A System of Leading Indicators for Russia

Size: px
Start display at page:

Download "A System of Leading Indicators for Russia"

Transcription

1 26 h CIRET Conference, Taipei, Ocober 2002 Session: B2 Cyclical Indicaors for Macroeconomic Analysis - Trends, Cycles and Turning Poins A Sysem of Leading Indicaors for Russia Consrucion and Two-Years Experience of Usage Serguei V. Smirnov Absrac A sysem of leading indicaors was never compiled for pos-sovie Russia. The aricle describes he consrucion and wo-years experience of usage of he firs version of such a sysem. For daing urning poins we used a seasonally adjused indusrial producion index as a reference series. Then fory indicaors were examined, in order o decide wheher hey are or are no he leading ones. Afer esing hem agains urning poins of indusrial producion, we included seven series in our sysem of leading indicaors for Russia: [1] Effecive demand (assessmens), diffusion index (IET Surveys); [2] Socks of finished goods (assessmens), diffusion index (IET Surveys); [3] Crude oil price (Urals CIF Med); [4] Real exchange rae of he ruble; [5] Growh of inernal financial resources (assessmens), diffusion index (CEA Surveys); [6] Sock price index ( Moscow Times dollar index); [7] Real ineres rae (MIACR-overnigh). Finally we calculaed a composie leading index and a diffusion leading index. Two years experience showed ha heir behaviour as leading indicaors is quie saisfacory since January 1994 (he momen when he slump, which had been relaed o he ransformaion from a planned o a marke-oriened economy, was over). The ways for furher refining he procedure are quie obvious, oo. They are [1] consrucion of coinciden and lagging composie indices and using he coinciden index as a reference series; [2] addiion some new componens (may be wih more publishing lag) o he composie leading index. Key Words: Cyclical Indicaors, Composie and Leading Indicaors, Russia Developmen Cener, Moscow, Russia

2 26 h CIRET Conference, Taipei 2 1 Inroducion For years, no sysem of leading indicaors was compiled for pos-sovie Russia. The single and sufficien reason for his shorcoming was he coninuing indusrial recession ha looked as if would never boom ou. This recession was mainly he resul of ransformaion, or he ransiion from a planned o a markeoriened economy. I would have been odd o look for cyclical urning poins agains such a background. Moreover, he ime span of several years (no decades) was oo shor o make a disincion beween a long-erm rend and cyclical or shor-erm flucuaions. Afer 1998 financial crisis and he following economic expansion, he siuaion had changed. In he beginning of 2000, i became quie obvious ha he ransformaion had been compleed in general, and a srucural break-up was no longer a major facor in deermining economic dynamics. Long-erm rends became visible, and a cyclical reieraion of conracions and expansions became visible, oo. Therefore, we faced a se of new and inerrelaed asks, which had been impossible o solve before: o reveal expansion and conracion phases in he Russian economy afer he reforms; o precisely dae urning poins of is cycle; o consruc a sysem of leading indicaors; o calculae a composie leading index (a cerain weighed average of iniial series) and a diffusion leading index (equal o he weigh of he series wih posiive dynamics). This aricle describes in some deails he procedure of consrucion of he firs sysem of leading indicaors for Russia and sums up he experience of is wo-year regular pracical usage. 1 1 Since Sepember 2000, we have prepared and published via Inerne (see Smirnov (2000)) a monhly newsleer on he dynamics of he Composie Leading Index for Russia and all is componens. Moscow Narodny Bank (London) began o publish is purchasing managers index (PMI) for Russian manufacuring hree years before (see MNB (1997)), bu his index is no a leading one in he sense ha i doesn ge o is urning poins earlier han he economy in general does. Like all PM-indexes, he index for Russia provides a single-figure snapsho of business condiions in manufacuring wo or hree weeks earlier han official daa on indusrial oupu for he monh appear. For hose who keep in mind business cycles bu no daes of publishing, he PMI is a coinciden (no a leading) index. In April 2002, he IMF published an issue, which applies some leading indicaors for Russia (Savrev (2002)). In he meanwhile, hese calculaions have been raher occasional.

3 26 h CIRET Conference, Taipei 3 2 Key Mehodological and Saisical Issues 2.1 Choice of a Concep of Economic Cycles Consrucion of a sysem of leading indicaors may be based on wo differen conceps of economic cycle ha canno be brough ogeher. The firs deals wih he direcion of economic dynamics (going up or down, expansion or conracion), he oher deals wih is empo (going faser or slower, acceleraion or deceleraion). The firs corresponds o he classical concepion of cycles of business aciviy; he second is based on he idea of growh cycles. In he Unied Saes, urning poins are evaluaed in erms of growh and decline (in a radiion going back o he Grea Depression). Conrary o his, he OECD sysem moniors changes from periods of acceleraed growh o periods of slowing down, and vice versa (he basic idea is ha a endency owards more or less seady growh is prevailing in he world, while classical recessions marked wih decline in absolue erms are losing heir former duraion and deph). The American experience of he Grea Depression is, of course, closer o he Russian economy in is presen sae. Indeed, such quesions as a wha poin did he iniial, raher modes decline urn ino a landslide, or a wha ime did he economy ge ou of a nosedive and urn o sagnaion, are maers of ineres as such. However, now i is more han ever clear in Russia ha all he above sages are jus inner phases of he crisis. In Russia, a real (significan by inuiion) urning poin can be nohing else bu a shif from conracion o growh (or from growh o decline), no jus a slowdown or acceleraion of decline Daing of Turning Poins (Choice of a Reference Indicaor) Boh formal and informal mehods may be used for daing urning poins. An informal mehod is used in he Unied Saes. There is he Business Cycle Daing Commiee a he Naional Bureau of Economic Research, wih many leading academic scholars siing on i. The Commiee defines recession as a a period of significan decline in oal oupu, income, employmen, and rade, usually lasing from six monhs o a year, and marked by widespread conracions in many secors of he economy. The Commiee sessions decide on precise daing of a regular peak or rough in overall aciviy, upon a qualiaive analysis of all available 2 Noice ha empirical examinaion of urning poins can be done reasonably apar from heoreical and applied models, which describe he cyclical mechanism (such as waves of reiremen of fixed capial sock, Kondraiev waves, ec.). For his reason, i should be more correc o speak here no abou cycles ha imply cerain periodiciy, bu simply abou urning poins in economic siuaion.

4 26 h CIRET Conference, Taipei 4 informaion. 3 The Commiee is never oriened by he dynamics or level of any single indicaor. In paricular, defining he dae of a beginning of recession, he Commiee does no use he well-known empirical rule of wo-quarers decline in he GDP. 4 On he conrary, he OECD mehod is based on he idea of a reference series, and monhly GDP is valued as he ideal reference series. I is assumed ha a business cycle compleely reveals iself in he movemen of his indicaor, and no oher informaion is needed a all o define urning poins and phases of he cycle. However, since GDP is no compiled on a monhly basis, here is a need for some oher, proxy measure, which is moving close o he GDP. For pracical needs, he OECD uses he index of indusrial producion as a reference series. Peaks and roughs are defined in erms of his paricular indicaor, and he whole sysem of leading indicaors is consruced in correlaion wih his reference series. A he OECD, he procedure of he daing of urning poins is raher formal. I is based on comparison of acual values of he indusrial producion index wih is rend values. The poin is considered a peak when he relaion of acual value o he rends reaches a local maximum, and he poin of local minimum relaion is considered a rough. 5 Neiher he American NBER approach in is pure form (for i is hardly possible o esablish a council of auhoriaive and independen expers), nor he OECD Saisics Direcorae (because analysis of growh cycles is far from being an urgen ask) is fi for Russia. A cerain compromise is probably he bes way ou: he NBER concep of a business cycle should be applied o he OECD concep of a reference series. Since he weigh of indusry in Russian GDP is quie high (abou 25-30%), i is naural o use a seasonally adjused indusrial producion index as a reference series. 6 Local maximum poins (agains six neares monhs on boh sides) of his series may be considered peaks, and local minimum poins may be reaed as For he laes example see: NBER (2001). Indeed, wha could a commiee of economic gurus deserve if i confined is aciviy o monioring he GDP dynamics and o proclaiming ha he real GDP was declining for wo consequen quarers? The beginning of las recession in US was daed by NBER as March In he meanwhile, real GDP increased no only in he firs bu also in he second quarer of This calculaion seems o be wihin he powers of any amaeur. Well, i is no. A he OECD, hey use a special ieraive rend separaion algorihm, which is designed o handle he series wih a rend and a cyclical componen. I is impossible o be reconsruced a home. Some resricions on his approach for Russia have been revealed from wo-years experience. For deails, see Secion 4.

5 26 h CIRET Conference, Taipei 5 roughs. 7 I is also reasonable o assume ha here mus be a succession of peaks and roughs, and he ime span beween hem mus exceed half a year Selecion of Iniial Leading Indicaors In Russia, an indicaor can become a leading one in a case if, i changes he aggregae economy dynamics by shifing he demand-supply balance; i displays he expecaions of economic agens; i responds o changes in business aciviy earlier han he overall economy; i has gained recogniion as a leading indicaor in oher counries. From a pracical sandpoin, indicaors mus mee he following plain requiremens: heir flucuaions mus be cyclical (ha is, here mus be a succession of growh and decline periods); here mus be no sharp and incomprehensible jumps; he series mus be sufficienly reliable and comparable during he whole period in quesion; he informaion mus be renewed on ime (monhly and wih minimum delays agains a calendar monh). For each indicaor, which more or less mees hese requiremens, urning poins mus be found and compared wih urning poins in he economic aciviy. Noice ha no only direc bu also indirec esimaes can be used for assessmen of demand-supply balance or of expecaions. For example, demandsupply balance is direcly presened in polling liss in he daa of demand level, order books, and invenories of finished goods, and indirecly, in world oil prices, real exchange raes, curren financial siuaion of enerprises, and so on. Direc assessmens of expecaions include various survey daa, while indirec assessmens are represened in sock indices, ineres raes, numbers of newly 7 Six monhs is a cerain sandard ime span, which is required o be sure ha he observed recession (from a peak) or growh (from a rough) is serious enough o consiue a separae phase of a cycle. There should be confidence ha he nex growh (decline) is no a coninuaion of a former rend. Indeed, half of a year is nohing more han an approximae landmark.

6 26 h CIRET Conference, Taipei 6 esablished businesses, ec. The complee lis of series we have ried is given in Appendix A Calculaion of Composie Leading Index and Diffusion Index The worldwide experience shows ha a sysem consising of several leading indicaors usually displays quie an irregular picure. For his reason, here is a need o creae all-inclusive indicaors. Usually, wo indicaors are made: a composie leading index and a diffusion leading index. To unify various leading indicaors, series in a mixure of unis (billions of rubles, percens, dollars per barrel and so on) mus be given on a unified scale. For his purpose, we have used he American NBER procedure wih some modificaions. The main poin of his procedure is o equalize he differences in scale and variabiliy of iniial indicaors, and o mach he variabiliy of he composie leading index wih he variabiliy of he indusrial producion index. See a complee descripion of he calculaion procedure of he composie leading index in Appendix A3. Calculaion of a diffusion index is simple. Is value in any given momen is equal o a raio (percen) of he number of he series ha have urned for he beer in he monh in quesion o he oal number of series, which are included ino an early warning sysem. A diffusion index shows wheher growh or decline is universal, wheher i covers he overall economy or no. 3 Main Resuls for he Tuning Period 3.1. Turning poins in he Russian economic dynamics Figure 1 gives wo series: a) he iniial basic indusrial producion index (IP, NSA) calculaed from monhly chain indexes by he Federal Goskomsa 9 ; b) he seasonally adjused indusrial producion index (IP, SA). The laer indicaor is 8 9 Our paper, from he ouse, has been cenered on consrucion of a single (composie) indicaor ha should anicipae he changes in direcion of he economy. For his reason, we did no deal wih any paricular indicaor ha is coinciden or lagging a priori. The 1990 monhly daa are exrapolaed wih he index of inensiy of indusrial producion, which is calculaed by he Cenre of Economic Analyses (CEA) of he Russian Governmen.

7 26 h CIRET Conference, Taipei 7 used furher as a reference series. 10 Boh ime-series are given for he uning period (January 1990 Augus 2000). Figure 1: Turning poins for Russian indusry (he uning period) = Trough 11/92 (inermediae) 01/94 Peak 06/93 (inermediae) Peak 10/97 Trough 09/98 Trough 11/ IP, S A IP, NSA Source: Goskomsa of Russia; Developmen Cener Figure 1 also presens urning poins ha are found on formal premises, which are given in Secion 2.2. As a resul, we believe ha developmens in he Russian economic dynamics in he pas en and over years (or more precisely, during he uning period) can be divided ino he following periods: We have used he simples mehod of adjusmen: divided he iniial series values by coefficiens, which are equal o he raio of an average value of a relevan monh o he annual average. If seasonal facors are irregular, his mehod will produce incorrec resuls. For his reason, we made an evaluaion of seasonal facors using he January 1994 December 1999 daa, when seasonal facors exhibied cerain regulariy, and indusrial dynamics didn display eiher a clear upward or a clear downward rend. A shor-erm growh in December 1992 June 1993 is, mos probably, a kind of echnical correcion. Therefore, we suppose ha essenially, his period should be reaed as a random flucuaion agains a background of a longer recession.

8 26 h CIRET Conference, Taipei 8 Table 1: Business cycle reference daes for Russia (he uning period) Cycle phase Beginning End (urning poin) Duraion in monhs Indusrial producion, average monhly % change Conracion February ( November Slump February 1990 January Sagnaion February 1994 November Expansion December 1996 Ocober Conracion November 1997 Sepember Expansion Ocober ( The beginning of his conracion is no known exacly. I may have happened as early as in he firs monhs of Unil Augus 2000 Source: Developmen Cener During January 1999 Augus 2000, here were wo roughs (November 1996 and Sepember 1998) and one peak (Ocober 1997). These urning poins correspond o wo periods of conracion and wo periods of expansion. Toal duraion of conracions is 93 monhs; oal duraion of expansions is 34 monhs. 12 Time span of he firs Russian recession (a leas 82 monhs since February 1990 ill November 1996) is almos wice as long as he Grea Depression of in he Unied Saes (42 monhs), and a quarer longer han he absolue American record in he 1870s (64 monhs). The maximum conracion of indusrial oupu in Russia during his recession was 54% (exacly he same as during he Grea Depression in US). The main cause of his conracion was ransiion from a planned o a marke economy. The second Russian conracion was already marke by is naure. I was riggered by he world ( Asian ) crisis and ended in a financial collapse in Augus- Sepember The level of indusrial producion in Sepember 1998 was only 39% of January Selecion of Indicaors for he Sysem of Leading Indexes We examined fory indicaors divided ino 17 caegories (groups), in order o decide wheher hey are or are no he leading indices 13. Ou of hem, we had o rejec seven for he reason ha here was no informaion on hem excep for These figures refer o he uning period (January 1990 Augus 2000). See Appendix A1.

9 26 h CIRET Conference, Taipei 9 during a very shor period (since early 1997, or even laer), and wo ohers (he expeced growh and he expeced increase in demand, from he CEA surveys) because hey apparenly had no cyclical componens. For all he res, we defined urning poins, which were compared wih peaks and roughs of he indusrial producion index. In Appendix A2, we presen differenials (in monhs) beween urning poins of he indusrial oupu ha was fixed in he previous secion, and urning poins of all oher indicaors. On comparison of urning poins wihin each group, we chose he indicaor, which was moving ahead of he overall economic cycle in he bes possible way (we ook ino accoun pair correlaions as an addiional facor). Firs of all, le us noe ha ou of seveneen chosen groups, only eigh have he indicaors, which can be reasonably used as leading signals. I is remarkable ha all direc esimaes of any possible expecaions (here are many indicaors of his kind among survey daa) in fac, are leading nowhere. In oher words, in Russia expecaions (as far as hey are revealed by surveys), as a rule, do no come rue. A he same ime, indirec measures of expecaions (such as ineres rae and sock exchange index) have proved heir validiy as leading indicaors in acual pracice. A more careful examinaion of he chosen series shows ha dynamics of assessmens of effecive demand (IET surveys) and order books (IMEMO surveys) are quie close o each oher (no surprising since orders are one of he ways o develop demand). I should be reasonable o selec one of hese indicaors for our composie leading index. Upon some hesiaion, we decided o choose he assessmens of effecive demand. Firsly, his series has a much closer correlaion wih he indusrial producion index. Secondly, here is a lile publicaion lag for his indicaor, while he resuls of he IMEMO surveys come ino view only 40 days afer he end of each calendar monh. The laer is, honesly speaking, a purely echnical facor, bu i is criically imporan for our ask (which is o warn abou a forhcoming urn of rends as early as possible). Finally, well-imed publicaion of daa was our crierion of choice of series on such caegories as socks of finished goods and curren financial condiion. In boh caegories, we preferred he IET and CEA survey series o he indicaors of he Russian Economic Baromeer, hough he former may be no beer in oher respecs han he laer The Sysem of Leading Indicaors for Russia Finally, we included seven series in our sysem of leading indicaors for Russia (see Table 2). Their behavior as leading indicaors is quie saisfacory since January 1994 or since he momen when he slump, which had been relaed o he ransformaion from a planned o a marke-oriened economy, was over.

10 26 h CIRET Conference, Taipei 10 Table 2: The Sysem of Leading Indicaors for Russia Assessmens of effecive demand (% of normal level), diffusion index (IET) (5 Assessmens of socks of finished goods (% of normal level), diffusion index (IET) (5,6 Crude oil price (Urals brand, CIF (Medierranean), $/barrel Real exchange rae of he ruble (1996 ruble/$) Assessmens of growh in inernal financial resources of indusrial enerprises, diffusion index (CEA) Sock price index («Moscow Times» dollar index) Real ineres rae (MIACR-overnigh), % per annum (6,9 Composie leading index (CLI) Iniial poin Publicaion lag (days) (1 «Exra» urning poins (numbe r) (2 09/ T-1 P-1 01/ T-1 P-2 05/90 0 T-0 P-0 01/ (7 T-0 P-1 05/95 0 T-0 P-0 09/94 0 T-0 P-1 10/ (7 T-0 P-1 10/ (7 T-0 P-0 «Lacking» urning poins (number) (2 T-0 P-0 T-0 P-0 T-0 P-0 T-1 P-1 T-0 P-0 T-0 P-0 T-0 P-0 T-0 P-0 Average leading ime (monhs) (2,3 «Weigh» of 1% symmeric incremen in CLI (4 3 0, ,213 (8 15 0, , , , ,031 (8 4 - «T» - rough, «P» - peak. 1. Number of days from he end of a calendar monh o a publicaion of daa. The publicaion lag of he indusrial producion index is days. 2. A he January 1994 Augus 2000 period or since he sar of publicaions. 3. Calculaed from Appendix A2. A he specified average, lags of some indicaors are widely dispersed. 4. For definiion see Appendix A3. Weigh of each indicaor in he composie index was calculaed as inverse value of he sandard deviaion of symmeric incremens (for socks of finished goods and he real ineres rae, wih negaive sign). The sandard deviaion was evaluaed a he January 1995 December 1999 inerval. 5. The IET daa are recalculaed ino diffusion indices, for he sake of comparabiliy wih oher survey daa, and also in order o avoid negaive values. 6. To idenify peaks and roughs, he indicaor was aken wih a reversed sign. 7. Equal o he publicaion lag of he CPI. 8. The negaive weigh corresponds o he fac ha growh (decline) in he indicaor precedes he decline (growh) in indusrial producion. 9. To avoid negaive numbers, which make he calculaion of symmeric incremens senseless, we added a consan equal o 350 o he iniial daa. Source: Developmen Cener

11 26 h CIRET Conference, Taipei 11 Effecive demand, % of normal level (IET Surveys) is perhaps he bes of all indicaors o perform he funcion of a leading index. I is moving very closely o he indusrial producion index, bu several monhs ahead of he laer a urning poins. On he conrary, almos no direc correlaion of indusrial producion and world oil prices is acually observed. For example, in , oil prices were going up, while indusrial oupu was going down, and in 1997, he opposie was rue. On he oher hand, i s a common view ha he level of oil prices has i effec on he Russian economy in he longer run (wih greaer lags). For his reason, we did include his indicaor ino he sysem of leading indicaors The Composie Leading Index for Russia The resuls of calculaion of our composie leading index for he uning period are oulined in Figure 2. Figure 2: Index of Indusrial Producion (IP) and Composie Leading Index (CLI), January 1995 Augus / = /97 07/ /96 Trough 11/96 Peak 10/97 Trough 09/ CLI IP, SA Source: Developmen Cener

12 26 h CIRET Conference, Taipei 12 The major resul is ha he composie leading index, which we have offered, in fac goes ahead of he business cycle. 14 The value of he lead (someimes only wo monhs) is no so grea. However shorened ime horizons are very much ypical of he presen-day Russian economy. 15 And more, i is no jus a lag or a lead a urning poins ha maers here. For example, he peak of he indusrial producion index in 1997 lagged behind he peak of he composie leading index by jus wo monhs. Wihou a doub, a ha ime, in he fall of 1997, i was hardly possible o precisely dae he peak, or he urning poin o he nex phase of indusrial conracion. Bu le us look a he siuaion as i appeared, say, in April Then, he indusrial producion index of he las six monhs wen down from is peak by jus 2.8%, while he composie leading index declined by 10.6%. In oher words, dynamics of indusrial producion gave no definie sign of he forhcoming downurn, while dynamics of composie leading index showed ha he downurn was inescapable. More or less he same is rue abou he rough of Sepember A ha momen, indusrial oupu wen down, and a furher conracion could be expeced. However, he composie leading index wen up (for he second consecuive monh, afer a lenghy decline), showing ha he urn o growh was jus around he corner. Since spring 2000, coninued growh in he CLI has salled, suggesing ha high-growh phase in indusrial producion may soon come o an end. Unil auumn 2000, he dynamics of indusrial producion by iself gave no grounds for such pessimism Diffusion Leading Index for Russia A char of our diffusion leading index shows ha, since February 2000, as a rule, less han half of he leading indicaors improved every monh. A comparison of he diffusion index wih he incremen in he composie leading index expressed as a percenage shows ha boh indicaors measure approximaely he same hings. Indeed, all oher facors being equal, he more indicaors show ha he siuaion is improving, he faser he composie index grows Till May 1995, he composie leading index was consruced from six series only (CEA surveys didn exis). In he inernaional pracice, a hree-monh inerval is considered a shor erm, while in Russia, i is raher a long erm.

13 26 h CIRET Conference, Taipei 13 Figure 3: Diffusion Leading Index (DLI), January 1995 Augus Percens Source: Developmen Cener 4 Two-years Experience of Pracical Usage Almos wo years have passed since Augus 2000, and we have accumulaed sufficien empirical daa o assess he pracical applicabiliy of our composie leading index for forecasing urning poins for he Russian economy. Moreover, cerain conclusions can be drawn abou he difficulies encounered in he on-line applicaion of his insrumen. Among undeniable meris of he composie leading index, we shall menion ha i has clearly designaed wo raher shor conracions in he Russian indusrial producion in Augus 2000 December 2000 and in Augus 2001 February The firs was never deeced even by preliminary direc daa on indusrial producion compiled by Goskomsa. This conracion became visible only upon he annual revision of he Goskomsa daa in May 2001, five monhs afer i had been over. The second conracion ha sared in he second half of 2001 was also pracically invisible by iself unil December A ha ime, a decline in he composie leading index pu emphasis on he downward rend in indusrial oupu. Among he demeris of he composie leading index, we shall refer o is failure o cach a period of indusrial expansion in January Augus The value of he composie leading index kep acually unchanged, while he volume of indusrial producion expanded by 16.7% in his period.

14 26 h CIRET Conference, Taipei 14 Figure 4: Revisions of Indusrial Producion Index and Daing of Turning Poins, January 1999 May Peak 08/ = Peak 08/00 Trough 12/00 Trough 02/ CLI IP afer revision in May 2001 IP before revision in May 2001 Source: Developmen Cener On he oher hand, here is no reason a all in aemps o make he composie leading index as close as possible o he dynamics of indusrial producion. Pracical experience has already shown ha a reasonable on-line daing of urning poins on a sole base of index of indusrial producion (which is our reference indicaor) is a very difficul ask, because Goskomsa ends o make large-scale a poseriori revisions of he daa. As seen from Figure 4, annual revisions change he characerisics of indusrial oupu ime-series quie subsanially, affecing even he presence or absence of urning poins. The way ou of his dead end can be found in compilaion of a sysem of coinciden indicaors and in applicaion of he composie coinciden index as a reference indicaor. As for componens of he composie leading index, none of hem has proved o be unnecessary bu some of hem may be reasonably correced. For example, in a case we rely on an index Share of companies having socks above normal level insead of he diffusion index Socks, % of normal level, we could beer inerpre he correlaion beween changes in invenories and in volumes of indusrial producion. A seasonal adjusmen of indicaor Growh in inernal financial resources of indusrial enerprises could allow us o assess curren financial condiion of enerprises wih higher degree of cerainy.

15 26 h CIRET Conference, Taipei 15 We also believe here is a need o expand he number of componens in he composie leading index. Generally speaking, seven componens are no so few, bu in recen years, wo of hem (he real exchange rae of he ruble and he real ineres rae) were making a nex o zero conribuion o he composie leading index. This is a reflecion of economic realiy (he rae of real appreciaion of he ruble is acually quie low, and ineres rae flucuaions are negligible by hisorical measure); bu his makes he variabiliy of he diffusion leading index oo low. As a resul, pracice of applicaion of our diffusion leading index for exploraion of urning poins in economic aciviy is problemaical. 5 Conclusions In is presen form, he composie leading index for Russia allows o foresee changes in he economic aciviy, hough in a very general shape. However, is abiliy o forecas is far from being accurae enough no o call for improvemens in he echnique of is calculaion. Main direcions for furher developmen of he sysem of leading indicaors are also quie clear. In he firs place, a sysem of leading indicaors should be supplemened wih a sysem of coinciden and lagging indicaors. In fuure, a composie coinciden index will be a beer opion as a reference indicaor ha he index of indusrial producion. The index of indusrial producion, as Goskomsa calculaes i, is prone o subsanial revisions ha someimes may even change he qualiaive picure of ongoing changes (o say nohing of such deails as accurae daing of urning poins). In he second place, along wih he developmen of coinciden and lagging indexes here is good reason o upgrade he composie leading index, mosly wih inclusion of some new componens and wih a cerain refining in he old se of leading indicaors. In choosing he array of indicaors, more accuracy in he forecasing of urning poins may be a beer crierion han less publishing lag. I would be worhwhile o use he experience of Japan where imely provisional esimaion of a composie leading index is based on a par of is componens and hen is updaed as soon as he daa for oher componens arrive. Finally, all he ime-series wih a seasonal componen should be adjused for seasonal flucuaions wih a sandard and use-proved echnique (such as American X-12-ARIMA or European Tramo/Seas). We can hope ha upon his rearrangemen, our composie leading index for Russia will become a sill more valuable ool for foreseeing he coming urns in economic aciviy.

16 26 h CIRET Conference, Taipei 16 References Moscow Narodny Bank (1997): Purchasing Managers Index. Monhly Newsleer. hp://www2.mosnar.com/dynamic/pmi.asp?sec=1&crl_mode=archive Naional Bureau of Economic Research (2001): The Business-Cycle Peak of March hp:// Smirnov, Serguei (2000): Composie Leading Index for Russia. Monhly Newsleer. hp:// Savrev, Emil (2002): Growh Afer he 1998 Crisis. In: IMF. Russian Federaion: Seleced Issues and Saisical Appendix. hp://

17 26 h CIRET Conference, Taipei 17 Appendices A1 Reference Series and Poenial Leading Indicaors Indicaor (source) 1 Possible reasons for moving ahead of he overall economic cycle REFERENCE SERIES Indusrial producion: Indusrial producion index (seasonally adjused), 1996 = 100 (GKS) DEMAND AND SUPLY: direc esimaes and indicaors Measuremen of produc demand: A) Growh in effecive demand (IET) 2,3 B) Growh in demand (CEA) 2 C) Effecive demand (assessmens), % of normal level (IET) 2,3 D) Demand, % of normal level (CEA) 2 Consumer demand: A) Index of curren condiions (CSI Fund) 4 B) Number of new passenger cars regisered in Moscow ( Segodnya daily newspaper) Reference series, presumably synchronized wih he overall economic cycle. In he absence of resource consrains, changes in demand lead o growh in supply. However, his does no happen immediaely, bu wih a cerain ime lag (due o echnological ineria in producion) Revival of demand for consumer durables, for cars in paricular, leads o growh in supply of consumer goods, and laer, on all echnological feedbacks, o a overall economic revival. Orders for indusrial producs: A) REB-7: Indusry order-book level, % rising over 1-monh span (IMEMO) 2 B) REB-17: Indusry order-book level, % of normal level (IMEMO) C) Provision of enerprises wih orders, monhs (GKS) Exra orders for indusrial producs show ha demand is growing, o be followed wih increase in oupu Socks of finished producs: A) REB-8: Socks of indusrial producs, % rising over 1-monh span (IMEMO) 2 B) REB-16: Socks of indusrial producs, % of normal level (IMEMO) C) Socks, % of normal level (IET) 2,3 D) Socks, % of normal level (CEA) 2 E) Socks of finished goods, % of commodiy resources (GKS) Growing socks of producers goods show ha sales are difficul. In his siuaion, producers should adjus heir oupu downward. Hence, here is an inverse relaion wih oupu: growing socks of finished goods precede a decline in oupu.

18 26 h CIRET Conference, Taipei 18 DEMAND AND SUPPLY: indirec esimaes and indicaors Crude oil prices: Urals brand (CIF, Medierranean), $/barrel (Reuers) Large-scale inflow of oil dollars leads o higher effecive demand of governmen, producers and consumers (along wih rising wages). On he conrary, declining earnings from expors leads o lower effecive demand. Real exchange rae of he ruble: Official exchange rae of he ruble in 1996 prices (1996 ruble/$). (CBR, GKS) 5 Appreciaion of he ruble has an adverse effec on expor performance and increases impor compeiion. On he conrary, depreciaion of he ruble encourages domesic producers and increases domesic demand for home producs. Money supply: A) Money sock M 2, billion rubles a 1996 prices (CBR) 5 B) Reserve money, billion rubles a 1996 prices (CBR) 5 Increased (o a cerain exen) supply of money encourages producer and consumer demand. Curren financial condiion: A) REB-19: Share of enerprises in good or normal financial condiion, % (IMEMO) B) Profis growh (CEA) 2 C) Growh in inernal financial resources of enerprises (CEA) 2 D) Moneary resources of indusrial enerprises, billion rubles a 1996 prices (GKS) 6 E) Deposis of enerprises (nominaed in rubles), billion rubles a 1996 prices (CBR) 6 F) Non-cash money (M 2 -M 0 ), billion rubles a 1996 prices (CBR) 6 G) Profis, % of oupu (indusry), (GKS) H) General assessmen of economic siuaion (CEA) 2 Financial well-being leads o exra demand for indusrial producs. Improvemen of financial condiion can precede he general economic revival (for example, due o increases in creaion of money by moneary auhoriies).

19 26 h CIRET Conference, Taipei 19 EXPECTATIONS: direc esimaes and indicaors Consumers expecaions: Index of consumers expecaions (CSI Fund) 4 Displays consumers expecaions. If hey are followed wih acual changes in consumer demand, furher adjusmen of oupu is ineviable. Expeced producion growh: A) REB-26: Anicipaed growh in oupu (over 3-monhs spans), (IMEMO) 2 B) Anicipaed growh (over 2-3-monhs spans) (IET) 2,3 C) Anicipaed growh (CEA) 2 Displays producers expecaions. This indicaor, so o say, mus lead acual changes in oupu volume by definiion. Expeced change in financial condiion: A) REB-28: Anicipaed improvemen in financial siuaion (over 3 monhs spans), indusry (IMEMO) 2 B) Anicipaed increase in profis (CEA) 2 C) Anicipaed growh in inernal financial resources (CEA) 2 Displays producers expecaions for macroeconomic changes. Esimae of anicipaed demand: A) Anicipaed change in demand (over 2-3- monhs spans) (IET) 2,3 B) Anicipaed growh in demand (CEA) 2 Displays producers expecaions for poenial sales. EXPECTAIONS: indirec esimaes and indicaors Sock price index: «Moscow Times» dollar index (Reuers) 7 Displays invesors (chiefly foreign) expecaions of macroeconomic changes. Moreover, leaps in marke capializaion of companies may provoke adjusmens of invesors decision, which in urn, lead o changes in volumes of oupu. Foreign exchange reserves: Foreign exchange reserves a he Bank of Russia (gold excluded), $ billion (CBR) A sharp decline in foreign exchange reserves, backed by negaive expecaions of foreign invesors, can lead a decline in he real secor, for financial markes have less ineria.

20 26 h CIRET Conference, Taipei 20 Bank lending o he real secor: Claims of credi insiuions on enerprises and individuals, billion rubles a 1996 prices (CBR) 6 Volume of lending o he real secor and households displays expecaions of commercial banks for macroeconomic changes. Moreover, banks lending for invesmen programs leads o oupu growh. New sar-ups: Newly esablished enerprises regisered, by 1000 a he Unified Public Enerprise Regiser (GKS) Increase in he number of sar-ups for covering fuure demand display anicipaions of enrepreneurs. Level of real ineres raes: MIACR-overnigh real rae, % per annum (CBR) 8 Rising ineres raes show ha risk levels in he economy are growing, declining raes show ha hey are sabilizing. Decisions o increase oupu volumes can be expeced in he laer case raher han in he former case. Besides, high ineres raes hold banks lending back, also hampering expansion of oupu. Hence, here is an inverse relaion wih oupu: rising real ineres raes lead o decline in oupu. 1. Full names of sources: CBR he Cenral Bank of Russia; GKS Goskomsa (he Cenral Saisical Commiee of he Russian Federaion); CEA Cenre for Economic Analysis under he Russian Governmen; IMEMO Insiue of World Economy and Inernaional Relaions, Russian Academy of Sciences (he Russian Economic Baromeer Bullein); IET Insiue for he Economy in Transiion (he Russian Bullein of Conjuncure Surveys. Indusry); CSI Fund Consumer Senimen Index Fund. 2. Diffusion Index. 3. Iniial dae are given by IET in a forma of balance indicaors (B, a balance of posiive and negaive responds, in % of he oal number of respondens). We have recalculaed hem in he forma of diffusion indexes (D, a sum of posiive and a half of neural responds, in % of he oal number of respondens) by D = 0.5 (100+B) formula. This procedure increases comparabiliy wih oher surveys, bu wha is more, i allows avoiding negaive numbers, which lead o considerable echnical difficulies a saisical handling of ime series. 4. Since March Index of consumer senimen and he wo of is componens (Index of curren condiions and Index of consumer expecaions) are published bimonhly. For our calculaions, we obained he missing monhly daa wih linear inerpolaion. Clearly, definiion of urning poins requires being especially accurae in his case. 5. Deflaed by consumer price index (1996=100). 6. Deflaed by producer price index (1996=100). 7. Recalculaed from he ruble index wih division by he official exchange rae of he dollar. 8. Nominal rae, less he monhly incremen in consumer prices, annualized.

21 26 h CIRET Conference, Taipei 21 A2 Leading over (+) or lagging behind (-) he index of indusrial producion (January 1990 Augus 2000) Indicaors and sources 2 Iniial T 4 poin 3 11/92 P 4 06/93 T 5 - P 5 - T 11/96 P 10/97 Growh in effecive demand 06/95 n.a. n.a. n.a. X (IET) Effecive demand 09/92-6 X X (assessmens), diffusion index (IET) Demand, % of normal level 05/95 n.a. n.a. n.a. X (CEA) Consumer senimen index, 01/93 n.a. - - X curren condiions (CSI Fund) REB-7: Indusry order-book 01/ X X level (percen rising over 1- monh spans), diffusion index (IMEMO) REB-17: Indusry orderbook 01/93 n.a. 4 X X level, % of normal level (IMEMO) REB-8: Socks of finished 01/ X X indusrial producs (percen rising over 1-monh spans), diffusion index (IMEMO) 6 REB-16: Socks of finished 01/93 n.a. - X X indusrial producs, % of normal level (IMEMO) 6 Socks of finished goods 09/92 n.a. 2 X X (assessmens), diffusion index (IET) 6 Socks, % of normal level 05/95 n.a. n.a. n.a. n.a (CEA) 6 Crude oil price, Urals brand 05/ (CIF, Medierranean), $/barrel Real exchange rae of he 01/ ruble (1996 ruble/$) Money sock M 2, a /94 n.a. n.a. n.a prices Reserve money, a /95 n.a prices REB-19: Share of indusrial 01/93 n.a. 3 X X enerprises in good or normal financial condiion (IMEMO) Growh in inernal financial resources of enerprises 05/95 n.a. n.a. n.a T 09/98

22 26 h CIRET Conference, Taipei 22 (assessmens), diffusion index (CEA) Moneary resources of 01/ indusrial enerprises, a 1996 prices Deposis of enerprises (in 12/94 n.a. n.a. n.a. n.a rubles), a 1996 prices Non-cash money (M 2 - M 0 ), 12/94 n.a. n.a. n.a. n.a a 1996 prices Profis (less losses), % of 12/ X X oupu General assessmen of 05/95 n.a. n.a. n.a. n.a economic siuaion (CEA) Consumer senimen index, 01/93 n.a expecaions (CSI Fund) REB-26: Anicipaed 04/ X X indusrial oupu (percen rising over 3-monhs spans) (IMEMO), diffusion index Anicipaed growh (in a /92 n.a. 5 X X monhs span) (IET) REB-28: Anicipaed 02/93 n.a. 4 X X improvemen in financial siuaion, indusry (percen improving over 3-monhs spans), diffusion index (IMEMO) Anicipaed growh in 05/95 n.a. n.a. n.a. n.a inernal financial resources (CEA) Anicipaed change in demand (IET) 10/95 n.a. n.a. n.a. n.a Sock price index («Moscow 09/94 n.a. n.a. X X Times» dollar index) Foreign exchange reserves 03/96 n.a. n.a. n.a. n.a a he Bank of Russia (gold excluded), $ billion. Claims of credi insiuions 06/95 n.a. n.a. n.a. n.a on enerprises and individuals, a 1996 prices Real ineres rae (MIACRovernigh), % per annum 6 10/94 n.a. n.a. n.a «T» - rough, «P» peak of he indusrial producion index; n.a. non-available; X «false» or «exra» peak or rough; «-» - a urning poin missing. 1. Agains peaks and roughs of indusrial producion index. 2. Whole names of series and sources are given in he noes o he Appendix A1. 3. The momen when regular monhly daa became available. 4. Inermediae urning poins of indusrial producion index for which some oher indicaors have corresponding urning poins. 5. In he second half of 1994 firs half of 1995, a range of indicaors had exra urning poins (a rough and a peak) which had no corresponding urning poins of he indusrial producion index. 6.Before daing of urning poins, he indicaor is aken wih a reversed sign. Source: Developmen Cener

23 26 h CIRET Conference, Taipei 23 A3 Calculaion of he Composie Leading Index 1. Symmerical monhly incremens x i ( presen insan of ime) are i calculaed for all seleced leading indicaors X (i - he series number): x i i ( X - X = 200 i ( X + X ) ) i -1 i 1 Symmerical incremens (as disinc from regular incremens) have a characerisic qualiy ha equal percen changes in opposie direcions, observed in wo consequen insans of ime, in sum, bring abou he iniial level of he i indicaor X. i 2. Average values x av and sandard deviaions s i of he obained incremen series are calculaed (n - he number of monhs in he basic period): x i av = å x n i s i å i ( x x = ( n 1) i av ) 3. For each, he averaged incremen g is calculaed, as well as i average and sandard deviaion (m - he number of iniial indicaors) 16: g g av = = å i i ( x / s ) m å n g s g å ( g g = n 1 av ) 4. Seps 1-2 are performed for indusrial producion indexes Y. The resuls y are he average ( y av ) and he sandard deviaion ( s ) of he incremen series. 16 In combining sandardised series, differences in heir lag srucure are no aken ino accoun.

24 26 h CIRET Conference, Taipei 24 5.The g indicaor is adjused so ha is volailiy should be equal o he volailiy of incremens in he indusrial producion index. G = g s s y g 6. Values of he composie leading index Z are calculaed by a recursion formula (going back from incremens o he aggregae): Z Z 1 (200 + G1) = (200 G ) = Z 1 1 (200 + G ) (200 G ) 7. The obained index Z is adjused o he base of indusrial producion index (1996 = 100). To do so, we divide all values of Z by he average monhly level of 1996, and muliplied by 100. As a resul, he composie leading index has he common base wih he indusrial producion index, and symmerical incremens of he wo indicaors have he same volailiy.

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

(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

Supplement to Chapter 3

Supplement to Chapter 3 Supplemen o Chaper 3 I. Measuring Real GD and Inflaion If here were only one good in he world, anchovies, hen daa and prices would deermine real oupu and inflaion perfecly: GD Q ; GD Q. + + + Then, he

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

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

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

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

Macroeconomics. Typical macro questions (I) Typical macro questions (II) Methodology of macroeconomics. Tasks carried out by macroeconomists

Macroeconomics. Typical macro questions (I) Typical macro questions (II) Methodology of macroeconomics. Tasks carried out by macroeconomists Macroeconomics Macroeconomics is he area of economics ha sudies he overall economic aciviy in a counry or region by means of indicaors of ha aciviy. There is no essenial divide beween micro and macroeconomics,

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. 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

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

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017 GUIDELINE Solacive Gold Fron Monh MD Rolling Fuures Index ER Version 1.1 daed April 13 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

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

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

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

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

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

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory UCLA Deparmen of Economics Fall 2016 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and you are o complee each par. Answer each par in a separae bluebook. All

More information

Bank of Japan Review. Performance of Core Indicators of Japan s Consumer Price Index. November Introduction 2015-E-7

Bank of Japan Review. Performance of Core Indicators of Japan s Consumer Price Index. November Introduction 2015-E-7 Bank of Japan Review 5-E-7 Performance of Core Indicaors of Japan s Consumer Price Index Moneary Affairs Deparmen Shigenori Shirasuka November 5 The Bank of Japan (BOJ), in conducing moneary policy, employs

More information

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017 GUIDELINE Solacive Bicoin Fron Monh Rolling Fuures 5D Index ER Version 1.0 daed December 8 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model.

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model. Macroeconomics II A dynamic approach o shor run economic flucuaions. The DAD/DAS model. Par 2. The demand side of he model he dynamic aggregae demand (DAD) Inflaion and dynamics in he shor run So far,

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

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

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

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

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

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

The Japanese System of National Accounts (JSNA) and Related Challenges

The Japanese System of National Accounts (JSNA) and Related Challenges The Japanese Sysem of Naional Accouns (JSNA) and Relaed Challenges (For ESRI meeing on he JSNA, March 24, 2005) Deparmen of Naional Accouns Economic and Social Research Insiue, Cabine Office of Japan 1.

More information

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T. J. KEHOE MACROECONOMICS I WINTER 2011 PROBLEM SET #6

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T. J. KEHOE MACROECONOMICS I WINTER 2011 PROBLEM SET #6 CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS T J KEHOE MACROECONOMICS I WINTER PROBLEM SET #6 This quesion requires you o apply he Hodrick-Presco filer o he ime series for macroeconomic variables for he

More information

Session 4.2: Price and Volume Measures

Session 4.2: Price and Volume Measures Session 4.2: Price and Volume Measures Regional Course on Inegraed Economic Saisics o Suppor 28 SNA Implemenaion Leonidas Akriidis Office for Naional Saisics Unied Kingdom Conen 1. Inroducion 2. Price

More information

Unemployment and Phillips curve

Unemployment and Phillips curve Unemploymen and Phillips curve 2 of The Naural Rae of Unemploymen and he Phillips Curve Figure 1 Inflaion versus Unemploymen in he Unied Saes, 1900 o 1960 During he period 1900 o 1960 in he Unied Saes,

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

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

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

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

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

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

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

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

Output: The Demand for Goods and Services

Output: The Demand for Goods and Services IN CHAPTER 15 how o incorporae dynamics ino he AD-AS model we previously sudied how o use he dynamic AD-AS model o illusrae long-run economic growh how o use he dynamic AD-AS model o race ou he effecs

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

STATIONERY REQUIREMENTS SPECIAL REQUIREMENTS 20 Page booklet List of statistical formulae New Cambridge Elementary Statistical Tables

STATIONERY REQUIREMENTS SPECIAL REQUIREMENTS 20 Page booklet List of statistical formulae New Cambridge Elementary Statistical Tables ECONOMICS RIPOS Par I Friday 7 June 005 9 Paper Quaniaive Mehods in Economics his exam comprises four secions. Secions A and B are on Mahemaics; Secions C and D are on Saisics. You should do he appropriae

More information

Economic Growth Continued: From Solow to Ramsey

Economic Growth Continued: From Solow to Ramsey Economic Growh Coninued: From Solow o Ramsey J. Bradford DeLong May 2008 Choosing a Naional Savings Rae Wha can we say abou economic policy and long-run growh? To keep maers simple, le us assume ha he

More information

Reconciling Gross Output TFP Growth with Value Added TFP Growth

Reconciling Gross Output TFP Growth with Value Added TFP Growth Reconciling Gross Oupu TP Growh wih Value Added TP Growh Erwin Diewer Universiy of Briish Columbia and Universiy of New Souh Wales ABSTRACT This aricle obains relaively simple exac expressions ha relae

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

Forecast Evaluation of Economic Sentiment Indicator for the Korean Economy*

Forecast Evaluation of Economic Sentiment Indicator for the Korean Economy* Forecas Evaluaion of Economic Senimen Indicaor for he Korean Economy* Hyejung Moon and Jungick Lee 2 Absrac The economic senimen indicaor (ESI) for he Korean economy is recenly developed by combining he

More information

GDP: Production and Income Data published since 1947

GDP: Production and Income Data published since 1947 GDP: Producion and Income Daa published since 1947 GDP is he marke value of all final goods and services produced wihin a counry in a given period of ime. GDP is he sum of value added in he economy during

More information

Finance Solutions to Problem Set #6: Demand Estimation and Forecasting

Finance Solutions to Problem Set #6: Demand Estimation and Forecasting Finance 30210 Soluions o Problem Se #6: Demand Esimaion and Forecasing 1) Consider he following regression for Ice Cream sales (in housands) as a funcion of price in dollars per pin. My daa is aken from

More information

Proposed changes to the compilation of zone aggregates for monetary aggregates and other variables in the OECD Main Economic Indicators publication

Proposed changes to the compilation of zone aggregates for monetary aggregates and other variables in the OECD Main Economic Indicators publication Proposed changes o he compilaion of zone aggregaes for moneary aggregaes and oher variables in he OECD Main Economic Indicaors publicaion Summary The Main Economic Indicaors (MEI) has radiionally published

More information

External balance assessment:

External balance assessment: Exernal balance assessmen: Balance of paymens Macroeconomic Analysis Course Banking Training School, Sae Bank of Vienam Marin Fukac 30 Ocober 3 November 2017 Economic policies Consumer prices Economic

More information

The Death of the Phillips Curve?

The Death of the Phillips Curve? The Deah of he Phillips Curve? Anhony Murphy Federal Reserve Bank of Dallas Research Deparmen Working Paper 1801 hps://doi.org/10.19/wp1801 The Deah of he Phillips Curve? 1 Anhony Murphy, Federal Reserve

More information

THE USE OF QUALITATIVE INFORMATION FOR FORECASTING EXPORTS *

THE USE OF QUALITATIVE INFORMATION FOR FORECASTING EXPORTS * Aricles Winer 2006 THE USE OF QUALITATIVE INFORMATION FOR FORECASTING EXPORTS * Fáima Cardoso** Cláudia Duare** 1. INTRODUCTION The analysis of he evoluion of exernal rade, in paricular of expors, is very

More information

Spring 2011 Social Sciences 7418 University of Wisconsin-Madison

Spring 2011 Social Sciences 7418 University of Wisconsin-Madison Economics 32, Sec. 1 Menzie D. Chinn Spring 211 Social Sciences 7418 Universiy of Wisconsin-Madison Noes for Econ 32-1 FALL 21 Miderm 1 Exam The Fall 21 Econ 32-1 course used Hall and Papell, Macroeconomics

More information

Session IX: Special topics

Session IX: Special topics Session IX: Special opics 2. Subnaional populaion projecions 10 March 2016 Cheryl Sawyer, Lina Bassarsky Populaion Esimaes and Projecions Secion www.unpopulaion.org Maerials adaped from Unied Naions Naional

More information

*Corresponding author Keywords: CNH, Currency Intervention Index, Central Bank Reaction Function, Exchange Rate Intervention.

*Corresponding author Keywords: CNH, Currency Intervention Index, Central Bank Reaction Function, Exchange Rate Intervention. 016 3rd Inernaional Conference on Advanced Educaion and Managemen (ICAEM 016) ISBN: 978-1-60595-380-9 Exchange Rae Inervenion by Cenral Bank: Based on he Influence of he Hong Kong Offshore RMB Exchange

More information

THE USE OF CHAIN INDICES IN THE NETHERLANDS. Sake de Boer. Jan van Dalen. Piet Verbiest

THE USE OF CHAIN INDICES IN THE NETHERLANDS. Sake de Boer. Jan van Dalen. Piet Verbiest THE USE OF CHAIN INDICES IN THE NETHERLANDS Sake de Boer Jan van Dalen Pie Verbies December, 1996 Paper o be presened a he Conference on Measuremen problems and economeric modeling, Isiuo Nazionale di

More information

MONETARY POLICY IN MEXICO. Monetary Policy in Emerging Markets OECD and CCBS/Bank of England February 28, 2007

MONETARY POLICY IN MEXICO. Monetary Policy in Emerging Markets OECD and CCBS/Bank of England February 28, 2007 MONETARY POLICY IN MEXICO Moneary Policy in Emerging Markes OECD and CCBS/Bank of England February 8, 7 Manuel Ramos-Francia Head of Economic Research INDEX I. INTRODUCTION II. MONETARY POLICY STRATEGY

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

An Analysis of Trend and Sources of Deficit Financing in Nepal

An Analysis of Trend and Sources of Deficit Financing in Nepal Economic Lieraure, Vol. XII (8-16), December 014 An Analysis of Trend and Sources of Defici Financing in Nepal Deo Narayan Suihar ABSTRACT Defici financing has emerged as an imporan ool of financing governmen

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

IV. Special Research of Financial Stability. 8. Methods of Financial Stability Risks Assessment Risk Assessment Map

IV. Special Research of Financial Stability. 8. Methods of Financial Stability Risks Assessment Risk Assessment Map IV. Special Research of Financial Sabiliy 8. Mehods of Financial Sabiliy Risks Assessmen Risk Assessmen Map To ensure financial sabiliy, regular monioring and analysis of various vulnerabiliy facors and

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

National saving and Fiscal Policy in South Africa: an Empirical Analysis. by Lumengo Bonga-Bonga University of Johannesburg

National saving and Fiscal Policy in South Africa: an Empirical Analysis. by Lumengo Bonga-Bonga University of Johannesburg Naional saving and Fiscal Policy in Souh Africa: an Empirical Analysis by Lumengo Bonga-Bonga Universiy of Johannesburg Inroducion A paricularly imporan issue in Souh Africa is he exen o which fiscal policy

More information

BUDGET ECONOMIC AND FISCAL POSITION REPORT

BUDGET ECONOMIC AND FISCAL POSITION REPORT BUDGET ECONOMIC AND FISCAL POSITION REPORT - 2004 Issued by he Hon. Miniser of Finance in Terms of Secion 7 of he Fiscal Managemen (Responsibiliy) Ac No. 3 of 1. Inroducion Secion 7 of he Fiscal Managemen

More information

Fiscal policy & public debt.

Fiscal policy & public debt. Fiscal policy & public deb. Plan of oday s lecure Definiions Public deb dynamics Fiscal policy & aggregae demand a shor reminder. The size of he public secor in XX cenury. Kraj 93 920 937 960 970 980 990

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

Advanced Forecasting Techniques and Models: Time-Series Forecasts

Advanced Forecasting Techniques and Models: Time-Series Forecasts Advanced Forecasing Techniques and Models: Time-Series Forecass Shor Examples Series using Risk Simulaor For more informaion please visi: www.realopionsvaluaion.com or conac us a: admin@realopionsvaluaion.com

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

Taking the Economic Pulse: An Improved Tool to Help Track Economic Cycles in Canada

Taking the Economic Pulse: An Improved Tool to Help Track Economic Cycles in Canada Insiu C.D. HOWE Insiue Conseils indispensables sur les poliiques July 26, 2016 BUSINESS CYCLE Taking he Economic Pulse: An Improved Tool o Help Track Economic Cycles in Canada by Jeremy Kronick Policymakers

More information

A Theory of Tax Effects on Economic Damages. Scott Gilbert Southern Illinois University Carbondale. Comments? Please send to

A Theory of Tax Effects on Economic Damages. Scott Gilbert Southern Illinois University Carbondale. Comments? Please send to A Theory of Tax Effecs on Economic Damages Sco Gilber Souhern Illinois Universiy Carbondale Commens? Please send o gilbers@siu.edu ovember 29, 2012 Absrac This noe provides a heoreical saemen abou he effec

More information

Services producer price indices for Market research and public opinion polling

Services producer price indices for Market research and public opinion polling Services producer price indices for Marke research and public opinion polling Indusry descripion for SNI group 74.13 SPPI repor no 24 Ulf Johansson Services producer price indices, Price Saisics Uni, Saisics

More information

The Relationship between Money Demand and Interest Rates: An Empirical Investigation in Sri Lanka

The Relationship between Money Demand and Interest Rates: An Empirical Investigation in Sri Lanka The Relaionship beween Money Demand and Ineres Raes: An Empirical Invesigaion in Sri Lanka R. C. P. Padmasiri 1 and O. G. Dayarana Banda 2 1 Economic Research Uni, Deparmen of Expor Agriculure 2 Deparmen

More information

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1 Suden Assessmen You will be graded on he basis of In-class aciviies (quizzes worh 30 poins) which can be replaced wih he number of marks from he regular uorial IF i is >=30 (capped a 30, i.e. marks from

More information

Price and Volume Measures

Price and Volume Measures 8 Price and Volume Measures Price and volume measures in he QNA should be derived from observed price and volume daa and be consisen wih corresponding annual measures. This chaper examines specific aspecs

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

International transmission of shocks:

International transmission of shocks: Inernaional ransmission of shocks: A ime-varying FAVAR approach o he Open Economy Philip Liu Haroon Mumaz Moneary Analysis Cener for Cenral Banking Sudies Bank of England Bank of England CEF 9 (Sydney)

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

UNIVERSITY OF MORATUWA

UNIVERSITY OF MORATUWA MA5100 UNIVERSITY OF MORATUWA MSC/POSTGRADUATE DIPLOMA IN FINANCIAL MATHEMATICS 009 MA 5100 INTRODUCTION TO STATISTICS THREE HOURS November 009 Answer FIVE quesions and NO MORE. Quesion 1 (a) A supplier

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

You should turn in (at least) FOUR bluebooks, one (or more, if needed) bluebook(s) for each question.

You should turn in (at least) FOUR bluebooks, one (or more, if needed) bluebook(s) for each question. UCLA Deparmen of Economics Spring 05 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and each par is worh 0 poins. Pars and have one quesion each, and Par 3 has

More information

Two ways to we learn the model

Two ways to we learn the model Two ways o we learn he model Graphical Inerface: Model Algebra: The equaion you used in your SPREADSHEET. Corresponding equaion in he MODEL. There are four core relaionships in he model: you have already

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

The relation between U.S. money growth and inflation: evidence from a band pass filter. Abstract

The relation between U.S. money growth and inflation: evidence from a band pass filter. Abstract The relaion beween U.S. money growh and inflaion: evidence from a band pass filer Gary Shelley Dep. of Economics Finance; Eas Tennessee Sae Universiy Frederick Wallace Dep. of Managemen Markeing; Prairie

More information

MONETARY POLICY AND LONG TERM INTEREST RATES IN GERMANY *

MONETARY POLICY AND LONG TERM INTEREST RATES IN GERMANY * MONETARY POLICY AND LONG TERM INTEREST RATES IN GERMANY * Ger Peersman Bank of England Ghen Universiy Absrac In his paper, we provide new empirical evidence on he relaionship beween shor and long run ineres

More information

Balance of Payments. Third quarter 2009

Balance of Payments. Third quarter 2009 Balance of Paymens Third quarer 2009 Balance of Paymens Third quarer 2009 Saisics Sweden 2009 Balance of Paymens. Third quarer 2009 Saisics Sweden 2009 Producer Saisics Sweden, Balance of Paymens and

More information

Economics 301 Fall Name. Answer all questions. Each sub-question is worth 7 points (except 4d).

Economics 301 Fall Name. Answer all questions. Each sub-question is worth 7 points (except 4d). Name Answer all quesions. Each sub-quesion is worh 7 poins (excep 4d). 1. (42 ps) The informaion below describes he curren sae of a growing closed economy. Producion funcion: α 1 Y = K ( Q N ) α Producion

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

The Empirical Study about Introduction of Stock Index Futures on the Volatility of Spot Market

The Empirical Study about Introduction of Stock Index Futures on the Volatility of Spot Market ibusiness, 013, 5, 113-117 hp://dx.doi.org/10.436/ib.013.53b04 Published Online Sepember 013 (hp://www.scirp.org/journal/ib) 113 The Empirical Sudy abou Inroducion of Sock Index Fuures on he Volailiy of

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

This specification describes the models that are used to forecast

This specification describes the models that are used to forecast PCE and CPI Inflaion Differenials: Convering Inflaion Forecass Model Specificaion By Craig S. Hakkio This specificaion describes he models ha are used o forecas he inflaion differenial. The 14 forecass

More information

Does Inflation Targeting Anchor Long-Run Inflation Expectations?

Does Inflation Targeting Anchor Long-Run Inflation Expectations? Does Inflaion Targeing Anchor Long-Run Inflaion Expecaions? Evidence from Long-Term Bond Yields in he Unied Saes, Unied Kingdom, and Sweden Refe S. Gürkaynak, Andrew T. Levin, and Eric T. Swanson Bilken

More information

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions CHAPTER 3 How o Calculae Presen Values Answers o Pracice Quesions. a. PV $00/.0 0 $90.53 b. PV $00/.3 0 $9.46 c. PV $00/.5 5 $ 3.5 d. PV $00/. + $00/. + $00/. 3 $40.8. a. DF + r 0.905 r 0.050 0.50% b.

More information

Short-term Forecasting of Reimbursement for Dalarna University

Short-term Forecasting of Reimbursement for Dalarna University Shor-erm Forecasing of Reimbursemen for Dalarna Universiy One year maser hesis in saisics 2008 Auhors: Jianfeng Wang &Xin Wang Supervisor: Kenneh Carling Absrac Swedish universiies are reimbursed by he

More information

An Empirical Analysis of Macrocosmic Response to Crude oil price volatility in. China by using the Input-output Models. Jing He *

An Empirical Analysis of Macrocosmic Response to Crude oil price volatility in. China by using the Input-output Models. Jing He * An Empirical Analysis of acrocosmic Response o Crude oil price volailiy in China by using he Inpu-oupu odels Jing He * Absrac. Alhough he use of he inpu-oupu price model has been widely appreciaed in public

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

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

Process of convergence dr Joanna Wolszczak-Derlacz. Lecture 4 and 5 Solow growth model (a)

Process of convergence dr Joanna Wolszczak-Derlacz. Lecture 4 and 5 Solow growth model (a) Process of convergence dr Joanna Wolszczak-Derlacz ecure 4 and 5 Solow growh model a Solow growh model Rober Solow "A Conribuion o he Theory of Economic Growh." Quarerly Journal of Economics 70 February

More information

Mathematical methods for finance (preparatory course) Simple numerical examples on bond basics

Mathematical methods for finance (preparatory course) Simple numerical examples on bond basics Mahemaical mehods for finance (preparaory course) Simple numerical examples on bond basics . Yield o mauriy for a zero coupon bond = 99.45 = 92 days (=0.252 yrs) Face value = 00 r 365 00 00 92 99.45 2.22%

More information

Contag Beta Energy Excess Return Index-Alpha Index. Index Supplement to the J.P. Morgan Commander Standard Terms. October 2010

Contag Beta Energy Excess Return Index-Alpha Index. Index Supplement to the J.P. Morgan Commander Standard Terms. October 2010 Conag Bea Energy Excess Reurn Index-Alpha Index Index Supplemen o he J.P. Morgan Commander Sandard Terms Ocober 2010 All Righs Reserved 1. An Inroducion o J.P. Morgan Conag Bea Energy Excess Reurn Index-Alpha

More information