New hedging techniques in energy sector using barrier options

Size: px
Start display at page:

Download "New hedging techniques in energy sector using barrier options"

Transcription

1 New hedging echniques in energy secor using barrier opions Monika Harčariková 1 and Michal Šolés 2 he paper is focused on he measuremen of hedging efficiency using he New 4 opion sraegy creaed by barrier opions. We aim o find he way of he risk managemen agains an underlying asse s price drop. European down and knock-in pu opions are used wih he combinaions of vanilla call and barrier call opions, where he zero-cos opion sraegy has o be me. Based on analysed hedging echniques, he imum consan selling price is secured for he case of he underlying asse s price drop. Our heoreical resuls of hedging are applied in he energy secor, i.e. Energy Selec Secor SPDR EF. All hedging echniques are analysed and compared o each oher, bu only seleced varians are presened in he paper. he findings show ha he using of barrier opions on he hedging produces very significan reducions in risk. Finally, here is necessary o develop an effecive hedging sraegy, where he srucure of he srike prices and he barrier levels plays an imporan role. According o he findings, he recommendaions of he bes ways are inroduced for poenial invesors. Keywords: hedging echnique, barrier opion, opion sraegy, Energy Selec Secor SPDR EF Inroducion Financial marke prices, mainly sock prices, commodiy prices, foreign exchanges and oher invesmen asses, have shown sriking changes in volailiy hrough ime. Each of hese kinds of he underlying asses price shows enormous unpredicable movemens from day o day or monh o monh. Due o his fac, he firms or business leaders wan o use effecive hedging sraegies, in order o avoid he disrupive consequences of heir invesmens. Financial derivaives are an ineresing opporuniy o proec agains marke risks. Mainly barrier opions inroduce effecive and flexible ools used in he risk managemen. Over he years, many financial sudies are dealing wih he risk managemen using financial derivaives. Many sudies deal wih he solving problem in he risk managemen. Brown (2001), Guay and Kohari (2003) sudy he managing of risk hrough derivaives. Hankins (2011) invesigae how he firms manage risk by exaing he ineracions beween financial and operaional hedging. Loss (2012) presens he opimal hedging sraegies, and ichý (2009) focuses on currency hedging of he nonfinancial insiuion. o our bes knowledge, our risk managemen using barrier opions appears o be unique in his field. Hence, comparing he various risk managemen varians using New 4 opion sraegy creaed by barrier opions fills a noiceable gap in his opic. Our heoreical resuls will be useful no only for financial insiuions bu also for academic and research communiy. Hedging aims o reduce any subsanial losses from he operaions in fuure, where i is possible o hedge he values of energy, precious meals, foreign currency, and ineres rae flucuaions. I is valid ha he loss in spo marke posiion is compensaed by he gain in fuures marke posiion and vice versa. In our case, hedger inends o sell an underlying asse in fuure and wishes o eliae he downside risk. he purpose of he paper is o hedge agains price drop using New 4 opion sraegy. We do no avoid a price drop, bu we wan o secure only he imum accepable selling price. he mehodology of he paper is based on opion sraegies, inroduced in he papers such as Hull (2012) and aleb (1997). Mainly barrier opions inroduce a new ool in he risk managemen. hese ools are paricularly aracive o hedgers in he financial marke. In essence, here are four ypes of barrier opions, i.e. UI, UO, DI, DO call/pu opions. Where he righ o exercise eiher appears (IN) or disappears (OU) on some barrier level. he barrier level can be se above (UP) or below (DOWN) he underlying asse price a he ime he opion is creaed. he barrier level mus be se above (for UP opions) and below (for DOWN opions) he acual spo price, because oherwise, he opions would be worhless. Barrier opions are generally cheaper han sandard opions due o he underlying asse has o cross a cerain barrier level. As we will see laer, DI pu opions wih he combinaions of vanilla/barrier call opions are he bes for hedging agains a price drop. More deailed characerisics of barrier opions are presened by ichý (2004) and Zhang (1998). In he paper, we discuss only European opions in any deail. However, he nex approach can be oriened on American opions. We aim o hedge he imum selling price for our porfolio hrough New 4 opion sraegy using barrier opions. here are 124 possibiliies creaion of his sraegy using barrier and vanilla opions in oal. For full 1 2 Monika Harčariková, echnical Universiy of Košice, Faculy of Economics, Deparmen of Finance, Němcovej 32, Košice, Slovakia, monika.harcarikova@uke.sk Michal Šolés, echnical Universiy of Košice, Faculy of Economics, Deparmen of Banking and Invesmen, Němcovej 32, Košice, Slovakia, michal.soles@uke.sk 386

2 proecion agains price drop, here have o be used DI pu opions wih he smalles srike price and oher ypes of opions. Our research shows ha 16 ypes using only barrier opions and 9 ypes using vanilla and barrier opions are suiable for our analysis. We have presened seleced hedging varians wih he bes resuls of he secured selling price because oher ways are secured only parially. he resuls of our approach are applied in he energy secor, specifically, Energy Selec Secor SPDR EF. I is a fund allocaed o oil gas and consumable fuels companies. However, his approach can be applied for various underlying asses. Based on individual componens of replicaing porfolio, he hedging echniques on hese shares are proposed and compared o each oher wih he unsecured posiion. In he end, he bes hedging echniques are presened in differen underlying asse s price developmen wih he recommendaions for poenial insiuions. Research mehodology Our approach is based on opion sraegies and heir using in risk managemen. he significan par of financial engineering are opions and opion sraegies. hese ools are also used on he new innovaive financial produc s creaion as i is proved by Hull (2012). herefore, he mehodology of he paper is based on hese ools by which he significan role plays a valuaion. Undersanding of he New 4 opion sraegy creaion is needed for is use in risk managemen. New 4 opion sraegy can be creaed in 3 ways. he firs way is creaed as he buying n pu opions wih a srike price X 1, he premium p 1N per opion, simulaneously by selling n pu opions wih a higher srike price X 2 he premium p 2S per opion and by buying n pu opions wih he highes srike price X 3 he premium p 3B per opion. he second way is similar o he previous one wih he same parameers bu is creaed by buying call opions and a he same ime by selling call opions and by buying pu opions. However, hese wo ways are no possible o creae wihou iniial coss. he las way fulfils he zero coss, which is creaed by buying n pu opions and a he same ime by selling n call opions and by buying n call opions, where he srike prices should be se as X 1 < X 2 < X 3. herefore, we will consider only wih his way for hedging. Also, European-syle of opions is used for he same underlying asse and wih he same expiraion ime. he New 4 opion sraegy using only sandard vanilla opions was designed by Šolés (2011). he New 1 opion sraegy formed by barrier opions and is using in risk managemen was discussed by Šolés and Harčariková (2015). Shor Call Ladder sraegy creaed by vanilla opions and is using on hedging is deal by Amaiiek e al. (2010). Also, Rusnáková and Šolés (2012), Rusnáková (2015), Šolés and Rusnáková, (2012; 2013) analyse he hedging agains a price increase or drop by means of differen opions sraegies using vanilla and barrier opions. According o he sudies menioned, we analyse all possible ways of New 4 opion sraegy creaion using barrier opions wih he aim o hedge agains a price drop. Valuaion he analysis consiss of all ways of New 4 opion sraegy creaion using barrier opions in risk managemen. here is possible o creae 124 ways of New 4 opion sraegies using barrier opions. However, only seleced varians are presened in his paper. Using DI pu opions wih he smalles srike price are suiable for full hedging agains a price drop. All combinaions of DI pu opions ogeher wih 2 various call/call barrier opions are analysed, i.e. 9 ways wih he vanilla opions and 16 ways only wih barrier opions. Choosing of secured varians have o mee he zero-cos condiions. Our heoreical resuls are applied o he Energy Selec Secor SPDR EF (XLE), where he evaluaion of he hedger s profiabiliy a he mauriy dae is presened. Based on comparaive analysis of he proposed hedging varians, he recommendaions for invesors are given. he approach is based on he value of European vanilla and barrier opions on he Energy Selec Secor SPDR EF wih he various srike prices and he barrier levels. Real vanilla opions are gained from European barrier opion prices are no publicly accessible. hen, we have o calculae barrier opion premiums. Auhors Black and Scholes (1973) inroduced basic, generally used, opion pricing model and heir work are considered as a significan added value in financial engineering heory and pracice. However, his model canno be used for he pricing of he barrier opions. Meron (1973) modified classic version of his model for European down and knock-ou call opion. Formulas for eigh ypes of he barrier opions were derived by Rubinsein and Reiner (1991). Moreover, finally, Haug (2007) applied valuaion formulas on all 16 ypes of he European syle of he barrier opions. Based on Haug model (2007) we compue heoreical prices of sandard European barrier call/pu opions, where he following inpu parameers are considered: he acual underlying spo price S 0, he barrier level B, he srike price X, compensaion K, he risk-free ineres rae r (derived from governmen bonds yields U.S. reasury rae, source: 387

3 Monika Harčariková and Michal Šolés: New hedging echniques in energy secor using barrier opions he implied volailiy σ (we used hisorical volailiy), dividend yield q, he ime o mauriy of he opion. All derived relaions of barrier call opions can be found in Iacus (2011). Our calculaions of seleced barrier opions were processed in he saisical program R. Hedging echniques wih using of barrier opions Suppose ha he firm decides o hedge by using New 4 opion sraegy. herefore, we analyse various hedging echniques using given opion sraegy by barrier opions. he used way is creaed by buying n pu opions and a he same ime by selling n call opions and by buying n call opions, where he srike prices should be se as X1 < X 2 < X3. In he analysis of hedging echniques we can consider differen levels of call barrier opions. Where barrier condiions for paricular call barrier opions wih premium c 2S or c 3B are in able 1. For easier undersanding, we will consider he same level of lower D and upper U barriers for used barrier opions. ab. 1. Call barrier opions. ype of call barrier opion Barriers up and knock-in (UI) up and knock-ou (UO) U > X U > S0 down and knock-in (DI) D < X 2 D < X3 D = X 2 D = X 3 down and knock-ou (DO) D > X 2 D > X3 Noes: X srike price, D lower barrier, U upper barrier. D < S 0 Le s consider he selling n pieces of he underlying asse from our porfolio. However, we are afraid of is price flucuaion o he drop in he marke. he income from he sale of he unsecured posiion in he amoun of n pieces a ime is n, where is he underlying spo price a ime. A firs, le us consruc New 4 opion sraegy by buying n down and knock-in pu opions wih a srike price X 1, he premium p 1BDI per opion, he barrier level D and a he same ime by selling he same amoun of n call opions wih he srike price X 2, he premium c 2S per opion and by buying n call opions wih he srike price X 3, he premium c 3B per opion. All relaions for analyical expressions of vanilla and barrier opions used in our analysis are derived and presened by Rusnáková (2012). For simplificaions, we have assumed he same level of lower D (for DI and DO barrier opions) and upper U (for UI and UO barrier opions) barriers for invesigaed hedging echniques in our research analysis. I is valid, ha D < X1and U > X 3, simulaneously D < S0 and U > S 0 should be se, where S 0 is he acual underlying spo price a he ime of issue. In case of DI/DO call opions, he barrier D can be se lower, equal or higher han he srike price. For UI/UO call opions, he barrier U should be se higher han he srike price. Oherwise, i is classical corresponden vanilla call opions. able 2 shows he final selling price of New 4 opion sraegy_1 as a sum he cash marke price and he fuure marke payoff. ab. 2. Final selling prices using New 4 opion sraegy_1. Price scenarios of energy Cash marke Fuure marke payoff fund price ( S ) >D < X1 n n ( p1 BDI c2s + c3b ) ) D < X1 S X1 < X 2 X 2 < X 3 S X 3 Final selling price ( S p + c c ) n 1BDI 2S 3B n ( S X + p c c ) ( X p + c c ) n 1 1BDI 2S + 3B n 1 1BDI 2S 3B n n ( p1 BDI c2s + c3b ) n ( B ) n S n ( X2 + p1bdi c2s + c3b ) n ( X 2 B ) n S ( X X p + c c ) ( S + X X p + c c ) n 2 3 1BDI 2S 3B n 2 3 1BDI 2S 3B In comparison o he classical vanilla opions, he barrier opion premiums are always cheaper for he uncerainy of he barrier opion price in he fuure. In every ime his New 4 opion sraegy is creaed wihou any iniial coss, i.e. he zero-cos sraegy is fulfilled by relaion (1): c n p c (1) ( ) n + 2 S 1BDI 3B his hedging echnique is he bes due o higher selling call opion premium. he higher srike price is, he lower call opion premiums and he higher pu opion premiums are. 388

4 he comparison of cash marke price and final selling price as i is shown by income funcion in able 1, we can conclude: he expecaions of reaching he lower barrier D by underlying asse during he ime o mauriy and S < X 1 a he mauriy dae are desired. For our purpose, he incomes of final selling price are sill consan in amoun of n ( X1 c 3B ). By comparing wih he cash marke price (he unsecured posiion), he incomes will be higher wih he given hedging sraegy if ( + ) n X1 p1bdi c2s c 3B. On he oher side, if he lower barrier is no reached during ime o mauriy and S < X1 or X1 < X 2, he incomes from he final selling price are n ( c 3B ). In his case we hedged a consan profi in amoun of ( ) n c2s p1bdi c 3B. If he underlying asse s spo price a he mauriy dae is a an inerval X2 < X3, hen he incomes of n X 2 c 3B. And he hedged sraegy will be he hedged sraegy will be consan in amoun of ( ) beer han unsecured posiion for case S n ( X p + c c ). 2 1BDI 2S 3B If he price X3, he secured incomes will always be lower han he incomes from unsecured posiion in amoun of ( + + ) n S X X p c c BDI 2S 3B Le us consider wih hedging opion s creaion as buying n down and knock-in pu opions wih a srike price X 1, he premium p 1BDI per opion, he barrier level D and a he same ime by selling he same amoun of n call opions wih he srike price X 2, he premium c 2S per opion and by buying n call barrier opions wih he srike price X 3, where he call barrier opions can be: 2A) up and knock-in call opions wih he barrier level U, i.e. U > X3 and premium c 3SUI per opion. 2B) up and knock-ou call opions wih he barrier level U, i.e. U > X3 and premium c 3SUO per opion. 2C) down and knock-in call opions wih he barrier level D, i.e. D < X3 and premium c 3SDI per opion. 2D) down and knock-ou call opions wih he barrier level D, i.e. D < X3 and premium c 3SDO per opion. he expiraion period has o be same for all used opions. he final selling prices of New 4 opion sraegy_2 for used call barrier opions are presened in able 3. Price scenarios of energy fund S > D S < X 0 ( ) 1 ) D < X 1 X < ab. 3. Final selling prices using New 4 opion sraegy_2. Final selling price_2a Final selling price_2b Final selling price_2c Final selling price_2d p1 BDI BDI BDO X1 p1 BDI X1 X1 BDI X1 BDO 1 S X 2 p1 BDI BDI BDO X < 2 S X 3 X 2 p1 BDI X 2 X 2 BDI X 2 BDO ) U X 3 + X 2 X3 BU X 2 p1bdi - - ) < U X 3 ) D X 3 ) > D X 3 X 2 p1 BDI X 2 X3 BU X 2 X 3 B - - X 2 p1bdi BDI + X 2 BDO + X 2 X3 BD Now, le s creae a hedging hrough Nova 1 sraegy using only barrier opions. he bes possibiliies are by buying n down and knock-in pu opions wih a srike price X 1, he premium p 1BDI per opion, he barrier level D and a he same ime by selling he same amoun of n down and knock-ou call opions wih he srike price X 2, he premium c 2SDO per opion, he barrier level D and by buying n 3A) up and knock-in call opions wih he srike price X 3, he premium c 3BUI per opion and barrier level U. 3B) up and knock-ou call opions wih he srike price X 3, he premium c 3 per opion and barrier level U. he final selling prices of New 4 opion sraegy_3 are presened in able

5 Monika Harčariková and Michal Šolés: New hedging echniques in energy secor using barrier opions ab. 4. Final selling prices using New 4 opion sraegy_3. Price scenarios of energy fund Final selling price_3a Final selling price_3b ) > D < X1 p1bdi DO DO ) D < X1 X1 DO X1 DO X1 < X 2 DO DO ) > D X 2 < X3 ) D X 2 < X3 ) U ) > D X3 ) U ) D X3 ) < U ) > D X3 ) < U ) D X3 X 2 DO X 2 DO DO DO + X 2 X3 DO X 2 DO 2 X3 DO DO X 2 DO + X 2 X3 DO DO 2 X3 DO For righ invesor s decision, i is necessary o choose call barrier opions (UI, UO, DI, DO) depends on he ype of expecaions of underlying asse s developmen. We can predic rapid/slowly increase or rapid/slowly drop of he underlying asse. According o his, he call barrier opions are chosen for he hedging. Some opions secure he final selling price only parially, oher ypes fully. Finally, i may no be a perfec hedge, bu i should remove much of he risk, and he hedger has o make a final decision. Pracical applicaion o he energy secor In his par, our proposed hedging varians are applied in energy secor using exchange-raded funds (EFs), specifically Energy Selec Secor SPDR EF (referred XLE). EFs provide an ineresing way how o inves in energy sources such as oil, gas, coal or elecriciy. XLE fund is chosen due o is size in his caegory. Now, le us suppose ha in he fuure (January 2018) we are planning o sell 100 socks of XLE. We are afraid a downwards price movemen over he period. In his ime, we aim o hedge using above menioned New 4 opion sraegy creaed by vanilla and barrier opions. Using his opion sraegy, we wan o hedge he imum selling price in January raded amoun of shares are 100 pieces, while he zero-cos opion sraegy has o be fulfilled according o relaion (1). Oherwise hedging varians are excluded from our observaions. For easier way, we do no consider any ransacion coss and rading consrains. Nex par shows some hedging varians, which mee he above-saed requiremens. Daa descripion he shares of XLE are raded a USD per share on 13 h informaion are presened in able 5. Sepember Basic key hedging ab. 5. Key hedging informaion. Underlying asse Energy Selec Secor SPDR EF (XLE) Issue dae 13 h Sepember 2016 Issue price USD Mauriy dae 19 h January 2018 Muliplier 1:1 Dividend yield 3.54 % Source: finance.yahoo.com Vanilla opions are in real raded in he marke, where he daase is obained from finance.yahoo.com. European barrier opions are calculaed according o Haug model (2007) in saisical program R wih he inpu parameers as he spo price of he underlying asse (68.38 USD), imes o mauriy (494 days, i.e. hedging period from 13 h Sepember 2016 o 19 h January 2018), ineres rae 0.67 % (gained from reasury.gov), dividend yield 3.54 % (gained from google.com/finance) and hisorical volailiy % (analysed for period 8 h May h Sepember 2016). Seleced European call/pu opion premiums for classic vanilla and barrier opions (barriers 40 and 90 USD) are presened in able

6 ab. 6. European call/pu/call barrier/pu barrier opion premiums wih barrier levels 40 and 90 on 13 h Sepember Implied volailiy Call UI Call UO Call DI Call DO Pu Call Srike Pu DI [%] (90) (90) (40) (40) (40) Noes: Opion premiums are in USD. Source: finance.yahoo.com, own calculaions in saisical program R. he daase for our analysis consiss of 39 vanilla call/pu opions, 128 UI/UO/DI/DO call opions and 12 DI pu opions. he used currency of an underlying asse and opion premiums is in USD. he srike prices of a real vanilla call opions are considered in he range of he barrier levels are seleced by auhors, where for lower barriers of DI/DO call/pu opions in he range of and for upper barriers of UI/UO call opions in he range of , all in muliples of 10. Based on he daase, here are analysed hedging echniques wih he srike prices: 1. X 1 = 50, X 2 = 60 and X 3 = 75, 2. X 1 = 45, X 2 = 58 and X 3 = 73, 3. X 1 = 50, X 2 = 55 and X 3 = 70, and considered lower barrier of he level 30, 40, 50 and 60, and he upper barrier of he level 80, 90, 100 and 110. oally, 2601 hedging varians are proposed and analysed. However, only seleced varians fulfilling zerocos opion sraegy are presened in his paper. Also for easier way o showing resuls, he same barrier for UI/UO opions (he level 90 USD) and DI/DO opions (he level 40 USD) are used. Resuls and discussion Given hedging echniques have secured us a imum accepable selling price of he underlying asse, where he zero-cos opion condiions are preferred. he XLE acual spo price is USD, and we expec XLE price drop in January According o he firs hedging echnique, we will buy 100 DI pu opions wih he srike price 50, he barrier level 40, he premium 1.39 per opion and simulaneously, we will sell 100 call opions wih he srike price 55, he premium per opion and buy 100 call opions wih he srike price 70 and he premium 5.95 per opion. his hedging echnique is he simples of all varian. In his example, able 7 liss he final selling prices in USD for a case of various fuure XLE price scenarios. Price scenarios of XLE ( S ) > 40 S < 50 ( S ) 40 S < 50 ab. 7. Final selling prices using New 4 opion sraegy_1. Final selling price of Final selling price of Cash marke Final XLE selling XLE per share hedging per share price price 100 S < 55 S 55 < 70 S 100 S 100 S , S , S S here is compared cash marke price wih final selling price a various XLE price developmen during he ime o mauriy and a he mauriy dae, where he following conclusions are formulaed: If he spo price of XLE shares during he ime o mauriy does no reach or reaches he barrier 40 USD and is lower han USD, hen he hedged varian 1 is sill beer han he unsecured posiion. Hedged posiion secures consan selling price in he amoun of USD per share for he case of reaching he barrier 40 USD during he ime o mauriy and XLE price lower han 50 USD, and he higher consan selling price USD per share in inerval <55, 70> of XLE spo price a he mauriy dae. Anoher hedging varians are creaed as combinaions of barrier opions. he second varian can be creaed by buying 100 DI pu opions wih he srike price 50, he barrier level 40, he premium 1.39 per opion and a he same ime by selling 100 call opions wih he srike price 55 and he premium per opion and by buying 100 2A) UI call opions wih a srike price 70, he barrier level 90, he premium 5.56 per opion, 391

7 Monika Harčariková and Michal Šolés: New hedging echniques in energy secor using barrier opions 2B) UO call opions wih a srike price 70, he barrier level 90, he premium 0.77 per opion, 2C) DI call opions wih a srike price 70, he barrier level 40, he premium 0.00 per opion, 2D) DO call opions wih a srike price 70, he barrier level 40 and he premium 6.32 per opion. he las (he hird) varian of New 4 opion sraegy creaion is by buying 100 DI pu opions wih he srike price 50, he barrier level 40, he premium 1.39 per opion and a he same ime by selling 100 DO call opions wih he srike price 55, he barrier 40, he premium per opion and by buying 100 3A) UI call opions wih a srike price 70, he barrier level 90, he premium 5.56 per opion. 3B) UO call opions wih a srike price 70, he barrier level 90 and he premium 0.77 per opion. he comparison of all analysed hedging echniques a various XLE price developmen during he ime o mauriy and a he mauriy dae are shown in able 8 wih a provided more deailed illusraion of seleced hedging varians. he resuls from able 8 shows ha he bes hedging echnique is varian 2C securing he highes selling price in he amoun of USD per share. Also, varian 2B is ineresing for hedgers, where he selling price is in he amoun of USD. ab. 8. Comparison of he hedging echniques 2A 2D and 3A 3B. Price scenarios of energy Final selling Final selling Final selling Final selling fund price_2a price_2b price_2c price_2d ) > 40 < , , S ( S ) 40 S < 50 Final selling price_3a Final selling price_3b S , , , , , , , S < S , , S , S < 70 6, , , , ( S ) > S < , , ( S ) S < , ( S ) 90 S , ( S ) < 90 S 70 6, ( S ) 40 S 70 S S , ( S ) > 40 S , ( S ) 90 ( S ) > 40 S S 6, ( S ) 90 ( S ) 40 S , , ( S ) < 90 ( S ) > 40 S , S ( ) < 90 ( S ) 40 S 70 S Graphical comparison of seleced varians is illusraed below in Figure 1. S 200 5,

8 Barrier D was, reached, and barrier U was no reached Barrier D and U were reached Barrier D was no reached, and barrier U was reached Barrier D and U were no reached Fig. 1. Comparison of he seleced analysed hedging echniques. Le us look a able 8 and Figure 1, where he following conclusions are valid: If he XLE spo price during he ime o mauriy drops under lower barrier 20 USD and does no grow above upper barrier 90 USD and is lower han USD a he mauriy dae, hen he varian 2C is sill beer han oherwise hedging varians. Oherwise, he varian 3C is beer. If we compare only varians 2C and 3A, he hedging varian 2C generaes us he beer income up o XLE price of USD. If he boh of barrier levels are reached, he varian 2C is beer up o spo price USD, hen he varian 3C from he inerval <58.52, 74.79>, oherwise he varian 3B. hese hree varians secure he higher selling price han he unsecured posiion. For he hird case, if he lower barrier is no reached and he upper barrier is reached during he ime o mauriy, he varian 2C secures higher income in inerval <40, 70.21>. Oherwise, he unsecured posiion is beer up o he endlessly. In he las case, he boh of barrier levels are no reached during he ime o mauriy; hen he resuls are he same as in he hird case. However, he income from he unsecured posiion is limied up o upper barrier 90 USD. Finally, we will recommend he hedging varian 2C as one way o secure he higher imum selling price for hedgers. All hedging echniques creaions using barrier opions are very ineresing in a price drop. Barrier opion premium is always cheaper han classic vanilla opion premiums according o aleb (1997). In our expeced XLE price scenario, i.e. he lower barrier D is reached during he ime o mauriy, and he XLE spo price a he mauriy dae is lower han 50, he varian 2C is he bes in comparison o ohers, where he imum selling price in he value of USD per share is secured. However, he resuls of our analysis reveal ha he hedger s choice of he barrier opions in he hedging echniques depends on he expecaions of he underlying asse s price developmen. Hedgers can choose beween knock-in and knock-ou barrier opions based on zero-cos opion sraegy. If here is expeced srong drop/increase, he knock-in opions are chosen. In his case, he opion 393

9 Monika Harčariková and Michal Šolés: New hedging echniques in energy secor using barrier opions is acivaed afer reaching he barrier level. Oherwise, if here is expeced only moderaely drop/increase, he knock-ou opions are chosen, when hey are deacivaed afer reaching he barrier level. Finally, all designed hedging varians are beer as he unsecured posiion for our expeced XLE price drop. herefore, he final decision is a hedger s expecaions and willingness o ake risks. If he hedger s expecaions do no mee, hey could gain a loss in comparison o he unsecured posiion. Conclusion High volailiy scares invesors, firms and ohers marke paricipans and fear can impac he marke iself. Due o susained drops in he marke, he risk managemen appears as an ineresing way of solving his problem. he paper aimed o inroduce he hedging analysis agains underlying asse s price drop using New 4 opion sraegy creaed by barrier opions. In he beginning, he paper presened he overview of he lieraure and he research mehodology. o he bes of our knowledge, he only lile research has invesigaed he hedging echniques using barrier opions. he main purpose of his approach is o joinly analyse and compare various ways of New 4 opion sraegy creaion using barrier opions and heir applicaion in he energy secor, i.e. Energy Selec Secor SPDR EF. he primary aim is o choose hedging varians, which mee he requiremens of zero-coss. Our resuls show ha using he barrier opions indicae he more alernaives for hedging, where all varians are analysed. Following he menioned assumpions, he only bes hedging echniques are inroduced in deailed descripion as well. Also, numerical examples on given hedging echniques are presened, where he varian 2C, i.e. creaed wih DI pu, call and DI call opions ensure he highes income a expeced inervals of he XLE shares spo price a he mauriy dae. Ohers varians are no excluded from our observaions because heir income is ineresing oo. However, hey are no presened in he paper. However, he final decision, wha combinaions of he srike prices, he lower and he upper barrier levels and ype of opions, is on he hedger and his expecaions abou underlying asse s price developmen and he willingness o ake a risk. Our resuls can be imporan for praciioners, individual invesors, firms, ohers marke paricipans and he general public. he main conribuion of he paper is o highligh he one ype of derivaive conracs, i.e. barrier opions, whose payoff srucures produces a beer hedging resuls agains downside risk. References Amaiiek, O. F. S., Bálin,., Rešovský, M.: he Shor Call Ladder sraegy and is applicaion in rading and hedging. Aca Monanisica Slovaca, 15(3), , Black, F., Scholes, M.: Pricing of Opions and he Corporae Liabiliies. Journal of Poliical Economy, 81(3), , Brown, G.W.: Managing foreign exchange risk wih derivaives. J. Financial Economics, 60(2-3), , Guay W., Kohari S. P.: How much do firms hedge wih derivaives? Journal of Financial Economics, 70(3), , Hankins, K.W.: How Do Financial Firms Manage Risk? Unraveling he Ineracion of Financial and Operaional Hedging. Managemen Science, 57(12), , Haug, E. G.: he Complee Guide o Opion Pricing Formulas, second ed., Hardcover: McGraw-Hill, Hull, J. C.: Opions, Fuures and Oher Derivaives, Prenice-Hall, New Jersey, Iacus, S.M.: Opion Pricing and Esimaion of Financial Models wih R, firs ed., John Wiley & Sons, Ld., Unied Kingdom, Loss, F.: Opimal Hedging Sraegies and Ineracions beween firms. Journal of economics & managemen sraegy, 21(1) , Meron, R.C.: heory of raional opion pricing. Journal of Economics and Managemen Science, 4(1), , Rubinsein, M., Reiner, E.: Breaking Down he Barriers. Journal of Risk, 4(8), 28-35, Rusnáková, M.: Bariérové opcie a ich využiie na hedging. Dizeračná práca. Košice: echnická univerzia v Košiciach, Ekonomická fakula, Rusnáková, M., Šolés, V.: Long srangle sraegy using barrier opions and is applicaion in hedging. Acual Problems of Economics, 134(8), , Rusnáková, M.: Commodiy price risk managemen using opion sraegies. Agriculural Economics, 61(4), , Šoles, M.: Opčne sraégie a ich využiie na finančných rhoch. Habiliačná práca. Košice: echnická univerzia v Košiciach, Ekonomická fakula,

10 Šolés M., Harčariková, M.: Analysis of Nova 1 sraegy formed by barrier opions and is applicaion in hedging agains a price drop in oil marke. Aca Monanisica Slovaca, 20(4), , Šolés, V., Rusnáková, M.: Long Combo sraegy using barrier opions and is applicaion in hedging agains a price drop. Aca Monanisica Slovaca, 17(1), 17-32, Šolés, V., Rusnáková, M.: Hedging Agains a Price Drop Using he Inverse Verical Raio Pu Spread Sraegy Formed by Barrier Opions. Inzinerine Ekonomika Engineering Economics, 24(1), 18-27, aleb, N.N.: Dynamic Hedging: Managing Vanilla and Exoic Opions. Hardcover: Wiley & Sons, ichý,.: Replicaion Mehods in he Pricing and Hedging of Barrier Opions. Czech Journal of Economics and Finance (Finance a úver), 54(7-8), , ichý,.: Posouzeni meody casecneho hedgingu na pripadu rizeni menoveho rizika nefinancni insiuce. Economic Revue Cenral European Review of Economic, 12(2), 69-82, Zhang, P.G:. Exoic opions: A Guide o Second Generaion Opions, second ed., World Scienific Publishing, Singapore,

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSIUE OF ACUARIES OF INDIA EAMINAIONS 23 rd May 2011 Subjec S6 Finance and Invesmen B ime allowed: hree hours (9.45* 13.00 Hrs) oal Marks: 100 INSRUCIONS O HE CANDIDAES 1. Please read he insrucions on

More information

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium)

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium) 5. Inflaion-linked bonds Inflaion is an economic erm ha describes he general rise in prices of goods and services. As prices rise, a uni of money can buy less goods and services. Hence, inflaion is an

More information

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM )

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM ) Descripion of he CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) Inroducion. The CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) is a benchmark index designed o rack he performance of a hypoheical 2% ou-of-he-money

More information

Description of the CBOE Russell 2000 BuyWrite Index (BXR SM )

Description of the CBOE Russell 2000 BuyWrite Index (BXR SM ) Descripion of he CBOE Russell 2000 BuyWrie Index (BXR SM ) Inroducion. The CBOE Russell 2000 BuyWrie Index (BXR SM ) is a benchmark index designed o rack he performance of a hypoheical a-he-money buy-wrie

More information

Pricing formula for power quanto options with each type of payoffs at maturity

Pricing formula for power quanto options with each type of payoffs at maturity Global Journal of Pure and Applied Mahemaics. ISSN 0973-1768 Volume 13, Number 9 (017, pp. 6695 670 Research India Publicaions hp://www.ripublicaion.com/gjpam.hm Pricing formula for power uano opions wih

More information

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 This exam has 50 quesions on 14 pages. Before you begin, please check o make sure ha your copy has all 50 quesions and all 14 pages.

More information

A Decision Model for Investment Timing Using Real Options Approach

A Decision Model for Investment Timing Using Real Options Approach A Decision Model for Invesmen Timing Using Real Opions Approach Jae-Han Lee, Jae-Hyeon Ahn Graduae School of Managemen, KAIST 207-43, Cheongrangri-Dong, Dongdaemun-Ku, Seoul, Korea ABSTRACT Real opions

More information

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion.

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion. BALANCE OF PAYMENTS DATE: 27-11-27 PUBLISHER: Saisics Sweden Balance of Paymens and Financial Markes (BFM) Maria Falk +46 8 6 94 72, maria.falk@scb.se Camilla Bergeling +46 8 6 942 6, camilla.bergeling@scb.se

More information

Principles of Finance CONTENTS

Principles of Finance CONTENTS Principles of Finance CONENS Value of Bonds and Equiy... 3 Feaures of bonds... 3 Characerisics... 3 Socks and he sock marke... 4 Definiions:... 4 Valuing equiies... 4 Ne reurn... 4 idend discoun model...

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 05 h November 007 Subjec CT8 Financial Economics Time allowed: Three Hours (14.30 17.30 Hrs) Toal Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1) Do no wrie your

More information

Volatility and Hedging Errors

Volatility and Hedging Errors Volailiy and Hedging Errors Jim Gaheral Sepember, 5 1999 Background Derivaive porfolio bookrunners ofen complain ha hedging a marke-implied volailiies is sub-opimal relaive o hedging a heir bes guess of

More information

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi

t=1 C t e δt, and the tc t v t i t=1 C t (1 + i) t = n tc t (1 + i) t C t (1 + i) t = C t vi Exam 4 is Th. April 24. You are allowed 13 shees of noes and a calculaor. ch. 7: 137) Unless old oherwise, duraion refers o Macaulay duraion. The duraion of a single cashflow is he ime remaining unil mauriy,

More information

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values McGraw-Hill/Irwin Chaper 2 How o Calculae Presen Values Principles of Corporae Finance Tenh Ediion Slides by Mahew Will And Bo Sjö 22 Copyrigh 2 by he McGraw-Hill Companies, Inc. All righs reserved. Fundamenal

More information

Pricing FX Target Redemption Forward under. Regime Switching Model

Pricing FX Target Redemption Forward under. Regime Switching Model In. J. Conemp. Mah. Sciences, Vol. 8, 2013, no. 20, 987-991 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/10.12988/ijcms.2013.311123 Pricing FX Targe Redempion Forward under Regime Swiching Model Ho-Seok

More information

Forecasting Sales: Models, Managers (Experts) and their Interactions

Forecasting Sales: Models, Managers (Experts) and their Interactions Forecasing Sales: Models, Managers (Expers) and heir Ineracions Philip Hans Franses Erasmus School of Economics franses@ese.eur.nl ISF 203, Seoul Ouline Key issues Durable producs SKU sales Opimal behavior

More information

DEBT INSTRUMENTS AND MARKETS

DEBT INSTRUMENTS AND MARKETS DEBT INSTRUMENTS AND MARKETS Zeroes and Coupon Bonds Zeroes and Coupon Bonds Ouline and Suggesed Reading Ouline Zero-coupon bonds Coupon bonds Bond replicaion No-arbirage price relaionships Zero raes Buzzwords

More information

DYNAMIC ECONOMETRIC MODELS Vol. 7 Nicolaus Copernicus University Toruń Krzysztof Jajuga Wrocław University of Economics

DYNAMIC ECONOMETRIC MODELS Vol. 7 Nicolaus Copernicus University Toruń Krzysztof Jajuga Wrocław University of Economics DYNAMIC ECONOMETRIC MODELS Vol. 7 Nicolaus Copernicus Universiy Toruń 2006 Krzyszof Jajuga Wrocław Universiy of Economics Ineres Rae Modeling and Tools of Financial Economerics 1. Financial Economerics

More information

Chapter Outline CHAPTER

Chapter Outline CHAPTER 8-0 8-1 Chaper Ouline CHAPTER 8 Sraegy and Analysis in Using Ne Presen Value 8.1 Decision Trees 8.2 Sensiiviy Analysis, Scenario Analysis, and Break-Even Analysis 8.3 Mone Carlo Simulaion 8. Opions 8.5

More information

Web Usage Patterns Using Association Rules and Markov Chains

Web Usage Patterns Using Association Rules and Markov Chains Web Usage Paerns Using Associaion Rules and Markov hains handrakasem Rajabha Universiy, Thailand amnas.cru@gmail.com Absrac - The objecive of his research is o illusrae he probabiliy of web page using

More information

On the Impact of Inflation and Exchange Rate on Conditional Stock Market Volatility: A Re-Assessment

On the Impact of Inflation and Exchange Rate on Conditional Stock Market Volatility: A Re-Assessment MPRA Munich Personal RePEc Archive On he Impac of Inflaion and Exchange Rae on Condiional Sock Marke Volailiy: A Re-Assessmen OlaOluwa S Yaya and Olanrewaju I Shiu Deparmen of Saisics, Universiy of Ibadan,

More information

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6.

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6. Pricing ulnerable American Opions April 16, 2007 Peer Klein and Jun (James) Yang imon Fraser Universiy Burnaby, B.C. 5A 16 pklein@sfu.ca (604) 268-7922 Pricing ulnerable American Opions Absrac We exend

More information

Balance of Payments. Second quarter 2012

Balance of Payments. Second quarter 2012 Balance of Paymens Second quarer 2012 Balance of Paymens Second quarer 2012 Saisics Sweden 2012 Balance of Paymens. Second quarer 2012 Saisics Sweden 2012 Producer Saisics Sweden, Balance of Paymens and

More information

Inventory Investment. Investment Decision and Expected Profit. Lecture 5

Inventory Investment. Investment Decision and Expected Profit. Lecture 5 Invenory Invesmen. Invesmen Decision and Expeced Profi Lecure 5 Invenory Accumulaion 1. Invenory socks 1) Changes in invenory holdings represen an imporan and highly volaile ype of invesmen spending. 2)

More information

Comparison of back-testing results for various VaR estimation methods. Aleš Kresta, ICSP 2013, Bergamo 8 th July, 2013

Comparison of back-testing results for various VaR estimation methods. Aleš Kresta, ICSP 2013, Bergamo 8 th July, 2013 Comparison of back-esing resuls for various VaR esimaion mehods, ICSP 3, Bergamo 8 h July, 3 THE MOTIVATION AND GOAL In order o esimae he risk of financial invesmens, i is crucial for all he models o esimae

More information

Origins of currency swaps

Origins of currency swaps Origins of currency swaps Currency swaps originally were developed by banks in he UK o help large cliens circumven UK exchange conrols in he 1970s. UK companies were required o pay an exchange equalizaion

More information

Single Premium of Equity-Linked with CRR and CIR Binomial Tree

Single Premium of Equity-Linked with CRR and CIR Binomial Tree The 7h SEAMS-UGM Conference 2015 Single Premium of Equiy-Linked wih CRR and CIR Binomial Tree Yunia Wulan Sari 1,a) and Gunardi 2,b) 1,2 Deparmen of Mahemaics, Faculy of Mahemaics and Naural Sciences,

More information

a. If Y is 1,000, M is 100, and the growth rate of nominal money is 1 percent, what must i and P be?

a. If Y is 1,000, M is 100, and the growth rate of nominal money is 1 percent, what must i and P be? Problem Se 4 ECN 101 Inermediae Macroeconomics SOLUTIONS Numerical Quesions 1. Assume ha he demand for real money balance (M/P) is M/P = 0.6-100i, where is naional income and i is he nominal ineres rae.

More information

Hedging Performance of Indonesia Exchange Rate

Hedging Performance of Indonesia Exchange Rate Hedging Performance of Indonesia Exchange Rae By: Eneng Nur Hasanah Fakulas Ekonomi dan Bisnis-Manajemen, Universias Islam Bandung (Unisba) E-mail: enengnurhasanah@gmail.com ABSTRACT The flucuaion of exchange

More information

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000.

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000. Social Analysis 10 Spring 2006 Problem Se 1 Answers Quesion 1 a. The compuer is a final good produced and sold in 2006. Hence, 2006 GDP increases by $2,000. b. The bread is a final good sold in 2006. 2006

More information

Models of Default Risk

Models of Default Risk Models of Defaul Risk Models of Defaul Risk 1/29 Inroducion We consider wo general approaches o modelling defaul risk, a risk characerizing almos all xed-income securiies. The srucural approach was developed

More information

1 Purpose of the paper

1 Purpose of the paper Moneary Economics 2 F.C. Bagliano - Sepember 2017 Noes on: F.X. Diebold and C. Li, Forecasing he erm srucure of governmen bond yields, Journal of Economerics, 2006 1 Purpose of he paper The paper presens

More information

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts Macroeconomics Par 3 Macroeconomics of Financial Markes Lecure 8 Invesmen: basic conceps Moivaion General equilibrium Ramsey and OLG models have very simple assumpions ha invesmen ino producion capial

More information

Available online at ScienceDirect

Available online at  ScienceDirect Available online a www.sciencedirec.com ScienceDirec Procedia Economics and Finance 8 ( 04 658 663 s Inernaional Conference 'Economic Scienific Research - Theoreical, Empirical and Pracical Approaches',

More information

Stylized fact: high cyclical correlation of monetary aggregates and output

Stylized fact: high cyclical correlation of monetary aggregates and output SIMPLE DSGE MODELS OF MONEY PART II SEPTEMBER 27, 2011 Inroducion BUSINESS CYCLE IMPLICATIONS OF MONEY Sylized fac: high cyclical correlaion of moneary aggregaes and oupu Convenional Keynesian view: nominal

More information

Roger Mercken 1, Lisette Motmans 2, Ghislain Houben Call options in a nutshell

Roger Mercken 1, Lisette Motmans 2, Ghislain Houben Call options in a nutshell No more replicaing porfolios : a simple convex combinaion o undersand he ris-neural valuaion mehod for he muli-sep binomial valuaion of a call opion Roger Mercen, Lisee Momans, Ghislain Houben 3 Hassel

More information

CURRENCY CHOICES IN VALUATION AND THE INTEREST PARITY AND PURCHASING POWER PARITY THEORIES DR. GUILLERMO L. DUMRAUF

CURRENCY CHOICES IN VALUATION AND THE INTEREST PARITY AND PURCHASING POWER PARITY THEORIES DR. GUILLERMO L. DUMRAUF CURRENCY CHOICES IN VALUATION AN THE INTEREST PARITY AN PURCHASING POWER PARITY THEORIES R. GUILLERMO L. UMRAUF TO VALUE THE INVESTMENT IN THE OMESTIC OR FOREIGN CURRENCY? Valuing an invesmen or an acquisiion

More information

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations The Mahemaics Of Sock Opion Valuaion - Par Four Deriving The Black-Scholes Model Via Parial Differenial Equaions Gary Schurman, MBE, CFA Ocober 1 In Par One we explained why valuing a call opion as a sand-alone

More information

Valuing Real Options on Oil & Gas Exploration & Production Projects

Valuing Real Options on Oil & Gas Exploration & Production Projects Valuing Real Opions on Oil & Gas Exploraion & Producion Projecs March 2, 2006 Hideaka (Hugh) Nakaoka Former CIO & CCO of Iochu Oil Exploraion Co., Ld. Universiy of Tsukuba 1 Overview 1. Inroducion 2. Wha

More information

Estimating Earnings Trend Using Unobserved Components Framework

Estimating Earnings Trend Using Unobserved Components Framework Esimaing Earnings Trend Using Unobserved Componens Framework Arabinda Basisha and Alexander Kurov College of Business and Economics, Wes Virginia Universiy December 008 Absrac Regressions using valuaion

More information

OPTIMUM FISCAL AND MONETARY POLICY USING THE MONETARY OVERLAPPING GENERATION MODELS

OPTIMUM FISCAL AND MONETARY POLICY USING THE MONETARY OVERLAPPING GENERATION MODELS Kuwai Chaper of Arabian Journal of Business and Managemen Review Vol. 3, No.6; Feb. 2014 OPTIMUM FISCAL AND MONETARY POLICY USING THE MONETARY OVERLAPPING GENERATION MODELS Ayoub Faramarzi 1, Dr.Rahim

More information

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport Suggesed Templae for Rolling Schemes for inclusion in he fuure price regulaion of Dublin Airpor. In line wih sandard inernaional regulaory pracice, he regime operaed since 00 by he Commission fixes in

More information

Optimal Early Exercise of Vulnerable American Options

Optimal Early Exercise of Vulnerable American Options Opimal Early Exercise of Vulnerable American Opions March 15, 2008 This paper is preliminary and incomplee. Opimal Early Exercise of Vulnerable American Opions Absrac We analyze he effec of credi risk

More information

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS 1 Beaa TRZASKUŚ-ŻAK 1, Kazimierz CZOPEK 2 MG 3 1 Trzaskuś-Żak Beaa PhD. (corresponding auhor) AGH Universiy of Science and Technology Faculy of Mining and Geoengineering Al. Mickiewicza 30, 30-59 Krakow,

More information

CHAPTER CHAPTER18. Openness in Goods. and Financial Markets. Openness in Goods, and Financial Markets. Openness in Goods,

CHAPTER CHAPTER18. Openness in Goods. and Financial Markets. Openness in Goods, and Financial Markets. Openness in Goods, Openness in Goods and Financial Markes CHAPTER CHAPTER18 Openness in Goods, and Openness has hree disinc dimensions: 1. Openness in goods markes. Free rade resricions include ariffs and quoas. 2. Openness

More information

Introduction. Enterprises and background. chapter

Introduction. Enterprises and background. chapter NACE: High-Growh Inroducion Enerprises and background 18 chaper High-Growh Enerprises 8 8.1 Definiion A variey of approaches can be considered as providing he basis for defining high-growh enerprises.

More information

A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test:

A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test: A Noe on Missing Daa Effecs on he Hausman (978) Simulaneiy Tes: Some Mone Carlo Resuls. Dikaios Tserkezos and Konsaninos P. Tsagarakis Deparmen of Economics, Universiy of Cree, Universiy Campus, 7400,

More information

CURRENCY TRANSLATED OPTIONS

CURRENCY TRANSLATED OPTIONS CURRENCY RANSLAED OPIONS Dr. Rober ompkins, Ph.D. Universiy Dozen, Vienna Universiy of echnology * Deparmen of Finance, Insiue for Advanced Sudies Mag. José Carlos Wong Deparmen of Finance, Insiue for

More information

DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE?

DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE? DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE? Wesley M. Jones, Jr. The Ciadel wes.jones@ciadel.edu George Lowry, Randolph Macon College glowry@rmc.edu ABSTRACT Economic Value Added (EVA) as a philosophy

More information

Option Valuation of Oil & Gas E&P Projects by Futures Term Structure Approach. Hidetaka (Hugh) Nakaoka

Option Valuation of Oil & Gas E&P Projects by Futures Term Structure Approach. Hidetaka (Hugh) Nakaoka Opion Valuaion of Oil & Gas E&P Projecs by Fuures Term Srucure Approach March 9, 2007 Hideaka (Hugh) Nakaoka Former CIO & CCO of Iochu Oil Exploraion Co., Ld. Universiy of Tsukuba 1 Overview 1. Inroducion

More information

A BLACK-SCHOLES APPROACH FOR THE PRICING OF ELECTRIC POWER OPTIONS IN TURKISH POWER MARKET

A BLACK-SCHOLES APPROACH FOR THE PRICING OF ELECTRIC POWER OPTIONS IN TURKISH POWER MARKET A BLACK-SCHOLES APPROACH FOR THE PRICING OF ELECTRIC POWER OPTIONS IN TURKISH POWER MARKET AHMET YUCEKAYA Deparmen of Indusrial Engineering, Kadir Has Universiy, Faih, Isanbul, Turkey E-mail: ahmey@khas.edu.r

More information

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet.

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet. Appendix B: DETAILS ABOUT THE SIMULATION MODEL The simulaion model is carried ou on one spreadshee and has five modules, four of which are conained in lookup ables ha are all calculaed on an auxiliary

More information

How Risky is Electricity Generation?

How Risky is Electricity Generation? How Risky is Elecriciy Generaion? Tom Parkinson The NorhBridge Group Inernaional Associaion for Energy Economics New England Chaper 19 January 2005 19 January 2005 The NorhBridge Group Agenda Generaion

More information

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg

LIDSTONE IN THE CONTINUOUS CASE by. Ragnar Norberg LIDSTONE IN THE CONTINUOUS CASE by Ragnar Norberg Absrac A generalized version of he classical Lidsone heorem, which deals wih he dependency of reserves on echnical basis and conrac erms, is proved in

More information

Dynamic Programming Applications. Capacity Expansion

Dynamic Programming Applications. Capacity Expansion Dynamic Programming Applicaions Capaciy Expansion Objecives To discuss he Capaciy Expansion Problem To explain and develop recursive equaions for boh backward approach and forward approach To demonsrae

More information

Introduction to Black-Scholes Model

Introduction to Black-Scholes Model 4 azuhisa Masuda All righs reserved. Inroducion o Black-choles Model Absrac azuhisa Masuda Deparmen of Economics he Graduae Cener, he Ciy Universiy of New York, 365 Fifh Avenue, New York, NY 6-439 Email:

More information

Evaluating Projects under Uncertainty

Evaluating Projects under Uncertainty Evaluaing Projecs under Uncerainy March 17, 4 1 Projec risk = possible variaion in cash flows 2 1 Commonly used measure of projec risk is he variabiliy of he reurn 3 Mehods of dealing wih uncerainy in

More information

Provide a brief review of futures markets. Carefully review alternative market conditions and which marketing

Provide a brief review of futures markets. Carefully review alternative market conditions and which marketing Provide a brief review of fuures markes. Carefully review alernaive marke condiions and which markeing sraegies work bes under alernaive condiions. Have an open and ineracive discussion!! 1. Sore or Wai

More information

Equivalent Martingale Measure in Asian Geometric Average Option Pricing

Equivalent Martingale Measure in Asian Geometric Average Option Pricing Journal of Mahemaical Finance, 4, 4, 34-38 ublished Online Augus 4 in SciRes hp://wwwscirporg/journal/jmf hp://dxdoiorg/436/jmf4447 Equivalen Maringale Measure in Asian Geomeric Average Opion ricing Yonggang

More information

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard)

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard) ANSWER ALL QUESTIONS CHAPTERS 6-9; 18-20 (Blanchard) Quesion 1 Discuss in deail he following: a) The sacrifice raio b) Okun s law c) The neuraliy of money d) Bargaining power e) NAIRU f) Wage indexaion

More information

Thursday July 23, 2009 MS&E247s International Investments Handout #13 Page 1 of 16

Thursday July 23, 2009 MS&E247s International Investments Handout #13 Page 1 of 16 MS&E247s Inernaional Invesmens Handou #13 Page 1 of 16 Reading Assignmens for his Week TTh 3:15-4:30 Gaes B01 Thursday, July 23, 2009 Final Exam MS&E 247S Fri Aug 14 2009 12:15PM-3:15PM Gaes B01 Or Saurday

More information

If You Are No Longer Able to Work

If You Are No Longer Able to Work If You Are No Longer Able o Work NY STRS A Guide for Making Disabiliy Reiremen Decisions INTRODUCTION If you re forced o sop working because of a serious illness or injury, you and your family will be

More information

Final Exam Answers Exchange Rate Economics

Final Exam Answers Exchange Rate Economics Kiel Insiu für Welwirhschaf Advanced Sudies in Inernaional Economic Policy Research Spring 2005 Menzie D. Chinn Final Exam Answers Exchange Rae Economics This exam is 1 ½ hours long. Answer all quesions.

More information

4452 Mathematical Modeling Lecture 17: Modeling of Data: Linear Regression

4452 Mathematical Modeling Lecture 17: Modeling of Data: Linear Regression Mah Modeling Lecure 17: Modeling of Daa: Linear Regression Page 1 5 Mahemaical Modeling Lecure 17: Modeling of Daa: Linear Regression Inroducion In modeling of daa, we are given a se of daa poins, and

More information

NASDAQ-100 DIVIDEND POINT INDEX. Index Methodology

NASDAQ-100 DIVIDEND POINT INDEX. Index Methodology NASDAQ-100 DIVIDEND POINT INDEX Index Mehodology April 2017 TABLE OF CONTENTS TABLE OF CONTENTS 1. Inroducion 2. Index calculaion 2.1 Formula 2.1.1 dividends 2.1.2 Rese of he index value 2.2 Oher adjusmens

More information

IJRSS Volume 2, Issue 2 ISSN:

IJRSS Volume 2, Issue 2 ISSN: A LOGITIC BROWNIAN MOTION WITH A PRICE OF DIVIDEND YIELDING AET D. B. ODUOR ilas N. Onyango _ Absrac: In his paper, we have used he idea of Onyango (2003) he used o develop a logisic equaion used in naural

More information

An Introduction to PAM Based Project Appraisal

An Introduction to PAM Based Project Appraisal Slide 1 An Inroducion o PAM Based Projec Appraisal Sco Pearson Sanford Universiy Sco Pearson is Professor of Agriculural Economics a he Food Research Insiue, Sanford Universiy. He has paricipaed in projecs

More information

Macroeconomics II THE AD-AS MODEL. A Road Map

Macroeconomics II THE AD-AS MODEL. A Road Map Macroeconomics II Class 4 THE AD-AS MODEL Class 8 A Road Map THE AD-AS MODEL: MICROFOUNDATIONS 1. Aggregae Supply 1.1 The Long-Run AS Curve 1.2 rice and Wage Sickiness 2.1 Aggregae Demand 2.2 Equilibrium

More information

Stock Market Behaviour Around Profit Warning Announcements

Stock Market Behaviour Around Profit Warning Announcements Sock Marke Behaviour Around Profi Warning Announcemens Henryk Gurgul Conen 1. Moivaion 2. Review of exising evidence 3. Main conjecures 4. Daa and preliminary resuls 5. GARCH relaed mehodology 6. Empirical

More information

Forward Contract Hedging with Contingent Portfolio Programming

Forward Contract Hedging with Contingent Portfolio Programming Forward Conrac Hedging wih Coningen Porfolio Programming Ma-.08 Independen research projecs in applied mahemaics Oso Manninen, 60036T, Tfy s Augus 006 Conens Inroducion... Forward Conracs... 3 3 Coningen

More information

Bond Prices and Interest Rates

Bond Prices and Interest Rates Winer erm 1999 Bond rice Handou age 1 of 4 Bond rices and Ineres Raes A bond is an IOU. ha is, a bond is a promise o pay, in he fuure, fixed amouns ha are saed on he bond. he ineres rae ha a bond acually

More information

Quantitative methods in risk management. Introduction part 2

Quantitative methods in risk management. Introduction part 2 Quaniaive mehods in risk managemen Inroducion par 2 Risk idenificaion LP purchased ŽR bond wih a fixed coupon of 4% and mauriy 5 years. This invesmen has been financed by reail erm deposis wih remaining

More information

Technological progress breakthrough inventions. Dr hab. Joanna Siwińska-Gorzelak

Technological progress breakthrough inventions. Dr hab. Joanna Siwińska-Gorzelak Technological progress breakhrough invenions Dr hab. Joanna Siwińska-Gorzelak Inroducion Afer The Economis : Solow has shown, ha accumulaion of capial alone canno yield lasing progress. Wha can? Anyhing

More information

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option A pricing model for he Guaraneed Lifelong Wihdrawal Benefi Opion Gabriella Piscopo Universià degli sudi di Napoli Federico II Diparimeno di Maemaica e Saisica Index Main References Survey of he Variable

More information

Market Models. Practitioner Course: Interest Rate Models. John Dodson. March 29, 2009

Market Models. Practitioner Course: Interest Rate Models. John Dodson. March 29, 2009 s Praciioner Course: Ineres Rae Models March 29, 2009 In order o value European-syle opions, we need o evaluae risk-neural expecaions of he form V (, T ) = E [D(, T ) H(T )] where T is he exercise dae,

More information

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values Documenaion: Philadelphia Fed's Real-Time Daa Se for Macroeconomiss Firs-, Second-, and Third-Release Values Las Updaed: December 16, 2013 1. Inroducion We documen our compuaional mehods for consrucing

More information

HEDGING VOLATILITY RISK

HEDGING VOLATILITY RISK HEDGING VOLAILIY RISK Menachem Brenner Sern School of Business New York Universiy New York, NY 00, U.S.A. Email: mbrenner@sern.nyu.edu el: 998 033 Fax: 995 473 Ernes Y. Ou Archeus Capial Managemen New

More information

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano Fiscal Policy: A Summing Up Prepared by: Fernando Quijano and vonn Quijano CHAPTER CHAPTER26 2006 Prenice Hall usiness Publishing Macroeconomics, 4/e Olivier lanchard Chaper 26: Fiscal Policy: A Summing

More information

Market and Information Economics

Market and Information Economics Marke and Informaion Economics Preliminary Examinaion Deparmen of Agriculural Economics Texas A&M Universiy May 2015 Insrucions: This examinaion consiss of six quesions. You mus answer he firs quesion

More information

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk Ch. 10 Measuring FX Exposure Topics Exchange Rae Risk: Relevan? Types of Exposure Transacion Exposure Economic Exposure Translaion Exposure Is Exchange Rae Risk Relevan?? Purchasing Power Pariy: Exchange

More information

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong Subdivided Research on he -hedging Abiliy of Residenial Propery: A Case of Hong Kong Guohua Huang 1, Haili Tu 2, Boyu Liu 3,* 1 Economics and Managemen School of Wuhan Universiy,Economics and Managemen

More information

An Incentive-Based, Multi-Period Decision Model for Hierarchical Systems

An Incentive-Based, Multi-Period Decision Model for Hierarchical Systems Wernz C. and Deshmukh A. An Incenive-Based Muli-Period Decision Model for Hierarchical Sysems Proceedings of he 3 rd Inernaional Conference on Global Inerdependence and Decision Sciences (ICGIDS) pp. 84-88

More information

Jarrow-Lando-Turnbull model

Jarrow-Lando-Turnbull model Jarrow-Lando-urnbull model Characerisics Credi raing dynamics is represened by a Markov chain. Defaul is modelled as he firs ime a coninuous ime Markov chain wih K saes hiing he absorbing sae K defaul

More information

Online Appendix. Using the reduced-form model notation proposed by Doshi, el al. (2013), 1. and Et

Online Appendix. Using the reduced-form model notation proposed by Doshi, el al. (2013), 1. and Et Online Appendix Appendix A: The concep in a muliperiod framework Using he reduced-form model noaion proposed by Doshi, el al. (2013), 1 he yearly CDS spread S c,h for a h-year sovereign c CDS conrac can

More information

An Analytical Implementation of the Hull and White Model

An Analytical Implementation of the Hull and White Model Dwigh Gran * and Gauam Vora ** Revised: February 8, & November, Do no quoe. Commens welcome. * Douglas M. Brown Professor of Finance, Anderson School of Managemen, Universiy of New Mexico, Albuquerque,

More information

PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER August 2012

PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER August 2012 1 Augus 212 PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER 212 In he firs quarer of 212, he annual growh rae 1 of households gross disposable income

More information

A Method for Estimating the Change in Terminal Value Required to Increase IRR

A Method for Estimating the Change in Terminal Value Required to Increase IRR A Mehod for Esimaing he Change in Terminal Value Required o Increase IRR Ausin M. Long, III, MPA, CPA, JD * Alignmen Capial Group 11940 Jollyville Road Suie 330-N Ausin, TX 78759 512-506-8299 (Phone) 512-996-0970

More information

MA Advanced Macro, 2016 (Karl Whelan) 1

MA Advanced Macro, 2016 (Karl Whelan) 1 MA Advanced Macro, 2016 (Karl Whelan) 1 The Calvo Model of Price Rigidiy The form of price rigidiy faced by he Calvo firm is as follows. Each period, only a random fracion (1 ) of firms are able o rese

More information

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each VBM Soluion skech SS 2012: Noe: This is a soluion skech, no a complee soluion. Disribuion of poins is no binding for he correcor. 1 EVA, free cash flow, and financial raios (45) 1.1 EVA wihou adjusmens

More information

BASIS RISK IN FINNISH STOCK INDEX FUTURES

BASIS RISK IN FINNISH STOCK INDEX FUTURES Lappeenrana Universiy of Technology School of Business Finance BASIS RISK IN FINNISH STOCK INDEX FUTURES Esa Koponen Bachelor s hesis Suden number 0261385 TABLE OF CONTENTS 1 INTRODUCTION... 3 2 THEORETICAL

More information

Matematisk statistik Tentamen: kl FMS170/MASM19 Prissättning av Derivattillgångar, 9 hp Lunds tekniska högskola. Solution.

Matematisk statistik Tentamen: kl FMS170/MASM19 Prissättning av Derivattillgångar, 9 hp Lunds tekniska högskola. Solution. Maemaisk saisik Tenamen: 8 5 8 kl 8 13 Maemaikcenrum FMS17/MASM19 Prissäning av Derivaillgångar, 9 hp Lunds ekniska högskola Soluion. 1. In he firs soluion we look a he dynamics of X using Iôs formula.

More information

SHB Brent Crude Oil. Index Rules. Version as of 22 October 2009

SHB Brent Crude Oil. Index Rules. Version as of 22 October 2009 SHB Bren rude Oil Index Rules Version as of 22 Ocober 2009 1. Index Descripions The SHB Bren rude Oil index (he Index ) measures he reurn from changes in he price of fuures conracs, which are rolled on

More information

The Intraday Behavior of Information Misreaction across Investor Categories in the Taiwan Options Market

The Intraday Behavior of Information Misreaction across Investor Categories in the Taiwan Options Market The Inraday Behavior of Informaion Misreacion across Invesor Caegories in he Taiwan Opions Marke Chuang-Chang Chang a, Pei-Fang Hsieh b, Chih-Wei Tang c,yaw-huei Wang d a c Deparmen of Finance, Naional

More information

Empirical analysis on China money multiplier

Empirical analysis on China money multiplier Aug. 2009, Volume 8, No.8 (Serial No.74) Chinese Business Review, ISSN 1537-1506, USA Empirical analysis on China money muliplier SHANG Hua-juan (Financial School, Shanghai Universiy of Finance and Economics,

More information

The Impact of Interest Rate Liberalization Announcement in China on the Market Value of Hong Kong Listed Chinese Commercial Banks

The Impact of Interest Rate Liberalization Announcement in China on the Market Value of Hong Kong Listed Chinese Commercial Banks Journal of Finance and Invesmen Analysis, vol. 2, no.3, 203, 35-39 ISSN: 224-0998 (prin version), 224-0996(online) Scienpress Ld, 203 The Impac of Ineres Rae Liberalizaion Announcemen in China on he Marke

More information

Constructing Out-of-the-Money Longevity Hedges Using Parametric Mortality Indexes. Johnny Li

Constructing Out-of-the-Money Longevity Hedges Using Parametric Mortality Indexes. Johnny Li 1 / 43 Consrucing Ou-of-he-Money Longeviy Hedges Using Parameric Moraliy Indexes Johnny Li Join-work wih Jackie Li, Udiha Balasooriya, and Kenneh Zhou Deparmen of Economics, The Universiy of Melbourne

More information

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator,

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator, 1 2. Quaniy and price measures in macroeconomic saisics 2.1. Long-run deflaion? As ypical price indexes, Figure 2-1 depics he GD deflaor, he Consumer rice ndex (C), and he Corporae Goods rice ndex (CG)

More information

Multiple Choice Questions Solutions are provided directly when you do the online tests.

Multiple Choice Questions Solutions are provided directly when you do the online tests. SOLUTIONS Muliple Choice Quesions Soluions are provided direcly when you do he online ess. Numerical Quesions 1. Nominal and Real GDP Suppose han an economy consiss of only 2 ypes of producs: compuers

More information

Capital Strength and Bank Profitability

Capital Strength and Bank Profitability Capial Srengh and Bank Profiabiliy Seok Weon Lee 1 Asian Social Science; Vol. 11, No. 10; 2015 ISSN 1911-2017 E-ISSN 1911-2025 Published by Canadian Cener of Science and Educaion 1 Division of Inernaional

More information

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES Workshop on moraliy and longeviy, Hannover, April 20, 2012 Thomas Møller, Chief Analys, Acuarial Innovaion OUTLINE Inroducion Moraliy risk managemen

More information

The macroeconomic effects of fiscal policy in Greece

The macroeconomic effects of fiscal policy in Greece The macroeconomic effecs of fiscal policy in Greece Dimiris Papageorgiou Economic Research Deparmen, Bank of Greece Naional and Kapodisrian Universiy of Ahens May 22, 23 Email: dpapag@aueb.gr, and DPapageorgiou@bankofgreece.gr.

More information