Earnings-consumption betas and stock valuation

Size: px
Start display at page:

Download "Earnings-consumption betas and stock valuation"

Transcription

1 : Amecan J. nance and Accounn anns-consumpon beas and sock valuaon laude Beeon* École des scences de l admnsaon (SA Unvesé du Québec (TÉLUQ Québec Québec anada mal: claude.beeon@eluq.ca *oespondn auho Jean-ee Gueye and Komlan Sedzo École des scences de la eson (SG Unvesé du Québec à Monéal (UQÀM Monéal Québec anada mal: ueye.jean-pee@uqam.ca mal: sedzo.k@uqam.ca Absac: Ths pape neaes he lon-un covaance beween aeae consumpon and fm eanns no he sock valuaon pocess. Afe assumn ha fms adjus he dvdend paymens owad a ae dvdend payou ao we use he neempoal famewok of he consumpon capal asse pcn model (AM o exploe he effec of sysemac eanns sks on nnsc sock values. Ou man esuls show ha he equlbum pce of a sock s posvely elaed o s lon-un eanns owh ae and neavely elaed o s eanns-consumpon bea obaned fom s lon-un covaance beween eanns owh and aeae consumpon owh. Ths suess ha lon-un sk measued wh eanns affecs he heoecal value of a fm. Oveall ou wok suess ha he lon-un concep of sk usn accounn eanns epesens an appopae paamee fo esman he equy value of a fm. Keywods: Sock valuaon; Accounn bea; Ineempoal model; Lon-un sk; AM. Refeence o hs pape should be made as follows: Beeon. Gueye J-. and Sedzo K. (20X ʻanns-consumpon beas and sock valuaonʼ Amecan J. nance and Accounn Vol. XX No. X pp. XX-XX. Boaphcal noes: laude Beeon hd s an Assocae ofesso of nance a he Unvesy of Quebec (TÉLUQ anada. Hs eseach neess ae n dvdend polcy sock valuaon and neempoal models. He has publshed eseach papes n nenaonal pee-evewed jounals such as Jounal of conomcs and nance (Spne nance Reseach Lees (lseve Amecan Jounal of nance and Accounn (Indescence néco (Laval Unvesy and Inenaonal Jounal of conomcs and nance (Toono. D Beeon s he coespondn auho and can be conaced a: claude.beeon@eluq.ca

2 2 anns-consumpon beas and sock valuaon Jean-ee Gueye hd s an Assocae ofesso a he School of Manaemen Unvesy of Quebec n Moneal. He eceved hs h.d. fom Laval Unvesy anada. He has publshed seveal papes n efeeed scenfc jounals. Komlan Sedzo hd s a ofesso a he School of Manaemen of Unvesy of Quebec n Moneal (SG-UQAM. ofesso Sedzo has a boad ane of eseach neess encompassn such aeas as ovenance and pefomance evaluaon of fnancal and mcoced nsuons copoae fnance opmal pofolo allocaon alenave nvesmens ncludn hede funds eal esae and commody devaves and he applcaon of opeaonal eseach mehods n fnance. He has publshed numeous acles and ven pesenaons a vaous nenaonal confeences on hese opcs. Inoducon Accodn o Nekasov and Shoff (2009 measuemen of sk s pehaps he snlemos dffcul ask n valun a secuy. In addon accodn o he auhos f fm value s deemned by fundamenal vaables such as eanns hen would make sense o measue sk decly fom fundamenals. These pons of vew ae conssen wh consdeable eseach esablshn he empcal o heoecal elaon beween accounn vaables and make sk. o example Beave e al. (970 fnd a snfcan coelaon beween sandad make beas and accounn beas. Beave and Maneold (975 eveal a noewohy assocaon beween make and accounn beas as measued unde a vaey of specfcaons. Ismal and Km (989 confm po fndns abou he snfcan elaon beween make beas and eanns beas usn fou dffeen accounn eun vaables. 2 Kaels and Sackley (993 examne he sascal elaonshp beween make and accounn beas n he U.S. bankn ndusy. The esuls ndcae ha he accounn beas ae coelaed wh he make counepas a levels smla o ohe (non-bankn sudes. Bansk and Wahlen (2003 show ha accounn beas ae snfcanly posvely elaed o he pced sk pemums n unvaae eessons bu povde only lmed explanaoy powe. Nekasov and Shoff (2009 use he esdual ncome valuaon model o analycally deve a smple sk adjusmen ha equals he covaance beween a fm s eun on book equy (RO and economy-wde sk facos. Oveall he empcal esuls valdae he fundamenal accounn sk measues. In a ecen pape Da (2009 poposes a novel way o esmae sysemac sk usn exclusvely lon-un accounn eanns and aeae consumpon daa. Moe pecsely he auho poposes ha he covaance beween lon-un accounn eun and lon-un aeae consumpon epesens an appopae empcal measue of sk. Hs esuls show ha hs measue of sk explans 58% of he cossseconal vaaon n sk pema. If we add a duaon measue he model explans

3 . Beeon J-. Gueye and K. Sedzo 3 moe han 80%. Lkewse Da and Waachka (2009 consuc an analys eanns bea ha measues he covaance beween he cash flow nnovaon of an asse and hose of he make. They fnd evdence ha hs cash flow sk measue s pced n he coss-secon of expeced sock euns (see also Schluee and Seves 204. As Goyal (202 p. 29 menoned n hs asse pcn leaue evew Da s model s vey useful n explann euns. Also as Ball and Sadka (205 p. 5 poned ou sudes on sysemac eanns sk epesen a pomsn avenue fo fuhe eseach. In hs pape we consuc a sock valuaon model ha neaes he lon-un covaance beween eanns and aeae consumpon. Smlaly o Da s sudy ou sock valuaon model exends he mpoan concep of lon-un sk fs naed by Bansal and Yaon (2004 and Bansal e al. (2005. Bansal and Yaon (2004 eveal ha ha consumpon and dvdend owh aes nclude a small lon-un componen ha n conjuncon wh psen and Zn s (989 pefeences explans key asse make phenomena and esolves he equy pemum puzzle. Bansal e al. (2005 also show ha cash flow beas a measue of sk calculaed by he lon-un covaance beween dvdend owh and aeae consumpon owh accoun fo moe han 60% of he coss-seconal vaaon n sk pema. Accodn o Beele and ampbell (202 he lon-un sks model of Bansal and Yaon (2004 and Bansal e al. (2005 has aaced a ea deal of aenon wh mpoan subsequen wok by Hansen e al. (2008 Bansal e al. (2009 Bansal and Kku (20 and Bansal and Shalasovch (203 amon ohes. Alon hese lnes Beeon (203-A develops a heoecal sock valuaon model ha consdes he lon-un sensvy of dvdends o aeae consumpon and Beeon (203-B exends hs model o vaous economc facos. As lon e al. (204 noed he coec way o deemne he nnsc value of socks has occuped an enomous amoun of effo ove a lon peod of me. 3 Indeed follown he adonal models of Godon (962 Basu (977 and Ohlson (995 many ohe exenson models have been poposed o esmae he value of a sock. xamples nclude elham and Ohlson (999 aso and Veones (2003 Baksh and hen (2005 Don and Hshlefe (2005 Yee ( and Huley (203 n addon o Beeon (203-A 203-B. Neveheless none of hese above-menoned woks develop a heoecal sock valuaon model ha explcly neaes he lon-un covaance beween eanns owh and aeae consumpon owh decly no he nnsc value. In hs sense we can aue ha he movaon of he pesen pape comes fom he follown obsevaons: ( he success of he ecen concep of lon-un sk; (2 he empcal success of he lon-un covaance beween eanns and consumpon as

4 4 anns-consumpon beas and sock valuaon an appopae measue of sk; (3 he mpoance of sock valuaon n fnance; (4 he absence of a heoecal sock valuaon model ha explcly neaes he lonun eanns-consumpon covaance as a measue of sk. The developmen of ou model nvolves he follown seps. s we chaacese he hypohecal economy usn he neempoal equlbum famewok of he consumpon capal asse pcn model (AM of Rubnsen (976 Lucas (978 and Beeden (979. Then we show unde cean condons ha eanns and sock pces ae pefecly coneaed and ha andom fuue pces and eanns ae decly and sochascally elaed. Nex we demonsae ha a sock s eanns owh s posvely elaed o s lon-un covaance beween eanns and aeae consumpon. nally we solae he equlbum sock pce fom he above elaonshp. In hs manne we show ha he nnsc value of a sock s posvely elaed o s lon-un eanns owh ae and neavely elaed o s eannsconsumpon bea measued by he lon-un covaance beween he eanns owh ae of he sock and he lon-un owh ae of he aeae consumpon dvded by he lon-un owh ae of he aeae consumpon. Theeby he man conbuon of he model s o demonsae ha eannsconsumpon beas affec fm heoecal values. In addon ou wok suess ha he eanns-consumpon bea epesens an appopae measue of sk (on he lonun. Moeove suppos he use accounn vaables fo esman sk. Besdes eveals ha expeced eanns owh aes should be posvely elaed o sk n heoy. The emande of hs pape s oansed as follows. Secon 2 pesens he neempoal equlbum famewok. Secon 3 deves he nnsc value of a sock usn eanns and aeae consumpon. Secon 4 concludes. 2 The neempoal equlbum famewok ollown Beeon (203-B p. 87 and ohes befoe ou model s neempoal equlbum famewok consdes a hypohecal economy n whch he epesenave nveso maxmses he me-sepaable uly funcon: 4 s U ( ( s0

5 . Beeon J-. Gueye and K. Sedzo 5 subjec o esouce consans whee ( s me dscoun faco (. s s s he aeae consumpon a me s he U( s an nceasn concave and devable funcon and 0 The soluon o hs poblem ven by he fs ode necessay condons can be used o show ha he pce of sock a me equals: U ( s D (2 s U ( whee D s s he dvdends of sock a me pemum epesens a devave of a funcon. 5 s ( s 2... and whee he The h-hand sde of quaon (2 coesponds o he pesen value of all fuue cash flows (dvdends whee he sochasc dscoun faco s equvalen o he neempoal manal ae of subsuon beween and ( : s U / U (. Wh hs noaon he equlbum pce of a sock becomes: ( s M s M s s M D. (3 Recusvely quaon (3 can be expessed fo a snle peod (beween and + n he follown manne (see ochane 2005 p. 27: whee M ( D ] (4 [ epesens he pce of sock a me + ven he avalable nfomaon a me. Moeove snce s nonzeo and s known wh he cuen nfomaon can hus be passed houh he condonal expecaon opeao and dvded on each sde o ndcae ha: [ M ( ] (5 whee s he ae of eun of sock beween me and + ( ( D /. In he same manne f hee s a sho-em skless asse we can we:

6 6 anns-consumpon beas and sock valuaon [ M ( ] (6 whee s he ae of eun of he skless asse beween me and +. quaons ( o (6 ae well known. In he follown secon we wll combne hese fundamenal equlbum condons wh eanns o oban a paccal nnsc value. 3 anns and sock pces Ths secon demonsaes ha he equlbum pce of a sock s a funcon of s expeced eanns owh ae oehe wh he covaance beween s eanns and aeae consumpon. We ben by assumn ha fms adjus he dvdend paymens owad a ae dvdend payou ao. We hen neae eanns no he fundamenal value of a lon-lved asse o eveal ha eanns and sock pces ae coneaed. Theeafe we deve he nnsc value of a sock usn (fs he quadac uly funcon (second he Taylo s expanson heoem (hd he nomal dsbuon and (fouh he lnea pocess fo eanns. 3. Quadac uly funcon The quadac uly funcon s commonly used n fnance (and economcs. As Huan and Lzenbee (988 p. 207 noed explc pcn fomulae can be deved by assumn ha he epesenave aen s uly funcon s quadac. In addon Huan and Lzenbee demonsaed ha he sk-eun elaonshp poposed by he canoncal AM can be easly deved usn hs smple uly funcon whch we also ulzed n subsecon 3.. Dvdend payou ao Smlaly o Baksh and hen (2005 and Don Hshlefe (2005 ou valuaon sock model focuses on eanns and bens by assumn ha dvdends elae o eanns accodn o: wh D d X (7 [ ] OV [ ] 0

7 . Beeon J-. Gueye and K. Sedzo 7 whee s he dvdend payou ao of sock ; s he eanns of sock a me ; and s he usual esdual andom em assocaed o quaon (7 fo sock a me ( s d s s X s The second lne of quaon (7 smply supposes ha he usual andom em ven he avalable nfomaon n me dsplays a zeo mean value and a zeo covaance wh any ohe andom vaables. As Don and Hshlefe (2005 menoned hs paameesaon s nsped by he classc suvey of Lnne (956 whch found ha fms adjus owad a ae dvdend ao. Theeby nean quaon (7 n quaon (3 ndcaes ha: M ( d X. (8 s The sandad assumpons eadn he esdual ems also ndcae ha: s M d X. (9 As befoe snce he eanns value of sock a me s known ven he avalable nfomaon a me hus be passed houh he condonal expecaon opeao of quaon (9 o exhb: X M d X / X (0a s X o f we assemble he elemens of he summaon em: whee vaable X H ] (0b [ H s defned n hs manne: H s M d X / X he noaon we can also expess quaon (0b n hs compac fom: X. To smplfy (0c whee [ H ]. Moeove f he sequence of vaables H ( = 0 2 s ndependen and dencally dsbued (..d. hen we can we:

8 8 anns-consumpon beas and sock valuaon X. ( Theefoe ven he avalable nfomaon a me quaon ( suess ha he fuue pce of he sock and he coespondn eanns ae sochascally elaed n he follown manne: X. (2 Inean quaons (7 ( and (2 no he snle peod expesson of he pce of an asse as fomulaed by quaon (4 allows us o we ha: X M ( X d X ] (3 [ and he sandad assumpon eadn he esdual em allows us o expess ha: Dvdn each sde of quaon (4 by Reaann also ndcaes ha: X M ( X d X ]. (4 [ X and ves afe smple manpulaons: [ M ( X / X d X / X ]. (5 [ M ( ( d ] (6 whee s he eanns owh ae of sock beween me and + ( X / X. quaon (6 pesens a pacula fom of he ule equaon expessed wh eanns. Takn he expecaon on each sde pems us o elease he ndex of he condonal opeao o eveals ha: [ M ( ( d ]. (7 In he same manne akn he expecaon on each of quaon (6 pems us o we:

9 . Beeon J-. Gueye and K. Sedzo 9 [ M ( ]. (8 quaon (7 mnus quaon (8 ves afe smples manpulaons he follown equaly: [ M {( ( d ( }]. (9 0 The mahemacal defnon of covaance ndcaes ha: om quaon (8 we have: OV [ M ( ( d ( ] M ] [( ( d ( ]. (20 [ [ M ] ( (2 and he basc popees of mahemacal covaance eveal afe smple manpulaons ha: OV [ M ]( d [ ]( d (. (22 Theefoe we can solae he expeced eanns owh ae of a sock o show ha equlbum condons pedcae ha: ] ( /( ( [ d OV M ]. (23 [ To e an explc pcn fomula we wll now make a sandad assumpon on he ndvdual uly funcon. Uly funcon We assume ha he uly funcon of he epesenave nveso s quadac whch 2 mples moe specfcally ha: U ( ( b / 2 wh b > 0 and < /b. Inean hs specfc uly funcon no quaon (23 shows ha: b [ ] ( OV d U( Usn aan he basc popees of covaance allows us o see ha:. (24

10 0 anns-consumpon beas and sock valuaon OV U b d ( ( ] [. (25 Mulplyn boh sdes of quaon (25 by and eaann ndcaes ha: OV U b d / ( ( ] [ (26a o f we pefe (known ha he covaance of a andom vaable wh a consan s equal o zeo: OV U b d ( ( ] [ (26b whee s he owh ae of aeae consumpon beween me and + ( /. Mulplyn on each sde by he vaance of he aeae consumpon owh ae ] [ 2 ves: ] [ ( ] [ ( ] [ 2 2 OV U b d. (27 Reaann allows us o see ha: d /( ( ] [ (28 whee ( / ] [ ( 2 U b ] [ ] / [ 2 OV. Snce all he follown values ( and ] [ 2 U b ae posve by consucon hen he paamee s also posve ( 0. The paamee can be vewed as an accounn consumpon bea. Moe pecsely epesens he sho-un eanns-consumpon bea of sock a me measued by he covaance beween he eanns owh ae of he sock and he aeae consumpon owh ae dvded by he vaance of he aeae consumpon

11 . Beeon J-. Gueye and K. Sedzo owh ae. I measues he sensvy of a company s eanns o aeae consumpon (eflecn economc acvy. quaon (28 epesens an equlbum condon fo one peod. I could be exended ove seveal peods o f we pefe n he lon un. Many peods In he lon un he elaonshp beween he company s eanns owh ae and s sensvy o aeae consumpon can be obaned by summn fom me zeo ( = 0 o me T- ( = T- ha s o say: T 0 T [ ] [( 0 /( d ] (29 o f we pefe by usn he basc popees of he summaon opeao: T 0 [ Mulplyn by he scala value whee w shows ha: T 0 T 0 [ T ] ( d ( 0 T 0 T. (30 0 on each sde of quaon (30 yelds: T ] ( d ( 0 T 0 T w (3 0 / wh 0 w. Dvdn by T on each sde of quaon (3 ( /( d (32 whee T / 0 T / 0 T 0 [ ] T T T / T 0 w. Hee he esmaos and epesen especvely he ahmec aveae of me values [ ] and whle can be vewed as he wehed aveae sensve coeffcens of me values ( = 2 3 T-.

12 2 anns-consumpon beas and sock valuaon To pu dffeenly epesens he lon-un expeced eanns owh ae of sock ; whle epesens he lon-un eanns-consumpon bea of sock o moe smply he eanns-consumpon bea of sock. Reaann quaon (32 we can we: ( /( /( d (33 o f we pefe: /[( /( ] d. (34 A me = 0 quaon ( ndcaes ha: 0 / X 0 ; whee he h hand sde of he equaly coesponds o he cuen pce-eanns ao of sock. Theefoe we can we: /[( /( ] d X 0 / 0 (35 o afe manpulaons: d X 0 0. (36 In hs manne we can easly solae he equlbum pce of a sock o oban a smple fomula expessed wh accounn eanns. Ths may be wen as: 0 d X 0. (37 quaon (37 epesens ou man esul. I shows ha he equlbum pce of a sock depends on s cuen dsbued eanns expeced eanns owh and eanns-consumpon bea. Moe pecsely quaon (37 eveals ha he cuen equlbum pce of he sock s posvely elaed o s cuen dsbued eanns and s fuue eanns owh ae and neavely elaed o s eanns-consumpon bea obaned fom he lon-un covaance beween eanns and aeae consumpon. Because he elaonshp beween he pce of he sock and s eannsconsumpon bea s neave he las paamee s vewed as a hful measue of sk. 6 In hs sense he above sock pce expesson suppos he use of fundamenal vaables (as eanns fo esman sk.

13 . Beeon J-. Gueye and K. Sedzo 3 om quaon (37 deemnn he nnsc value of a sock eques he follown seps: ( esablshn he economc exoenous vaables (such as he ae of eun of he skless asse and he aeae consumpon owh ae (2 obsevn he sock s cuen eanns dsbuon and (3 esman he sock s expeced eanns owh ae and he sock s eanns-consumpon bea. If he sock exhbs no covaance wh aeae consumpon o no sk hen he deemnaon of s nnsc value s analoous o he classc consan owh model wh eanns. 7 Besdes f we accep ha he eanns-consumpon bea epesens a measue of sk hen quaon (32 suess ha a company s expeced eanns owh ae s posvely elaed o sk (n he lon un. Ths pon of vew s nuvely appealn. I s also conssen wh classc sudes on he assocaon beween accounn vaables and sk n s sandad fom. 8 Indeed f we accep ha owh n eanns ases fom he eun on new nvesmen and f we accep ha eun s posvely elaed o sk hen we mus accep ha he eanns owh ae s posvely elaed o sk. 9 Ou conbuon wh quaon (32 s o chaacese hs heoecal elaonshp wh a lon-un accounn sk measue. The esmaon of We can use he obsevable values of he make pofolo o faclae he esmaon of paamee. Indeed fom quaon (35 we can we: /[( m m /( ] dm X m0 / m 0 (38 whee he ndex m ndcaes he make. Thus afe smple manpulaons we have: [ ( /( d Y ]/ (39 m m m m whee Y / m X m0 m 0. The las value smply efes o he eanns-pce ao of he ene make whch coesponds o he nvese of he popula pce-eanns ao. 0 So f we esmae (fo example ha: ( he eanns-consumpon bea of he make s equal o (2 he skless asse equals 6% (3 he eanns owh ae of he make equals 5% (4 he make dsbuon ao equals 50% and (5 he make pce-eanns ao equals 5 hen we can popose ha paamee should be equal o 2.42% as shown below; [ 0.05 ( 0.06 /( 0.5/5]/.05 (.06 /( %.

14 4 anns-consumpon beas and sock valuaon A value of fo he eanns-consumpon bea of he make can be jusfed (fo paccal applcaons known ha he canoncal AM esablshes an equvalency beween make-dvdend and aeae-consumpon. In hs secon we used he quadac uly funcon fo he sake of smplcy. Howeve hs escve assumpon can be noed usn he Taylo sees expanson as we wll demonsae n he nex secon. 3.2 Taylo sees Accodn o Taylo s heoem we can evaluae he funcon pon a n ems of s devaves as follows: y f (x aound he 2 ( N N f ( a( x a f ( a( x a f ( x f ( a f ( a( x a.... 2! N! When N s equal o he Taylo sees appoxmaon ndcaes ha: f ( x f ( a f ( a( x a. Theefoe as Beeden e al. (989 p. 233 obseved an appoxmaon of he manal ae of subsuon (MRS can be obaned fom he fs-ode Taylo sees. Indeed aound we have: U U ( U ( (. (40 ( Inean quaon (40 no quaon (23 suess ha he expeced eanns owh of a sock appoaches he follown value: [ ] d U( U ( ( ( OV. (4 U( Usn he basc popees of mahemacal covaance and hen eaann ndcaes ha: ] d U ( ( U( OV [ [ Mulplyn by on each sde of quaon (42 shows ha: ]. (42

15 . Beeon J-. Gueye and K. Sedzo 5 ( ( [ ] U OV d U (. (43 Mulplyn by 2 [ ] on each sde of quaon (43 eveals ha: [ ] d 2 U ( ( [ U( [ ] OV 2 [ ] ]. (44 Reaann allows us o see ha: whee [ d ˆ ] ( /( (45 ˆ 2 [ ]( ( U( / U ( ˆ 2 [ ]( RRA wh RRA U / U(. ( Hee he em RRA epesens he elave sk aveson evaluaed a. Is value s necessaly posve because he second devave of he uly funcon mus be neave by consucon and he ohe values n he paamee mus be posve. As a esul s also posve ( ˆ 0 f we adm ha he vaance of a andom vaable and he sk-fee ae of eun ae eae han zeo jus as he paamee. ˆ Gven hs f we eplcae he devaon fom quaon (28 o quaon (32 we e (non he appoxmaon: ( /( d ˆ ˆ (46 T 0 whee ˆ ˆ / T T 0 T ˆ wˆ wˆ ˆ / ˆ. 0

16 6 anns-consumpon beas and sock valuaon Thus usn quaons (33 o (37 we can epoduce ou man esul concenn he equlbum pce of a sock. Tha s: ˆ ˆ 0 ˆ ˆ d X 0 (47 whee ˆ and ˆ ae smla o efe o he quadac assumpon. and deved pevously excep ha hey do no In he nex secon we wll ncease he model s obusness usn he usual nomal dsbuon whou any specfc uly funcon. 3.3 Nomal dsbuon Accodn o Sen s lemma: f vaable and vaable funcon s dffeenable and he expecaon of ochane 2005 p. 64: f (x x y ae bvaae nomal he s < hen (see f (x OV [ y f ( x] [ f ( x] OV [ y x ]. So f we suppose ha and X ae bvaae nomally dsbued hen fom quaon (23 we can we ha: U( [ ] ( OV (48 d U( s equvalen o he follown equaly: ] d ( [ U ( U ( ] OV [ [ ]. (49 Aan usn he basc popees of mahemacal covaance and hen eaann we e: U ( [ ( ] [ ] OV. (50 d U( Also mulplyn by 2 ] on each sde of quaon (50 ndcaes ha: [

17 . Beeon J-. Gueye and K. Sedzo 7 ( [ ] d [ U ( U ( 2 ] [ [ ] OV 2 [ ] ]. (5 Reaann one moe me allows us o see ha: [ ] ( /( d (52 2 whee ]( ( [ U( ]/ U(. [ As befoe we can easly pove ha he paamee Aan usn quaons (28 o (32 we can we: s posve ( 0. ( /( d (53 T 0 whee T / T 0 w T w /. 0 Theefoe usn quaons (33 o (37 we can expess: 0 d X 0. (54 whee and ae also smla o ˆ and ˆ deved pevously excep ha hey do no efe o an appoxmaon. In he follown secon we wll conclae he model s obusness usn a lnea assumpon. Beeden e al. (989 p. 233 Bansal e al. (2005 p. 644 and Beeon (203-B p. 86 nsped hs pocedue (wh eanns. 3.4 Lnea funcon We assume ha he elaonshp beween eanns and consumpon owh aes s eneaed by he follown lnea funcon: (55

18 8 anns-consumpon beas and sock valuaon wh ] OV [ ] 0 [ whee s he necep fo sock a me ; s (aan he eanns sensvy o consumpon fo sock a me ; and s he usual andom em fo sock a me +. Besdes we can easly pove ha he coeffcen of he eanns sensvy o consumpon (he bea expessed no he las equaon s equvalen o he paamee pesened pevously: 2 2 ]/ [ OV ]. [ Inean quaon (55 no quaon (23 ndcaes ha he expeced eanns owh of a sock equals: [ ] ( [ ] OV M. (56 d Usn he basc popees of covaance one moe me allows us o we: ] (57 [ ] ( OV [ M d Reaann also allows us o we: [ ] ( /( d (58 whee ( [ OV M ] and he paamee s posve ( 0 because he covaance beween M and s by consucon neave. Usn quaons (28 o (32 we e: ( /( d (59 whee T 0 T / T 0 w T w /. 0

19 . Beeon J-. Gueye and K. Sedzo 9 nally usn quaons (33 o (37 we have: 0 d X 0 (60 whee and ae also smla o and deved pevously excep ha hey come fom he eanns lnea pocess expessed by quaon (55. 4 oncluson ollown he adonal dscouned cash flow appoach many exenson models have been poposed o esmae he value of a sock. The pmay conbuon of hs pape s o develop a new sock valuaon model ha akes no accoun he lon-un covaance beween eanns and aeae consumpon. u dffeenly he pmay conbuon of hs heoecal pape s o develop a new sock valuaon model ha neaes he ecen concep of lon-un sk usn accounn vaables. 3 San fom he neempoal famewok of he AM we showed ha he equlbum pce of a sock s posvely elaed o s lon-un eanns owh ae and neavely elaed o s eanns-consumpon bea obaned fom s lon-un covaance beween eanns owh and aeae consumpon owh. In so don hs pape exends he ecen and pomsn concep of lon-un sk o accounn eanns. 4 In addon suppos he use of accounn vaables fo esman sk. Moeove demonsaes ha he elaonshp beween expeced eanns owh and sk s posve. Oveall offes a new ool fo sock valuaon (especally fo odnay socks. nally he neempoal equlbum famewok of ou model consdeed a hypohecal economy n whch he epesenave nveso maxmses a mesepaable uly funcon. o fuue eseach may be suable o see how we could enealze he uly funcon. Noes In eneal an accounn bea epesens he covaance beween he eanns of a company and he make eanns dvded by he vaance of he make eanns. Random eanns ( can be deflaed by cuen pces ( 0 book values (B 0 o eanns ( 0 usn he follown aos: / 0 /B 0 and / 0.

20 20 anns-consumpon beas and sock valuaon 2. In he sudy Ismal and Km (989 use fou accounn vaables: ( ncome avalable o common equy; (2 ncome avalable o common equy plus depecaon; (3 ncome avalable o common equy plus depecaon and defeed axes; and (4 cash flows eneaed fom connun opeaons. 3 See hape 8 n lon e al. ( In hs documen he opeaos VAR and OV efe especvely o mahemacal expecaon vaance and covaance whee ndex mples ha we consde he avalable nfomaon a me. uhemoe he lde ( ndcaes a andom vaable. 5 See Rubnsen (976 o ochane (2005 hape. 6 quaon (28 demonsaes ha λ s posve (fo evey. As a esul paamee λ n quaon (37 s also posve. 7 See he consan owh model hape 8 n lon e al. ( On he posve elaonshp beween owh and sk see fo example he classc sudy of Beave e al. (970 and ohes. 9 See aan hape 8 n lon e al. ( The eanns-pce ao (eanns dvded by pce s somemes called he eanns-yeld. The second lne of quaon (55 assumes (as befoe ha he andom sandad em (Ɛ pesens a zeo mean value and a zeo coelaon value wh any ohe vaables. 2 If x y and e epesen eneal vaables and f y = a + bx + e whee OV(x e = 0 hen OV(x y = OV(x a + bx + e = OV(x xb. Theefoe: b = OV(x y/σ 2 (x. 3 Ohlson (995 elham and Ohlson (999 and Beeon (203-A fo example also pesen heoecal papes on sock valuaon ha offe dec paccal mplcaons. 4 Accodn o eson e al. (203 he lon-un sk model follown Bansal and Yaon (2004 has been a phenomenal success. Refeences Bansk. and Wahlen J.M. (2003 ʻResdual ncome sk nnsc values and shae pcesʼ The Accounn Revew Vol. 78 No. pp Baksh G. and hen Z. (2005 ʻSock valuaon n dynamc economesʼ Jounal of nancal Makes Vol. 8 No. 2 pp. -5. Ball R. and Sadka G. (205 ʻAeae eanns and why hey maeʼ Jounal of Accounn Leaue Vol. 34 No. pp Bansal R. Dma R.. and Kku D. (2009 ʻoneaon and consumpon sks n asse eunsʼ Revew of nancal Sudes Vol. 22 No. 3 pp

21 . Beeon J-. Gueye and K. Sedzo 2 Bansal R. Dma R.. and Lundblad. (2005 ʻonsumpon dvdends and he coss-secon of equy eunsʼ The Jounal of nance Vol. 60 No. 4 pp Bansal R. and Kku D. (20 ʻoneaon and lon-un asse allocaonʼ Jounal of Busness and conomc Sascs Vol. 29 No. pp Bansal R. and Shalasovch I. (203 ʻA lon-un sks explanaon of pedcably puzzles n bond and cuency makesʼ The Revew of nancal Sudes Vol. 26 No. pp Bansal R. and Yaon A. (2004 ʻRsks fo he lon un: A poenal esoluon of asse pcn puzzlesʼ The Jounal of nance Vol. 59 No. 4 pp Basu S. (977 ʻInvesmen pefomance of common sock n elaon o he pce eanns aos: a es of effcen make hypohessʼ The Jounal of nance Vol. 32 No. 3 pp Beave W. Kele. and Scholes M. (970 ʻThe assocaon beween make deemned and accounn deemned sk measuesʼ The Accounn Revew Vol. 45 No. 4 pp Beave W. and Maneold J. (975 ʻThe assocaon beween make-deemned and accounndeemned measues of sysemac sk: some fuhe evdenceʼ Jounal of nancal and Quanave Analyss Vol. 0 No. 2 pp Beele J. and ampbell J. (202 ʻThe lon-un sks model and aeae asse pces: an empcal assessmenʼ cal nance Revew Vol. No. pp Beeon. (203-A ʻDvdend owh sock valuaon and lon-un skʼ Jounal of conomcs and nance Vol. 37 No. 4 pp Beeon. (203-B ʻDvdend sensvy o economc facos sock valuaon and lon-un skʼ nance Reseach Lees Vol. No. 3 pp Beeden D.T. (979 ʻAn neempoal asse pcn model wh sochasc consumpon and nvesmen oppounesʼ Jounal of nancal conomcs Vol. 7 No. 3 pp Beeden D.T. Gbbons M.R. and Lzenbee R.H. (989 ʻmpcal ess of he consumponoened AMʼ The Jounal of nance Vol. 44 No. 2 pp ochane J.H. (2005 Asse cn. nceon Unvesy ess nceon N.J. Da Z. (2009 ʻash flow consumpon sk and he coss-secon of sock eunsʼ The Jounal of nance Vol. 64 No. 2 pp Da Z. and Waachka M.. (2009 ʻasflow sk sysemac eanns evsons and he coss-secon of sock eunsʼ Jounal of nancal conomcs Vol. 94 No. 2 pp Don M. and Hshlefe D. (2005 ʻA enealzed eanns-based sock valuaon modelʼ The Manchese School Vol. 73 No. 9 pp. -3. lon. Gube M. Bown S.J. and Goezmann W.N. (204 Moden ofolo Theoy and Invesmen Analyss. Wley 9 h don NewYok N.Y. (752 p.. psen L. and Zn S. (989 ʻSubsuon sk aveson and he empoal behavo of consumpon and asse euns: A heoecal famewokʼ conomeca Vol. 57 No. 4 pp elham G.A. and Ohlson J.A. (999 ʻResdual eanns valuaon wh sk and sochasc nees aesʼ The Accounn Revew Vol. 74 No. 2 pp eson W. Nallaeddy S. and Xe B. (203 ʻThe ou-of-sample pefomance of lon-un sk modelsʼ Jounal of nancal conomcs Vol. 07 No. 3 pp Godon M. (962 The Invesmen nancn and Valuaon of he copoaon. Iwn Homewood Ill (256 p..

22 22 anns-consumpon beas and sock valuaon Goyal A. (202 ʻmpcal coss-seconal asse pcn: a suveyʼ nancal Makes and ofolo Manaemen Vol. 26 No. pp Hansen L.. Heaon J.. and L N. (2008 ʻonsumpon skes back?: Measun lon-un skʼ Jounal of olcal conomy Vol. 6 No. 2 pp Huan. and Lzenbee R.H. (988 oundaons fo fnancal economcs. lseve Scence ublshn New Yok N.Y. Huley J.W. (203 ʻalculan fs momens and confdence nevals fo enealzed sochasc dvdend dscoun modelsʼ Jounal of Mahemacal nance Vol. 3 No. 2 pp Ismal B.. and Km M.K. (989 ʻOn he assocaon of cash flow vaables wh make sk: fuhe evdenceʼ The Accounn Revew Vol. 64 No. pp Kaels G.V. and Sackley W.H. (993 ʻThe elaonshp beween make and accounn beas fo commecal banksʼ Revew of nancal conomcs Vol. 2 No. 2 pp Lnne J. (956 ʻDsbuon of ncomes of copoaons amon dvdends eaned eanns and axesʼ Amecan conomc Revew Vol. 76 No. 2 pp Lucas R.. (978 ʻAsse pces n an exchane economyʼ conomeca Vol. 46 No.6 pp Nekasov A. and Shoff.K. (2009 ʻundamenals-based sk measuemen n valuaonʼ The Accounn Revew Vol. 84 No. 6 pp Ohlson J.A. (995 ʻanns book values and dvdends n equy valuaonʼ onempoay Accounn Reseach Vol. No. 2 pp aso L. and Veones. (2003 ʻSock valuaon and leann abou pofablyʼ The Jounal of nance Vol. 58 No. 5 pp Rubnsen M. (976 ʻThe valuaon of uncean ncome seams and he pcn of oponsʼ The Bell Jounal of conomcs Vol. 7 No. 2 pp Schluee T. and Seves S. (204 ʻDeemnans of make bea: he mpacs of fm-specfc accounn fues and make condonsʼ Revew of Quanave nance and Accounn Vol. 42 No. 3 pp Yee K.K. (2008 ʻA Bayesan famewok fo combnn valuaon esmaesʼ Revew of Quanave nance and Accounn Vol. 30 No. 3 pp Yee K.K. (200 ʻombnn fundamenal measues fo sock seleconʼ In Handbook of Quanave nance and Rsk Manaemen pp Spne New Yok N.Y.

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED)

FIRMS IN THE TWO-PERIOD FRAMEWORK (CONTINUED) FIRMS IN THE TWO-ERIO FRAMEWORK (CONTINUE) OCTOBER 26, 2 Model Sucue BASICS Tmelne of evens Sa of economc plannng hozon End of economc plannng hozon Noaon : capal used fo poducon n peod (decded upon n

More information

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions:

( ) ( )) ' j, k. These restrictions in turn imply a corresponding set of sample moment conditions: esng he Random Walk Hypohess If changes n a sees P ae uncoelaed, hen he followng escons hold: va + va ( cov, 0 k 0 whee P P. k hese escons n un mply a coespondng se of sample momen condons: g µ + µ (,,

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

The Theory of Optimal Dividend Policy: An Intertemporal Approach and Empirical Evidences

The Theory of Optimal Dividend Policy: An Intertemporal Approach and Empirical Evidences The Theoy of Opmal Dvdend Polcy: An Ineempoal Appoach and Empcal Evdences Mng-Jang Weng, Mn-Shann Tsa and Jyh-Ln Wu We popose a heoecal model of opmal dvdends based on mcofoundaon o nvesgae he elaonshps

More information

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have:

p E p E d ( ) , we have: [ ] [ ] [ ] Using the law of iterated expectations, we have: Poblem Se #3 Soluons Couse 4.454 Maco IV TA: Todd Gomley, gomley@m.edu sbued: Novembe 23, 2004 Ths poblem se does no need o be uned n Queson #: Sock Pces, vdends and Bubbles Assume you ae n an economy

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

Simulation of Non-normal Autocorrelated Variables

Simulation of Non-normal Autocorrelated Variables Jounal of Moden Appled Sascal Mehods Volume 5 Issue Acle 5 --005 Smulaon of Non-nomal Auocoelaed Vaables HT Holgesson Jönöpng Inenaonal Busness School Sweden homasholgesson@bshse Follow hs and addonal

More information

Measuring capital market integration

Measuring capital market integration Measung capal make negaon Mana Ems, 1 Naonal Bank of Belgum Absac The convegence of Euopean economes n he wake of Euopean moneay unon, ogehe wh nceasngly common dynamcs n cuency and equy euns, suggess

More information

) from i = 0, instead of i = 1, we have =

) from i = 0, instead of i = 1, we have = Chape 3: Adjusmen Coss n he abou Make I Movaonal Quesons and Execses: Execse 3 (p 6): Illusae he devaon of equaon (35) of he exbook Soluon: The neempoal magnal poduc of labou s epesened by (3) = = E λ

More information

Handling Fuzzy Constraints in Flow Shop Problem

Handling Fuzzy Constraints in Flow Shop Problem Handlng Fuzzy Consans n Flow Shop Poblem Xueyan Song and Sanja Peovc School of Compue Scence & IT, Unvesy of Nongham, UK E-mal: {s sp}@cs.no.ac.uk Absac In hs pape, we pesen an appoach o deal wh fuzzy

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY Unvesy of Calfona, Davs Dae: June xx, 009 Depamen of Economcs Tme: 5 hous Mcoeconomcs Readng Tme: 0 mnues PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE Pa I ASWER KEY Ia) Thee ae goods. Good s lesue, measued

More information

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland

The Unique Solution of Stochastic Differential Equations. Dietrich Ryter. Midartweg 3 CH-4500 Solothurn Switzerland The Unque Soluon of Sochasc Dffeenal Equaons Dech Rye RyeDM@gawne.ch Mdaweg 3 CH-4500 Solohun Swzeland Phone +4132 621 13 07 Tme evesal n sysems whou an exenal df sngles ou he an-iô negal. Key wods: Sochasc

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

Market inefficiency and implied cost of capital models

Market inefficiency and implied cost of capital models Make neffcency and mpled cos of capal models Tjomme O. Ruscus Kellogg School of Managemen Nohwesen Unvesy 00 Shedan Road sue 69 vanson IL 6008 -uscus@nohwesen.edu Mach 0 BSTRCT In hs pape I examne he mpac

More information

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013

to Assess Climate Change Mitigation International Energy Workshop, Paris, June 2013 Decomposng he Global TIAM-Maco Maco Model o Assess Clmae Change Mgaon Inenaonal Enegy Wokshop Pas June 2013 Socaes Kypeos (PSI) & An Lehla (VTT) 2 Pesenaon Oulne The global ETSAP-TIAM PE model and he Maco

More information

Answers to Tutorial Questions

Answers to Tutorial Questions Inoducoy Mahs ouse Answes.doc Answes o Tuoal Quesons Enjoy wokng hough he examples. If hee ae any moe quesons, please don hesae o conac me. Bes of luck fo he exam and beyond, I hope you won need. Tuoal

More information

A hybrid method to find cumulative distribution function of completion time of GERT networks

A hybrid method to find cumulative distribution function of completion time of GERT networks Jounal of Indusal Engneeng Inenaonal Sepembe 2005, Vol., No., - 9 Islamc Azad Uvesy, Tehan Souh Banch A hybd mehod o fnd cumulave dsbuon funcon of compleon me of GERT newos S. S. Hashemn * Depamen of Indusal

More information

Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution

Solution of Non-homogeneous bulk arrival Two-node Tandem Queuing Model using Intervention Poisson distribution Volume-03 Issue-09 Sepembe-08 ISSN: 455-3085 (Onlne) RESEARCH REVIEW Inenaonal Jounal of Muldscplnay www.jounals.com [UGC Lsed Jounal] Soluon of Non-homogeneous bulk aval Two-node Tandem Queung Model usng

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

APPROXIMATIONS FOR AND CONVEXITY OF PROBABILISTICALLY CONSTRAINED PROBLEMS WITH RANDOM RIGHT-HAND SIDES

APPROXIMATIONS FOR AND CONVEXITY OF PROBABILISTICALLY CONSTRAINED PROBLEMS WITH RANDOM RIGHT-HAND SIDES R U C O R R E S E A R C H R E P O R APPROXIMAIONS FOR AND CONVEXIY OF PROBABILISICALLY CONSRAINED PROBLEMS WIH RANDOM RIGH-HAND SIDES M.A. Lejeune a A. PREKOPA b RRR 7-005, JUNE 005 RUCOR Ruges Cene fo

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

ajanuary't I11 F or,'.

ajanuary't I11 F or,'. ',f,". ; q - c. ^. L.+T,..LJ.\ ; - ~,.,.,.,,,E k }."...,'s Y l.+ : '. " = /.. :4.,Y., _.,,. "-.. - '// ' 7< s k," ;< - " fn 07 265.-.-,... - ma/ \/ e 3 p~~f v-acecu ean d a e.eng nee ng sn ~yoo y namcs

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic *

ScienceDirect. Behavior of Integral Curves of the Quasilinear Second Order Differential Equations. Alma Omerspahic * Avalable onlne a wwwscencedeccom ScenceDec oceda Engneeng 69 4 85 86 4h DAAAM Inenaonal Smposum on Inellgen Manufacung and Auomaon Behavo of Inegal Cuves of he uaslnea Second Ode Dffeenal Equaons Alma

More information

The balanced budget multiplier and labour intensity in home production

The balanced budget multiplier and labour intensity in home production Inenaonal Jounal of Economc Behavo and Oganzaon 205; 3(2-): 23-30 Publshed onlne Febuay 26, 205 (hp://www.scencepublshnggoup.com/j/jebo) do: 0.648/j.jebo.s.20503020.5 ISSN: 2328-7608 (Pn); ISSN: 2328-766

More information

International asset allocation in presence of systematic cojumps

International asset allocation in presence of systematic cojumps Inenaonal asse allocaon n pesence of sysemac cojumps Mohamed Aou a Oussama M SADDEK b* Duc Khuong Nguyen c Kunaa Pukhuanhong d a CRCGM - Unvesy of Auvegne 49 Boulevad Fanços-Meand B.P. 3 6300 Clemon- Feand

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

SCIENCE CHINA Technological Sciences

SCIENCE CHINA Technological Sciences SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *

More information

Variability Aware Network Utility Maximization

Variability Aware Network Utility Maximization aably Awae Newok ly Maxmzaon nay Joseph and Gusavo de ecana Depamen of Eleccal and Compue Engneeng, he nvesy of exas a Ausn axv:378v3 [cssy] 3 Ap 0 Absac Newok ly Maxmzaon NM povdes he key concepual famewok

More information

Inventory Policy Implications of On-Line Customer Purchase Behavior

Inventory Policy Implications of On-Line Customer Purchase Behavior Invenoy Polcy Implcaons of On-Lne Cusome Puchase Behavo Hay Goenevel Smon School of Busness Unvesy of Rochese Rochese, NY 4627 goenevel@smon.ochese.edu Panab Majumde Fuqua School of Busness Duke Unvesy

More information

Monetary policy and models

Monetary policy and models Moneay polcy and odels Kes Næss and Kes Haae Moka Noges Bank Moneay Polcy Unvesy of Copenhagen, 8 May 8 Consue pces and oney supply Annual pecenage gowh. -yea ovng aveage Gowh n oney supply Inflaon - 9

More information

Dynamic Productivity Growth in the Spanish Meat Industry

Dynamic Productivity Growth in the Spanish Meat Industry Dynamc Poducvy Gowh n he Spansh Mea ndusy MAGDALENA KAPELKO a, ALFONS OUDE LANSNK b, SPRO STEFANOU c,b a Depamen of Busness Admnsaon, Unvesdad Calos de Madd, Span, e-mal: mkapelko@emp.uc3m.es b Busness

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

I-Hsuan Hong Hsi-Mei Hsu Yi-Mu Wu Chun-Shao Yeh

I-Hsuan Hong Hsi-Mei Hsu Yi-Mu Wu Chun-Shao Yeh Poceedngs of he 8 Wne Smulaon Confeence S. J. ason, R. R. Hll, L. önch, O. Rose, T. Jeffeson, J. W. Fowle eds. PRICING DECISION AND LEAD TIE SETTING IN A DUOPOL SEICONDUCTOR INDUSTR I-Hsuan Hong Hs-e Hsu

More information

An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe

An axisymmetric incompressible lattice BGK model for simulation of the pulsatile ow in a circular pipe INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS In. J. Nume. Meh. Fluds 005; 49:99 116 Publshed onlne 3 June 005 n Wley IneScence www.nescence.wley.com). DOI: 10.100/d.997 An axsymmec ncompessble

More information

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts Onlne Appendx for Sraegc safey socs n supply chans wh evolvng forecass Tor Schoenmeyr Sephen C. Graves Opsolar, Inc. 332 Hunwood Avenue Hayward, CA 94544 A. P. Sloan School of Managemen Massachuses Insue

More information

Modeling Background from Compressed Video

Modeling Background from Compressed Video Modelng acgound fom Compessed Vdeo Weqang Wang Daong Chen Wen Gao Je Yang School of Compue Scence Canege Mellon Unvesy Psbugh 53 USA Insue of Compung echnology &Gaduae School Chnese Academy of Scences

More information

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH

STABILITY CRITERIA FOR A CLASS OF NEUTRAL SYSTEMS VIA THE LMI APPROACH Asan Jounal of Conol, Vol. 6, No., pp. 3-9, Mach 00 3 Bef Pape SABILIY CRIERIA FOR A CLASS OF NEURAL SYSEMS VIA HE LMI APPROACH Chang-Hua Len and Jen-De Chen ABSRAC In hs pape, he asypoc sably fo a class

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence

More information

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions

Combinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2 Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads

More information

Integer Programming Models for Decision Making of. Order Entry Stage in Make to Order Companies 1. INTRODUCTION

Integer Programming Models for Decision Making of. Order Entry Stage in Make to Order Companies 1. INTRODUCTION Inege Pogammng Models fo Decson Makng of Ode Eny Sage n Make o Ode Companes Mahendawah ER, Rully Soelaman and Rzal Safan Depamen of Infomaon Sysems Depamen of Infomacs Engneeng Insu eknolog Sepuluh Nopembe,

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain

Lecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as

More information

ON TOTAL TIME ON TEST TRANSFORM ORDER ABSTRACT

ON TOTAL TIME ON TEST TRANSFORM ORDER ABSTRACT V M Chacko E CONVE AND INCREASIN CONVE OAL IME ON ES RANSORM ORDER R&A # 4 9 Vol. Decembe ON OAL IME ON ES RANSORM ORDER V. M. Chacko Depame of Sascs S. homas Collee hss eala-68 Emal: chackovm@mal.com

More information

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,

More information

When to Treat Prostate Cancer Patients Based on their PSA Dynamics

When to Treat Prostate Cancer Patients Based on their PSA Dynamics When o Tea Posae Cance Paens Based on he PSA Dynamcs CLARA day on opeaons eseach n cance eamen & opeaons managemen Novembe 7 00 Mael S. Lave PhD Man L. Pueman PhD Sco Tyldesley M.D. Wllam J. Mos M.D CIHR

More information

Tax Capitalization in Stock Prices: Theory and Evidence on the Interaction between Distribution Policy and Tax Rates. Michael G.

Tax Capitalization in Stock Prices: Theory and Evidence on the Interaction between Distribution Policy and Tax Rates. Michael G. Tax Capalzaon n Sock ce: Teoy and vdence on e Ineacon beween Dbuon olcy and Tax Rae Mcael G. Wllam Aan ofeo, Andeon Gaduae Scool of Manaemen UCLA Ocobe 200 Te auo would lke o ank Davd Aboody, Jack Hue,

More information

The Application of Fuzzy Comprehensive Evaluations in The College Education Informationization Level

The Application of Fuzzy Comprehensive Evaluations in The College Education Informationization Level IOSR Jounal of Reseach & Mehod n Educaon IOSR-JRME) e- ISSN: 3 7388,p-ISSN: 3 737X Volume 8, Issue 3 Ve IV May June 8), PP -7 wwwosjounalsog The Applcaon of Fuzzy Compehensve Evaluaons n The College Educaon

More information

Sterilization of Capital Inflows and Balance of. Payments Crises

Sterilization of Capital Inflows and Balance of. Payments Crises Selzaon of Capal Inflows and Balance of Paymens Cses Macos A. Buscagla Ths Daf: July 23 Absac Lage capal nflows and epeaed balance of paymens cses BOPC assocaed wh he sudden evesal have chaacezed he emegng

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation

Delay-Dependent Control for Time-Delayed T-S Fuzzy Systems Using Descriptor Representation 82 Inenaonal Jounal of Conol Auomaon and Sysems Vol 2 No 2 June 2004 Delay-Dependen Conol fo me-delayed -S Fuzzy Sysems Usng Descpo Repesenaon Eun ae Jeung Do Chang Oh and Hong Bae ak Absac: hs pape pesens

More information

Advanced Macroeconomics II: Exchange economy

Advanced Macroeconomics II: Exchange economy Advanced Macroeconomcs II: Exchange economy Krzyszof Makarsk 1 Smple deermnsc dynamc model. 1.1 Inroducon Inroducon Smple deermnsc dynamc model. Defnons of equlbrum: Arrow-Debreu Sequenal Recursve Equvalence

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6) Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen

More information

Internet Appendix for: Waves in Ship Prices and Investment

Internet Appendix for: Waves in Ship Prices and Investment Inene Appendx o: Waves n Shp Pces and Invesmen Robn Geenwood and Samuel G. Hanson Havad Busness School Augus 14 A: Addonal Empcal Analyss 1. Pesen value calculaon Shp eanngs ae pessen a sho hozons, bu

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

Continuous-time evolutionary stock and bond markets with time-dependent strategies

Continuous-time evolutionary stock and bond markets with time-dependent strategies Afcan Jounal of Busness Managemen Vol. 64 pp. 463-474 Febuay Avalable onlne a hp://www.acaemcjounals.og/ajbm DOI:.5897/AJBM.5 ISSN 993-833 Acaemc Jounals Full Lengh Reseach Pape Connuous-me evoluonay soc

More information

Hierarchical Production Planning in Make to Order System Based on Work Load Control Method

Hierarchical Production Planning in Make to Order System Based on Work Load Control Method Unvesal Jounal of Indusal and Busness Managemen 3(): -20, 205 DOI: 0.389/ujbm.205.0300 hp://www.hpub.og Heachcal Poducon Plannng n Make o Ode Sysem Based on Wok Load Conol Mehod Ehsan Faah,*, Maha Khodadad

More information

Political Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019.

Political Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019. Polcal Economy of Insuons and Developmen: 14.773 Problem Se 2 Due Dae: Thursday, March 15, 2019. Please answer Quesons 1, 2 and 3. Queson 1 Consder an nfne-horzon dynamc game beween wo groups, an ele and

More information

2 Aggregate demand in partial equilibrium static framework

2 Aggregate demand in partial equilibrium static framework Unversy of Mnnesoa 8107 Macroeconomc Theory, Sprng 2009, Mn 1 Fabrzo Perr Lecure 1. Aggregaon 1 Inroducon Probably so far n he macro sequence you have deal drecly wh represenave consumers and represenave

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

Reflection and Refraction

Reflection and Refraction Chape 1 Reflecon and Refacon We ae now neesed n eplong wha happens when a plane wave avelng n one medum encounes an neface (bounday) wh anohe medum. Undesandng hs phenomenon allows us o undesand hngs lke:

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

January Examinations 2012

January Examinations 2012 Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

On The Estimation of Two Missing Values in Randomized Complete Block Designs

On The Estimation of Two Missing Values in Randomized Complete Block Designs Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.

More information

A Secure and Efficient Protocol of Multiple Session Keys Generation

A Secure and Efficient Protocol of Multiple Session Keys Generation WSES TRNSCTIONS on COMMUNICTIONS Secue and Effcen Poocol of Mulple Sesson Kes Geneaon Depamen of Infomaon Manaemen Naonal Tachun Insue of Technolo 9 Sanmn Rd., Sec. 3, Tachun, Tawan, R.O.C. ehln@n.edu.w

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

TRINOMIAL TREE OPTION PRICING VIA THRESHOLD-GARCH MODEL

TRINOMIAL TREE OPTION PRICING VIA THRESHOLD-GARCH MODEL IJRRAS 7 () Ma wwwapapesscom/volumes/vol7issue/ijrras_7 5pd TRINOMIAL TREE OPTION PRICING VIA THRESHOLD-GARCH MODEL Su-Ing Lu Depamen o Fnance S Hsn Unves # Mu-Ca Road Sec Tape 64 Tawan ROC ABSTRACT In

More information

An Exact Resource Allocation Model with Hard and Soft Resource Constraints

An Exact Resource Allocation Model with Hard and Soft Resource Constraints An Exac Resouce Allocaon Model wh Had and Sof Resouce Consans Sxeenh Annual Confeence of POMS, Chcago, IL, Apl 29 - May 2, 2005. Feenc Kuzslcz (kuzslc@kk.pe.hu) nvesy of Pécs, Depamen of Busness Infomacs,

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

Comparative Study of Inventory Model for Duopolistic Market under Trade Credit Deepa H Kandpal *, Khimya S Tinani #

Comparative Study of Inventory Model for Duopolistic Market under Trade Credit Deepa H Kandpal *, Khimya S Tinani # Inenaonal Jounal of Saska an Mahemaka ISSN: 77-79 E-ISSN: 49-865 Volume 6 Issue pp -9 ompaave Suy of Invenoy Moel fo Duopolsc Make une ae e Deepa H Kanpal * Khmya S nan # Depamen of Sascs Faculy of Scence

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

MCTDH Approach to Strong Field Dynamics

MCTDH Approach to Strong Field Dynamics MCTDH ppoach o Song Feld Dynamcs Suen Sukasyan Thomas Babec and Msha Ivanov Unvesy o Oawa Canada Impeal College ondon UK KITP Sana Babaa. May 8 009 Movaon Song eld dynamcs Role o elecon coelaon Tunnel

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

Reinforcement learning

Reinforcement learning Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback

More information

A Methodology for Detecting the Change of Customer Behavior based on Association Rule Mining

A Methodology for Detecting the Change of Customer Behavior based on Association Rule Mining A Mehodology fo Deecng he Change of Cusome Behavo based on Assocaon Rule Mnng Hee Seo Song, Soung He Km KAIST Gaduae School of Managemen Jae Kyeong Km KyungHee Unvesy Absac Undesandng and adapng o changes

More information

Fast Calibration for Robot Welding System with Laser Vision

Fast Calibration for Robot Welding System with Laser Vision Fas Calbaon fo Robo Weldng Ssem h Lase Vson Lu Su Mechancal & Eleccal Engneeng Nanchang Unves Nanchang, Chna Wang Guoong Mechancal Engneeng Souh Chna Unves of echnolog Guanghou, Chna Absac Camea calbaon

More information

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA Mchaela Chocholaá Unversy of Economcs Braslava, Slovaka Inroducon (1) one of he characersc feaures of sock reurns

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias

More information

A VISCOPLASTIC MODEL OF ASYMMETRICAL COLD ROLLING

A VISCOPLASTIC MODEL OF ASYMMETRICAL COLD ROLLING SISOM 4, BUCHAEST, - May A VISCOPLASTIC MODEL OF ASYMMETICAL COLD OLLING odca IOAN Spu Hae Unvesy Buchaes, odcaoan7@homal.com Absac: In hs pape s gven a soluon of asymmecal sp ollng poblem usng a Bngham

More information

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness

More information

Adaptive complex modified hybrid function projective synchronization of different dimensional complex chaos with uncertain complex parameters

Adaptive complex modified hybrid function projective synchronization of different dimensional complex chaos with uncertain complex parameters Nonlnea Dyn (26) 83:9 2 DOI.7/s7--239-8 ORIGINAL PAPER Adapve complex modfed hybd funcon pojecve synchonzaon of dffeen dmensonal complex chaos wh uncean complex paamees Jan Lu Shuang Lu Julen Clnon Spo

More information

Rotor profile design in a hypogerotor pump

Rotor profile design in a hypogerotor pump Jounal of Mechancal Scence and Technology (009 459~470 Jounal of Mechancal Scence and Technology www.spngelnk.com/conen/78-494x DOI 0.007/s06-009-007-y oo pofle desgn n a hypogeoo pump Soon-Man Kwon *,

More information

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables

Real-coded Quantum Evolutionary Algorithm for Global Numerical Optimization with Continuous Variables Chnese Jounal of Eleconcs Vol.20, No.3, July 2011 Real-coded Quanum Evoluonay Algohm fo Global Numecal Opmzaon wh Connuous Vaables GAO Hu 1 and ZHANG Ru 2 (1.School of Taffc and Tanspoaon, Souhwes Jaoong

More information

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions A Bef Gude to Recognzng and Copng Wth Falues of the Classcal Regesson Assumptons Model: Y 1 k X 1 X fxed n epeated samples IID 0, I. Specfcaton Poblems A. Unnecessay explanatoy vaables 1. OLS s no longe

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information