MODELING THE CURRENCY FORWARD RISK PREMIUM: THEORY AND EVIDENCE

Size: px
Start display at page:

Download "MODELING THE CURRENCY FORWARD RISK PREMIUM: THEORY AND EVIDENCE"

Transcription

1 MODELING THE CURRENCY FORWARD RISK PREMIUM: THEORY AND EVIDENCE Ramapraad Bhar *, Car Chiarea and Toan M. Pham ** * Schoo of Finance and Economic Univeriy of Technoogy, Sydney PO Box 123, Broadway, NSW 2007 AUSTRALIA Fax ** Schoo of Baning and Finance The Univeriy of New Souh Wae Sydney 2052 AUSTRALIA * Correponding auhor: Emai:ramapraad.bhar@u.edu.au 1

2 MOEDELING THE CURRENCY FORWARD RISK PREMIUM: THEORY AND EVIDENCE Abrac: There i a huge ieraure on he exience of ri premia in he foreign exchange mare and i infuence in expaining he divergence beween he forward exchange rae and he ubequeny reaied po exchange rae. In hi paper, we ee o mode direcy he ri premium a a meanrevering diffuion proce. Thi i done by maing ue of he poforward price reaionhip and auming a geomeric Brownian proce for he po exchange rae. We are abe o obain a ochaic differenia equaion yem for he po exchange rae, he forward exchange rae and he ri premium which we eimae uing Kaman fiering echnique. The mode i hen appied o he French Franc/USD and Japanee Yen/USD exchange rae from 1 January 1990 o 31 December For boh currencie our main finding how (i) he perience of ubania poiive ime variaion in he forward ri premium and i aernaing regime; and (ii) he preence of a erm rucure of he forward ri premia. 2

3 MODELING THE CURRENCY FORWARD RISK PREMIUM: THEORY AND EVIDENCE 1. Inroducion Thi paper focue on a opica and imporan area of finance heory and pracice ha anaye ri premia in he foreign exchange mare. The noion ha he forward exchange rae migh be he opima predicor of he fuure po exchange rae ha been inveigaed by a number of reearcher. Thi noion deveoped a a coroary o he efficien mare hypohei. For mare paricipan i i, herefore, an imporan iue o monior wheher he forward exchange rae i an unbiaed foreca of he fuure po exchange rae. Thi unbiaedne hypohei ha been he ubjec of evera reearch paper (Enge (1996)). The ypica aring poin in hee anaye i o conider he foowing regreion of he change in he og of he po exchange rae on he forward premium: ( f ) u = a b, (1) where i he og of he po price (S) of foreign currency a ime, f, i he og of he period forward price (F) a ime, and u i he regreion error erm. The nu hypohei generay eed i ha a = 0, b = 1 and he error erm ha a condiiona mean zero. Thu, under he nu hypohei he og of he forward rae i an unbiaed predicor of he og of he fuure po exchange rae. Severa paper over he year have examined he regreion (1) wih variou improvemen in economeric echnique empoyed and he overa reu may be decribed a mixed. For exampe, Wu and Zhang (1997) empoy a nonparameric e and no ony rejec he unbiaedne hypohei bu ao concude ha he forward premium eiher conain no informaion or wrong informaion abou he fuure currency depreciaion. On he oher hand, Bahi and Naa (1997) derive an error correcion mode under he aumpion ha he po and he forward rae are coinegraed and concude uing he generaied mehod of momen ha he unbiaedne hypohei canno be rejeced. Phiip and McFarand (1997) deveop a 3

4 robu e and rejec he unbiaedne hypohei bu concude ha he forward rae ha an imporan roe a a predicor of he fuure po rae. I ha been uggeed ha he unbiaedne hypohei may be faiing empirica e due o he exience of a foreign exchange ri premium. Thi ha ed o a grea dea of reearch on he modeing of he ri premia in he forward exchange rae mare. However, mode of ri premia have been unuccefu in expaining he magniude of he faiure of unbiaedne (Enge (1996), page 124). Under raiona expecaion, ( ) = E e (2) where E i he mahemaica expecaion condiiona on informaion a and uncorreaed wih informaion a ime. We define he erm f E ( ) e i rp º, a he foreign exchange ri premium. Under rineuraiy he mare paricipan woud behave in uch a way ha f, equa ( ) forward mare pecuaion woud be zero. E and he expeced profi from Thi definiion of ri premium i baed on he raiona expecaion of he mare paricipan. Even hen, he meaure of rp may uffer from ma ampe biae. If rp coud be reaed o underying economic variabe hen i heoreica foundaion woud be firmy baed upon economic heory. Severa arice (ee for exampe a urvey in Suz (1994)) dicu he mode of foreign exchange ri premium baed on opimiing behaviour of inernaiona inveor. However, aongide uch heoreica deveopmen pure ime erie udie of rp aume a renewed imporance. In paricuar, hey are uefu in decribing he behaviour of ( ) f, E, which mode of foreign exchange ri premium ha aume raiona expecaion need o be abe o expain. Exampe of uch udie incude Bacu e a (1993) and Beaer (1994). Some reearcher, Woff (1987, 2000) and Chung (1993), have modeed hi ri premium a an unoberved componen in ae pace form and eimaed i uing he Kaman fier. The advanage of hi igna exracion approach i ha he reearcher 4

5 can empiricay characerie he empora behaviour of he premium uing ony daa on po and forward exchange rae. Thi avoid he probem aociaed wih pecifying a funciona form of he underying economic deerminan of ri premium and oher rong aumpion of he regreion baed approach. A he ame ime igna exracion mehod do no offer much inigh ino he reaionhip beween he ri premium and oher economic variabe. Woff (1987) ugge a ae pace formuaion where he ri premium and he unexpeced rae of exchange rae depreciaion are aumed uncorreaed. Cheung (1993) foow a framewor imiar o Woff and rea he unoberved ri premium a a ow order ARMA proce. In addiion, he innovaion in correaed wih E ( ) rp are aowed o be, he error from previou period foreca. Uing monhy daa Cheung (1993) find ha he fiered eimae of rp exhibi a grea dea of perience, high variabiiy and negaive correaion wih E ( ) (1991), Canova, and Io (1991) ao find high voaiiy in E ( ). Canova f,. Canova and Marrinan (1993) agree wih hee finding and furher documen high eria correaion and voaiiy cuering in he ime erie of rp. One oher common feaure of hee udie i ha he eimae of rp wiche ign during he ampe period inveigaed. For a given exchange rae, eg. USD/DEM, hi woud impy ha here are period when U.S. doar ae are conidered much afer han DEM ae and here are ime when he revere i he cae. An approach o e he hypohei ha he ri premium i a inear funcion of he condiiona variance and covariance a uggeed by andard ae pricing heory i baed on a muivariae GARCH framewor. Baiie and Boerev (1990) conider a GARCH in he mean mode uing weey daa under he aumpion of ri neuraiy and raiona expecaion. Te of heir mode fai o find uppor for hi heory. They concude a poibe vioaion of forward mare efficiency and hi coud be due o inefficien informaion proceing by mare paricipan or he fac ha oher heoreica mode are required o dea wih he ime varying ri premium. 5

6 The ri premia mode dicued above may be ermed a paria equiibrium in naure ince he ochaic proce of ae reurn i given. Duma (1993) poin ou ha a fu genera equiibrium mode wi reae hi proce o underying exogenou economic variabe. A good aring poin in hi repec i he Luca (1982) mode. Beaer (1994) dicue ome of he reaon why genera equiibrium mode canno adequaey expain he behaviour of he ri premium. The preceding anayi ugge ha he empirica evidence on he roe of he forward rae a a predicor of he fuure po rae i mixed, furhermore here eem o be an imporan infuence exered by he ri premium or even a erm rucure of ri premium. If he ize of he ri premium i unnown and i i ime varying hen he forward rae wi be a poor forecaer of he fuure po rae. I i in hi conex ha we aemp an aernaive characeriaion of he ri premium. We do hi by eeing o expoi he informaion abou he ri premium impied in he no arbirage reaionhip beween po and forward exchange rae. We ue Kaman fiering echnique o exrac hi informaion. The heoreica bacground of our approach i reviewed in Secion 2, whie a decripion of he mode i given in Secion 3. Thi i foowed by he preenaion of he Kaman fier eimaion procedure in Secion 4 and he anayi of he empirica reu in Secion 5. Finay Secion 6 concude he paper. 2. A New Framewor for he Dynamic of Ri Premia Ahough here i no unanimiy of opinion, he preceding dicuion poin ou he exience of ri premia and i infuence in expaining he divergence beween he forward exchange rae and ubequeny reaied po exchange rae. In mo cae he e rejecing he impe efficiency hypohei argumen are baed on aympoic inference. Even if he reearcher ue arge daa e, o avoid daa correaion probem wih overapped ampe, he effecive ampe ize become much maer. For exampe, when po exchange rae and onemonh forward rae are ued in he e he effecive ampe frequency become monhy. I hu eem o u ha a arge amoun of informaion in he inervening period are eiher mied or no uiied effecivey. 6

7 We propoe o adop a omewha differen approach in hi modeing exercie. We ar wih he uua aumpion in he BacSchoe opionpricing framewor and e he po exchange rae foow a geomeric diffuion proce. The andard arbirage argumen i hen appied o reae he forward exchange rae o he po exchange rae hrough he conrac period, and he reaed inere rae in he wo counrie. By appicaion of Io emma, we hen expre he dynamic of he forward price a anoher ochaic differenia equaion. I i cear ha in hi iuaion he ae underying he forward conrac i a raded ecuriy. Therefore, a dicued in Hu (1997, chaper 13) in order o price he forward conrac he inveor may be conidered rineura under he equivaen (ri neura) meaure. In operaiona erm hi impie ha under he hiorica meaure he expeced reurn par of he underying ecuriy may be repaced by anoher erm invoving he rifree rae, he mare price of ri and he voaiiy of he ecuriy. The mare price of ri, however, i no oberved in he mare and ha o be inferred from oher obervabe quaniie. Hu (1997, page 296) expain why an eimae of mare price of ri i uuay no needed o price derivaive ecuriie when he underying ae i a raded ecuriy. In our cae, however, ince we are no pricing he forward conrac a uch we incorporae he mare price of ri and rea hi an unoberved ae variabe in he yem dynamic under he hiorica meaure. Once we expre he dynamic of he mare price of ri hrough a uiabe ochaic differenia equaion, we hen have a pariay oberved yem invoving hree variabe, he po exchange rae, he forward exchange rae and he mare price of ri. Thi yem can be ca ino a ae pace form and eimaed wih he hep of he Kaman fier afer appropriae dicreiaion. The advanage of hi approach i ha we ge he fiered eimae of he mare price of ri, which can be ued o form eimae of he ri premium. I houd be noed ha we are modeing he dynamic of he mare price of ri hrough he dicreiaion period (e.g. rading day). Thu, here i no need o mach he dae for he po exchange rae wih hoe of he forward exchange rae. Thi approach herefore ha he benefi ha we are abe o uiie a of he informaion generaed hrough he rading dae, which i normay no poibe in regreionbaed approache. 7

8 For a uiabe repreenaion of he dynamic of he mare price of ri, we noe he finding in Woff (1987) and Cheung (1993). Boh hee auhor repor empirica uppor for a ow order ARMA proce for he ri premium in a number of exchange rae again he U.S. doar. Whie Woff (1987, p. 396) recognie ha he economic conen of he ri premium may be baed upon equiibrium mode of inernaiona ae pricing, i i no expiciy modeed. In hi regard our approach compimen Woff (1987) and Cheung (1993) by providing an expici modeing of he ri premium wih repec o he mare price of ri under he no arbirage condiion. We eec a mean revering form of he ochaic differenia equaion repreening he mare price of ri. By uiabe change of variabe and dicreiaion, hi mean revering form can ao be repreened a an AR (1) proce. The parameer of he ochaic differenia equaion repreening he mare price of ri are o be eimaed from he daa a we. In he nex ecion, we dicu he deai of hee modeing iue. 3. The Propoed Mode The propoed mode i a reu of hree main aumpion. Firy, under he hiorica probabiiy meaure Q (a oppoed o he ri neura probabiiy meaure ued in derivaive ecuriy pricing) he po exchange rae foow he geomeric Brownian proce () ds = m Sd SdW (3a) S where ds i he incremen of he po exchange rae, m i he expeced reurn from he po rae, S i he voaiiy of hi reurn and dw() i he incremen of a Wiener proce under he probabiiy meaure Q. The econd main aumpion i ha in efficien mare derivaive inrumen are priced in accordance wih he principe of no rie arbirage. An expreion of hi principe i ha a derivaive on foreign exchange uch a forward and opion are priced uch ha heir expeced ri adjued exce reurn i conan acro a inrumen I and foreign exchange ief and equa o he facor, he mare price of ri 1 : 1 See Ro e a (1998, pp ) for an expoiion of he fundamena reu ha in an acive, compeiive mare he mare price of ri mu be he ame for a he ae in he mare. 8

9 m (r ) = I r f I where he ubcrip I refer o he derivaive inrumen whie r and r f (3b) are he rifree inere rae in he domeic counry and he foreign counry repecivey. Conidering he foreign exchange ief we can wrie (3b) a m = r (3c) r f S which highigh he inerpreaion of a he addiiona reurn required by inveor hoding foreign currency for a uni increae in voaiiy S. Subiuing (3c) ino (3a) aow u o reexpre he dynamic of he exchange rae S a ds = ( r rf ) Sd SdW ( ) (3d) We re ha he dynamic are i under he hiorica meaure Q. The principe of no rie arbirage ao aow u o obain beween he forward exchange rae F(, T) and he po exchange rae S() he reaionhip ( rrf )( T ) F(, T) = S( ) e (3e) Uing hi, equaion (3d) for he dynamic of S and Io' emma we are abe o obain he dynamic of F under he hiorica meaure Q. The hird aumpion i ha he mare price of ri of foreign exchange ri foow a meanrevering ochaic differenia equaion. In Appendix A we how how hee hree aumpion aow u o expre he po exchange rae, he forward exchange rae and he mare price of ri a he ochaic dynamica yem ds = ( r r ) Sd SdW ( ), (4a) f S S ( ) d dw () d = (4b) df(, x ) = ( r r ) F(, x ) d F(, x ) dw( ) (4c) i f i F i p x é ù 2 æ1 e ö (, x) = 0.5 ( ( ) ) ç xú û S ë ç è ø (4d) 9

10 where: S W() = po exchange rae proce = andard Wiener proce under he hiorica probabiiy meaure = mare price of ri F, x ) = forward price F, x ) º F(, x ) wih mauriy x i ahead ( i ( i i p (, x) r r f = he ri premium for he x period ahead po rae = domeic ri free inere rae = rifree inere rae in he counry of he foreign currency = ongrun equiibrium of mare price of ri = he peed of adjumen of he proce for o i ong run equiibrium Equaion (4a), (4b) and (4c) are he ochaic procee decribing he behavior of he po exchange rae, he mare price of ri and he forward price repecivey. Equaion (4d) i he ri premium expreed in erm of he variabe embedded in Equaion (4a), (4b) and (4c). A dicued in he inroducion, auming raiona expecaion previou udie aribued he difference beween he forward rae and he ubequeny reaied po exchange rae o a ri premium and ome noie erm (eg Woff (1987), Cheung (1993)). We are, however, abe o characerie how he mare price of ri ener he expecaion formaion and hu deermine he ri premium. In fac, he noie erm idenified in Woff (1987) and Cheung (1993) can now be expained in erm of an inegra wih repec o he Wiener incremen [ee equaion (A13) and (B4) in Appendice A and B repecivey]. We woud now ie o compare he ime variaion of ri premia for differen mauriie of forward conrac obained from equaion (4d) for differen exchange rae. A a reu we wi be abe o examine he erm rucure of forward ri premia preen in he quoed forward exchange rae. To carry ou hee procedure we wi require eimae of he parameer decribing he ochaic proce for given by equaion (4b). In he nex ecion, we briefy decribe he ae pace formuaion of 10

11 he yem and eimaion of hee parameer whie a deaied echnica expoiion i conained in Appendix C. 4. Sae Space Framewor Broady peaing our empirica procedure invove he dicreiaion of he coninou yem dynamic given by he equaion (3a) hrough (3c). A number of dicreiaion cheme for ochaic differenia equaion are dicued in Koeden and Paen (1992) and we chooe o wor wih he EuerMaruyama cheme. The nex ep i o expre he dicreied yem in ae pace form. A i and, he equaion (4a) and (4c) ugge ha he diffuion erm are dependen on he ae variabe hemeve and are hu ochaic in naure. By a impe ranformaion of variabe uing he naura ogarihm and appicaion of Io emma we can ranform hee o equaion wih conan diffuion erm. Uing hee ranformaion and afer dicreiaion of he equaion (4a) hrough (4c) we obain for he ime inerva beween 1 and : ~ x (5) 2 1 = ( r rf 0.5 S ) D SD S D f ~ x (6) 2 = f 1 ( r rf 0.5 S ) D 1 SD S D ~ x (7) 1 = (1 D) D D where = ns, f = nf and x ~ ~ N(0,1) The equaion (5) (7) decribe he dynamic of he pariay oberved yem and in he ae pace framewor i i generay referred o a he ae raniion equaion. Once he yem i pecified in ae pace form a recurive agorihm uch a he Kaman fier (ee e.g. Harvey (1990)) can be appied o obain he opima eimae of he ae vecor a ime baed upon a he informaion avaiabe a ha ime. In hi ene he Kaman fier i forward ooing. However, more efficien eimae of he ae vecor and i error covariance marix can be obained if afer he iniia eimaion a he informaion up o he fina obervaion i uiied in a or of econd 11

12 pa proce. The moohing agorihm provide uch a procedure (ee Harvey (1990) for deai). In mo appicaion in finance and economic, uch a our, a he obervaion are aready avaiabe. Therefore, he moohing agorihm can be eaiy appied and ha been incorporaed in he udy of hi paper. Among oher hing, he Kaman fier provide exac finie ampe foreca. Thee foreca are ued o form predicion error a each ime ep which in urn are ued o form he og ieihood funcion from which maximum ieihood eimae of he parameer of he yem are obained. A furher by produc of hi eimaion procedure i he e of fiered eimae of he unoberved mare price of ri a each ime ep, which i hen ued o form he fiered eimae of he ri premium in equaion (4c). 5. Daa and Empirica Reu: We appy he mehodoogy ouined in Secion 4 o wo exchange rae and hree differen mauriie for he forward rae. Specificay, we ue JPY/USD and FF/USD exchangerae and forward exchange rae of 1monh, 2monh and 3monh mauriie o inveigae he variaion of he ri premia over a nine year period from January 1, 1990 o December 31, The exchange rae daa refec he daiy 4PM London quoaion obained from Daareamä and he inere rae daa are he daiy coing 3monh Treaury bi yied for he period from 1 January 1990 o 31 December Thu, he inpu o he Kaman fiering eimaion coni of he reurn on he po rae, forward rae for 1, 3, 6 monh mauriie, he bi rae in he home counry and he foreign counry (r, r f ) and he voaiiy of he reurn on he po rae,, S, being fixed a ampe vaue 2. The oupu are he parameer eimae, and he fiered eimae of { 0, 1,, T } (where T i he number of obervaion) which are hen ued o eimae he ri premium in equaion (4d). The reu are hown in Tabe 1, 2, 3 and graphed in Fig. 1, Fig. 2 and Fig. 3 from which evera obervaion and inerpreaion can be made. 2 In order o improve he abiiy of he eimaion proce he voaiiy of he reurn on he po exchange rae (ee equaion (4a)) i fixed a he vaue cacuaed a andard deviaion from he 12

13 Wih repec o he aiica ignificance of he parameer eimae (ee Tabe 1), a eimae are aiicay ignifican apar from he equiibrium mare price of ri of he French Franc,. The French Franc appear o have adjued more owy han he Japanee Yen, which i ao conien wih i ower eve of voaiiy (ee and in Tabe 1). Thi may be aribued o he fac ha ince 1979 France ha been par of he European Moneary Syem whoe purpoe i o foer currency abiiy in Europe whie he Japanee Yen ha been operaing in a reaivey free foaing environmen. From a differen poin of view he reaivey arge fucuaion of he French Franc ri premium (ee Fig. 1 and Fig. 3) in he period refec he currency urmoi in Europe which cuminaed in he currency crii of The caay for hi voaie period wa he deiberae aemp of he Bundeban o ighen moneary poicy by raiing inere rae o comba infaion (caued by he expanionary poicie o hore up he economy of Ea Germany) and o arac foreign capia o finance he reuing budge defici. We ao noice high vaue of for a hree forward exchange rae (ee Tabe 1) and hi i conien wih he finding of Canova and Io (1991) who repored high voaiiy in E ( ) f,. Furhermore, he diagnoic aiic o deermine he adequacy of he eimae of he mode mare price of ri, (ee Tabe 2) indicae ha he reidua are whie noie. Overa here i evidence upporing correc mode idenificaion wih 5 ou of he 6 parameer eimae being aiicay ignifican (ee Tabe 1) whie he behavior of he ri premium eimae of he French Franc (ee Fig. 1) refec he currency crii in Europe in he eary 1990'. Boh currencie exhibi ubania mauriy variaion in heir repecive ri premium (ee Tabe 3) and ao ign wiching beween poiive and negaive (ee Fig. 1, Fig. 2 and Fig. 3). Thu, hi finding convincingy rejec conancy of he mean of he ri premium of boh currencie paricuary for he French Franc. Whie our modeing approach i differen, hi reu of poiive eria correaion and aernaing regime ampe. Thee annuaied vaue are and for he French Franc and Japanee yen repecivey. 13

14 i conien wih previou evidence [ Enge (1996), Woff (1987, 2000), Nijman e a (1993)]. Furhermore, a 'whiene' e (ee Tabe 3) i ao performed o inveigae he behavior of he demeaned ri premia and he aiic (Tabe 3) indicae he fucuaion of he ri premia of boh currencie around heir repecive mean are nonwhie, hu furher reinforcing he perience of he poiive correaion of he ri premia. Thi feaure of he behavior of he forward ri premium i now caaogued a one of he new fac in finance (ee Cochrane (1999)). Lay he negaive ri premia (ee Tabe 3) for boh currencie are feaibe in he exane ene and conien wih recen reearch [(ee Boudouh, Richardon and Smih (1993), Odie (1998)] whie heir changing vaue acro mauriie ceary indicae a erm rucure of ri premia. On baance our empirica reu reaffirm he preence of he ime varying propery of forward ri premia whie our mode provide an inegraed framewor where he ri premium i ied o he mare price of ri in he conex of raiona expecaion and no rie arbirage. 6. Concuion: In hi paper we have preened a new approach o anaye he ri premium in forward exchange rae. Thi invove expoiing he no arbirage reaionhip ha in he po exchange rae and he forward exchange rae hrough he mare price of ri under he hiorica probabiiy meaure. By direcy modeing he mare price of ri a a mean revering proce we are abe o how how he mare price of ri ener ino expecaion formaion for a fuure po exchange rae. Thi mehodoogy aow u o quanify he ri premium aociaed wih a paricuar forward exchange rae in erm of he parameer of he proce decribing he mare price of ri. We ao demonrae how hee parameer can be eimaed in a ae pace framewor by appicaion of he Kaman fier. Thi procedure, in urn, generae he fiered and he moohed eimae he unoberved mare price of ri. We appy he procedure deveoped in he paper o French Franc/USD and JPY/USD po exchange rae and 1monh, 2monh and 3monh forward exchange rae. 14

15 For boh currencie he anayi of he reu how (i) he perience of ubania ime variaion in he forward ri premium on he poiive ide and i aernaing regime; and (ii) he preence of a erm rucure of he forward ri premia. 15

16 Tabe 1 Eimaed Parameer of he Mare Price of Ri French Franc (5.81) (1.13) (8.48) Japanee yen (12.61) (12.28) (12.88) Number in parenhee are aiic compued from andard error obained uing he heerocedaiciy conien covariance marix a he poin of convergence. The annuaied voaiiy of he po exchange rae proce i e o he ampe vaue and hee are and for French Franc and Japanee Yen repecivey. Tabe 2 Diagnoic Te of he Eimaed Mode Mare Price of Ri () 1Monh Forward 2Monh Forward 3Monh Forward French Franc Q(10) Q 2 (10) Japanee Yen Q(10) Q 2 (10) The enrie in he abe are pvaue. Q(10) meaure he LjungBox aiic (order 10) for eria correaion in he repecive reidua erie. Q 2 (10) i imiar o Q(10) bu compued wih he quared reidua. The aympoic diribuion of boh hee aiic are Chiquared wih degree of freedom 10. Tabe 3 Decripive Saiic of he Eimaed Ri Premia (p ) 1Monh Forward 2Monh Forward 3Monh Forward French Franc Mean Sd. Dev Q(10) Japanee Yen Mean Sd. Dev Q(10) Decripive aiic of he ri premia for he hree differen forward exchange rae compued from he parameer eimae in Tabe 1 and he moohed eimae of he mare price of ri. 16

17 Figure 1 Eimaed Ri Premia in French Franc Forward Exchange Rae French Franc 1M onh Forward Jan90 Jan91 Jan92 Jan93 Jan94 Jan95 Jan96 Jan97 Jan98 French Franc 2Monh Forward Jan90 Jan91 Jan92 Jan93 Jan94 Jan95 Jan96 Jan97 Jan98 French Franc 3Monh Forward Jan90 Jan91 Jan92 Jan93 Jan94 Jan95 Jan96 Jan97 Jan98 17

18 Figure 2 Eimaed Ri Premia in Japanee Yen Forward Exchange Rae Japanee Yen 1M onh Forward Jan90 Jan91 Jan92 Jan93 Jan94 Jan95 Jan96 Jan97 Jan98 Japanee Yen 2M onh Forward Jan90 Jan91 Jan92 Jan93 Jan94 Jan95 Jan96 Jan97 Jan98 Japanee Yen 3M onh Forward Jan90 Jan91 Jan92 Jan93 Jan94 Jan95 Jan96 Jan97 Jan98 18

19 Figure 3 Eimaed Ri Premia in 3Monh Forward Exchange Rae French Franc and Japanee Yen (Seeced Period) French Franc 3Monh Forward (1992) Jan92 Feb92 Mar92 Apr92 May92 Jun92 Ju92 Aug92 Sep92 Oc92 Nov92 Dec92 Jap anee Yen 3Monh Forward (1995) Jan95 Feb95 Mar95 Apr95 May95 Jun95 Ju95 Aug95 Sep95 Oc95 Nov95 Dec95 Jap anee Yen 3Monh Forward (1997) Jan97 Feb97 Mar97 Apr97 May97 Jun97 Ju97 Aug97 Sep97 Oc97 Nov97 Dec97 19

20 Appendix A Derivaion of he Sochaic Dynamica Syem Whie hi paper eeniay adop he mehodoogy of Bhar and Chiarea (2000), in order o mae i efconained he baic eemen of hi mehodoogy are ummaried in hi appendix. Le he po exchange rae foow he onedimeniona geomeric diffuion proce, ds = m Sd SdW () (A1) where m i he expeced reurn from he po ae, i he voaiiy of hi reurn, boh meaured per uni of ime and dw i he incremen of a Wiener proce under he hiorica probabiiy meaure Q. Le u define r a he domeic rifree inere rae and r f a he counerpar in he foreign currency. Since r f can be inerpreed a a coninuou dividend yied, he inananeou expeced reurn o an inveor hoding foreign exchange i ( m rf ). Thu he reaionhip beween he exce reurn demanded and he mare price of ri () houd become ( m r f ) r =, or m = ( r rf ). (A2) Thu, equaion (A1) can be rewrien a ds = ( r rf ) Sd SdW ( ), under Q. (A3) Aernaivey we may wrie ~ ds = ( r rf ) Sd SdW ( ), under Q ~ (A4) 20

21 ~ where, W ( ) = W ( ) ò 0 ( u) du and Q ~ i he ri neura probabiiy meaure. ~ We reca ha under he hiorica meaure Q, he proce W ( ) i no a andard ~ Wiener proce ince E[ dw ( )] = d ¹ 0 in genera. However, Giranov heorem aow u o obain he equivaen ri neura meaure Q ~ ~ under which W ( ) doe become a andard Wiener proce. The meaure Q and Q ~ are reaed via he RadonNiodym derivaive deai of which may be found in Koeden and Paen (1992). Uing andard arbirage argumen for pricing derivaive ecuriie (ee for exampe, Hu (1997), chaper 13), he forward price a ime for a conrac mauring a T (>), i ~ F (, T ) = E ( ST ). (A5) Bu from equaion (A4), by Io emma, d[ S( ) e ( r rf ) ~ ] = S( ) e dw ( ), ( rrf ) o ha under Q ~, he quaniy S( ) e ( rr ) f i a maringae from which i foow immediaey ha ~ ( r rf )( T ) E ( ) ST Se =, ie. ( r rf )( T ) F(, T ) = S e. (A6) If he mauriy dae of he conrac i a conan period, x, ahead hen (A6) may be wrien a, ( r r f ) x F(, x) = S e. (A7) 21

22 Le F (, x) º F(, x) and f (, x) º n F(, x), hen from (A3), (A4) and (A7) and by a rivia appicaion of Io emma we obain he ochaic differenia equaion for F under Q and Q ~. Thu, under Q ~ ~ df(, x) = ( r rf ) F(, x) d F(, x) dw ( ) (A8) whi under Q, df(, x) = ( r rf ) F(, x) d F(, x) dw ( ) (A9) wih, ( r 0 rf ) x F (0, x) = S e. We now propoe, under Q he hiorica meaure, for he mare price of ri,, he mean revering ochaic proce ( ) d dw d = (A10) where i he ongerm equiibrium mare price ri, and define he peed of mean reverion. I houd be poined ou here ha when dicreied he ochaic differenia equaion (A10) woud become a ow order ARMA ype proce of he ind repored in Woff (1987) and Cheung (1993) 3. The parameer in equaion (A10) may be eimaed from he daa uing he Kaman fier. Suppoe we have n forward price, F, x ), F(, x ),... F(, x ), hen we have a yem ( 1 2 n of (n2) ochaic differenia equaion. Thee are (under he hiorica meaure Q ), ds = ( r rf ) Sd SdW ( ), (A11a) 22

23 ( ) d dw () d = (A11b) df(, x ) = ( r r ) F(, x ) d F(, x ) dw ( ) (A11c) i f i i r f ) x i where, S ( 0) = S0, ( 0) = 0, F (0, xi ) = S0e, i = 1,2,... n. ( r I houd be noed ha he informaion conained in equaion (A11c) i ao conained in he pricing reaionhip, i ( r e r f ) x i F (, x ) = S. (A12) To eimae he parameer in he fiering framewor, however, we chooe o wor wih he equaion (A11c). From equaion (A3), we can wrie he po price a ime x a, uing ( ) = n S( ), a x x ò 2 ( x) = ( ) ( r r 0.5 ) x ( ) d dw ( ). (A13) f ò From equaion (A13) we can wrie he expeced vaue ( x) a, é E f ò ) ë x 2 ù [ ( x) ] = ( r r 0.5 ) x E ( dú û. (A14) The cacuaion ouined in Appendix B (ee in paricuar equaion (B5)) aow u o hen wrie, E 2 [ ( x) ] = ( ) ( r r 0.5 ) x ( ( ) ) f é ë æ ç1 e ç è x ö ù xú. (A15) ø úû 3 A we have poined ou in Secion 2, Woff and Cheung repor an ARMA ype proce for he ri premium ief. However, we ee from equaion (4d) ha p(, x) and () mu foow he ame ype of 23

24 The above equaion may ao be expreed (via ue of equaion (A7)) a, é æ x 1 ö ù 2 [ ( )] (, ) 0.5 ( ( ) ) ç e E x = f x xú. (A16) ç ë è ø úû Le (, x) º ( E[ ( x) f(, x)) p repreen he ri premium (under he hiorica meaure Q ) for he x period ahead po rae, hen from equaion (A16), p 2 (, x) = 0.5 ( ( ) ) é ë æ ç1 e ç è x ö ù xú. (A17) ø úû ochaic proce. 24

25 Appendix B Evauaion of Forward Expecaion The ochaic differenia equaion for (equaion 3b, Secion 3) can be expreed a, d u u u ( e ( u) ) = e e dw ( u) (B1) Inegraing (B1) from o (> ), ( e e ) ò u e ( ) e ( ) = e dw ( u), (B2) from which ( ) ( u) ( 1 e ) ò e dw ( u) ( ) ( ) = e ( ). (B3) Now inegraing (B3) from o x, x ò ) d = ( ) ò e x ( ( ) d x x ò e ( ) òò d x ( u) e dw ( u) d. The fir wo inegra in he foregoing equaion are readiy evauaed. However, in order o proceed he hird inegra need o be expreed a a andard ochaic inegra, having he dw (u) erm in he ouer inegraion. Thi i achieved by an 25

26 26 appicaion of Fubini heorem, (ee Koeden and Paen (1992)) which eeniay aow u o inerchange he order of inegraion in he obviou way. Thu, ò x d ) ( ( ) ò ò ø ö ç ç è æ ø ö ç ç è æ = x x u u x u dw d e x e ) ( 1 ) ( ) ( ( ) [ ] ò ø ö ç ç è æ = x u x x u dw e x e ) ( 1 1 ) ( ) (. (B4) Thu, ú û ù ë é ò x d E ) ( =( ) x e x ø ö ç ç è æ 1 ) (. (B5)

27 Appendix C Sae Space Framewor and he Kaman Fier Updaing Equaion For a paricuar mauriy, he dynamic of he po exchange rae, forward exchange rae and he mare price of ri are decribed by he equaion (4a) hrough (4c) in Secion 3 of hi paper. The ey concep in underanding he ae pace formuaion i he eparaion of he noie driving he yem dynamic and he obervaiona noie. Wha we oberve in pracice may no be he yem variabe direcy and hee may be maed by meauremen noie. Beide, we are deaing wih a pariay oberved yem ince he mare price of ri i no obervabe. The yem dynamic given by he equaion (4a) hrough (4c) in he paper (Secion 3) are in coninuou ime and we uuay meaure in dicree inerva, o we need o dicreie he equaion for he purpoe of impemenaion and eimaion. A number of dicreiaion cheme for ochaic differenia equaion are dicued in Koeden and Paen (1992) and we chooe o wor wih he EuerMaruyama cheme. A i and, he equaion (4a) and (4c) ugge ha he diffuion erm are dependen on he ae variabe hemeve and are hu ochaic in naure. By a impe ranformaion of variabe uing he naura ogarihm and appicaion of Io emma we can ranform hee o equaion wih conan diffuion erm. Uing hee ranformaion and afer dicreiaion of he equaion (4a) hrough (4c) (ee Secion 3) we obain for he ime inerva beween 1 and : ~ x (C1) 2 1 = ( r rf 0.5 S ) D SD S D f ~ x (C2) 2 = f 1 ( r rf 0.5 S ) D 1 SD S D ~ x (C3) 1 = (1 D) D D where x ~ ~ N(0,1) 27

28 28 The equaion (C1) (C3) decribe he dynamic of he pariay oberved yem and in he ae pace framewor i i generay referred o a he ae raniion equaion. In a muivariae iuaion i i convenien o expre hee in marix noaion and foowing Harvey (1990) hi urn ou a foow: R c a T a h = 1, (C4) where, ú ú ú û ù ë é = ú ú ú û ù ë é D D D = ú ú ú û ù ë é D D D = ú ú ú û ù ë é f = R, ) 0.5 ( ) 0.5 ( c, T, r r r r a f f and h i a ) 1 2 ( vecor of noie ource ha are eriay uncorreaed, wih expeced vaue zero and he covariance marix, ú û ù ë é D D = = h Q Cov 0 0 ).(. The obervaion in our yem are reaed o he ae variabe in an obviou way a, a Z y e = (C5) where, ú û ù ë é f = y, ú û ù ë é = = e ú û ù ë é = h h H Z 0 0 ) Cov.(, A decribed before he variance in meauremen of he obervabe are repreened by h. Anoher aumpion in hi e up i ha he noie ource in he ae and he meauremen equaion are independen of each oher. The ae pace yem require

29 pecificaion of he iniia ae vecor. A uggeed in Harvey, Ruiz and Shepherd (1994) he fir obervaion can be ued o iniiaie i if nonaionariy i upeced. Once he yem i pecified in ae pace form a recurive agorihm uch a he Kaman fier can be appied o obain he opima eimae of he ae vecor a ime baed upon a he informaion avaiabe a ha ime. A he yem given by equaion (C4) i condiionay Gauian, by recurivey cacuaing he fir wo momen of he condiiona diribuion, he Kaman fier give he minimum mean quare eimae of he ae vecor. Anoher advanage of he condiionay Gauian cae i ha he ieihood funcion can be preciey cacuaed from he predicion error and i covariance. When hi ieihood funcion i maximied wih repec o he unnown parameer of he mode heir eimae and he correponding andard error are obained. We can now wrie down he main updaing equaion of he Kaman fier for hi yem. An inuiive expanaion of he operaion of he fier can ao be found in Bhar and Chiarea (1997). ˆ If a 1i he opima eimaor of he ae vecor baed upon he obervaion up o and incuding y 1, and P 1i he covariance marix of he eimaion error hen he opima eimaor of he ae vecor a i given by, a ˆ c (C6a) 1 = T aˆ 1 and he covariance marix of he eimaion error i, P 1 = T P 1T RQ R. (C6b) The equaion (C6a) and (C6b) are he predicion equaion. Once he obervaion a become avaiabe hee eimae can be updaed a foow: 1 a aˆ P Z F ( y Z aˆ ), (C6c) ˆ = = P 1 P 1Z F Z P _ 1 P, (C6d) 29

30 where, F = Z P 1Z H. (C6e) Given he aring vaue, a 0 and P 0, Kaman fier give he opima eimaor of he ae vecor, a each new obervaion become avaiabe. The predicion error a each ep and i covariance marix can be ued o conruc he ieihood funcion, which (wihou he conan erm) for T obervaion i given by, T T = 1 = 1 1 og L = 0.5 åog F 0.5 ån F n (C7) ˆ where, n = y Z a 1. A we have een, he fier agorihm provide he opima eimae of he ae vecor, â, baed upon a he informaion up o ime. However, in our appicaion we can ao ae ino accoun of a he informaion up o T, once he maximum ieihood eimae of he parameer are obained. Thi i nown a fixed inerva moohing and we wi be uing hee moohed eimae of he mare price of ri o compue he ri premium. The moohing agorihm coni of a e of recurion aring a he fina poin and woring bacward o he aring poin. We ummarie hee equaion beow and he deai can be found in Harvey (1990, pp ) a we a Jazwini (1970, pp ): * a T ( 1 T 1 = a P a T a ), (C8a) * * P P P P P P, (C8b) T = ( 1 T 1 ) * 1 = P T 1P 1 P, for = T1, T2,, 1. (C8c) 30

31 Thee recurion require fina vaue of a and P for a and iniiaiaion a a = T T = at, PT T PT. 31

32 Reference: Bacu, D., Gregory, A. and Temer, C. (1993), Accouning for forward rae in mare for foreign currency, Journa of Finance, 48, Baiie, R. and Boerev, T. (1990), A muivariae generaized ARCH approach o modeing ri premia in forward exchange mare, Journa of Inernaiona Money and Finance, 9, Bahi, G.S. and Naa, A. (1997), Unbiaedne of he forward exchange rae, The Financia Review, 32(1), Beaer, G. (1994), Exchange rae voaiiy and deviaion from unbiaedne in a cahinadvance mode, Journa of Inernaiona Economic, 36, Bhar, R. and Chiarea, C. (2000), "Anayi of ime varying exchange rae ri premia", in AbuMoafa, Y., P. Refene, G. Moody and A. Weigend, ed., Serie on Quaniaive Finance, Kuwer, forhcoming. Bhar, R. and Chiarea, C. (1997), Inere Rae Fuure: Eimaion of Voaiiy Parameer in an ArbirageFree Framewor, Appied Mahemaica Finance, 4, 119. Boudouh, J., M. Richardon, and Smih T. (1993), "I he ex ane ri premium away poiive?", Journa of Financia Economic, 34, Canova, F. (1991), An empirica anayi of ex ane profi from forward pecuaion in foreign exchange mare, Review of Economic and Saiic, 73, Canova, F. and Io, T. (1991), The ime erie properie of he ri premium in he yen/doar exchange mare, Journa of Appied Economeric, 6, Canova, F. and Marrinan, J. (1993), Profi, ri and uncerainy in foreign exchange mare, Journa of Moneary Economic, 32, Cheung, Y. (1993), Exchange rae ri premium, Journa of Inernaiona Money and Finance, 12, Cochrane, J. H. (1999), " New Fac in Finance", NBER Woring Paper Serie, Woring Paper 7169, June Duma, B. (1993), Paria v. Generaequiibrium mode of he inernaiona capia mare, Woring paper No. 4446, NBER, Cambridge, MA. Enge, C. (1996), The forward dicoun anomay and he ri premium: A urvey of recen evidence, Journa of Empirica Finance, 3,

33 Harvey, A. C. (1990), Forecaing rucura ime erie mode and he Kaman fier, Cambridge Univeriy Pre, Cambridge. Harvey, A., Ruiz, E. and Shephard N. (1994), Muivariae Sochaic Variance Mode, Review of Economic Sudie, 61, Hu, J. C. (1997), Opion, Fuure, and Oher Derivaive, Third Ediion, Prenice Ha Inernaiona Inc. Jazwini, A. H. (1970), Sochaic Procee and Fiering Theory, Academic Pre, New Yor. Koeden, P.E. and Paen, E. (1992), Numerica Souion of Sochaic Differenia Equaion, SpringerVerag. Luca, R. E. (1982), Inere rae and currency price in a wo counry word, Journa of Moneary Economic, 10, Nijman, T. E., Pam, F. C., Woff, C. C. P. (1993), Premia in forward exchange rae a unoberved componen, Journa of Buine, Economic and Saiic, 11, Odie, B. (1998), "The word ex ane ri premium: an empirica inveigaion", Journa of Inernaiona Money and Finance, 17, Phiip, P. C. B. and Mcfarand, J. W. (1997), Forward exchange mare unbiaedne: he cae of Auraian doar ince 1984, Journa of Inernaiona Money and Finance, 16, Ro, S. A., Weerfied, R. W. and Jordan, B. J., (1998), Fundamena of corporae finance, IrwinMcGrawHi. Suz, R. (1994), Inernaiona porfoio choice and ae pricing an inegraive urvey, Woring paper No. 4645, NBER, Cambridge, MA. Woff, C. C. P. (1987), Forward foreign exchange rae, expeced po rae, and premia: A ignaexracion approach, The Journa of Finance, XLII (2), Woff, C. C. P. (2000), "Meauring he forward exchange ri premium: muicounry evidence from unoberved componen mode", Journa of Inernaiona Financia mare, Iniuion and Money, 10, 18. Wu, Y. and Zhang, H. (1997), Forward premium a unbiaed predicor of fuure currency depreciaion: a nonparameric anayi, Journa of Inernaiona Money and Finance, 16,

34 34

Wavelet-Based Beta Estimation: Applications to Indian Stock Market

Wavelet-Based Beta Estimation: Applications to Indian Stock Market Wavee-Baed Bea Eimaion: Appicaion o Indian Soc Mare Maabia Deo** Aaif Shah* **Profeor and Head Deparmen of Commerce Schoo of Managemen Pondicherry univeriy-605014 India *Reearch Schoar Deparmen of Commerce

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

MARKET MAKERS S UPPLY AND PRICING OF FINANCIAL MARKET LIQUIDITY

MARKET MAKERS S UPPLY AND PRICING OF FINANCIAL MARKET LIQUIDITY MARKET MAKERS S UPPLY AND PRICING OF FINANCIAL MARKET LIQUIDITY Pu Shen and Ro M. Sarr NOVEMBER 000 RWP 00-03 Reearch Diiion Federa Reere Bank of Kana Ciy Pu Shen i an economi a he Federa Reere Bank of

More information

4. International Parity Conditions

4. International Parity Conditions 4. Inernaional ariy ondiions 4.1 urchasing ower ariy he urchasing ower ariy ( heory is one of he early heories of exchange rae deerminaion. his heory is based on he concep ha he demand for a counry's currency

More information

CHAPTER 11 NONPARAMETRIC REGRESSION WITH COMPLEX SURVEY DATA. R. L. Chambers Department of Social Statistics University of Southampton

CHAPTER 11 NONPARAMETRIC REGRESSION WITH COMPLEX SURVEY DATA. R. L. Chambers Department of Social Statistics University of Southampton CHAPTER 11 NONPARAMETRIC REGRESSION WITH COMPLEX SURVEY DATA R. L. Chamber Deparmen of Social Saiic Univeriy of Souhampon A.H. Dorfman Office of Survey Mehod Reearch Bureau of Labor Saiic M.Yu. Sverchkov

More information

A Comparative Study of Linear and Nonlinear Models for Aggregate Retail Sales Forecasting

A Comparative Study of Linear and Nonlinear Models for Aggregate Retail Sales Forecasting A Comparaive Sudy of Linear and Nonlinear Model for Aggregae Reail Sale Forecaing G. Peer Zhang Deparmen of Managemen Georgia Sae Univeriy Alana GA 30066 (404) 651-4065 Abrac: The purpoe of hi paper i

More information

How has globalisation affected inflation dynamics in the United Kingdom?

How has globalisation affected inflation dynamics in the United Kingdom? 292 Quarerly Bullein 2008 Q3 How ha globaliaion affeced inflaion dynamic in he Unied Kingdom? By Jennifer Greenlade and Sephen Millard of he Bank Srucural Economic Analyi Diviion and Chri Peacock of he

More information

2.4 Network flows. Many direct and indirect applications telecommunication transportation (public, freight, railway, air, ) logistics

2.4 Network flows. Many direct and indirect applications telecommunication transportation (public, freight, railway, air, ) logistics .4 Nework flow Problem involving he diribuion of a given produc (e.g., waer, ga, daa, ) from a e of producion locaion o a e of uer o a o opimize a given objecive funcion (e.g., amoun of produc, co,...).

More information

Hedging with Forwards and Futures

Hedging with Forwards and Futures Hedging wih orwards and uures Hedging in mos cases is sraighforward. You plan o buy 10,000 barrels of oil in six monhs and you wish o eliminae he price risk. If you ake he buy-side of a forward/fuures

More information

Fortified financial forecasting models: non-linear searching approaches

Fortified financial forecasting models: non-linear searching approaches 0 Inernaional Conference on Economic and inance Reearch IPEDR vol.4 (0 (0 IACSIT Pre, Singapore orified financial forecaing model: non-linear earching approache Mohammad R. Hamidizadeh, Ph.D. Profeor,

More information

Two-Group Designs Independent samples t-test & paired samples t-test. Chapter 10

Two-Group Designs Independent samples t-test & paired samples t-test. Chapter 10 Two-Group Deign Independen ample -e & paired ample -e Chaper 0 Previou e (Ch 7 and 8) Z-e z M N -e (one-ample) M N M = andard error of he mean p. 98-9 Remember: = variance M = eimaed andard error p. -

More information

Journal Of Business & Economics Research September 2005 Volume 3, Number 9

Journal Of Business & Economics Research September 2005 Volume 3, Number 9 Opion Pricing And Mone Carlo Simulaions George M. Jabbour, (Email: jabbour@gwu.edu), George Washingon Universiy Yi-Kang Liu, (yikang@gwu.edu), George Washingon Universiy ABSTRACT The advanage of Mone Carlo

More information

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements Inroducion Chaper 14: Dynamic D-S dynamic model of aggregae and aggregae supply gives us more insigh ino how he economy works in he shor run. I is a simplified version of a DSGE model, used in cuing-edge

More information

How To Understand The Long Run Behavior Of Aving Rae

How To Understand The Long Run Behavior Of Aving Rae Subience Conumpion and Riing Saving Rae Kenneh S. Lin a, Hiu-Yun Lee b * a Deparmen of Economic, Naional Taiwan Univeriy, Taipei, 00, Taiwan. b Deparmen of Economic, Naional Chung Cheng Univeriy, Chia-Yi,

More information

Chapter 6: Business Valuation (Income Approach)

Chapter 6: Business Valuation (Income Approach) Chaper 6: Business Valuaion (Income Approach) Cash flow deerminaion is one of he mos criical elemens o a business valuaion. Everyhing may be secondary. If cash flow is high, hen he value is high; if he

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion

More information

MTH6121 Introduction to Mathematical Finance Lesson 5

MTH6121 Introduction to Mathematical Finance Lesson 5 26 MTH6121 Inroducion o Mahemaical Finance Lesson 5 Conens 2.3 Brownian moion wih drif........................... 27 2.4 Geomeric Brownian moion........................... 28 2.5 Convergence of random

More information

Heat demand forecasting for concrete district heating system

Heat demand forecasting for concrete district heating system Hea demand forecaing for concree diric heaing yem Bronilav Chramcov Abrac Thi paper preen he reul of an inveigaion of a model for hor-erm hea demand forecaing. Foreca of hi hea demand coure i ignifican

More information

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation A Noe on Using he Svensson procedure o esimae he risk free rae in corporae valuaion By Sven Arnold, Alexander Lahmann and Bernhard Schwezler Ocober 2011 1. The risk free ineres rae in corporae valuaion

More information

Calculation of variable annuity market sensitivities using a pathwise methodology

Calculation of variable annuity market sensitivities using a pathwise methodology cuing edge Variable annuiie Calculaion of variable annuiy marke eniiviie uing a pahwie mehodology Under radiional finie difference mehod, he calculaion of variable annuiy eniiviie can involve muliple Mone

More information

Usefulness of the Forward Curve in Forecasting Oil Prices

Usefulness of the Forward Curve in Forecasting Oil Prices Usefulness of he Forward Curve in Forecasing Oil Prices Akira Yanagisawa Leader Energy Demand, Supply and Forecas Analysis Group The Energy Daa and Modelling Cener Summary When people analyse oil prices,

More information

Long Term Spread Option Valuation and Hedging

Long Term Spread Option Valuation and Hedging Long Term Spread Opion Valuaion and Hedging M.A.H. Demper, Elena Medova and Ke Tang Cenre for Financial Reearch, Judge Buine School, Univeriy of Cambridge, Trumpingon Sree, Cambridge CB 1AG & Cambridge

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

Vector Autoregressions (VARs): Operational Perspectives

Vector Autoregressions (VARs): Operational Perspectives Vecor Auoregressions (VARs): Operaional Perspecives Primary Source: Sock, James H., and Mark W. Wason, Vecor Auoregressions, Journal of Economic Perspecives, Vol. 15 No. 4 (Fall 2001), 101-115. Macroeconomericians

More information

VOLATILITY DYNAMICS OF NYMEX NATURAL GAS FUTURES PRICES

VOLATILITY DYNAMICS OF NYMEX NATURAL GAS FUTURES PRICES VOLATILITY DYNAMICS OF NYMEX NATURAL GAS FUTURES PRICES Hiroaki Suenaga Reearch Fellow School of Economic and Finance Curin Buine School Curin Univeriy of Technology Aaron Smih Aian Profeor Deparmen of

More information

New Evidence on Mutual Fund Performance: A Comparison of Alternative Bootstrap Methods. David Blake* Tristan Caulfield** Christos Ioannidis*** and

New Evidence on Mutual Fund Performance: A Comparison of Alternative Bootstrap Methods. David Blake* Tristan Caulfield** Christos Ioannidis*** and New Evidence on Muual Fund Performance: A Comparion of Alernaive Boorap Mehod David Blake* Trian Caulfield** Chrio Ioannidi*** and Ian Tonk**** June 2014 Abrac Thi paper compare he wo boorap mehod of Koowki

More information

INFORMATION, INVESTMENT, AND THE STOCK MARKET: A STUDY OF INVESTMENT REVISION DATA OF JAPANESE MANUFACTURING INDUSTRIES

INFORMATION, INVESTMENT, AND THE STOCK MARKET: A STUDY OF INVESTMENT REVISION DATA OF JAPANESE MANUFACTURING INDUSTRIES Discussion Paper No. 681 INFORMATION, INVESTMENT, AND THE STOCK MARKET: A STUDY OF INVESTMENT REVISION DATA OF JAPANESE MANUFACTURING INDUSTRIES Kazuo Ogawa and Kazuyuki Suzuki January 2007 The Insiue

More information

Equity Valuation Using Multiples. Jing Liu. Anderson Graduate School of Management. University of California at Los Angeles (310) 206-5861

Equity Valuation Using Multiples. Jing Liu. Anderson Graduate School of Management. University of California at Los Angeles (310) 206-5861 Equiy Valuaion Uing Muliple Jing Liu Anderon Graduae School of Managemen Univeriy of California a Lo Angele (310) 206-5861 jing.liu@anderon.ucla.edu Doron Niim Columbia Univeriy Graduae School of Buine

More information

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

Regression with Stationary Time Series

Regression with Stationary Time Series CHAPER Regreion wih Saionary ime Serie. Spuriou Regreion: Why Saionariy I Imporan For many decade, economi (paricularly macroeconomi) ran ime-erie regreion baed on he Gau-Markov mehodology ha we udied

More information

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas

The Greek financial crisis: growing imbalances and sovereign spreads. Heather D. Gibson, Stephan G. Hall and George S. Tavlas The Greek financial crisis: growing imbalances and sovereign spreads Heaher D. Gibson, Sephan G. Hall and George S. Tavlas The enry The enry of Greece ino he Eurozone in 2001 produced a dividend in he

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

Chapter 1.6 Financial Management

Chapter 1.6 Financial Management Chaper 1.6 Financial Managemen Par I: Objecive ype quesions and answers 1. Simple pay back period is equal o: a) Raio of Firs cos/ne yearly savings b) Raio of Annual gross cash flow/capial cos n c) = (1

More information

I S T H E A U S T R A L I A N F O R E X M A R K E T E F F I C I E N T? A T E S T O F T H E F O R W A R D R A T E

I S T H E A U S T R A L I A N F O R E X M A R K E T E F F I C I E N T? A T E S T O F T H E F O R W A R D R A T E I S T H E A U S T R A L I A N F O R E X M A R K E T E F F I C I E N T? A T E S T O F T H E F O R W A R D R A T E U N B I A S E D N E S S H Y P O T H E S I S By D.E. Allen and Paul Taco School o Accouning,

More information

Option Put-Call Parity Relations When the Underlying Security Pays Dividends

Option Put-Call Parity Relations When the Underlying Security Pays Dividends Inernaional Journal of Business and conomics, 26, Vol. 5, No. 3, 225-23 Opion Pu-all Pariy Relaions When he Underlying Securiy Pays Dividends Weiyu Guo Deparmen of Finance, Universiy of Nebraska Omaha,

More information

CHARGE AND DISCHARGE OF A CAPACITOR

CHARGE AND DISCHARGE OF A CAPACITOR REFERENCES RC Circuis: Elecrical Insrumens: Mos Inroducory Physics exs (e.g. A. Halliday and Resnick, Physics ; M. Sernheim and J. Kane, General Physics.) This Laboraory Manual: Commonly Used Insrumens:

More information

Cointegration: The Engle and Granger approach

Cointegration: The Engle and Granger approach Coinegraion: The Engle and Granger approach Inroducion Generally one would find mos of he economic variables o be non-saionary I(1) variables. Hence, any equilibrium heories ha involve hese variables require

More information

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES OPENGAMMA QUANTITATIVE RESEARCH Absrac. Exchange-raded ineres rae fuures and heir opions are described. The fuure opions include hose paying

More information

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS Hong Mao, Shanghai Second Polyechnic Universiy Krzyszof M. Osaszewski, Illinois Sae Universiy Youyu Zhang, Fudan Universiy ABSTRACT Liigaion, exper

More information

Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya.

Principal components of stock market dynamics. Methodology and applications in brief (to be updated ) Andrei Bouzaev, bouzaev@ya. Principal componens of sock marke dynamics Mehodology and applicaions in brief o be updaed Andrei Bouzaev, bouzaev@ya.ru Why principal componens are needed Objecives undersand he evidence of more han one

More information

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches. Appendi A: Area worked-ou s o Odd-Numbered Eercises Do no read hese worked-ou s before aemping o do he eercises ourself. Oherwise ou ma mimic he echniques shown here wihou undersanding he ideas. Bes wa

More information

Return Calculation of U.S. Treasury Constant Maturity Indices

Return Calculation of U.S. Treasury Constant Maturity Indices Reurn Calculaion of US Treasur Consan Mauri Indices Morningsar Mehodolog Paper Sepeber 30 008 008 Morningsar Inc All righs reserved The inforaion in his docuen is he proper of Morningsar Inc Reproducion

More information

The International Investment Position of Jamaica: An Estimation Approach

The International Investment Position of Jamaica: An Estimation Approach WP/04 The Inernaional Invemen Poiion of Jamaica: An Eimaion Approach Dane Docor* Economic Informaion & Publicaion Deparmen Bank of Jamaica Ocober 2004 Abrac Thi paper eek o inroduce he inernaional invemen

More information

Chapter 9 Bond Prices and Yield

Chapter 9 Bond Prices and Yield Chaper 9 Bond Prices and Yield Deb Classes: Paymen ype A securiy obligaing issuer o pay ineress and principal o he holder on specified daes, Coupon rae or ineres rae, e.g. 4%, 5 3/4%, ec. Face, par value

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1

The naive method discussed in Lecture 1 uses the most recent observations to forecast future values. That is, Y ˆ t + 1 Business Condiions & Forecasing Exponenial Smoohing LECTURE 2 MOVING AVERAGES AND EXPONENTIAL SMOOTHING OVERVIEW This lecure inroduces ime-series smoohing forecasing mehods. Various models are discussed,

More information

Modeling VIX Futures and Pricing VIX Options in the Jump Diusion Modeling

Modeling VIX Futures and Pricing VIX Options in the Jump Diusion Modeling Modeling VIX Fuures and Pricing VIX Opions in he Jump Diusion Modeling Faemeh Aramian Maseruppsas i maemaisk saisik Maser hesis in Mahemaical Saisics Maseruppsas 2014:2 Maemaisk saisik April 2014 www.mah.su.se

More information

Communication Networks II Contents

Communication Networks II Contents 3 / 1 -- Communicaion Neworks II (Görg) -- www.comnes.uni-bremen.de Communicaion Neworks II Conens 1 Fundamenals of probabiliy heory 2 Traffic in communicaion neworks 3 Sochasic & Markovian Processes (SP

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

A Re-examination of the Joint Mortality Functions

A Re-examination of the Joint Mortality Functions Norh merican cuarial Journal Volume 6, Number 1, p.166-170 (2002) Re-eaminaion of he Join Morali Funcions bsrac. Heekung Youn, rkad Shemakin, Edwin Herman Universi of S. Thomas, Sain Paul, MN, US Morali

More information

AP Calculus AB 2013 Scoring Guidelines

AP Calculus AB 2013 Scoring Guidelines AP Calculus AB 1 Scoring Guidelines The College Board The College Board is a mission-driven no-for-profi organizaion ha connecs sudens o college success and opporuniy. Founded in 19, he College Board was

More information

Term Structure of Prices of Asian Options

Term Structure of Prices of Asian Options Term Srucure of Prices of Asian Opions Jirô Akahori, Tsuomu Mikami, Kenji Yasuomi and Teruo Yokoa Dep. of Mahemaical Sciences, Risumeikan Universiy 1-1-1 Nojihigashi, Kusasu, Shiga 525-8577, Japan E-mail:

More information

Empirical heuristics for improving Intermittent Demand Forecasting

Empirical heuristics for improving Intermittent Demand Forecasting Empirical heuriic for improving Inermien Demand Forecaing Foio Peropoulo 1,*, Konanino Nikolopoulo 2, Georgio P. Spihouraki 1, Vailio Aimakopoulo 1 1 Forecaing & Sraegy Uni, School of Elecrical and Compuer

More information

On the Connection Between Multiple-Unicast Network Coding and Single-Source Single-Sink Network Error Correction

On the Connection Between Multiple-Unicast Network Coding and Single-Source Single-Sink Network Error Correction On he Connecion Beween Muliple-Unica ework Coding and Single-Source Single-Sink ework Error Correcion Jörg Kliewer JIT Join work wih Wenao Huang and Michael Langberg ework Error Correcion Problem: Adverary

More information

Trading Strategies for Sliding, Rolling-horizon, and Consol Bonds

Trading Strategies for Sliding, Rolling-horizon, and Consol Bonds Trading Sraegie for Sliding, Rolling-horizon, and Conol Bond MAREK RUTKOWSKI Iniue of Mahemaic, Poliechnika Warzawka, -661 Warzawa, Poland Abrac The ime evoluion of a liding bond i udied in dicree- and

More information

Nikkei Stock Average Volatility Index Real-time Version Index Guidebook

Nikkei Stock Average Volatility Index Real-time Version Index Guidebook Nikkei Sock Average Volailiy Index Real-ime Version Index Guidebook Nikkei Inc. Wih he modificaion of he mehodology of he Nikkei Sock Average Volailiy Index as Nikkei Inc. (Nikkei) sars calculaing and

More information

Capacitors and inductors

Capacitors and inductors Capaciors and inducors We coninue wih our analysis of linear circuis by inroducing wo new passive and linear elemens: he capacior and he inducor. All he mehods developed so far for he analysis of linear

More information

Chapter 13. Network Flow III Applications. 13.1 Edge disjoint paths. 13.1.1 Edge-disjoint paths in a directed graphs

Chapter 13. Network Flow III Applications. 13.1 Edge disjoint paths. 13.1.1 Edge-disjoint paths in a directed graphs Chaper 13 Nework Flow III Applicaion CS 573: Algorihm, Fall 014 Ocober 9, 014 13.1 Edge dijoin pah 13.1.1 Edge-dijoin pah in a direced graph 13.1.1.1 Edge dijoin pah queiong: graph (dir/undir)., : verice.

More information

The First Mathematically Correct Life Annuity Valuation Formula *

The First Mathematically Correct Life Annuity Valuation Formula * James E. Ciecka. 008. he Firs Mahemaicay Correc Life Annuiy. Journa of Lega Economics 5(): pp. 59-63. he Firs Mahemaicay Correc Life Annuiy Vauaion Formua * he sory of he firs acuariay correc specificaion

More information

Chapter 8 Student Lecture Notes 8-1

Chapter 8 Student Lecture Notes 8-1 Chaper Suden Lecure Noes - Chaper Goals QM: Business Saisics Chaper Analyzing and Forecasing -Series Daa Afer compleing his chaper, you should be able o: Idenify he componens presen in a ime series Develop

More information

OPTIMAL BATCH QUANTITY MODELS FOR A LEAN PRODUCTION SYSTEM WITH REWORK AND SCRAP. A Thesis

OPTIMAL BATCH QUANTITY MODELS FOR A LEAN PRODUCTION SYSTEM WITH REWORK AND SCRAP. A Thesis OTIMAL BATH UANTITY MOELS FOR A LEAN ROUTION SYSTEM WITH REWORK AN SRA A Thei Submied o he Graduae Faculy of he Louiiana Sae Univeriy and Agriculural and Mechanical ollege in parial fulfillmen of he requiremen

More information

PROFITS AND POSITION CONTROL: A WEEK OF FX DEALING

PROFITS AND POSITION CONTROL: A WEEK OF FX DEALING PROFITS AND POSITION CONTROL: A WEEK OF FX DEALING Richard K. Lyon U.C. Berkeley and NBER Thi verion: June 1997 Abrac Thi paper examine foreign exchange rading a he dealer level. The dealer we rack average

More information

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS R. Caballero, E. Cerdá, M. M. Muñoz and L. Rey () Deparmen of Applied Economics (Mahemaics), Universiy of Málaga,

More information

Individual Health Insurance April 30, 2008 Pages 167-170

Individual Health Insurance April 30, 2008 Pages 167-170 Individual Healh Insurance April 30, 2008 Pages 167-170 We have received feedback ha his secion of he e is confusing because some of he defined noaion is inconsisen wih comparable life insurance reserve

More information

Modeling Energy American Options in the Non-Markovian Approach

Modeling Energy American Options in the Non-Markovian Approach Modeling Energy American Opion in he Non-Markovian Approach Valery Kholodnyi Vienna Auria 06.05.015 VERBUND AG www.verbund.com Ouline Ouline Inroducion Mehodology he Non-Markovian Approach Modeling Energy

More information

Monetary Policy & Real Estate Investment Trusts *

Monetary Policy & Real Estate Investment Trusts * Moneary Policy & Real Esae Invesmen Truss * Don Bredin, Universiy College Dublin, Gerard O Reilly, Cenral Bank and Financial Services Auhoriy of Ireland & Simon Sevenson, Cass Business School, Ciy Universiy

More information

Credit Index Options: the no-armageddon pricing measure and the role of correlation after the subprime crisis

Credit Index Options: the no-armageddon pricing measure and the role of correlation after the subprime crisis Second Conference on The Mahemaics of Credi Risk, Princeon May 23-24, 2008 Credi Index Opions: he no-armageddon pricing measure and he role of correlaion afer he subprime crisis Damiano Brigo - Join work

More information

Present Value Methodology

Present Value Methodology Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer

More information

Cross-sectional and longitudinal weighting in a rotational household panel: applications to EU-SILC. Vijay Verma, Gianni Betti, Giulio Ghellini

Cross-sectional and longitudinal weighting in a rotational household panel: applications to EU-SILC. Vijay Verma, Gianni Betti, Giulio Ghellini Cro-ecional and longiudinal eighing in a roaional houehold panel: applicaion o EU-SILC Viay Verma, Gianni Bei, Giulio Ghellini Working Paper n. 67, December 006 CROSS-SECTIONAL AND LONGITUDINAL WEIGHTING

More information

AP Calculus BC 2010 Scoring Guidelines

AP Calculus BC 2010 Scoring Guidelines AP Calculus BC Scoring Guidelines The College Board The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and opporuniy. Founded in, he College Board

More information

The Equivalent Loan Principle and the Value of Corporate Promised Cash Flows. David C. Nachman*

The Equivalent Loan Principle and the Value of Corporate Promised Cash Flows. David C. Nachman* he Equivalen Loan Principle and he Value of Corporae Promied Cah Flow by David C. Nachman* Revied February, 2002 *J. Mack Robinon College of Buine, Georgia Sae Univeriy, 35 Broad Sree, Alana, GA 30303-3083.

More information

SPEC model selection algorithm for ARCH models: an options pricing evaluation framework

SPEC model selection algorithm for ARCH models: an options pricing evaluation framework Applied Financial Economics Leers, 2008, 4, 419 423 SEC model selecion algorihm for ARCH models: an opions pricing evaluaion framework Savros Degiannakis a, * and Evdokia Xekalaki a,b a Deparmen of Saisics,

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

More information

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613. Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised

More information

Policies & Procedures. I.D. Number: 1071

Policies & Procedures. I.D. Number: 1071 Policie & Procedure Tile: Licened Pracical Nure (LPN ) ADDED SKILLS (Aigned Funcion) Auhorizaion: [x] SHR Nuring Pracice Commiee I.D. Number: 1071 Source: Nuring Dae Revied: Sepember 2004 Dae Effecive:

More information

BALANCE OF PAYMENTS. First quarter 2008. Balance of payments

BALANCE OF PAYMENTS. First quarter 2008. Balance of payments BALANCE OF PAYMENTS DATE: 2008-05-30 PUBLISHER: Balance of Paymens and Financial Markes (BFM) Lena Finn + 46 8 506 944 09, lena.finn@scb.se Camilla Bergeling +46 8 506 942 06, camilla.bergeling@scb.se

More information

Signal Rectification

Signal Rectification 9/3/25 Signal Recificaion.doc / Signal Recificaion n imporan applicaion of juncion diodes is signal recificaion. here are wo ypes of signal recifiers, half-wae and fullwae. Le s firs consider he ideal

More information

Differential Equations and Linear Superposition

Differential Equations and Linear Superposition Differenial Equaions and Linear Superposiion Basic Idea: Provide soluion in closed form Like Inegraion, no general soluions in closed form Order of equaion: highes derivaive in equaion e.g. dy d dy 2 y

More information

Pricing Fixed-Income Derivaives wih he Forward-Risk Adjused Measure Jesper Lund Deparmen of Finance he Aarhus School of Business DK-8 Aarhus V, Denmark E-mail: jel@hha.dk Homepage: www.hha.dk/~jel/ Firs

More information

ARCH 2013.1 Proceedings

ARCH 2013.1 Proceedings Aricle from: ARCH 213.1 Proceedings Augus 1-4, 212 Ghislain Leveille, Emmanuel Hamel A renewal model for medical malpracice Ghislain Léveillé École d acuaria Universié Laval, Québec, Canada 47h ARC Conference

More information

II.1. Debt reduction and fiscal multipliers. dbt da dpbal da dg. bal

II.1. Debt reduction and fiscal multipliers. dbt da dpbal da dg. bal Quarerly Repor on he Euro Area 3/202 II.. Deb reducion and fiscal mulipliers The deerioraion of public finances in he firs years of he crisis has led mos Member Saes o adop sizeable consolidaion packages.

More information

4 Convolution. Recommended Problems. x2[n] 1 2[n]

4 Convolution. Recommended Problems. x2[n] 1 2[n] 4 Convoluion Recommended Problems P4.1 This problem is a simple example of he use of superposiion. Suppose ha a discree-ime linear sysem has oupus y[n] for he given inpus x[n] as shown in Figure P4.1-1.

More information

A Note on the Impact of Options on Stock Return Volatility. Nicolas P.B. Bollen

A Note on the Impact of Options on Stock Return Volatility. Nicolas P.B. Bollen A Noe on he Impac of Opions on Sock Reurn Volailiy Nicolas P.B. Bollen ABSTRACT This paper measures he impac of opion inroducions on he reurn variance of underlying socks. Pas research generally finds

More information

Estimating the Term Structure with Macro Dynamics in a Small Open Economy

Estimating the Term Structure with Macro Dynamics in a Small Open Economy Esimaing he Term Srucure wih Macro Dynamics in a Small Open Economy Fousseni Chabi-Yo Bank of Canada Jun Yang Bank of Canada April 18, 2006 Preliminary work. Please do no quoe wihou permission. The paper

More information

Time Series Analysis Using SAS R Part I The Augmented Dickey-Fuller (ADF) Test

Time Series Analysis Using SAS R Part I The Augmented Dickey-Fuller (ADF) Test ABSTRACT Time Series Analysis Using SAS R Par I The Augmened Dickey-Fuller (ADF) Tes By Ismail E. Mohamed The purpose of his series of aricles is o discuss SAS programming echniques specifically designed

More information

How To Calculate Price Elasiciy Per Capia Per Capi

How To Calculate Price Elasiciy Per Capia Per Capi Price elasiciy of demand for crude oil: esimaes for 23 counries John C.B. Cooper Absrac This paper uses a muliple regression model derived from an adapaion of Nerlove s parial adjusmen model o esimae boh

More information

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore heoreical Noes: he oppler Eec wih ound Imagine a ource () o sound waes ha emis waes haing requency and hereore period as measured in he res rame o he ource (). his means ha any eecor () ha is no moing

More information

MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR

MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR MACROECONOMIC FORECASTS AT THE MOF A LOOK INTO THE REAR VIEW MIRROR The firs experimenal publicaion, which summarised pas and expeced fuure developmen of basic economic indicaors, was published by he Minisry

More information

Interest Rate Spreads and Mandatory Credit Allocations: Implications on Banks Loans to Small Businesses in Indonesia

Interest Rate Spreads and Mandatory Credit Allocations: Implications on Banks Loans to Small Businesses in Indonesia Dicuion Paper No. 0402 Inere Rae Spread and Mandaory Credi Allocaion: Implicaion on Bank oan o Small Buinee in Indoneia Reza Y. Siregar January 2004 Indoneia Program Univeriy of Adelaide Adelaide 5005

More information

How To Price An Opion

How To Price An Opion HE PERFORMANE OF OPION PRIING MODEL ON HEDGING EXOI OPION Firs Draf: May 5 003 his Version Oc. 30 003 ommens are welcome Absrac his paper examines he empirical performance of various opion pricing models

More information

A general decomposition formula for derivative prices in stochastic volatility models

A general decomposition formula for derivative prices in stochastic volatility models A general decomposiion formula for derivaive prices in sochasic volailiy models Elisa Alòs Universia Pompeu Fabra C/ Ramón rias Fargas, 5-7 85 Barcelona Absrac We see ha he price of an european call opion

More information

The yield curve, and spot and forward interest rates Moorad Choudhry

The yield curve, and spot and forward interest rates Moorad Choudhry he yield curve, and spo and forward ineres raes Moorad Choudhry In his primer we consider he zero-coupon or spo ineres rae and he forward rae. We also look a he yield curve. Invesors consider a bond yield

More information

WHAT ARE OPTION CONTRACTS?

WHAT ARE OPTION CONTRACTS? WHAT ARE OTION CONTRACTS? By rof. Ashok anekar An oion conrac is a derivaive which gives he righ o he holder of he conrac o do 'Somehing' bu wihou he obligaion o do ha 'Somehing'. The 'Somehing' can be

More information

Stock option grants have become an. Final Approval Copy. Valuation of Stock Option Grants Under Multiple Severance Risks GURUPDESH S.

Stock option grants have become an. Final Approval Copy. Valuation of Stock Option Grants Under Multiple Severance Risks GURUPDESH S. Valuaion of Sock Opion Gran Under Muliple Severance Rik GURUPDESH S. PANDHER i an aian profeor in he deparmen of finance a DePaul Univeriy in Chicago, IL. gpandher@depaul.edu GURUPDESH S. PANDHER Execuive

More information

Dependent Interest and Transition Rates in Life Insurance

Dependent Interest and Transition Rates in Life Insurance Dependen Ineres and ransiion Raes in Life Insurance Krisian Buchard Universiy of Copenhagen and PFA Pension January 28, 2013 Absrac In order o find marke consisen bes esimaes of life insurance liabiliies

More information

Volatility spillovers between crude oil futures returns and oil company stock returns

Volatility spillovers between crude oil futures returns and oil company stock returns 8 h Word IMACS / MODSIM Congress, Cairns, Ausraia 3-7 Juy 2009 hp://mssanz.org.au/modsim09 Voaiiy spiovers beween crude oi fuures reurns and oi company sock reurns Tansucha, R.,2, M. McAeer 3, 4 and C.

More information

Diagnostic Examination

Diagnostic Examination Diagnosic Examinaion TOPIC XV: ENGINEERING ECONOMICS TIME LIMIT: 45 MINUTES 1. Approximaely how many years will i ake o double an invesmen a a 6% effecive annual rae? (A) 10 yr (B) 12 yr (C) 15 yr (D)

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

THE IMPACT OF CUBES ON THE MARKET QUALITY OF NASDAQ 100 INDEX FUTURES

THE IMPACT OF CUBES ON THE MARKET QUALITY OF NASDAQ 100 INDEX FUTURES Invesmen Managemen and Financial Innovaions, Volume 3, Issue 3, 2006 117 THE IMPACT OF CUBES ON THE MARKET QUALITY OF NASDAQ 100 INDEX FUTURES Seyfein Unal, M. Mesu Kayali, Cuney Koyuncu Absrac Using Hasbrouck

More information