Assessment of The relation between systematic risk and debt to cash flow ratio

Size: px
Start display at page:

Download "Assessment of The relation between systematic risk and debt to cash flow ratio"

Transcription

1 Inernaonal Journal of Engneerng Research And Managemen (IJERM) ISSN : , Volume-0, Issue-04, Aprl 015 Assessmen of The relaon beween sysemac rsk and deb o cash flow rao Moaba Mosaeran Guran, Akbar Amn Mehr Absrac The purpose of fnancal accounng daa and nsgh o asss decson-makng by her own organzaonal performance. Whle he am of he research s o evaluae he usefulness of accounng nformaon o nvesors and oher users of fnancal reporng accounng, whch s a grea source for nformaon abou he nvesmen ha s requred for any nvesmen decson. Cash flow nformaon o users of fnancal saemens o oban nformaon abou he use of fnancal resources durng a me perod. In parcular, f cash flow s he knd of nformaon ha ncludes deals of he operaons, nvesng, and fnancng acves gves. Fnancal saemens do no reflec accrual and cash flows of nformaon abou one of he maor weaknesses of he fnancal saemens of commmen. In such crcumsances, s assumed ha he lack of nformaon abou cash flows can be boh nernal and exernal decson-makers asray. Invesmen s essenal n he process of economc developmen of he counry. Facors nfluencng he choce of nvesmen, nvesmen rsk and reurn on nvesmen. Invesors are ryng o ensure he hghes reurn on nvesmen funds somewhere and have he lowes rsk. Therefore, companes should focus on prof besdes, he maxmum effcency and manage rsk as a lmng facor. Unlke reurn, rsk and non-quanave concep n mnd, herefore, more effors on economc and fnancal expers o denfy and measure rsk s concenraed. Index Terms Sysemc rsk, curren and non-curren lables, operang cash flow I. INTRODUCTION The mos mporan facor n he decson o purchase he shares s effecve and rsk-reurn performance compared wh oher nvesmen opporunes. Thus, nvesmens, rsk and reurn are key. The purpose of measurng rsk, enhance he ably o make beer decsons. I may be argued ha he dfference beween a company's sysemac rsks s due o dfferences n fnancal decson makng. So he queson s wheher here s a relaonshp beween sysemac rsk of equy and fnancal raos? In oher words, f he fnancal raos such as deb o cash flow rao, are able o explan he sysemac rsk? For managers, cash flows for each busness un s an mporan par of hs responsbly, accounably Manuscrp receved Aprl 17, 015 Moaba Mosaeran Guran, Deparmen of Accounng, Faculy of Humanes, Naafabad Branch, Islamc Azad Unversy, Naafabad, Isfahan, Iran Akbar Amn Mehr, Accounng deparmen, Tehran payam e noor unversy, Tehran, Iran / Accounng deparmen, Naafabad Azad Unversy, Naafabad, Iran and responsveness of he owners of capal accouns. So many managemen decsons, he consequences assocaed wh cash. On he oher hand, nvesors, credors, employees, cusomers and he ably of he eny o generae cash flows s becomng ncreasngly desrable o provde he resources ha are avalable o he eny, are concerned. Ceran fnancal raos and leverage raos of deb o help he sakeholders o evaluae he eny's fnancal srucure s. I s mporan o esablsh wheher he deb has no effec on cash flows of he busness and wll have hs respec do wh sysemc rsk. Relaon deb o cash flow rao s ofen used n fnancng large corporaons. Ths sudy examnes he relaonshp beween vehcle and pars manufacurng ndusry's focus from basc meals. The purpose of Jahankhan porfolo heory and asse prcng model sudy of nvesmen (CAPM) Appled research amed o examne he assocaon beween sysemc rsk n he fnancal raos o asss nvesors n corporae shares are prced correcly. [13] The research quesons o be answered are as follows: The relaonshp beween he rao of deb o cash flow and f here are hghly correlaed wh sysemac rsk, how much s?when wo peces of basc meals n he auomove and non-curren lables Curren and compare he behavor of he varables, how? Assumpons: 1. The rao of oal deb o cash flow s a sgnfcan correlaon wh sysemc rsk. 1.1 The rao of oal deb o cash flow o sysemc rsk auo pars ndusry, here s a sgnfcan relaonshp. 1. The rao of oal deb o cash flow o sysemc rsk n he basc meals ndusry, here s a sgnfcan relaonshp.. The rao of curren lables o cash flow s a sgnfcan correlaon wh sysemc rsk. The curren rao of deb o cash flow o sysemc rsk auo pars ndusry, here s a sgnfcan relaonshp.. The curren deb o cash flow rao of basc meals ndusry wh sysemc rsk, here s a sgnfcan relaonshp. 3. Non-Curren rao of deb o cash flow, here s a sgnfcan assocaon wh sysemc rsk. 3.1 Non-Curren deb o cash flow rao of sysemc rsk auo pars ndusry, here s a sgnfcan relaonshp. 3. Non-Curren deb o cash flow rao of basc meals ndusry wh sysemc rsk, here s a sgnfcan relaonshp. Place he desgn and physcal plannng The curren research n he feld of publc company lsed secures Fscher of Tehran. [8] And s daa usng Belkaou, he offcal webse of he Tehran Sock Exchange and CDs conanng fnancal nformaon lsed companes n Tehran Sock Exchange, has been gahered. [3] The subec 57

2 Assessmen of The relaon beween sysemac rsk and deb o cash flow rao Ths paper examnes and ess he relaonshp beween he rao of deb o cash flow o sysemc rsk n frms lsed n Tehran sock exchange deals. Perod Research The research was 6 years snce 1386 o he year 1391 on frms lsed n Tehran Sock Exchange was. Rsk measuremen procedures One of he bes known mehods for measurng rsk, he varance or sandard devaon of he reurns-s expeced. The dsperson of reurns around he expeced value, as measured by he varance or sandard devaon hgher (wh all oher facors beng equal) dsrbuon represens more. Anoher way o measure rsk olerance s. In conras o mehods of measurng all he devaons from forecass are analyzed. Expeced raes of reurn If each possble oucome mulpled by he probably ha we have acheved ogeher and hen answer, hen we ge a weghed average of possble oucomes. Wegh, he mean probably weghed expeced reurn rae s he same. R P1 R1 P R... Pn R n n 1 P R Downsde Expeced rae of reurn for a porfolo s he weghed average of expeced raes of each nvesmen n he porfolo, Each wegh s: Each value n he value of nvesmens and he formula for calculang he expeced reurn for each porfolo are: E n por W ER 1 Varance (SD) performance of an nvesmen A sandard measure of he rae of reurn may be (R) he expeced raes of reurn (E (R)) and s calculaed as follows. Var SD n R ER 1 N R ER I 1 P. P Where: P s he probably of raes of reurn may. Varance (sandard devaon) of porfolo reurns Before sang he porfolo varance formula s he concep of covarance, and correlaon explaned. Covarance reurns A sandard measure of he varably of he varable used o calculae he average for each of hem over me. Porfolo analyss, usually due o covarance raes of reurn. No prce or oher varable. Posve covarance means ha he rae of reurn on nvesmen o move n one drecon han he average of each of hem durng a specfed perod, end. Negave covarance ndcaes ha he rae of reurn on her nvesmens end o average over a specfed nerval of me o change drecon. Covarance value, he varance of reurns for each seres of Secures and depends on he relaonshp beween he seres converges. Covarance raes of reurn of asse, s defned as follows. Cov, E R E R R E R If he rae of reurn on a share of he average rae of reurn on he share over a gven perod s hgher (lower) rae of reurn and oher share n he same perod, he hgher (lower) han he average rae of reurn s he resul of he devaon of he mean, s he posve, f hs happens repeaedly, he covarance of reurn of he shares allocaed o he large posve value. However, f he rae of reurn hgher han he average rae of reurn of he shares a he same me hs oher conrbuon rae of reurn s lower han he average rae of reurn wll be negave consequences. If you are consanly movng n he oppose drecon occurs, he covarance beween he raes of reurn on he share allocaed o he large negave value. Covarance and correlaon of sock reurns affec he varably of each of he wo seres agree. Covarance beween asse reurns may ndcae a posve correlaon (negave) s weak. If each of he wo seres s unsable and has hgh varably, or may represen a posve correlaon (negave) s srong, f he wo seres are sable reurns. If we change he erms of he covarance of he reurn seres, he sandard we have come n hs way. r, Cov, = Sandard In whch: R,= A correlaon of reurns, devaon R, = Sandard devaon R. Covarance of reurns by he sandard devaon, correlaon coeffcen (3) whch can only be obaned n he range of (1 + and 1 -) o change. Value of +1 ndcaes a perfec posve lnear relaonshp wll. Ths means ha he movemen of he sock reurns wll be compleely lnear. The value -1 ndcaes a perfec negave lnear correlaon beween he wo seres s effcency. So ha f he rae of reurn on a sock's rae of reurn s hgher han average. Oher sock reurns as s value wll be less han he average rae of reurn. Formula for he sandard devaon of he porfolo Sandard devaon of he reurn on a porfolo of asses can be calculaed as a measure of porfolo rsk. The general formula for calculang he sandard devaon of Markowz porfolo por por n n n W W W Cov, In whch: = Sandard devaon of he porfolo, W = Sandard devaon of he porfolo, = The varance of he rae of reurn on asse, = The varance of he rae of Cov reurn on asse,, = Covarance beween he raes of reurn of asse and : Cov, r, Ths formula shows ha he sandard devaon of a porfolo of asses and funcon of he weghed average of her varances (whose wegh s a power of ), plus he covarance beween all asses n he porfolo s weghed. The sandard devaon of a porfolo of asses ncludes no only he varance of reurns of each asse s he covarance beween he wo asses are o be ncluded. Effcen Froner 58

3 Inernaonal Journal of Engneerng Research And Managemen (IJERM) ISSN : , Volume-0, Issue-04, Aprl 015 Porfolos ha maxmze reurn on a gven level of rsk or he rsk ha a gven level of performance s caused. Fgure 1 shows ha he porfolo s he mos effcen border reurns wh mnmal rsk wh a rae of reurn equal o or lower han oher porfolos ha are effcen border s he. Fgure 1: Effcen froner for dfferen porfolo Invesors on he bass of her uly funcon and he rsk of reachng a pon on he effcen froner. Any porfolo on he effcen froner han oher porfolos on he border, s superor. All hese porfolos have dfferen reurn and rsk, knowng he rsk, he expeced reurn rae also ncreases. Capal Marke Theory To esablsh a scenfc heory, s necessary o adop a se of assumpons hs work heorss o develop a heory ha explans wheher on how some of he world's surface wll respond o changes n he envronmen, focus. Frs, should he assumpons underlyng he heory of capal markes, and hen observes he fundamenal assumpons of who hey are, echnques for combnng he nvesmen porfolo n order o acheve he opmal porfolo wll be creaed o examne he. Assumpons of Capal Marke Theory Snce he heory of Karunarahne porfolo model based on he assumpons of he model porfolos n addon o he assumpons descrbed below are esablshed. [37] 1. All nvesors, nvesors Karunarahne model s defned as work ha wans o acheve he opmal pon on he effcen froner. Locaed on he pon of he effcen froner curve o selec a specfc porfolo rsk and reurn of he nvesor's uly depends.. Invesors can any amoun of money you wan o borrow or lend a he rsk-free rae of reurn. 3. All nvesors have he same expecaons. In oher words, hey have he same probably dsrbuon o esmae fuure raes of reurn. 4. all nvesors, nvesmen horzon s dencal (eg, 1 monh, 6 years, 1 year,...) Are. Ths wll requre a dfferen me horzon nvesors are rsk measures and rsk-free asses n accordance wh her nvesmen horzons of her choce. 5. all nvesmens, here are nfnely dvsble. Buy and sell curves ha are par of he asses or porfolos. 6. any ax and ransfer fee on sales of asses here. In oher words, he ransacon coss are ofen fnancal nsrumens s very small, less han 1%. 7. There s no nflaon or changes n neres raes or ha are que predcable. 8. The capal markes are n equlbrum. Ths means ha all nvesmens srcly accordng o her rsk level, prced. Developng Capal Marke Theory The maor facor ha makes up he porfolo heory, capal marke heory, he concep s he rsk-free asse. Marke porfolo Because he angen pon of he curve s he porfolo M, So he bes possble on-lne porfolo and locaed ha 's gong o be a person wans o borrow or lend a hand on he spo. Thus, he porfolo mus nclude all rsky asses f here s a rsk of an asse whn he porfolo s no, and does no have he funds o nves n, here s a demand for and herefore worhless asses. Because he marke s n equlbrum wh respec o all asses o marke value of he porfolo shares. Measure dversfcaon Prevously menoned all he CML porfolos ha are perfec posve correlaon, whch means ha he porfolo of CML wh he marke porfolo M (whch s full of varey) are a perfec correlaon. Ths mplcly suggess a measure of dversfcaon s perfec. To pu more clearly, whch s que dverse porfolo of asse correlaon coeffcen s +1, he marke porfolo s que logcal. For he full dversy of he sysemac elmnaon of all non-unque, one of he asses o be removed when all he non-sysemac rsk, sysemc rsk wll reman us say. Whch can no be elmnaed by dversfcaon. So a porfolo ha has a correlaon wh he marke porfolo s very dverse because ncludes sysemc rsk. Dversfcaon and elmnae unsysemac rsk. The purpose of dversfcaon, reducng he sandard devaon of he porfolo. Wh regard o he assumpon ha he correlaon beween secures s ncomplee, so addng new secures n he porfolo, he porfolo reduces he average covarance. The mporan queson, wheher he number of secures o be ncluded n he porfolo has a dverse porfolo reached? To answer hese quesons, we mus ncrease he sze of he porfolo by addng he number of secures ha have a posve correlaon beween wha happens. Generally beween 5.0 and 6.0 s he correlaon beween secures Amerca (Rley 01). [4] A seres of sudes, he mean and sandard devaon of he porfolo ha s randomly seleced, dfferen szes o be examned and esed. For example, Evans and Archer, he sandard devaon of a porfolo of more han 0 conrbuon has been calculaed, he resuls showed ha he maxmum benef of dversfcaon s acheved, a he begnnng of dversfcaon s hen gradually reduced and rend fnds. To pu more clearly, 90% of he benefs of dversfcaon n a porfolo conssng of 1 o 18 shares acqured. [7] Mer Saman has he advanage of dversfyng he ransfer coss resulng from he addon of new shares under he conrac. The resuls showed ha he porfolo s well dversfed nvesor for a borrower mus be a leas 30 shares and 40 shares o an nvesor s he lender. [35] If he correlaon beween he number of new shares of sock n a porfolo, ncomplee, you can add new shares n he porfolo reduces he sandard devaon of he porfolo. The varably can no be elmnaed. The sandard devaon of a porfolo when he marke reaches he level of porfolo dversfcaon s complee and all he unsysemac rsk s elmnaed. Wh all of hese problems sll exs and can no marke rsk or sysemc rsk due o varably and lack of confdence n macroeconomc facors ha affec elmnae he all powerful asses. Sll, can be reduced. The dversy of he world, have lower levels of sysemc rsk. Because some of he sysemc rsk n a counry wh sysemc rsk n oher counres are uncorrelaed varables. As a resul, f he world 59

4 Assessmen of The relaon beween sysemac rsk and deb o cash flow rao s dversfyng o reach he global sysemc rsk (Relly 014). [5] Leraure Research n hs feld can be dvded no caegores: The frs group of sudes on he relaonshp beween he ndependen varables were evaluaed wh he opc. Lke hese references [5], [10], [14], [1], [9], [30], [34]. Second caegory: sudes have nvesgaed several varables, such as he sudy of hese references [], [4], [9], [15], [17], [], [3], [5], [3], [33], [36]. Ball sudy he effec of capal srucure on he sysemac rsk of common sock enled o lnk he seres of fnancal problems (MM Capal Srucure Theory and Capal Asse Prcng Model) dd. The Capal Asse Prcng Model and he Theory of Capal Srucure MM loan of any amoun, assumng a fxed number of shares ncreases he nvesmen rsk or n oher words, he deb rao s hgher han he reurn on asses of s covarance wh he marke porfolo reurn s greaer Hamada her sudy, he purpose of several. [1] The frs one was an aemp by he mpac of fnancal leverage on sysemac rsk analyss of he lnkages beween fnance corporaons and esablsh a porfolo of secures. The second obecve MM red o es ha heory. The hrd obecve f he MM heory s vald for esmang he cos of capal a frm offer. Ball n he frs sudy o llusrae he heorecal relaonshp beween he heory of capal srucure MM n CAPM model used by he followng equaon and hen exrac he sysemac rsk of generalzed CAPM model. ( X I )(1 ) P G D C X earnngs before neres and axes, I neres and oher fxed coss over a perod of, ax rae, g P preferred sock dvdends, G changes n he company's growh rae, D ordnary Dvdends, C changes n he marke prce of g ordnary shares. Afer a heorecal sudy, Hamada o he concluson ha he sysemac rsk of he company ha s deb free deb s hgher han he average company. To prove hs heorem, 3004 praccal par of he New York Sock Exchange and wh he assumpon of he valdy of he heory of Modglan and Mlo adusmen and effcency of paymen. Thus, he rae of deb and preferred sock f he company does no have n s capal srucure wll be. [0] The dfferences observed beween sysemac rsk, 1 B and sysemac rsk-adused rae of reurn on he fnancal leverage rao s A. Hamada resul of praccal sudy companes were seleced by Modglan and Mller heorem s vald assumpon was ha beween 1 and 4% A and B s he resul of fnancal leverage. [11] If he covarance rae of reurn on asses, he varance s consan over me, he sysemac rsk of he marke hrough effcen capal asse prcng model s he expeced rae of reurn. Modglan and Mller's heory predcs ha he expeced reurn on shareholders of he company whou deb s a deb o. In oher words, E R B ) ( R ) o he above Sysemc rsk f he company s deb 1 B A ( A Sysemc rsk f he company has no deb nequaly s rue s ha Hamada A B sudes revealed self. [1] Ths means ha he samples used for he companes Modglan and Mller's predcons have been confrmed. Effecve conrbuon o he sudy of he relaonshp beween heory and porfolo heory makes fnancng corporaons. Breen sudy he relaonshp beween leverage and operaonal rsk was enled. A he begnnng of he heorecal rsk (general and sysemac) and a posve correlaon wh he varable coss of operang leverage s negave. To prove he hypohess ha operaonal rsk s drecly relaed o he operang lever, 3 ndusry homogeney of he produc (elecrcal, seel and ol) wll be seleced. [6] In he frs sage, varable coss and fxed he followng me-seres regresson obaned from each parcpan. TC a v Q u TC Toal operang expenses durng he h frm, Q Physcal produc -h frm n perod In he second sage, afer he company's esmae of he coeffcen of V usng he general marke rsk, (r) sandard devaon of monhly sock reurns of he Company for a perod of en years (1958 o 1968) and he sysemac rsk as calculaed ( ). The second sage of he ypes of rsk as dependen varables and varable coss n relaon o he followng cross-seconal regresson esmaed for each ndusry. ( r) 1 b1v 1 b v The resuls were all conssen wh he hypohess. The dependen varables nclude: he rae of reurn, sysemc rsk and he rsk of common sock. The perod of nvesgaon from 1176 o 1993 was a perod of 3 o 5 years (1981 o 1976) and (1987, 198) and (1993 o 1988) was dvded. Salm, Lnner, Markoqz and Macve usng mulple correlaon, he correlaon beween a se of fnancal and marke varables (rae of reurn - oal rsk and sysemac rsk) for each perod, were esed. [31], [16], [18], [19] The resuls showed ha he raos of fnancal marke varables here unsable relaonshp. In oher words, he relaonshp beween fnancal raos and marke varables ha change over me. Anoher par of he sudy, he fnancal raos of he weny-sx key rao decreased. 1. quck. The range of defensve measures 3. Deb o Capal 4. The reurn on equy (ROE) 5. The oal asse urnover 6. Cash Flow for Sale The resuls showed ha 3 of he 5 years beween 1976 and 1993, he fnancal raos and marke varables are sascally sgnfcan. Inernal nvesgaon Roll he effec of capal srucure (leverage) on a regular sysemac rsk acceped n he Tehran Sock Exchange. [6] 60

5 Inernaonal Journal of Engneerng Research And Managemen (IJERM) ISSN : , Volume-0, Issue-04, Aprl 015 In hs sudy, 6 companes lsed n Tehran Sock Exchange n 1368, and has enabled he exchange of neres paymens receved loans were seleced durng he perod (1368 o 137) were examned. The research hypoheses are: 1. The relaonshp beween capal srucure (fnancal leverage), he Company and he Company's common sock sysemac rsk n he Tehran Sock Exchange, here.. The observed dsrbuon of shares n companes leverage sysemac rsk, leverage s greaer han he non-sysemac rsk. The resuls show ha he average non-leveraged s smaller han he mean leverage. The use of leverage (deb) sysemac rsk n he sock marke goes up. The non-leveraged bea dsrbuon, he dsrbuon of Leverage he wo communes were compared usng analyss of varance. Accordng o fgures obaned from he sudy of non-leveraged socks are smaller han he sandard devaon (SD) sock lever n any ndusry. Roll n hs docoral dsseraon explores he "levers of operaonal, fnancal and sysemac rsk as he company's common sock lsed companes n Tehran Sock Exchange" paymen. The resuls show ha fnancal leverage effec on he level of sysemac rsk,.e. wh he ncrease n corporae deb, sysemac rsk s ncreased. If he operang lever on he rsk of sysemc effec. Company sze (he asse) has a sgnfcan effec on he amoun of rsk. In oher words, he sze of he company's asses ncreases, decreases sysemac rsk. Gven he above, he survey mehod s a correlaon. [7] The research ams o nvesgae he correlaon beween varables based on he analyss. Correlaon sudes can be dvded no hree caegores accordng o he purpose: 1. Correlaon beween varables: he correlaon of wo varables, he paper s o nvesgae he relaonshp beween he wo varables.. Regresson analyss: Ths analyss ams o predc changes n he dependen varable due o changes n one or more ndependen varables. 3. analyss of marx or covarance : In some sudes, he correlaon beween he wo ses of varables, correlaon or covarance marx able name s used. Correlaon or covarance marx n whch he research wll be he facor analyss and srucural equaon modelng. Ths analyss ams o oulne a se of daa or laen varables (consrucs) and he srucural equaon model, examne relaonshps, based on heores and research fndngs are avalable. Due o hs s possble beween he ndependen varables used n hs sudy (fnancal raos) are boh lnear. The followng mehodology was used: Companes n Tehran Sock Exchange wll be calculaed Cov( R, R m ) from. m Usng facor analyss, fnancal raos requred hey wll be chosen for use n regresson. Usng mulple regresson, correlaon beween and fnancal raos of companes n Tehran Sock Exchange (whch are denfed n sep ) wll be esed. The populaon, sample and samplng: The populaon of he desred number of elemens of whch have a leas one characersc. Characersc Tra ha s shared beween all elemens of he arge populaon and he arge populaon dsnc from oher communes. Secon of he communy sample sascs say. The oher example s he lmed number of sascs ha represen he people of he man feaures of he communy. In hs sudy, he populaon of frms n he auomove ndusry and componens of basc meals lsed n Tehran Sock Exchange wll be pared wh hese feaures: Up o he end of 86 years n Tehran Sock Exchange acceped. 87 o 91 years of s shares are connuously raded on he Tehran Sock Exchange. Ther fscal year end of March, he company s no nvesng. In respec of he above lmaons, 90 parcpaed n he sudy populaon, all of whch were seleced. Daa collecon Informaon requremens of he basc fnancal saemens, monhly and annual repors, announcemens of companes and organzaons have aken he Tehran Sock Exchange. Afer daa collecon mehod, he varables were calculaed usng Excel spreadshee sofware. In order o collec nformaon from secondary sources,.e. organzaonal documens publshed on CD company sock nformaon s exraced. Hypohess esng Some research ssues, especally hose ha arge predcons are combned o deermne he correlaon beween he creron and predcor varables, each of hese varables are correlaed o some exen, s of grea mporance. The mehod by whch he predcor varables are combned s called regresson. In hs mehod, a mulvarae regresson equaon o calculae he values measured by a formula summarzes he forecas. Coeffcens for each varable accordng o s mporance n predcng he creron varable was calculaed and deermned. The degree of correlaon beween he predcor varables and he creron varable n he regresson equaon, s gven by he coeffcen. Daa analyss To analyze he daa from he presen sudy we used confrmaory facor analyss o denfy general facors, usng mulple regresson analyzng he mpac of he denfed facors on he dependen varable sysemc rsk of common sock wll be revewed. The populaon conssed of wo ndusral companes lsed n Tehran Sock Exchange s referred o he fnancal saemens o dae s he end of March. The research for he fnancal year s beween 1387 o Varables Reurns: he rae of change wh respec o dvdends and sock prces rse and he effecs of share capal and earnngs are compued. Sysemac rsk ( ): Par of he rsk can be reduced by dversfyng s shares. Sandard measure of sysemac rsk, s close o he rae of reurn on a secures radng n all secures on he marke compared o he raes of reurn measured, calculaed by he followng equaon: accounng: he regresson coeffcen accounng profs of a company wh profs of sock marke prce ndex (marke rae). 61

6 Assessmen of The relaon beween sysemac rsk and deb o cash flow rao Sock Prce Index Sock Tehran. Due o he volaly of marke reurns and cash reurns are compued. The general model for he sudy are: β = Deb/CF*α+x0 Sysemac Rsk, Deb/CFThe rao of deb o cash flow, x0 s he nercep. Measured varables Dependen varable: Varable ha descrbes he purpose of research or predc varably n. In oher words, he dependen varable, whch s a key varable n erms of he problem o be nvesgaed. The dependen varable n hs research s he sysemac rsk of common sock. sysemc rsk o he sock reurn and porfolo reurn rae depends. Reurn on equy: Facors nfluencng he rae of reurn on he sock are: 1) The prce of he sock a he begnnng of he perod, ) he sock prce a he end of he perod, 3) Cash dvdends per share, 4) Number of shares a he begnnng of he perod 5) Number of shares a end of perod 6) ncreased he number of shares, ncludng shares of sock and cash aken from he reserves or reaned earnngs. Thus he overall formula o calculae he rae of reurn on equy frms wll be examned: ( P Pn ) NC Ne P ( P P 1) ( D ) N N R P 1 In whch: R he prce of monhly sock reurns over he frs perod, P 1 he sock prce a he begnnng of each monh, P he sock prce a he end of each monh, Pn he nomnal value per share, D dvdends per share, NC an ncrease of he number of shares earned cash, N shares have rsen from he reserves or reaned earnngs, before he capal ncrease e N he number of shares I I R 1 m I1 R m Monhly rae of reurn on he marke porfolo, I 1 Tehran Sock Exchange sock prce ndex a he begnnng of each monh, I Tehran Sock Exchange sock prce ndex a he end of each monh Sysemac rsk eques : he followng formula s used o calculae he sysemc rsk. Cov( R, Rm ) ( Rm ) Sysemac rsk of common sock, R common sock reurns of companes, R he sysemac rsk of he marke m porfolo reurn rae companes surveyed n hs sudy s based on 5-year raes of reurn of (of 60 monhly) wll be calculaed. Independen varable: once you have seleced a propery ha nerfere or manpulaed by he researcher and he effec on he dependen varable values can be observed. The ndependen varable s he rao of deb o cash flow. Analyss of fndngs Descrpve sascs: basc meals and vehcle pars ndusry varables n Table (1) s provded. As seen n he basc meals ndusry average rao of oal deb o cash flow 3/880797, he curren deb o cash flow rao 3/706679, Non-Curren deb o cash flow rao 0/50506, he mean value of he auomoble ndusry and respecvely equal pars: 9/3468 and 8/ and 0/ ses. The basc meals ndusry as well as he maxmum and mnmum 3/ and 1/480,000 and he maxmum and mnmum varable ( ) auomove ndusry and he pars / and -1/480,000 Porfolo reurn rae: use he followng formula o calculae he rae of reurn on he marke porfolo wll be used. Sandard devaon The leas Table 1: descrpve sascs research The maxmum Mddle The mean Varable sascal quany 0 / / / / / /137 3 / / / / / / / / / BETA TDCF Basc meals ndusry 0 /5155-0/ / / /50506 LTCF 0 / / /90977 / / /463 - / / / / / / / / / / / / / / BETA TDCF LTCF Auomove and Pars The frs man hypohess esng and analyss The frs basc assumpon rgh now The rao of oal deb o cash flow s a sgnfcan correlaon wh sysemc rsk.the followng Expresson and sub-hypoheses and es resuls are assessed on he regresson model. 6

7 Inernaonal Journal of Engneerng Research And Managemen (IJERM) ISSN : , Volume-0, Issue-04, Aprl 015 The frs sub-hypohess es Accordng o he hypohess presened Sascal hypohess auomove ndusry and pars of speech are as follows. H0: Sysemac rsk s he rao of oal deb o cash flow wh vehcle and pars ndusry, here s no sgnfcan relaonshp. H1: The rao of oal deb o cash flow o sysemc rsk n he auomove pars There s a sgnfcan relaonshp. The frs sub-model regresson hypohess es resuls n Table () s provded. For a good revew of he Usually he crera deermnng facor (R ) Adused coeffcen of deermnaon (Ad. R ) And Wason camera (D-W) and The model was also used o sudy he F sascs. As Table (4-3) are observed The coeffcen of deermnaon (R = 0/7511)and Adused deermnaon coeffcen(ad. R =0/65161) s. Ths means ha he explanaory power of he model s desrable. Wason sasc camera s (146375/ = D-W) Ths means ha he frs-order auocorrelaon n he error componen model, does no exs. Fnally, he f( F=10/7031)sasc and s probably s equal o 0000/0. Snce he amoun s lkely o be less han sgnfcan level. The model was confrmed. Also, he coeffcen, suden es () and he sgnfcance level for he frs sub-hypohess, respecvely 00,4 / 0- and 559,891 / 1 and 116/0 are. Snce a sgnfcan amoun, more han 5%, hus: To reec a null hypohess ha here s no sgnfcan correlaon beween he rao of oal deb o cash flow and sysemc rsk s acceped. Table : The frs sub-hypohess es resuls of regresson models (Auomove and Pars) Sysemc rsk ( BETA) The resul Reecon / / ) 0/000001( Prob. 0 /116 T-sascs - 1/ Cameras Wason (D-W) F Sascs (Prob. F) Coeffcens - 0/004 0 / / Varable symbol TDCF Varable The rao of oal deb o cash flow The coeffcen of deermnaon (R ) Adused coeffcen of deermnaon (Ad. R ) The second sub-hypohess es H0 : The rao of oal deb o cash flow o sysemc rsk, here s no sgnfcan relaonshp beween he basc meals ndusry. H1 : The rao of oal deb o cash flow s a sgnfcan correlaon wh sysemc rsk basc meals ndusry. The resuls of he frs sub-hypohess esng regresson model Table (3) s provded. As you can see: The coeffcen of deermnaon s ( /0 = R ) Coeffcen of deermnaon adused s ( 33785/0 = Ad. R )s. Means ha he explanaory power of he model s a good level. Camera-Wason sasc s (143818/ = DW). Ths means ha he frs-order auocorrelaon n he error componen model does no exs. The F sascs s( 47601/3 = F ) I s also equal probably 0 / Snce he amoun s lkely o be less han sgnfcan level, hus confrmng he model s sgnfcan.accordng o he resuls of he ndex, sascs T suden() and he second sub-hypohess, respecvely are -0/001370and - 0/ and 0 / 098. Snce a sgnfcan amoun s, more han 5%.Thus, assumng a reecon of he null hypohess s ha here s no meanngful relaonshp. Table 3: The second sub-hypohess es resuls of regresson. Sysemc rsk (BETA) resul Reecon / /47601 ) 0/00000( Sascs Prob. 0 /098-0/61476 Wason camera (D-W) F Sascs (Prob. F) Coeffcens - 0/ / /33785 Varable symbol Varable Curren deb o cash flow rao The coeffcen of deermnaon (R ) Adused coeffcen of deermnaon (Ad. R ) The second sub-hypohess es H0 : The curren deb o cash flow rao of sysemc rsk n he basc meals ndusry, here s no sgnfcan relaonshp. H1 : The curren deb o cash flow rao of sysemc rsk n he basc meals ndusry, here s a sgnfcan relaonshp. The second sub-hypohess es resuls of a regresson model n Table (4) s provded. As you can see: The coeffcen of deermnaon s ( 0/73108 = R ) and Coeffcen of deermnaon adused s ( 0/66419=Ad. R ). Means ha he explanaory power of he model s desrable. 63

8 Assessmen of The relaon beween sysemac rsk and deb o cash flow rao Camera-Wason sasc s (34579/=D-W). Ths means ha here s no auocorrelaon of he frs order error componen model. Fnally, he sasc F s (F=10/77956) And he probably s ha he 0000/0. Snce he amoun s lkely o be less han sgnfcan level, hus confrmng he model s sgnfcan. Accordng o resuls he coeffcen and Suden es () and The sgnfcance level for he second sub-hypohess Respecvely are - 0/ and - 4/ and 0 / Snce a sgnfcan amoun of surface area, less han 5%, so: To reec he null hypohess ha here s a negave relaonshp beween he meanng of he curren deb rao of cash flow o sysemc rsk s acceped. Table 4: The second sub-hypohess es resuls regresson model (basc meals ndusry) Sysemc rsk (BETA) resul Confrmaon / /77956 ) 0/0000( Prob. Sascs 0 /0000-4/ Cameras - Wason (D-W) F Sascs (Prob. F) Coeffcens - 0/ / /66419 Varable symbol Varable Curren deb o cash flow rao The coeffcen of deermnaon (R ) Adused coeffcen of deermnaon (Ad. R ) The hrd man hypohess esng and analyss Three man hypoheses: Non-Curren deb o cash flow rao here s sgnfcan correlaon wh sysemc rsk. The followng Regresson model and es her hypoheses and sub-expresson s evaluaed. The frs sub-hypohess es H 0 : The curren deb o cash flow rao of sysemc rsk n he basc meals ndusry, here s no sgnfcan relaonshp. H 1 : Beween he curren deb o cash flow rao of sysemc rsk n he basc meals ndusry, here s a sgnfcan relaonshp. The resuls of he second sub-hypohess esng regresson model (Table 5) are presened. As you can see: The coeffcen of deermnaon s( /0=R ) and Adused deermnaon coeffcen s (33500/0= Ad. R ). Means ha he explanaory power of he model s desrable. Camera-Wason sasc s (163186/=D-W).Ths means ha he frs-order auocorrelaon n he model error s. Value and F ( 50106/3 = F ) and s probably s equal o 0000/0. Snce he amoun s lkely o be less sgnfcan level, The verfcaon model s sgnfcan. Table (4-7) observed: Coeffcen and Suden es () A sgnfcan amoun for he frs sub-hypohess Respecvely equal o 00673/0- and /0- and 340/0. Snce a sgnfcan amoun, more han 5% Thus, assumng a reecon of he null hypohess ha here s no sgnfcan relaonshp beween he proporon of Non-Curren deb o cash flow o sysemc rsk n he auomove and pars wll be acceped. Table 5: The frs sub-hypohess es resuls of regresson models (Auomove and Pars) Sysemc rsk (BETA) resul Reecon / /50106 ) 0/0000( Prob. 0 /340 Sascs - 0/ Wason camera (D-W) F (Prob. F) Sascs Coeffcens - 0/ / /33500 Varable symbol Varable Non-curren deb o cash flow rao The coeffcen of deermnaon (R ) Adused coeffcen of deermnaon (Ad. R ) The second sub-hypohess es H 0: Beween Non-Curren debs o cash flow rao of sysemc rsk n he basc meals ndusry, here s no sgnfcan relaonshp. H 1: Non-Curren deb o cash flow rao of sysemc rsk n he basc meals ndusry, here s a sgnfcan relaonshp. The resuls of he second sub-hypohess esng regresson model n Table (6) s provded. As you can see: The coeffcen of deermnaon s ( 73108/0= R )and Adused coeffcen of deermnaon s (66419/0 = Ad. R ) Means The explanaory power of he model s desrable. Camera-Wason sasc s (34579/=D-W) and hs means ha here s no auocorrelaon of he frs order error componen model. Value and F ( 77956/10 = F ) And s probably s equal o 0000/0., Snce he amoun s lkely o be less han sgnfcan level, hus confrmng he model s sgnfcan. Table (6) s observed: 64

9 Inernaonal Journal of Engneerng Research And Managemen (IJERM) ISSN : , Volume-0, Issue-04, Aprl 015 Coeffcen, suden es () and he sgnfcance level for he frs sub-hypohess, respecvely /0- and /0- and 0000/0. Snce a sgnfcan amoun of surface area ha s less han 5% Therefore, he null hypohess s reeced based on he assumpon ha here s a sgnfcan negave correlaon beween he raos of deb o cash flow wh Non-Curren sysemc rsk n he basc meals ndusry acceped. Table 6: The second sub-hypohess es resuls regresson model (basc meals ndusry) Sysemc rsk (BETA) resul Confrmaon / /77956 ) 0/0000( Prob. Sascs 0 /0000-4/ Cameras Wason (D-W) F Sascs (Prob. F) Coeffcens - 0/ / /66419 Varable symbol Varable Non-curren deb o cash flow rao The coeffcen of deermnaon (R ) Adused coeffcen of deermnaon (Ad. R ) Concluson and summary of research: Gven he mporance of sysemc rsk and ha our counry has been pad o hs opc. Therefore, n he presen sudy was U The relaonshp beween sysemc rsk raos of deb o cash flow sng he conceps and heores of fnancal managemen and lbrary sudes Basc meals and auo pars ndusry n he Tehran Sock Exchange examned and aken accoun of. The sudy, enled "The relaonshp beween sysemc rsk raos of deb o cash flow" s se n fve seasons. The frs chaper, afer sang he mporance and urgency of he problem, here are hree man hypoheses and sx secondary hypohess was nroduced as follows: The frs man hypohess The rao of oal deb o cash flow, here was a sgnfcan correlaon wh sysemc rsk. The frs sub-hypohess: The rao of oal deb o cash flow o sysemc rsk n he auomove ndusry and here s a sgnfcan relaonshp beween he pars. The second sub-hypohess Sysemac rsk s he rao of oal deb o cash flow wh he basc meals ndusry, here s a sgnfcan relaonshp. Two man hypoheses: The curren rao of deb o cash flow s a sgnfcan correlaon wh sysemc rsk. The frs sub-hypohess The curren deb o cash flow rao of sysemc rsk n he auomove and pars, here s a sgnfcan relaonshp. The second sub-hypohess: The curren rao of deb o cash flow s a sgnfcan correlaon wh sysemc rsk basc meals ndusry. Three man hypoheses: The rao of non-curren deb o cash flow s a sgnfcan correlaon wh sysemc rsk. The frs sub-hypohess: Non-Curren deb o cash flow rao of sysemc rsk n he auomove ndusry and here s a sgnfcan relaonshp beween he pars. The second sub-hypohess Non-Curren deb o cash flow rao of sysemc rsk n he basc meals ndusry, here s a sgnfcan relaonshp. An overvew of he man fndngs of he second hypohess The resuls of he frs sub-hypohess: In he second par, he second man research hypoheses were esed.. For hs reason, he frs model was he frs sub-sudy amed o es he hypohess. The frs sub-hypohess saes he curren deb o cash flow rao of sysemc rsk n he auomove and componens, here s a sgnfcan relaonshp, he resul gves he oppose resul (no sub-prme hypohess). The resuls of he second sub-hypohess: The second model, he second sub-hypohess es. Sub-second research hypohess saes ha, he curren deb o cash flow rao mes he sysemc rsks of basc meals ndusry, here s a sgnfcan relaonshp, (Second sub-hypohess). Gven he negave coeffcen obaned )-0/006863(. We can say negave relaon (nverse) beween he wo varables, here s, namely he ncrease (decrease) n curren lables o cash flow, Decrease (ncrease) he basc meals ndusry sysemc rsk. An overvew of he man fndngs of he hrd hypohess The resuls of he frs sub-hypohess The hrd secon, he hrd research hypohess was esed for hs reason, he frs model was he frs sub-sudy amed o es he hypohess. Non-Curren deb o cash flow rao of sysemc rsk n he auomove ndusry and here s a sgnfcan relaonshp beween he pars. The resuls wll yeld he oppose concluson (no verfed frs sub-hypohess). 65

10 Assessmen of The relaon beween sysemac rsk and deb o cash flow rao The resuls of he second sub-hypohess The second model, he second sub-hypohess esng.. Sub-second research hypohess saes ha, Non-Curren deb o cash flow rao of basc meals ndusry here s a sysemc rsk (Second sub-hypohess). Gven he negave coeffcen obaned )-0/006863( We can say ha he relaonshp s negave (nverse) s esablshed beween he Pearson, Namely he ncrease (decrease) Non-Curren deb o cash flow rao, a decrease (ncrease) resul n sysemc rsk n he basc meals ndusry. The summary of he resuls s gven n able 7. Table 7: summary of he resuls Table (5-1). Summary of resuls Basc meals ndusry Auomove and Pars Dependen varable Rsk Sysemac Symbol Independen varable Confrma on Confrma on Confrma on Reecon Reecon Reecon CONCLUSION BETA The mos mporan facors ha nfluence decson makng for he purchase of shares Reurn and rsk n comparson wh oher nvesmen opporunes he rsk and reurn on nvesmen are key. The measuremen of rsk, ncreased ably o consder a beer decson. D nvesmen on he one hand leads o neffcen nvesmen and lead hose o producve secors of he economy On he oher hand, Due o he orenaon of nvesors (based on rsk and reurn) nvesmens wll be dreced owards ndusres who benef from a more or less rsk. Ths evenually led o he effcen allocaon of resources.. In hs sudy, he relaonshp beween he rao of deb o cash flow o sysemc rsk n he sock company of basc meals ndusry and car pars were nvesgaed. The resuls show ha he rao of deb o cash flow and sysemc rsk n he basc meals ndusry, here s a sgnfcan relaonshp. Bu n he auomove and componens resuls showed he oppose resul was obaned. In oher words, he rao of deb o cash flow and sysemc rsk n he ndusry, here s no sgnfcan relaonshp. REFERENCES [1] [1] Ball, R. & Brown, P An Empercal Evaluaon of Accounng Numbers. Journal of Accounng Reasearch, PP: [] [] Beaver, W., Keller P. & Scholes, M The Accounng Revew, PP: [3] [3] Belkaou, A Accounng Deermnans of Sysemac Rsk n Canadan Common Sock: A Mulvarae Approach. Accounng & Busness Research, PP: [4] [4] Benzon, U. & Shal, S. 00. Sze Leverage and Dvdend Record as Deermnans of Equy Rsk. The Journal of Fnance, PP: (TDCF) () (LTCF) The rao of oal deb o cash flow Curren deb o cash flow rao Non-curren deb o cash flow rao [5] [5] Bowman, G.R The Theorecal Relaonshp beween Sysemac Rsk and Fnancal (Accounng) Varables. The Journal of Fnance, PP: [6] [6] Breen, W.J & Lerner, E.M Corporae Fnancal Sraeges and Marke Measures of Rsk and Reurn. Journal of Fnance, PP: [7] [7] Evans, J. L. & Archer, S. H Dversfcaon and he Reducon of Dsperson: An Emprcal Analyss. Journal of Fnance, PP: [8] [8] Fscher, D.E. & Jordan, R.J Secury Analyss and Porfolo Managemen, 4 Edon. [9] [9] Frelman, M. & Savage, L. J The Uly Analyss of Choce Involvng Rsk. Journal of Polcal Economy, PP: [10] [10] Gonedes, N.J Evdence of Informaon Conen of Accounng Numbers: Accounng-Based and Marke Based Esmaed of Sysemac Rsk. Journal of Fnancal and Quanave Analyss, PP: [11] [11] Hamada, R., March 001. Porfolo Analyss, Marke Equlbrum and Corporaon Fnance. Journal of Fnance. [1] [1] Hamada, R. May The Effec of Frms Capal Srucure on he Sysemac Rsk of Common Socks. Journal of Fnance, PP: [13] [13] Jahankhan, A. & Morgan, L. Auuman 011. Commercal Bank Fnancal Polces and Ther Impac on Marke Deermned Measures of Rsk. Journal of Research, PP: [14] [14] Lev, B The Assocaon beween Operaonal Leverage and Rsk. Journal of Fnancal and Quanave Analyss, PP: [15] [15] Levy, H. & Sarna, S Porfolo and Invesmen Selecon. Hall, PP: 36. [16] [16] Lnner, J. December 000. Secury Prces, Rsk and Maxmal Gans from Dversfcaon. Journal of Fnance, PP: [17] [17] Markowz, H.,March 1985," Porfolo Selecon ", Journal Of Fnance, PP: [18] [18] Markoqz, H Porfolo Selecon-Effcen Dversfcaon of Invesmens. New Yourk: Wley & Sonns. [19] [19] Macve, R. 01. A concepual framework for fnancal accounng and reporng. New managemen. New York: Wley. 66

11 Inernaonal Journal of Engneerng Research And Managemen (IJERM) ISSN : , Volume-0, Issue-04, Aprl 015 [0] [0] Modglan, F. & Mller, M. June The Cos of Capal, Corporaon Fnance and he Theory of Invesmen. Amercan Economc Revew. [1] [1] Mosson, J Equlbrum n a Capal, Asse Marke. Economerca, PP: [] [] Penman, S.H Fnancal Saemen Analyss and Secury Valuaon, 1h Edon, Mc GrowHll. [3] [3] Relly, F.K. & Wrgh, D.J. Sprng 001. Comparson of Publshed Beas. Journal of Porfolo Managemen, PP: [4] [4] Relly, F.K. & Akhar, R.A. 01. The Benchmark Error Problem wh Global Capal Markes. Journal of Porfolo Managemen, PP: [5] [5] Relly, F.K. & Brown, K.C Invesmen Analyss and Porfolo Managemen, 6h Edon, Harcour Collage Publsher. [6] [6] Roll, R. March 003. A Crque of Asse Prcng Theores Tess. Journal of Fnancal Economcs, PP: [7] [7] Roll, R Ambguy When Performance Is Measured By he Secures Marke Lne. Jornal of Fnance, PP: [8] [8] Roll, R Performance Evaluaon and Benchmark Error II. Journal of Porfolo Managemen, PP: 17-. [9] [9] Ross, S The Arbrage Theory of Capal Asse Prcng. Journal of Economc Theory, PP: [30] [30] Ross, S Reurn and Arbrage n Rsk and Reurn n Fnance. Frend and Bcksler, PP: [31] [31] Salm, T., Vranen, I. Yl-oll, P. & Kallunk, J.P Assocaon beween Accounng and Marke-Based Varables. Paper Presened n Workshop Fnancal Saemen Analyss, Unversy Of Vaasa. [3] [3] Sharp, W.F Capal Asse Prces: A Theory of Marke Equlbrum under Condons of Rsk. Journal of Fnance, PP: [33] [33] Spro, P.S The Impac of Ineres Rae Changes on Sock Prce Volaly. Journal of Porfolo Managemen, PP: [34] [34] Saman, M. Wner 004," Beas Compared: Merrll Lynch vs. Value Lne. Journal of Porfolo Managemen, PP: [35] [35] Saman, M How Many Socks Make a Dversfed Porfolo?. Journal of Fnancal and Quanave Analyss, PP: [36] [36] Tobn, J Lqudy Performance as Behavor owards Rsk. Revew of Economc Sudes, PP: [37] [37] Karunarahne, W. V. & Raapakse, R. M The Value Relevance of Fnancal Saemens Informaon: wh Specal Reference o he Lsed Companes n Colombo Sock Exchange. ICBI Unversy of Kelanya, Sr Lanka. 67

Dynamic Relationship and Volatility Spillover Between the Stock Market and the Foreign Exchange market in Pakistan: Evidence from VAR-EGARCH Modelling

Dynamic Relationship and Volatility Spillover Between the Stock Market and the Foreign Exchange market in Pakistan: Evidence from VAR-EGARCH Modelling Dynamc Relaonshp and Volaly pllover Beween he ock Marke and he Foregn xchange marke n Paksan: vdence from VAR-GARCH Modellng Dr. Abdul Qayyum Dr. Muhammad Arshad Khan Inroducon A volale sock and exchange

More information

Noise and Expected Return in Chinese A-share Stock Market. By Chong QIAN Chien-Ting LIN

Noise and Expected Return in Chinese A-share Stock Market. By Chong QIAN Chien-Ting LIN Nose and Expeced Reurn n Chnese A-share Sock Marke By Chong QIAN Chen-Tng LIN 1 } Capal Asse Prcng Model (CAPM) by Sharpe (1964), Lnner (1965) and Mossn (1966) E ( R, ) R f, + [ E( Rm, ) R f, = β ] + ε

More information

Baoding, Hebei, China. *Corresponding author

Baoding, Hebei, China. *Corresponding author 2016 3 rd Inernaonal Conference on Economcs and Managemen (ICEM 2016) ISBN: 978-1-60595-368-7 Research on he Applcably of Fama-French Three-Facor Model of Elecrc Power Indusry n Chnese Sock Marke Yeld

More information

Section 6 Short Sales, Yield Curves, Duration, Immunization, Etc.

Section 6 Short Sales, Yield Curves, Duration, Immunization, Etc. More Tuoral a www.lledumbdocor.com age 1 of 9 Secon 6 Shor Sales, Yeld Curves, Duraon, Immunzaon, Ec. Shor Sales: Suppose you beleve ha Company X s sock s overprced. You would ceranly no buy any of Company

More information

Differences in the Price-Earning-Return Relationship between Internet and Traditional Firms

Differences in the Price-Earning-Return Relationship between Internet and Traditional Firms Dfferences n he Prce-Earnng-Reurn Relaonshp beween Inerne and Tradonal Frms Jaehan Koh Ph.D. Program College of Busness Admnsraon Unversy of Texas-Pan Amercan jhkoh@upa.edu Bn Wang Asssan Professor Compuer

More information

Correlation of default

Correlation of default efaul Correlaon Correlaon of defaul If Oblgor A s cred qualy deeroraes, how well does he cred qualy of Oblgor B correlae o Oblgor A? Some emprcal observaons are efaul correlaons are general low hough hey

More information

The Financial System. Instructor: Prof. Menzie Chinn UW Madison

The Financial System. Instructor: Prof. Menzie Chinn UW Madison Economcs 435 The Fnancal Sysem (2/13/13) Insrucor: Prof. Menze Chnn UW Madson Sprng 2013 Fuure Value and Presen Value If he presen value s $100 and he neres rae s 5%, hen he fuure value one year from now

More information

Pricing and Valuation of Forward and Futures

Pricing and Valuation of Forward and Futures Prcng and Valuaon of orward and uures. Cash-and-carry arbrage he prce of he forward conrac s relaed o he spo prce of he underlyng asse, he rsk-free rae, he dae of expraon, and any expeced cash dsrbuons

More information

The impact of intellectual capital on returns and stock prices of listed companies in Tehran Stock Exchange

The impact of intellectual capital on returns and stock prices of listed companies in Tehran Stock Exchange Appled Scence Repors www.pscpub.com/asr -SSN: 231-944 / P-SSN: 2311-139 DO: 1.15192/PSCP.ASR.214.4.3.1516 App. Sc. Repor. 4 (3), 214: 15-16 PSC Publcaons The mpac of nellecual capal on reurns and sock

More information

Floating rate securities

Floating rate securities Caps and Swaps Floang rae secures Coupon paymens are rese perodcally accordng o some reference rae. reference rae + ndex spread e.g. -monh LIBOR + 00 bass pons (posve ndex spread 5-year Treasury yeld 90

More information

IFX-Cbonds Russian Corporate Bond Index Methodology

IFX-Cbonds Russian Corporate Bond Index Methodology Approved a he meeng of he Commee represenng ZAO Inerfax and OOO Cbonds.ru on ovember 1 2005 wh amendmens complan wh Agreemen # 545 as of ecember 17 2008. IFX-Cbonds Russan Corporae Bond Index Mehodology

More information

The Empirical Research of Price Fluctuation Rules and Influence Factors with Fresh Produce Sequential Auction Limei Cui

The Empirical Research of Price Fluctuation Rules and Influence Factors with Fresh Produce Sequential Auction Limei Cui 6h Inernaonal Conference on Sensor Nework and Compuer Engneerng (ICSNCE 016) The Emprcal Research of Prce Flucuaon Rules and Influence Facors wh Fresh Produce Sequenal Aucon Lme Cu Qujng Normal Unversy,

More information

Empirical Study on the Relationship between ICT Application and China Agriculture Economic Growth

Empirical Study on the Relationship between ICT Application and China Agriculture Economic Growth Emprcal Sudy on he Relaonshp beween ICT Applcaon and Chna Agrculure Economc Growh Pengju He, Shhong Lu, Huoguo Zheng, and Yunpeng Cu Key Laboraory of Dgal Agrculural Early-warnng Technology Mnsry of Agrculure,

More information

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS Ineres Theory Ths page ndcaes changes made o Sudy Noe FM-09-05. January 4, 04: Quesons and soluons 58 60 were added. June, 04

More information

The Underperformance of IPOs: the Sensitivity of the Choice of Empirical Method

The Underperformance of IPOs: the Sensitivity of the Choice of Empirical Method Journal of Economcs and Busness Vol. XI 2008, No 1 & No 2 The Underperformance of IPOs: he Sensvy of he Choce of Emprcal Mehod Wald Saleh & Ahmad Mashal ARAB OPEN UNIVERSITY Absrac Ths paper nvesgaes he

More information

Albania. A: Identification. B: CPI Coverage. Title of the CPI: Consumer Price Index. Organisation responsible: Institute of Statistics

Albania. A: Identification. B: CPI Coverage. Title of the CPI: Consumer Price Index. Organisation responsible: Institute of Statistics Albana A: Idenfcaon Tle of he CPI: Consumer Prce Index Organsaon responsble: Insue of Sascs Perodcy: Monhly Prce reference perod: December year 1 = 100 Index reference perod: December 2007 = 100 Weghs

More information

Conditional Skewness of Aggregate Market Returns: Evidence from Developed and Emerging Markets

Conditional Skewness of Aggregate Market Returns: Evidence from Developed and Emerging Markets Global Economy and Fnance Journal Vol. 7. No.. March 04. Pp. 96 Condonal Skewness of Aggregae Marke Reurns: Evdence from Developed and Emergng Markes Anchada Charoenrook and Hazem Daouk Ths paper examnes

More information

Chain-linking and seasonal adjustment of the quarterly national accounts

Chain-linking and seasonal adjustment of the quarterly national accounts Sascs Denmark Naonal Accouns 6 July 00 Chan-lnkng and seasonal adjusmen of he uarerly naonal accouns The mehod of chan-lnkng he uarerly naonal accouns was changed wh he revsed complaon of daa hrd uarer

More information

Bank of Japan. Research and Statistics Department. March, Outline of the Corporate Goods Price Index (CGPI, 2010 base)

Bank of Japan. Research and Statistics Department. March, Outline of the Corporate Goods Price Index (CGPI, 2010 base) Bank of Japan Research and Sascs Deparmen Oulne of he Corporae Goods Prce Index (CGPI, 2010 base) March, 2015 1. Purpose and Applcaon The Corporae Goods Prce Index (CGPI) measures he prce developmens of

More information

Determinants of firm exchange rate predictions:

Determinants of firm exchange rate predictions: CESSA WP 208-0 Deermnans of frm exchange rae predcons: Emprcal evdence from survey daa of Japanese frms Th-Ngoc Anh NGUYEN Yokohama Naonal Unversy Japan Socey for he Promoon of Scence May 208 Cener for

More information

Economics of taxation

Economics of taxation Economcs of axaon Lecure 3: Opmal axaon heores Salane (2003) Opmal axes The opmal ax sysem mnmzes he excess burden wh a gven amoun whch he governmen wans o rase hrough axaon. Opmal axes maxmze socal welfare,

More information

Return Calculation Methodology

Return Calculation Methodology Reurn Calculaon Mehodology Conens 1. Inroducon... 1 2. Local Reurns... 2 2.1. Examle... 2 3. Reurn n GBP... 3 3.1. Examle... 3 4. Hedged o GBP reurn... 4 4.1. Examle... 4 5. Cororae Acon Facors... 5 5.1.

More information

THE APPLICATION OF REGRESSION ANALYSIS IN TESTING UNCOVERED INTEREST RATE PARITY

THE APPLICATION OF REGRESSION ANALYSIS IN TESTING UNCOVERED INTEREST RATE PARITY QUANTITATIVE METHOD IN ECONOMIC Vol. XIV, No., 03, pp. 3 4 THE APPLICATION OF REGREION ANALYI IN TETING UNCOVERED INTERET RATE PARITY Joanna Kselńsa, Kaarzyna Czech Faculy of Economcs cences Warsaw Unversy

More information

Conditional Skewness of Aggregate Market Returns

Conditional Skewness of Aggregate Market Returns Condonal Skewness of Aggregae Marke Reurns Anchada Charoenrook and Hazem Daouk + March 004 Ths verson: May 008 Absrac: The skewness of he condonal reurn dsrbuon plays a sgnfcan role n fnancal heory and

More information

MACROECONOMIC CONDITIONS AND INCOME DISTRIBUTION IN VENEZUELA:

MACROECONOMIC CONDITIONS AND INCOME DISTRIBUTION IN VENEZUELA: MACROECONOMIC CONDITIONS AND INCOME DISTRIBUTION IN VENEZUELA: 197-199 Raul J. Crespo* January, 2004 *Conac: Economcs Deparmen, Unversy of Brsol, 8 Woodland Road, Brsol, BS8 1TN, Uned Kngdom. Tel.: + 44

More information

Online appendices from Counterparty Risk and Credit Value Adjustment a continuing challenge for global financial markets by Jon Gregory

Online appendices from Counterparty Risk and Credit Value Adjustment a continuing challenge for global financial markets by Jon Gregory Onlne appendces fro Counerpary sk and Cred alue Adusen a connung challenge for global fnancal arkes by Jon Gregory APPNDX A: Dervng he sandard CA forula We wsh o fnd an expresson for he rsky value of a

More information

Lab 10 OLS Regressions II

Lab 10 OLS Regressions II Lab 10 OLS Regressons II Ths lab wll cover how o perform a smple OLS regresson usng dfferen funconal forms. LAB 10 QUICK VIEW Non-lnear relaonshps beween varables nclude: o Log-Ln: o Ln-Log: o Log-Log:

More information

Factors affecting stock market performance with special reference to market-to-book ratio in banking - the Israeli case

Factors affecting stock market performance with special reference to market-to-book ratio in banking - the Israeli case Facors affecng sock marke performance wh specal reference o marke-o-book rao n bankng - he Israel case AUTHORS ARTICLE INFO JOURNAL FOUNDER Davd Ruhenberg Shaul Pearl Yoram Landskroner Davd Ruhenberg,

More information

STOCK PRICES TEHNICAL ANALYSIS

STOCK PRICES TEHNICAL ANALYSIS STOCK PRICES TEHNICAL ANALYSIS Josp Arnerć, Elza Jurun, Snježana Pvac Unversy of Spl, Faculy of Economcs Mace hrvaske 3 2 Spl, Croaa jarnerc@efs.hr, elza@efs.hr, spvac@efs.hr Absrac Ths paper esablshes

More information

Cointegration between Fama-French Factors

Cointegration between Fama-French Factors 1 Conegraon beween Fama-French Facors Absrac Conegraon has many applcaons n fnance and oher felds of scence researchng me seres and her nerdependences. The analyss s a useful mehod o analyse non-conegraon

More information

Tax-Induced Excess Trading Behaviors on ADR Ex- Dividend Days

Tax-Induced Excess Trading Behaviors on ADR Ex- Dividend Days Managemen Revew: An Inernaonal Journal Volume 5 Number 1 Summer 2010 Tax-Induced Excess Tradng Behavors on ADR Ex- Dvdend Days B-Hue Tsa Deparmen of Managemen Scence Naonal Chao Tung Unversy Hsnchu 300,

More information

Quarterly Accounting Earnings Forecasting: A Grey Group Model Approach

Quarterly Accounting Earnings Forecasting: A Grey Group Model Approach Quarerly Accounng Earnngs Forecasng: A Grey Group Model Approach Zheng-Ln Chen Deparmen of Accounng Zhongnan Unversy of Economcs and Law # Souh Nanhu Road, Wuhan Cy, 430073 Hube People's Republc of Chna

More information

ESSAYS ON MONETARY POLICY AND INTERNATIONAL TRADE. A Dissertation HUI-CHU CHIANG

ESSAYS ON MONETARY POLICY AND INTERNATIONAL TRADE. A Dissertation HUI-CHU CHIANG ESSAYS ON MONETARY POLICY AND INTERNATIONAL TRADE A Dsseraon by HUI-CHU CHIANG Submed o he Offce of Graduae Sudes of Texas A&M Unversy n paral fulfllmen of he requremens for he degree of DOCTOR OF PHILOSOPHY

More information

Improving Earnings per Share: An Illusory Motive in Stock Repurchases

Improving Earnings per Share: An Illusory Motive in Stock Repurchases Inernaonal Journal of Busness and Economcs, 2009, Vol. 8, No. 3, 243-247 Improvng Earnngs per Share: An Illusory Move n Sock Repurchases Jong-Shn We Deparmen of Inernaonal Busness Admnsraon, Wenzao Ursulne

More information

Terms and conditions for the MXN Peso / US Dollar Futures Contract (Physically Delivered)

Terms and conditions for the MXN Peso / US Dollar Futures Contract (Physically Delivered) The Englsh verson of he Terms and Condons for Fuures Conracs s publshed for nformaon purposes only and does no consue legal advce. However, n case of any Inerpreaon conroversy, he Spansh verson shall preval.

More information

Network Security Risk Assessment Based on Node Correlation

Network Security Risk Assessment Based on Node Correlation Journal of Physcs: Conference Seres PAPER OPE ACCESS ewor Secury Rs Assessmen Based on ode Correlaon To ce hs arcle: Zengguang Wang e al 2018 J. Phys.: Conf. Ser. 1069 012073 Vew he arcle onlne for updaes

More information

Agricultural and Rural Finance Markets in Transition

Agricultural and Rural Finance Markets in Transition Agrculural and Rural Fnance Markes n Transon Proceedngs of Regonal Research Commee NC-04 S. Lous, Mssour Ocober 4-5, 007 Dr. Mchael A. Gunderson, Edor January 008 Food and Resource Economcs Unversy of

More information

Optimal Combination of Trading Rules Using Neural Networks

Optimal Combination of Trading Rules Using Neural Networks Vol. 2, No. Inernaonal Busness Research Opmal Combnaon of Tradng Rules Usng Neural Neworks Subraa Kumar Mra Professor, Insue of Managemen Technology 35 Km Mlesone, Kaol Road Nagpur 44 502, Inda Tel: 9-72-280-5000

More information

Title: Usefulness of accounting information in firm valuation. Author(/s): González Sánchez, Mariano and Nave Pineda, Juan M. Date: October-2018

Title: Usefulness of accounting information in firm valuation. Author(/s): González Sánchez, Mariano and Nave Pineda, Juan M. Date: October-2018 Tle: Usefulness of accounng nformaon n frm valuaon Auhor(/s): González Sánchez Marano and Nave Pneda Juan M. Dae: Ocober-208 WORKING PAPER SERIES: /208 CÁTEDRA CEU-MM Madrd (Span) ISSN onlne: 2530 0237

More information

Speed of convergence to market efficiency for NYSE-listed foreign stocks. Nuttawat Visaltanachoti a, Ting Yang b,*

Speed of convergence to market efficiency for NYSE-listed foreign stocks. Nuttawat Visaltanachoti a, Ting Yang b,* Speed of convergence o marke effcency for NYSE-lsed foregn socks Nuawa Vsalanacho a, Tng Yang b,* a Deparmen of Commerce, Massey Unversy, Prvae Bag 1294, Auckland, New Zealand b Deparmen of Fnance, Auckland

More information

Methodology of the CBOE S&P 500 PutWrite Index (PUT SM ) (with supplemental information regarding the CBOE S&P 500 PutWrite T-W Index (PWT SM ))

Methodology of the CBOE S&P 500 PutWrite Index (PUT SM ) (with supplemental information regarding the CBOE S&P 500 PutWrite T-W Index (PWT SM )) ehodology of he CBOE S&P 500 PuWre Index (PUT S ) (wh supplemenal nformaon regardng he CBOE S&P 500 PuWre T-W Index (PWT S )) The CBOE S&P 500 PuWre Index (cker symbol PUT ) racks he value of a passve

More information

Do Analyst Earnings Beta Explain Growth Anomaly?

Do Analyst Earnings Beta Explain Growth Anomaly? Sngapore Managemen Unversy Insuonal Knowledge a Sngapore Managemen Unversy Dsseraons and Theses Collecon (Open Access Dsseraons and Theses 2 Do Analys Earnngs Bea Explan Growh Anomaly? Phuong Thanh Sophe

More information

The Selection Ability of Italian Mutual Fund. By Valter Lazzari and Marco Navone

The Selection Ability of Italian Mutual Fund. By Valter Lazzari and Marco Navone The Selecon Ably of Ialan Muual Fund By Valer Lazzar and Marco Navone Workng Paper N. 1/3 Ocober 23 THE SELECTION ABILITY OF ITALIAN MUTUAL FUND MANAGERS By Valer Lazzar Professor of Bankng and Fnance

More information

Recen Emprcal Leraure Sur vey Over he pas few decades, a large amoun of research has been devoed n sudyng he aggregae demand for mpors n developed, de

Recen Emprcal Leraure Sur vey Over he pas few decades, a large amoun of research has been devoed n sudyng he aggregae demand for mpors n developed, de An Aggregae Impor Demand Funcon: An Emprcal Invesgaon by Panel Daa for Lan Amercan and Carbbean Counres Ilhan Ozurk * and Al Acaravc ** Ths paper esmaes he aggregae mpor demand funcon for Lan Amercan and

More information

Socially Responsible Investments: An International Empirical Study

Socially Responsible Investments: An International Empirical Study Workng Paper n : 24-53-3 Socally Responsble Invesmens: An Inernaonal Emprcal Sudy Hachm Ben Ameur a,, Jérôme Senanedsch b a INSEEC Busness School, 27 avenue Claude Vellefaux 75 Pars, France b INSEEC Busness

More information

FITTING EXPONENTIAL MODELS TO DATA Supplement to Unit 9C MATH Q(t) = Q 0 (1 + r) t. Q(t) = Q 0 a t,

FITTING EXPONENTIAL MODELS TO DATA Supplement to Unit 9C MATH Q(t) = Q 0 (1 + r) t. Q(t) = Q 0 a t, FITTING EXPONENTIAL MODELS TO DATA Supplemen o Un 9C MATH 01 In he handou we wll learn how o fnd an exponenal model for daa ha s gven and use o make predcons. We wll also revew how o calculae he SSE and

More information

Recall from last time. The Plan for Today. INTEREST RATES JUNE 22 nd, J u n e 2 2, Different Types of Credit Instruments

Recall from last time. The Plan for Today. INTEREST RATES JUNE 22 nd, J u n e 2 2, Different Types of Credit Instruments Reall from las me INTEREST RATES JUNE 22 nd, 2009 Lauren Heller Eon 423, Fnanal Markes Smple Loan rnpal and an neres paymen s pad a maury Fxed-aymen Loan Equal monhly paymens for a fxed number of years

More information

The Macrotheme Review A multidisciplinary journal of global macro trends

The Macrotheme Review A multidisciplinary journal of global macro trends Sang oon Kang and Seong-Mn Yoon, The Macroheme Revew 7(1), Sprng 2018 The Macroheme Revew A muldscplnary ournal of global macro rends Who s a recpen or ransmer n he CDS markes Sang oon Kang and Seong-Mn

More information

HOW RELATIVE PRICE VARIABILITY IS RELATED TO UNANTICIPATED INFLATION AND REAL INCOME?

HOW RELATIVE PRICE VARIABILITY IS RELATED TO UNANTICIPATED INFLATION AND REAL INCOME? 45 Paksan Economc and Socal Revew Volume 5, No. 1 (Summer 014), pp. 45-58 HOW RELATIVE PRICE VARIABILITY IS RELATED TO UNANTICIPATED INFLATION AND REAL INCOME? SAGHIR PERVAIZ GHAURI, ABDUL QAYYUM and MUHAMMAD

More information

Convertible Bonds and Stock Liquidity. Author. Published. Journal Title DOI. Copyright Statement. Downloaded from. Griffith Research Online

Convertible Bonds and Stock Liquidity. Author. Published. Journal Title DOI. Copyright Statement. Downloaded from. Griffith Research Online Converble Bonds and Sock Lqudy Auhor Wes, Jason Publshed 2012 Journal Tle Asa-Pacfc Fnancal Markes DOI hps://do.org/10.1007/s10690-011-9139-3 Copyrgh Saemen 2011 Sprnger Japan. Ths s an elecronc verson

More information

Time-Varying Correlations Between Credit Risks and Determinant Factors

Time-Varying Correlations Between Credit Risks and Determinant Factors me-varyng Correlaons Beween Cred Rsks and Deermnan Facors Frs & Correspondng Auhor: Ju-Jane Chang Asssan Professor n he Deparmen of Fnancal Engneerng and Acuaral Mahemacs, Soochow Unversy, awan 56, Sec.

More information

Lien Bui Mean Reversion in International Stock Price Indices. An Error-Correction Approach. MSc Thesis

Lien Bui Mean Reversion in International Stock Price Indices. An Error-Correction Approach. MSc Thesis Len Bu Mean Reverson n Inernaonal Sock Prce Indces An Error-Correcon Approach MSc Thess 2011-021 Urech Unversy Urech School of Economcs MEAN REVERSION IN INTERNATIONAL STOCK PRICE INDICES AN ERROR-CORRECTION

More information

Turn-of-the-month and Intramonth Anomalies and U.S. Macroeconomic News Announcements on the Thinly Traded Finnish Stock Market

Turn-of-the-month and Intramonth Anomalies and U.S. Macroeconomic News Announcements on the Thinly Traded Finnish Stock Market Inernaonal Journal of Economcs and Fnance Augus, 200 Turn-of-he-monh and Inramonh Anomales and U.S. Macroeconomc News Announcemens on he Thnly Traded Fnnsh Sock Marke Juss Nkknen Deparmen of Accounng and

More information

1%(5:25.,1*3$3(56(5,(6 7+(9$/8(635($' 5DQGROSK%&RKHQ &KULVWRSKHU3RON 7XRPR9XROWHHQDKR :RUNLQJ3DSHU KWWSZZZQEHURUJSDSHUVZ

1%(5:25.,1*3$3(56(5,(6 7+(9$/8(635($' 5DQGROSK%&RKHQ &KULVWRSKHU3RON 7XRPR9XROWHHQDKR :RUNLQJ3DSHU KWWSZZZQEHURUJSDSHUVZ 1%(5:25.,1*3$3(56(5,(6 7+(9$/8(635($' 5DQGROSK%&RKHQ &KULVWRSKHU3RON 7XRPR9XROWHHQDKR :RUNLQJ3DSHU KWWSZZZQEHURUJSDSHUVZ 1$7,21$/%85($82)(&212,&5(6($5&+ DVVD KXVHWWV$YHQXH &DPEULGJH$ $SULO &RUUHVSRQGHQ

More information

Output growth, inflation and interest rate on stock return and volatility: the predictive power

Output growth, inflation and interest rate on stock return and volatility: the predictive power Oupu growh, nflaon and neres rae on soc reurn and volaly: he predcve power Wa Chng POON* and Gee Ko TONG** * School of Busness, Monash Unversy Sunway Campus, Jalan Lagoon Selaan, 46150 Bandar Sunway, Selangor,

More information

THE IMPACT OF COMMODITY DERIVATIVES IN AGRICULTURAL FUTURES MARKETS

THE IMPACT OF COMMODITY DERIVATIVES IN AGRICULTURAL FUTURES MARKETS Alghero, 25-27 June 20 Feedng he Plane and Greenng Agrculure: Challenges and opporunes for he bo-econom THE IMPACT OF COMMODITY DERIVATIVES IN AGRICULTURAL FUTURES MARKETS Zupprol M., Dona M., Verga G.,

More information

A valuation model of credit-rating linked coupon bond based on a structural model

A valuation model of credit-rating linked coupon bond based on a structural model Compuaonal Fnance and s Applcaons II 247 A valuaon model of cred-rang lnked coupon bond based on a srucural model K. Yahag & K. Myazak The Unversy of Elecro-Communcaons, Japan Absrac A cred-lnked coupon

More information

Are Taxes Capitalized in Bond Prices? Evidence from the Market for Government of Canada Bonds* Stuart Landon **

Are Taxes Capitalized in Bond Prices? Evidence from the Market for Government of Canada Bonds* Stuart Landon ** PRELIINARY DRAFT Are Taxes Capalzed n Bond Prces? Evdence from he arke for Governmen of Canada Bonds* Suar Landon ** Deparmen of Economcs Unversy of Albera Edmonon, Albera Canada T6G 2H4 14 ay 2008 Absrac

More information

Gaining From Your Own Default

Gaining From Your Own Default Ganng From Your Own Defaul Jon Gregory jon@ofranng.com Jon Gregory (jon@ofranng.com), Quan ongress US, 14 h July 2010 page 1 Regulaon s Easy () Wha don lke as a regulaor? Dfferen nsuons valung asses dfferenly

More information

Boğaziçi University Department of Economics Money, Banking and Financial Institutions L.Yıldıran

Boğaziçi University Department of Economics Money, Banking and Financial Institutions L.Yıldıran Chaper 3 INTEREST RATES Boğazç Unversy Deparmen of Economcs Money, Bankng and Fnancal Insuons L.Yıldıran Sylzed Fac abou Ineres Raes: Ineres raes Expanson Recesson Ineres raes affec economc acvy by changng

More information

Scholarship Project Paper 02/2012

Scholarship Project Paper 02/2012 Scholarshp Proec Paper 02/2012 HE DEERMINANS OF CREDI SPREAD CHANGES OF INVESMEN GRADE CORPORAE BONDS IN HAILAND BEWEEN JUNE 2006 AND FEBRUARY 2012: AN APPLICAION OF HE REGIME SWICHING MODEL reerapo Kongorann

More information

Normal Random Variable and its discriminant functions

Normal Random Variable and its discriminant functions Normal Random Varable and s dscrmnan funcons Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped sngle prooype

More information

Working Paper. WP No 559 May, 2004 SOURCES OF GAINS FROM INTERNATIONAL PORTFOLIO DIVERSIFICATION. José Manuel Campa* Nuno Fernandes**

Working Paper. WP No 559 May, 2004 SOURCES OF GAINS FROM INTERNATIONAL PORTFOLIO DIVERSIFICATION. José Manuel Campa* Nuno Fernandes** CIIF Worng Paper WP No 559 May, 2004 SOURCES OF GAINS FROM INTERNATIONAL PORTFOLIO DIVERSIFICATION José Manuel Campa* Nuno Fernandes** * Professor of Fnancal Managemen, Grupo Sanander Char n Fnancal Insuons,

More information

Ground Rules. FTSE US Risk Premium Index Series v1.6

Ground Rules. FTSE US Risk Premium Index Series v1.6 Ground Rules FTSE US Rsk Premum Index Seres v1.6 fserussell.com January 2018 Conens 1.0 Inroducon... 3 2.0 Managemen Responsbles... 4 3.0 FTSE Russell Index Polces... 5 4.0 Elgble Secures... 7 5.0 Facor

More information

MORNING SESSION. Date: Wednesday, May 4, 2016 Time: 8:30 a.m. 11:45 a.m. INSTRUCTIONS TO CANDIDATES

MORNING SESSION. Date: Wednesday, May 4, 2016 Time: 8:30 a.m. 11:45 a.m. INSTRUCTIONS TO CANDIDATES SOCIETY OF ACTUARIES Exam QFICORE MORNING SESSION Dae: Wednesday, May 4, 016 Tme: 8:30 a.m. 11:45 a.m. INSTRUCTIONS TO CANDIDATES General Insrucons 1. Ths examnaon has a oal of 100 pons. I consss of a

More information

Cash Flow, Currency Risk, and the Cost of Capital

Cash Flow, Currency Risk, and the Cost of Capital Cash Flow, Currency Rsk, and he Cos of Capal Workng Paper Seres 11-12 Ocober 2011 Dng Du Norhern Arzona Unversy The W. A. Franke College of Busness PO Box 15066 Flagsaff, AZ 86011.5066 dng.du@nau.edu (928)

More information

Estimating intrinsic currency values

Estimating intrinsic currency values Esmang nrnsc currency values Forex marke praconers consanly alk abou he srenghenng or weakenng of ndvdual currences. In hs arcle, Jan Chen and Paul Dous presen a new mehodology o quanfy hese saemens n

More information

Estimation of Optimal Tax Level on Pesticides Use and its

Estimation of Optimal Tax Level on Pesticides Use and its 64 Bulgaran Journal of Agrculural Scence, 8 (No 5 0, 64-650 Agrculural Academy Esmaon of Opmal Ta Level on Pescdes Use and s Impac on Agrculure N. Ivanova,. Soyanova and P. Mshev Unversy of Naonal and

More information

Stock Market Declines and Liquidity* Allaudeen Hameed. Wenjin Kang. and. S. Viswanathan. This Version: November 12, 2006

Stock Market Declines and Liquidity* Allaudeen Hameed. Wenjin Kang. and. S. Viswanathan. This Version: November 12, 2006 Sock Marke eclnes and Lqudy* Allaudeen Hameed Wenjn Kang and S. Vswanahan Ths Verson: November 12, 2006 * Hameed and Kang are from he eparmen of Fnance and Accounng, Naonal Unversy of Sngapore, Sngapore

More information

Internal Control Quality and Underinvestment under the Perspective of Corporate Life Cycle

Internal Control Quality and Underinvestment under the Perspective of Corporate Life Cycle Inernaonal Journal of Economcs and Fnance; Vol. 8, No. 6; 2016 ISSN 1916-971X E-ISSN 1916-9728 Publshed by Canadan Cener of Scence and Educaon Inernal Conrol Qualy and Undernvesmen under he Perspecve of

More information

DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS

DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS ISSN 440-77X AUSTRALIA DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS Assocaon beween Markov regme-swchng marke volaly and bea rsk: Evdence from Dow Jones ndusral secures Don U.A. Galagedera and Roland

More information

Deriving Reservoir Operating Rules via Fuzzy Regression and ANFIS

Deriving Reservoir Operating Rules via Fuzzy Regression and ANFIS Dervng Reservor Operang Rules va Fuzzy Regresson and ANFIS S. J. Mousav K. Ponnambalam and F. Karray Deparmen of Cvl Engneerng Deparmen of Sysems Desgn Engneerng Unversy of Scence and Technology Unversy

More information

Impact of Stock Markets on Economic Growth: A Cross Country Analysis

Impact of Stock Markets on Economic Growth: A Cross Country Analysis Impac of Sock Markes on Economc Growh: A Cross Counry Analyss By Muhammad Jaml Imporance of sock markes for poolng fnancal resources ncreased snce he las wo decades. Presen sudy analyzed mpac of sock markes

More information

Holdings-based Fund Performance Measures: Estimation and Inference 1

Holdings-based Fund Performance Measures: Estimation and Inference 1 1 Holdngs-based Fund Performance Measures: Esmaon and Inference 1 Wayne E. Ferson Unversy of Souhern Calforna and NBER Junbo L. Wang Lousana Sae Unversy Aprl 14, 2018 Absrac Ths paper nroduces a panel

More information

A Framework for Large Scale Use of Scanner Data in the Dutch CPI

A Framework for Large Scale Use of Scanner Data in the Dutch CPI A Framework for Large Scale Use of Scanner Daa n he Duch CPI Jan de Haan Sascs Neherlands and Delf Unversy of Technology Oawa Group, 2-22 May 215 The basc dea Ideally, o make he producon process as effcen

More information

Estimating Stock Returns Volatility of Khartoum Stock Exchange through GARCH Models

Estimating Stock Returns Volatility of Khartoum Stock Exchange through GARCH Models Esmang Sock Reurns Volaly of Kharoum Sock Exchange hrough GARCH Models Sharaf Obad Al, Abdalla Sulman Mhmoud. College of Compuer Scence, Alzaem alazhar Unversy, Sudan Deparmen of Mahemacs, College of Scences,

More information

Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries

Price and Volatility Spillovers between Stock Prices and Exchange Rates: Empirical Evidence from the G-7 Countries Inernaonal Journal of Busness and Economcs, 2004, Vol. 3, No. 2, 139-153 Prce and Volaly Spllovers beween Sock Prces and Exchange Raes: Emprcal Evdence from he G-7 Counres Sheng-Yung Yang * Deparmen of

More information

Prediction of Oil Demand Based on Time Series Decomposition Method Nan MA * and Yong LIU

Prediction of Oil Demand Based on Time Series Decomposition Method Nan MA * and Yong LIU 2017 2nd Inernaonal Conference on Sofware, Mulmeda and Communcaon Engneerng (SMCE 2017) ISBN: 978-1-60595-458-5 Predcon of Ol Demand Based on Tme Seres Decomposon Mehod Nan MA * and Yong LIU College of

More information

DYNAMIC ECONOMETRIC MODELS Vol. 8 Nicolaus Copernicus University Toruń 2008

DYNAMIC ECONOMETRIC MODELS Vol. 8 Nicolaus Copernicus University Toruń 2008 DYNAMIC ECONOMETRIC MODELS Vol. 8 Ncolaus Coperncus Unversy Toruń 2008 Por Fszeder Ncolaus Coperncus Unversy n Toruń Julusz Preś Szczecn Unversy of Technology Prcng of Weaher Opons for Berln Quoed on he

More information

Financial Stability Institute

Financial Stability Institute Fnancal Sably Insue FSI Award 21 Wnnng Paper Regulaory use of sysem-wde esmaons of PD, LGD and EAD Jesus Alan Elzondo Flores Tana Lemus Basualdo Ana Regna Qunana Sordo Comsón Naconal Bancara y de Valores,

More information

A Study of Market-Wide Short-Selling Restrictions 1

A Study of Market-Wide Short-Selling Restrictions 1 ` A Sudy of Marke-Wde Shor-Sellng Resrcons Anchada Charoenrook and Hazem Daouk + Absrac: Ths paper provdes emprcal evdence relevan o he ongong debae abou wheher shor sales should be allowed. We examne

More information

The Asymmetric Effects of Government Spending Shocks: Empirical Evidence from Turkey

The Asymmetric Effects of Government Spending Shocks: Empirical Evidence from Turkey Journal of Economc and Socal Research 6 (), 33-5 The Asymmerc Effecs of Governmen Spendng Shocks: Emprcal Evdence from Turkey Hakan Berumen & Burak oğan Absrac. The purpose of hs paper s o assess f expansonary

More information

Fugit (options) The terminology of fugit refers to the risk neutral expected time to exercise an

Fugit (options) The terminology of fugit refers to the risk neutral expected time to exercise an Fug (opons) INTRODUCTION The ermnology of fug refers o he rsk neural expeced me o exercse an Amercan opon. Invened by Mark Garman whle professor a Berkeley n he conex of a bnomal ree for Amercan opon hs

More information

CAN PRODUCTIVITY INCREASES IN THE DISTRIBUTION SECTOR HELP EXPLAIN TENDENCY OF THE TURKISH LIRA TO APPRECIATE? Çukurova University, Turkey

CAN PRODUCTIVITY INCREASES IN THE DISTRIBUTION SECTOR HELP EXPLAIN TENDENCY OF THE TURKISH LIRA TO APPRECIATE? Çukurova University, Turkey Topcs n Mddle Easern and Afrcan Economes CAN PRODUCTIVITY INCREASES IN THE DISTRIBUTION SECTOR HELP EXPLAIN TENDENCY OF THE TURKISH LIRA TO APPRECIATE? Fkre DÜLGER 1, Kenan LOPCU 2, Almıla BURGAÇ 3 Çukurova

More information

McKinnon s Complementarity Hypothesis: Empirical Evidence for the Arab Maghrebean Countries

McKinnon s Complementarity Hypothesis: Empirical Evidence for the Arab Maghrebean Countries 23 The Romanan Economc Journal cknnon s Complemenary Hypohess: Emprcal Evdence for he Arab aghrebean Counres Amara Bouzd Ths sudy ams o verfy he fnancal represson heory s assumpons for he Arabc aghrebean

More information

Interest Rate Derivatives: More Advanced Models. Chapter 24. The Two-Factor Hull-White Model (Equation 24.1, page 571) Analytic Results

Interest Rate Derivatives: More Advanced Models. Chapter 24. The Two-Factor Hull-White Model (Equation 24.1, page 571) Analytic Results Ineres Rae Dervaves: More Advanced s Chaper 4 4. The Two-Facor Hull-Whe (Equaon 4., page 57) [ θ() ] σ 4. dx = u ax d dz du = bud σdz where x = f () r and he correlaon beween dz and dz s ρ The shor rae

More information

Business cycle, credit risk and economic capital determination by commercial banks

Business cycle, credit risk and economic capital determination by commercial banks Busness cycle, cred rsk and economc capal deermnaon by commercal banks Alexs Dervz and Narcsa Kadlčáková 1 Czech Naonal Bank 1. Inroducon Regular assessmens of he defaul rsk of bank clens and esmaons of

More information

Byeong-Je An, Andrew Ang, Turan Bali and Nusret Cakici The Joint Cross Section of Stocks and Options

Byeong-Je An, Andrew Ang, Turan Bali and Nusret Cakici The Joint Cross Section of Stocks and Options Byeong-Je An Andrew Ang Turan Bal and Nusre Cakc The Jon Cross Secon of Socks and Opons DP 10/2013-032 The Jon Cross Secon of Socks and Opons * Byeong-Je An Columba Unversy Andrew Ang Columba Unversy and

More information

Assessing Long-Term Fiscal Dynamics: Evidence from Greece and Belgium

Assessing Long-Term Fiscal Dynamics: Evidence from Greece and Belgium Inernaonal Revew of Busness Research Papers Vol. 7. No. 6. November 2011. Pp. 33-45 Assessng Long-Term Fscal Dynamcs: Evdence from Greece and Belgum JEL Codes: Ε62 and Η50 1. Inroducon Evangela Kasma 1,2

More information

Property of stocks and wealth effects on consumption

Property of stocks and wealth effects on consumption Propery of socks and wealh effecs on consumpon RICARDO M. SOUSA Unversy of Mnho Deparmen of Economcs Campus of Gualar, 470-057 - BRAGA PORTUGAL E-mal: rjsousa@eeg.umnho.p March 2003 Absrac Recen flucuaons

More information

Using Fuzzy-Delphi Technique to Determine the Concession Period in BOT Projects

Using Fuzzy-Delphi Technique to Determine the Concession Period in BOT Projects Usng Fuzzy-Delph Technque o Deermne he Concesson Perod n BOT Projecs Khanzad Mosafa Iran Unversy of Scence and Technology School of cvl engneerng Tehran, Iran. P.O. Box: 6765-63 khanzad@us.ac.r Nasrzadeh

More information

Liquidity, Inflation and Asset Prices in a Time-Varying Framework for the Euro Area

Liquidity, Inflation and Asset Prices in a Time-Varying Framework for the Euro Area Lqudy, Inflaon and Asse Prces n a Tme-Varyng Framework for he Euro Area Chrsane Baumeser Evelne Durnck Ger Peersman Ghen Unversy Movaon One pllar of ECB polcy sraegy: money aggregaes as an ndcaor of rsks

More information

Michał Kolupa, Zbigniew Śleszyński SOME REMARKS ON COINCIDENCE OF AN ECONOMETRIC MODEL

Michał Kolupa, Zbigniew Śleszyński SOME REMARKS ON COINCIDENCE OF AN ECONOMETRIC MODEL M I S C E L L A N E A Mchał Kolupa, bgnew Śleszyńsk SOME EMAKS ON COINCIDENCE OF AN ECONOMETIC MODEL Absrac In hs paper concep of concdence of varable and mehods for checkng concdence of model and varables

More information

Exchange Rate Pass-Through to Manufactured Import Prices: The Case of Japan

Exchange Rate Pass-Through to Manufactured Import Prices: The Case of Japan Exchange Rae Pass-Through o Manufacured Impor Prces: The Case of Japan Gunerane Wckremasnghe and Param Slvapulle Deparmen of Economercs and Busness Sascs Monash Unversy Caulfeld Vcora, 3145 AUSTRALIA Absrac

More information

Alternative methods to derive statistical distribution of Sharpe performance measure: Review, comparison, and extension

Alternative methods to derive statistical distribution of Sharpe performance measure: Review, comparison, and extension Alernave mehods o derve sascal dsrbuon of Sharpe performance measure: evew, comparson, and exenson Le-Jane Kao Deparmen of Fnance and Bankng, KaNan Unversy, aoyuan,awan Cheng-Few Lee Deparmen of Fnance

More information

Does Product Market Competition Improve the Quality of Information Disclosure of Listed Companies? Empirical Evidence Based on China A-Share Market

Does Product Market Competition Improve the Quality of Information Disclosure of Listed Companies? Empirical Evidence Based on China A-Share Market 2017 4h Inernaonal Conference on Modern Economc Technology and Managemen (ICMETM 2017) ISBN: 978-1-60595-547-6 Does Produc Marke Compeon Improve he Qualy of Informaon Dsclosure of Lsed Companes? Emprcal

More information

Exchange Rate Shocks in Small Export-Oriented Economies: A Cross-Country Industry Competitive Analysis

Exchange Rate Shocks in Small Export-Oriented Economies: A Cross-Country Industry Competitive Analysis Exchange ae Shocks n Small Expor-Orened Economes: A Cross-Counry Indusry Compeve Analyss Anand B. S. Gula Hanken School of Economcs, Deparmen of Fnance and Sascs, Handelsesplanaden 2, FI-65101 Vaasa, Fnland.

More information

ORE Open Research Exeter

ORE Open Research Exeter ORE Open Research Exeer TITLE vdend valuaon radng and ransacons coss: he 997 paral abolon of dvdend ax cred repaymens AUTHORS Holland Kevn; Hodgknson Lynn; Jackson Rchard H.G. JOURNAL Accounng and Busness

More information

INFORMATION FLOWS DURING THE ASIAN CRISIS: EVIDENCE FROM CLOSED-END FUNDS

INFORMATION FLOWS DURING THE ASIAN CRISIS: EVIDENCE FROM CLOSED-END FUNDS BIS WORKING PAPERS No 97 December 2 INFORMATION FLOWS DURING THE ASIAN CRISIS: EVIDENCE FROM CLOSED-END FUNDS by Benjamn H Cohen and El M Remolona BANK FOR INTERNATIONAL SETTLEMENTS Moneary and Economc

More information

Comparison of Statistical Arbitrage in Developed and Emerging Markets

Comparison of Statistical Arbitrage in Developed and Emerging Markets Inernaonal Journal of Trade, Economcs and Fnance, Vol. 8, No. 2, Aprl 2017 Comparson of Sascal Arbrage n Developed and Emergng Markes Gabrel Vsage and Alwyn Hoffman Absrac Sascal arbrage covers a varey

More information