hal , version 4-27 May 2013
|
|
- Cordelia Boyd
- 7 years ago
- Views:
Transcription
1 Inernaional Journal of Theoreical Applied Finance c World Scienific Publishing Company Monooniciy of Prices in Heson Model hal , version 4-7 May 13 S. M. OULD ALY Universi Paris-Es, Laboraoire d Analyse e de Mahmaiques Appliques 5, boulevard Descares, Marne-la-Valle cedex, France sidi-mohamed.ouldaly@univ-mlv.fr Received 9 May 1 Revised 4 Ocober 1 In his aricle, we sudy he price monooniciy in he parameers of he Heson model for a conrac wih a convex pay-off funcion; in paricular we consider European pu opions. We show ha he price is increasing in he consan erm in he drif of he variance process decreasing in he coefficien of he linear erm in he drif of variance process. We also show ha he price is increasing in he correlaion for small values of he sock decreasing for he large values. Keywords: Heson model; Monooniciy; Pu opions; Maximum principle; Correlaion. 1. Inroducion The main aracion of he Black-Scholes model is he abiliy o express he price of European opions in erms of a volailiy parameer. Moreover, for convex payoffs, hese formulas are sricly increasing wih respec o he volailiy parameer, which can cover he risk associaed wih his parameer hrough he purchase or sale of opions. However, following he rejecion of deerminisic volailiy assumpion by empirical sudies, praciioners are increasingly convinced ha he bes way o model he dynamics of an underlying is o consider a model he process of insananeous variance is sochasic. In a general sochasic volailiy model, he variance process does no depend solely on is curren value. For example, under he Heson model, he variance process is given as he unique soluion of he following sochasic differenial equaion dv = a bv d + σ V dw, V = v. 1.1 The opions prices depend on he iniial value of he variance process v he parameers a, b, σ. These parameers are ofen calibraed o marke price of derivaives, so hey end o change heir values regularly. I is hen imporan o know he impac hey have on opion prices. The iniial value of he variance process has a posiive effec on prices of convex pay-off in a large class of sochasic volailiy models. See for example, Bergman e al. 1996, Hobson 1998, Janson Tysk Kijima. When 1
2 S. M. OULD ALY hal , version 4-7 May 13 he volailiy process is sochasic bu bounded beween wo values m M, El Karoui e al 1998 show ha he price of an opion is bounded beween he Black- Scholes prices wih volailiies m M. In [17], Romano Touzi show ha he derivaive of he value-funcion of an opion wih respec o he volailiy under models such as Hull Whie 1987 Sco 1987 has a consan sign, does no vanish before mauriy. Henderson 5 shows ha convex opion prices are decreasing in he marke price of volailiy risk. However, o our knowledge, he dependence of he European opion price on he correlaion parameer is no known in any sochasic volailiy model. In his aricle, we sudy he price monooniciy of European pu opions wih respec o he parameers v, a, b. We firs show ha he value funcion of pu price is a classical soluion of he Black-Scholes equaion. Then using a Maximum principle we show ha he price is increasing in he iniial value of he variance process as well as in he consan erm in he drif of he variance process decreasing in he coefficien of he linear erm in he drif of variance process. We also show ha he price is increasing in he correlaion for small values of he sock decreasing for he large values. This paper is organized as follows: In secion we recall some properies of he pu price in he Heson model. In secion 3 we sudy he monooniciy of he price wih respec o he parameers of he drif of he variance process. The secion 4 is devoed o he sudy of he monooniciy wih respec o he correlaion.. Preliminaries Under a complee filered probabiliy space Ω, F, F, P saisfying he usual condiions, we consider he Heson sochasic volailiy model for a price process S, defined by he following sochasic differenial equaions ds S = V dw 1, dv = a bv d + σ V dw, d W 1, W = d,.1 a, b, σ > < 1. Le S, V be he soluion of his equaion wih iniial value S = s, V = v. One can wrie S s as S = s exp Vs dws 1 1 V s ds. The process S is a local maringale; i is even a rue maringale, by Mijaović Urusov [14]. Thereby, using he Call-Pu pariy, all he resuls of his paper hold for Call opions. We consider an European pu opion on S wih srike K mauriy. Is curren price is given, for s, v R + R +, by P, s, v = E [K S + S = s; V = v]..3
3 Monooniciy of Prices in Heson Model 3 If we replace he pu pay-off by a funcion g C R such ha xg x g are bounded, hen Eksröm, Tysk 1 cf. [4] Theorem..3 show ha he funcion u, s, v := E [gs S = s, V = v].4 hal , version 4-7 May 13 is a classical soluion of he pricing equaion. In paricular, i saisfies u C 3 R + C 1,, R 3 + C 1,,1 R + R + R +. In addiion, a probabilisic represenaion of he derivaive of u wih respec o v is given as u, s, v = E v dŝs Ŝ s [ e bτ Ŝs τ u s τ, Ŝs τ, ˆV v τ dτ ],.5 Ŝs, ˆV v is he unique soluion saring from s, v o he sochasic differenial equaion = σd + ˆV v dw 1, d ˆV v = a + σ b ˆV v d + σ ˆV v dw..6 Obviously, he European pu pay-off does no saisfy he assumpions of his heorem. Neverheless, Proposiions of [4] which require only g o be coninuous bounded ensure ha P CR 3 + C 1,, R + 3 so ha Lϕ = ϕ + LP, s, v =,, s, v R + R + R +, P, s, v = K s +, s, v R + R +, a bv v + 1 s v.7 s + 1 σ v + σsv ϕ..8 v v s 3. Monooniciy wih respec o he parameers v, a b In his secion we sudy he monooniciy properies of he pu price wih respec o he parameers v, a b. We firs give an exension of he resul of [4] o he European pu pay-off. Theorem 3.1. In addiion o.7, we have P C 1,,1 R + R + R +. Furhermore, he derivaive of P wih respec o v is given by [ P ], s, v = E e bτ h τ, v Ŝs τ, ˆV τ v dτ, 3.1 Ŝs, ˆV v is he soluion saring from s, v o.6 h is defined on R + 3 by hτ, x, y = E y K N logx/k τ Vu dw u + 1 τ V udu τ V udu, τ V udu 3. N is he cumulaive disribuion funcion of he sard normal law.
4 4 S. M. OULD ALY Remark 3.1. Noe ha he funcion h, s, v is simply s ss P, s, v. As a direc consequence of his heorem, we have for any, s >, he funcion v P, s, v is increasing. Proof. Wriing S = s exp Vs dws + Vs dŵ s 1 V s ds, 3.3 hal , version 4-7 May 13 he Brownian moion Ŵ in independen from W, we have [ ] P, s, v = K E [Nd 1 ] s E e VudW u Vudu Nd, 3.4 d 1 = log s K Vu dw u + 1 V udu V udu d = d V u du. 3.6 We can wrie ss P, s, v, using his sochasic represenaion of P, as P s = E K/s v N logs/k Vu dw u + 1 V udu. Se V udu V udu 3.7 h, s, v = s P, s, v. 3.8 s The main purpose of he assumpion xg xg are bounded is o give a sochasic represenaion of he second derivaive of P wih respec o s o ensure ha i is coninuous bounded. Here we see ha we have a sochasic represenaion of ss P given by 3.7. Following he procedure of [4] cf Proposiion 4.1, 4., we only need o show ha he funcion [ ], s, v H, s, v := E e bτ h τ, Ŝs τ, ˆV τ v dτ 3.9 is coninuous on R + R + R + bounded by an inegrable rom variable. For his, we consider a sequence n, s n, v n, s, v show ha H n, s n, v n converges o H, s, v. As Ŝsn vn τ, ˆV τ converges o Ŝs τ, ˆV τ v in probabiliy, we only need o find an upper bound of H, s, v by an inegrable rom variable conclude by applying he dominaed convergence heorem.
5 Monooniciy of Prices in Heson Model 5 hal , version 4-7 May 13 To obain he desired upper bound, we firs noe ha for any x, y R τ we have hx, y, τ E y K π =: M τ, y. 3.1 τ V u du We can easily see ha for any y 1 y, we have M τ, y 1 M τ, y On he oher h, by he comparison heorem, we have I follows ha Then, ˆV v τ [ E hŝs τ, ˆV ] τ v, τ E [M τ, V v V v τ, a.s. 3.1 M τ, ˆV v τ M τ, V v τ, a.s τ ] = E E V v τ K π τ V u du = E v K π τ V udu The las line follows from he Markov propery of he process V. I follows ha [ ] E e bτ h v Ŝs τ, ˆV τ v, τdτ E v K π dτ τ V udu We have, by Dufresne [3], E v Moreover, for any v, we have 1 < +, τ > τ V udu lim I follows ha for any v, τ τ 3 Ev 1 = τ V udu E 1 dτ < τ V u v du The res of he proof of he Theorem is idenical o Proposiion 3.1 of [4] by using his upper bound. Thus, he funcion H is coninuous on R + R + R +.
6 6 S. M. OULD ALY Monooniciy wih respec o a b We now sudy he monooniciy properies of he pu price wih respec o he parameers a b. Noe ha he pahs of he variance process are increasing wih respec o a decreasing wih respec o b. This means ha increasing a generaes higher volailiy which will increase he Pu price. To verify his claim, we will le he pu price vary in erms of a b : We wrie [ P a,b, s, v = E K S a,b + S a,b = s; V a,b = v ], 3.19 hal , version 4-7 May 13 S a,b, V a,b is he unique soluion saring wih s, v of he sochasic differenial equaions = V a,b dw 1, ds a,b S a,b dv a,b = a bv a,b d + σ V a,b dw, d W 1, W = d. 3. The following maximum principle will be crucial for he proof of he main resul of his secion. The proof of his heorem can be found in he appendix. Theorem 3. Maximum Principle. For >, le µ = sup {µ > : ES µ < }. 3.1 Le L be he operaor defined by.8 ϕ C 1,, R + 3 CR 3 + so ha Suppose ϕ saisfies, M >, λ < µ : sup ϕ, s, v M λ. 3. τ, s M, v R Lϕ, s, v resp <,, s, v ], + [ R + R +, ϕ, s, v, s, v R + R Then ϕ resp ϕ > on R + 3. We esablish he monooniciy of P wih respec o a b in he following resul Proposiion 3.1. Le a > a 1 b 1 < b. We have P a1,b, s, v < P a,b, s, v, b,, s, v R P a,b1, s, v > P a,b, s, v, a σ,, s, v R Proof. For any a, b, le L a,b ϕ = rϕ ϕ + rs.. + a bv s v + 1 s v. s + 1 σ v. v + σsv. ϕ v s 3.6
7 Monooniciy of Prices in Heson Model 7 We can easily check ha L a,b P a,b P a1,b, s, v = a a 1 P a 1,b v,, s, v R + 3, P a,b P a1,b, s, v =, s, v R +. L a,b P a,b1 P a,b, s, v = b b 1 v P a,b 1 v,, s, v R + 3, P a,b1 P a,b, s, v =, s, v R hal , version 4-7 May 13 We have, by Theorem 3.1, he funcion v P a1,b v P a,b1 are posiive. Then, by Theorem 3., ha P a,b P a1,b > P a,b1 P a,b >. 4. Monooniciy wih respec o he correlaion This secion focuses on he monooniciy properies of he price of he European pu wih respec o he correlaion. Noe ha he mehod we used in he previous secion o esablish he monooniciy wih respec o v, a b can no be applied here. Indeed, he idea of his mehod was o differeniae.7 wih respec o he parameer considered obain a differenial sysem as Lu < on C u on C, which gives he sign of u by applying he maximum principle; while if we differeniae.7 wih respec o, we obain he sysem L P P P, s, v = σsv s v, s, v,, s, v ], T ] R + R +,, s, v =, s, v R + R As he sign of sv P is no necessarily consan, his does no allow us o deduce he sign of he derivaive of P wih respec o using he maximum principle. To analyze he impac of in he price P, we will sudy he sign of he derivaive of P wih respec o. This derivaive can be obained by differeniaing 3.4 wih respec o : P = E log K s e x N x Vu dw u + 1 I x Vu dw u + I dx, I udu 3 I 4. I := V udu. The sign P is no obvious, however he following figure shows ha here is a change of monooniciy depending on he value of he srike price. We see ha P is posiive for s < K = 1 negaive for for s > 1. In order o deermine if his change of monooniciy is unique, we will sudy in deails he sign of he derivaive of P wih respec o for s very large very small. For his we define he quaniies s, v = inf {s > : { s, v = sup s > : } P, s, v 4.3 } P, s, v. 4.4
8 8 S. M. OULD ALY hal , version 4-7 May 13 Fig. 1. P for s [.4,.5] K = 1, v =.1, b = 3, σ =. =.5. Having s > resp s < + means ha P is posiive resp negaive for s small resp s large. We nex presen he main resul of his secion. Theorem 4.1. For any, v > ] 1, 1[, we have < s, v s, v < Proof. We use he resuls obained in [16], i is shown ha for R sufficienly large, we have ln P 1 I + Vu dwu 1 > R µ + R 4.6 ln P 1 I + Vu dwu 1 < R µ R, 4.7 wih µ + = inf {p >, T p = } > 1, µ = inf {p >, T p = } { p T p = sup >, E Q p } exp V u du < +, 4.8 under Q he process V saisfies he sochasic differenial equaion dv = a b σpv d + σ V dw Q. 4.9 We can easily see ha, for k sufficienly large, we have ln P, e k, v µ k, ln P, e k, v 1 e k µ + k 4.1 P, e k, v lim k + kp, e k, v = µ, lim k + P, e k, v kp, e k, v 1 e k = µ
9 Monooniciy of Prices in Heson Model 9 By he comparison heorem, he process V is increasing wih respec o under Q see also [15] for p > decreasing for p <. This means ha for p > 1, T p as a funcion of is decreasing for any p >, T p is increasing. On he oher h, p T p is decreasing near µ + p T p is increasing near µ. I follows ha µ + is decreasing wih respec o µ is increasing wih respec o. This means ha, for k sufficienly large, we have P, e k, v > 4.1 hal , version 4-7 May 13 Thus 4.5. P, e k, v < So far we confirmed ha < s s < +, which means ha he Pu price is increasing in he correlaion for small values of he sock price decreasing for large values. The quesion is wheher s = s, which means ha here is only one poin s, v so ha he derivaive of P wih respec o is posiive for s s negaive for s > s. All numerical experimens seem o confirm his inuiion. In he nex secions, we will show ha s = s for shor long mauriies Small-Time Asympoic Behavior We sudy here he monooniciy wih respec o he correlaion for shor mauriies. The main resul of his secion is he following Proposiion Proposiion 4.1. Consequenly, For any ] 1, 1[ any v R +, we have P lim sign, e x, v = sign x lim s, v = lim s, v = Proof. Le S, V be he unique soluion of.6 saring wih s, v. By Forde Jacquier cf [6], we have lim log EK S + = Λ log K, for s > K 4.16 s lim log ES K + = Λ log K, for s < K, 4.17 s Λ is he Fenchel-Legendre ransform of he funcion Λ defined by vp Λp = σ 1 co 1 σp, for p ]p, p + [, 1 Λp =, for p R\]p, p + [, 4.18
10 1 S. M. OULD ALY hal , version 4-7 May 13 wih p p + are given by 1 1 arcan p = 1 σ 1 < π π + arcan σ 1 = + 1 σ 1 >, π + arcan p + = 1 σ 1 < + π arcan σ 1 = + 1 σ 1 >. 4. The funcion Λ is given by p x is he unique soluion of Λ x = xp x Λp x, 4.1 x = Λ p x 4. Λ is given by Λ v p = σ co 1 σp + σvp csc 1 σp σ co 1 σp. 4.3 Le Σ x be he Black-Scholes implied volailiy, defined as he unique soluion of P BS, s, k, Σ = KN P, K e x, v = P BS, K e x, K; Σ x, 4.4 logs/k + Σ/ logs/k Σ/ sn. 4.5 Σ Σ By Theorem.4 of [6], we have lim Σ x x = Λ x. 4.6 Wriing P, s, v in erms of he Black-Schole implied volailiy as in 4.4 noing ha he dependence of he righ erm of 4.4 wih respec o is only hrough Σ using he fac ha he Black-Scholes pu price is is increasing wih respec o he implied volailiy, we see ha p, s, v Σ logk/s have he same monooniciy wih respec o he correlaion. Therefore sign P, s, v = sign Σ log K s. 4.7 The implied volailiy is differeniable wih respec o he correlaion. Moreover, using Lemma 4.1 below, we have Σ x lim = x Λ x Λ x Λ x. 4.8
11 Monooniciy of Prices in Heson Model 11 Le s consider he derivaive of Λ x wih respec o, for x R. This derivaive is given by Λ x = p x x Λ p x Λ p x = Λ p x as Λ p x = x [ vp x 1 coθ x θ x csc θ x ] + 1 = σ, 4.9 coθ x hal , version 4-7 May 13 θ x := 1 σp x. 4.3 Using Lemma 4. below, which ensures ha, for any x R, we have coθ x θ x csc θ x + 1 >, 4.31 sign Λ x = sign vp x. 4.3 On he oher h, as p x has he same sign as x, we deduce ha for sufficienly small, we have Lemma 4.1. sign P = sign Σ x = sign Λ x = sign log K s. For any x, we have Σ x lim = x Λ x Λ x Λ x Lemma 4.. For any [ 1, 1] x R, we have coθ x θ x csc θ x + 1 > Large-Time Asympoic Behavior I is known ha for long mauriies he implied volailiy curve in a sochasic volailiy model flaens, so i does no depend on he srike. Under Heson model, Forde e al [7] showed ha under he assumpion b σ > he implied volailiy can be wrien as Σ x = 8V + a 1 x/ + o, 4.35 V a 1 are given below. The main resul of his secion is he following resul
12 1 S. M. OULD ALY Proposiion 4.. For any ] 1, 1[ such ha b σ > for any v >, we have lim + s, v = lim + s, v = Proof. We will use he noaions of [7]. Under he assumpion b σ >, we have, for any p ]p, p + [, hal , version 4-7 May 13 V p = lim 1 log E [exp px x ] = a b σp d ip, 4.37 σ d ip = b σp + σ p p 4.38 p ± := b + σ ± σ + 4b 4bσ Le s consider he funcion p : R ]p, p + [ defined by 1/ σ b + a + xσ σ +4b 4bσ p x x := σ +xaσ+a σ, for x R. 4.4 For sufficienly large x R, we have cf. [7] 1 S ES S e x + = 1 + A π exp 1 p x V 1 + O1/, 4.41 V is he Fenchel-Legendre ransform of V defined by V x := sup {px V p, p ]p, p + [ } 4.4 A is he funcion defined in a neighborhood of by 1 Up x Ax = V p x p x1 p x, 4.43 Up := d ip b σp + d ip a σ exp v a V p Similarly, he Black-Scholes implied volailiy can be wrien as cf. [7], Theorem 3. Σ x = 8V + a 1 x/ + o, 4.45 a 1 x = 8 log A V + 4p 1x In paricular, for any x R, we have lim + Σ x = 8V. 4.47
13 Monooniciy of Prices in Heson Model 13 Now using 4.45 we show, in a similar way as Lemma 4.1, ha We have V Σ x lim + = 8 V = V p + x V p p = V p = a σ σp + σp b σp b σp + σ p p hal , version 4-7 May 13 = a p 1 p b σp + σ p p The firs wo lines follow from he fac ha V p =. For =, we have V = a b 1 + >. 4.5 = σ b + σ /4 Lemma 4.3 below ensures ha he funcion ϕ defined in 4.55 is increasing. Noe ha, for any [ 1, 1], we have ϕ = p As ϕ = 1, we deduce ha for any, ϕ 1/ has he same sign as. This means ha Therefore, we have I follows ha for any x R, V ϕ 1/ >. 4.5 >, [ 1, 1] Σ x lim > I follows ha for sufficienly large, he pu price is increasing wih respec o he correlaion. Thus Lemma 4.3. The funcion ϕ defined by ] 1, 1[ ϕ := σ b + σ + 4b 4bσ σ 4.55 is increasing.
14 14 S. M. OULD ALY 5. Appendix Appendix A. Proof of Theorem 3. Suppose, s, v R + 3 so ha ϕ, s, v <. Consider S s, V v he unique soluion of he sochasic differenial equaions hal , version 4-7 May 13 ds s S s dv v = V v dw 1, = a bv v d + σ V v = v. S s = s, V v Le s define he F-sopping imes τ = inf dw, d W 1, W = d, { u [, ] : ϕ u, S s u, V v u } ϕ, s, v { [ ] c } 1 τ n = inf u [, ] : Su s Vu v n, n. A.1 A. A.3 We have Pτ < = 1. Applying he Iô formula o he process ϕ u, Su, s Vu v u beween τ τ n, we have ϕ τ τ n, Sτ τ s n, Vτ τ v n = ϕ, s, v + σ + As S V are in ], n], we have τ τn τ τn τ τn τ τn S s u V v u s ϕ u, S s u, V v u dw 1 u + V v u v ϕ u, S s u, V v u dw τ Lϕ u, S s u, V v u du. A.4 ϕ, s, v = E Lϕ u, Su, s Vu v du + E [ ϕ τ τ n, Sτ τ s n, Vτ τ v n ] E [ ϕ τ τ n, Sτ τ s n, Vτ τ v n ] ϕ, s, v P τ τ n + E [ ϕ τ n, S s τ n, V v τ ] n 1 τ> τn. A.5 Wriing {τ > τ n } = {sup u τ V u n} {sup S u n}, u τ A.6 we have E ϕ τn, S s τ n, V v τ n 1 τ> τn n λ P sup V u n + P sup S u n. A.7 u u Now using Doob s maringale inequaliy, we have P sup S u n u µ ES +λ n µ +λ = n λ P sup S u n u µ ES +λ n µ λ n. A.8
15 Monooniciy of Prices in Heson Model 15 Similarly, applying Doob s maringale inequaliy o he maringale e b V a b aking ino accoun he fac ha hal , version 4-7 May 13 we obain Therefore EV p <, p >, lim n nλ P sup V u n u lim n E ϕ τ n, S s τ n, V v τ n 1 τ> τn =. A.9 =. A.1 A.11 This means ha ϕ, s, v ϕ, s, v. A.1 Hence he conradicion ϕ, s, v is supposed o be negaive. Thus ϕ. Now assume Lϕ <. Le s ake, s, v wih >. Applying he Iô formula o he process ϕ u, Su, s Vu v u beween τ n, we have ϕ τ n, S s τn, V v τn = ϕ, s, v + τn Su s V v u s ϕ u, Su, s Vu v dwu 1 + τn σ V v u v ϕ u, Su, s Vu v dwτ + We ge, by he same way as before, Thus ϕ, s, v >. ϕ, s, v E τn Lϕ u, S s u, V v u du. Lϕ u, S s u, V v u du >. A.13 A.14 Appendix B. Proof of Lemma 4.1: The pu price P is given, in erms of he Black-Scholes implied volailiy, by logs/k + P, s, v = KN Σ logs/k sn Σ. B.1 Σ Σ Differeniaing his expression on boh sides wih respec o, we can wrie P as P logs/k +, s, v = KN Σ Σ logs/k. Σ B. On he oher h, by 4.6, we know ha lim Σ x x = Λ x. B.3
16 16 S. M. OULD ALY Moreover he funcion x / Λ x is C 1 on ] 1, 1[. We claim ha Σ is bounded near. This is equivalen o say ha P, s, v K N logs/k + Σ / is bounded. B.4 Σ hal , version 4-7 May 13 Wriing P = E K s exp we can wrie P as [ P, s, v = E Vu dw 1 u + Vu dw 1 u + Applying he Hölder inequaliy, wih p > 1, we have P, s, v [ E S Vu dw 1 u + PK S can be wrien as PK S = P K = N S logs/k + Σ Σ On he oher h, for any y >, we have N y 1 y Vu dwu I /, B.5 + Vu dw u S 1 K S ]. B.6 p] 1/p Vu dwu [PK S ] p 1 B.7 p, logs/k + +KN Σ Σ Σ K. B.8 exp y / π. B.9 I follows ha for any s > K sufficienly small, we have logs/k + N Σ Σ logs/k + Σ logs/k N Σ. B.1 Σ Σ Then, for s > K, here exiss a consan M > such ha, for sufficienly small, we have PK S M logs/k + N Σ. B.11 Σ I follows ha P, s, v N logs/k+ M [E Y p ] 1/p Σ Σ [ N logs/k + ] 1 Σ p, Σ B.1
17 Monooniciy of Prices in Heson Model 17 Y = exp Vu dw 1 u + Se x = logs/k. For small, Vu dw u Vu dw 1 u + Vu dwu I /. B.13 hal , version 4-7 May 13 We choose p so ha For his paricular p, we have x + Σ Σ x Σ. p = p = c. B.14 B.15 [ N logs/k + ] 1 Σ p M 3 exp log x M 4. Σ c Σ B.16 We nex show ha [E Y p ] 1/p is bounded for close o. For his, we use he usual inequaliy We ge Y 1 = exp 1 y e y + e y, y R. B.17 Y Y 1 + Y, B.18 Vu dw 1 u + + Vu dw u I / B.19 Y = exp 1 + Vu dw 1 u + Vu dw u I /. B. Boh Y 1 Y can be wrien as Y i = exp α i Vu dwu 1 + β i Vu dwu 1 I, i = 1,. B.1 In paricular, we have E Y p i = E exp α i p = E exp α i p Vu dwu 1 + β i p Vu dwu p I Vu dwu 1 + β i p p I. B.
18 18 S. M. OULD ALY By [16] he fac ha we have, for p sufficienly large, Vu dw 1 u = V v a + bi /σ, B.3 E Y p i = exp α i pv + a/σ + aϕ + vψ, B.4 hal , version 4-7 May 13 wih I follows ha ψ = b λ i σ + pσ b σ an g, p, ϕ = b σ + log cos g, p log cos g, p σ B.5 λ i g, p = pσ b λ i + arcan 1pσ b λ i pσ b, λ i 1p = α i p/σ λ i p = β i p p B.6 + α i bp/σ. B.7 [E Y p i ]1/p = exp α i v + a/σ + a ϕ p + v ψ. B.8 p In paricular, for p = p = c/, we have, for sufficienly small, Similarly, we have a ϕ p + v ψ p g, p cβ iσ vβ ic σ + arcan α i β i. B.9 cβi σ an + arcan α i. B.3 β i Noe ha he coefficien c in B.15 was chosen so ha π/ < cβ iσ We finally have, for i = 1,, lim [E Y p vβi c i ]1/p = exp σ + arcan α i β i < π/, for i = 1,. B.31 cβi σ an + arcan α i < +. B.3 β i I follows ha, using B.1 B.16, he claim B.4 is verified. We proceed similarly for s < K, by using he call price insead of he pu price.
19 Monooniciy of Prices in Heson Model 19 Appendix C. Proof of Lemma 4.: Le s se ηx = coθ x θ x csc θ x + 1 C.1 hal , version 4-7 May 13 ηx = ϕθ x, ϕ is defined by cosθ ϕθ = sinθ 1 θ sin + 1. C. θ For any x R, p x [p, p + ], we have θ := 1 σ p θ x 1 σ p + =: θ, x R. C.3 So we only need o show ha ϕ is posiive on [θ, θ]. We can easily see ha ϕ is C 1 on [ θ, θ ] \{}, is derivaive is given by ϕ θ = A simple sudy of he sign of he funcion sinθ + θ cosθ sin 3. C.4 θ θ + cosθ sinθ, C.5 shows ha i reaches is maximum on [ θ, θ ] a his maximum is equal o <. We deduce ha We only have wo possible siuaions: ϕ θ, θ [ θ, θ ]. C.6 Case > : In his case, we have θ = π + arcan e θ = arcan. C.7 On he oher h, he funcion ϕ is decreasing on [ θ, θ ]. In paricular, we have, for any θ [ θ, θ ], ϕθ ϕ θ = 1 arcan = 1 + arcan. We do he following change of variables y = = y. C.8
20 S. M. OULD ALY We obain ϕθ ϕ θ = 1 y + y y arcan y >, C.9 hal , version 4-7 May 13 as he minimum of he funcion y +y y arcan y is reached a he 3+ poin y = 17 is.78. Case < : In his case, we have θ = arcan e θ = π + arcan. C.1 The funcion ϕ is increasing on [ θ, θ ]. In paricular, we have, for any θ [ θ, θ], ϕθ ϕθ = arcan 1 = 1 + arcan. C.11 We do he following change of variables z = = z C.1 Thus ϕθ ϕθ = 1 z +z z arcan z >. Appendix D. Proof of Lemma 4.3 The funcion ϕ is defined on [ 1, 1], by for ] 1, 1[, ϕ = σ b + σ + 4b 4bσ σ, D.1 ϕ 1 = σ + 4b 4b σ, ϕ1 = 4σ + b 4b σ. D. The funcion ϕ is C 1 on [ 1, 1], is derivaive is given, by ϕ = b + σ + 4b 4bσ σ for ] 1, 1[, ϕ 1 = b σ σ + b 3 + σ σ + b, ϕ 1 = bσ σ σ + 4b 4bσ + p, D.3 b σ b σ 3 + σ. D.4 b σ
21 Monooniciy of Prices in Heson Model 1 We will show ha ϕ >, for any ] 1, 1[. We firs noe ha ϕ has he same sign as h = 1 + σ b + σ + 4b 4bσ 1 + bσ σ + 4b 4bσ. D.5 On he oher h, h can be wrien as h = α + α + β + γ γ/ α + β + γ, D.6 hal , version 4-7 May 13 α = σ b, β = σ e γ = 4bσ. D I follows ha h has he same sign as he quaniy λ α, β, γ Γ = α α + β + γ + α + β + γ/, Γ = { α, β, γ : α + β + γ }. D.8 D.9 Noe ha if α γ, hen h. To sudy he sign in he general case, we consider he derivaive of λ wih respec o γ. I is given by We discuss four cases γ λα, β, γ = α + α + β + γ. D.1 Case α γ : On Γ {α, γ }, we have λα, β, γ Γ = α α + β + γ + α + β + γ/. D.11 Case α γ : On Γ {α, γ }, we have λα, β, γ Γ = α α + β + γ + α + β + γ γ/. D.1 Case α γ : In his case, he minimum of λ on Γ {α, γ } is reached a γ = β his minimum is equal o β /. Case α γ : In his case, for any β, he funcion γ λα, β, γ is increasing on [, + [. In paricular, we have λα, β, γ λα, β, = α α + β + α + β. D.13 In all cases, we have λα, β, γ >, α, β, γ Γ. D.14 Thus, ϕ >, [ 1, 1].
22 S. M. OULD ALY Acknowledgmens I would like o hank Professor Damien Lamberon for many useful discussions anonymous referee who read he firs version helped me improve he presenaion. hal , version 4-7 May 13 References [1] Y. Z. Bergman, B. D. Grundy Z. Wiener, General Properies of Opion Prices, Journal of Finance, American Finance Associaion [] R. Con, Empirical properies of asse reurns: sylized facs saisical issues, Quaniaive Finance [3] D. Dufresne, The inegraed square-roo process. Research Paper no. 9, Cener for Acuarial Sudies, Universiy of Melbourne, 1. [4] E. Eksröm J. Tysk, The Black Scholes equaion in sochasic volailiy models, J. Mah. Anal. Appl [5] N. El Karoui, M. Jeanblanc-Picqu, S. E. Shreve, Robusness of he Black Scholes formula, Mah. Finance8 1998, [6] M. Forde A. Jaquier, Small-ime asympoic for implied volailiy under he Heson model, Inernaional Journal of Theoreical Applied Finance, [7] M. Forde, A. Jacquier A. Mijaović, Asympoic formulae for implied volailiy under he Heson model, Proceedings of he Royal Sociey A, : [8] V. Henderson, Analyical Comparisons of Opion prices in Sochasic Volailiy Models, Mahemaical Finance [9] D. Hobson, Volailiy Misspecificaion, Opion Pricing Superreplicaion via Coupling, Ann. Appl. Probab [1] D. Hobson, Comparison resuls for sochasic volailiy models via coupling, Finance Sochasics [11] J. Hull A. Whie, The Pricing of Opions on Asses wih Sochasic Volailiies, J. Finance [1] S. Janson J. Tysk, Volailiy ime Properies of Opion Prices, Ann. Appl. Probab [13] M. Kijima, Monooniciy convexiy of opion prices revisied, Mah. Finance [14] A. Mijaović M. Urusov, On he maringale propery of cerain local maringales, Acceped in Probabiliy Theory Relaed Fields 1. [15] S. M. Ould Aly, Parameer sensiiviy of CIR process, Forhcoming in Elecronic Communicaions in Probabiliy. 13. [16] S. M. Ould Aly, From he momen explosions o he asympoic behavior of he cumulaive disribuion, preprin 13. [17] M. Romano N. Touzi, Coningen claims marke compleeness in a sochasic volailiy model, Mahemaical Finance [18] L.O. Sco, Opion pricing when he variance changes romly : heory, esimaion, an applicaion, J. Finan. Quan. Anal
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 informationStochastic Optimal Control Problem for Life Insurance
Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian
More informationThe 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 informationChapter 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 informationA 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= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,
Chaper 19 The Black-Scholes-Vasicek Model The Black-Scholes-Vasicek model is given by a sandard ime-dependen Black-Scholes model for he sock price process S, wih ime-dependen bu deerminisic volailiy σ
More informationJournal 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 informationA Probability Density Function for Google s stocks
A Probabiliy Densiy Funcion for Google s socks V.Dorobanu Physics Deparmen, Poliehnica Universiy of Timisoara, Romania Absrac. I is an approach o inroduce he Fokker Planck equaion as an ineresing naural
More informationON THE PRICING OF EQUITY-LINKED LIFE INSURANCE CONTRACTS IN GAUSSIAN FINANCIAL ENVIRONMENT
Teor Imov r.amaem.sais. Theor. Probabiliy and Mah. Sais. Vip. 7, 24 No. 7, 25, Pages 15 111 S 94-9(5)634-4 Aricle elecronically published on Augus 12, 25 ON THE PRICING OF EQUITY-LINKED LIFE INSURANCE
More informationTechnical Appendix to Risk, Return, and Dividends
Technical Appendix o Risk, Reurn, and Dividends Andrew Ang Columbia Universiy and NBER Jun Liu UC San Diego This Version: 28 Augus, 2006 Columbia Business School, 3022 Broadway 805 Uris, New York NY 10027,
More informationLECTURE 7 Interest Rate Models I: Short Rate Models
LECTURE 7 Ineres Rae Models I: Shor Rae Models Spring Term 212 MSc Financial Engineering School of Economics, Mahemaics and Saisics Birkbeck College Lecurer: Adriana Breccia email: abreccia@emsbbkacuk
More informationOptimal Investment and Consumption Decision of Family with Life Insurance
Opimal Invesmen and Consumpion Decision of Family wih Life Insurance Minsuk Kwak 1 2 Yong Hyun Shin 3 U Jin Choi 4 6h World Congress of he Bachelier Finance Sociey Torono, Canada June 25, 2010 1 Speaker
More informationMathematics 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 informationTerm 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 informationDifferential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.
Differenial Equaions Linear sysems are ofen described using differenial equaions. For example: d 2 y d 2 + 5dy + 6y f() d where f() is he inpu o he sysem and y() is he oupu. We know how o solve for y given
More informationOption Pricing Under Stochastic Interest Rates
I.J. Engineering and Manufacuring, 0,3, 8-89 ublished Online June 0 in MECS (hp://www.mecs-press.ne) DOI: 0.585/ijem.0.03. Available online a hp://www.mecs-press.ne/ijem Opion ricing Under Sochasic Ineres
More informationCointegration: 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 informationOptimal Stock Selling/Buying Strategy with reference to the Ultimate Average
Opimal Sock Selling/Buying Sraegy wih reference o he Ulimae Average Min Dai Dep of Mah, Naional Universiy of Singapore, Singapore Yifei Zhong Dep of Mah, Naional Universiy of Singapore, Singapore July
More informationDYNAMIC 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 informationLectures # 5 and 6: The Prime Number Theorem.
Lecures # 5 and 6: The Prime Number Theorem Noah Snyder July 8, 22 Riemann s Argumen Riemann used his analyically coninued ζ-funcion o skech an argumen which would give an acual formula for π( and sugges
More informationThe option pricing framework
Chaper 2 The opion pricing framework The opion markes based on swap raes or he LIBOR have become he larges fixed income markes, and caps (floors) and swapions are he mos imporan derivaives wihin hese markes.
More informationCapacitors 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 informationOption 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 informationA Generalized Bivariate Ornstein-Uhlenbeck Model for Financial Assets
A Generalized Bivariae Ornsein-Uhlenbeck Model for Financial Asses Romy Krämer, Mahias Richer Technische Universiä Chemniz, Fakulä für Mahemaik, 917 Chemniz, Germany Absrac In his paper, we sudy mahemaical
More informationUNIVERSITY OF CALGARY. Modeling of Currency Trading Markets and Pricing Their Derivatives in a Markov. Modulated Environment.
UNIVERSITY OF CALGARY Modeling of Currency Trading Markes and Pricing Their Derivaives in a Markov Modulaed Environmen by Maksym Terychnyi A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL
More informationINTEREST 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 informationPricing Guaranteed Minimum Withdrawal Benefits under Stochastic Interest Rates
Pricing Guaraneed Minimum Wihdrawal Benefis under Sochasic Ineres Raes Jingjiang Peng 1, Kwai Sun Leung 2 and Yue Kuen Kwok 3 Deparmen of Mahemaics, Hong Kong Universiy of Science and echnology, Clear
More informationWorking Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619
econsor www.econsor.eu Der Open-Access-Publikaionsserver der ZBW Leibniz-Informaionszenrum Wirschaf The Open Access Publicaion Server of he ZBW Leibniz Informaion Cenre for Economics Biagini, Francesca;
More informationVerification Theorems for Models of Optimal Consumption and Investment with Retirement and Constrained Borrowing
MATHEMATICS OF OPERATIONS RESEARCH Vol. 36, No. 4, November 2, pp. 62 635 issn 364-765X eissn 526-547 364 62 hp://dx.doi.org/.287/moor..57 2 INFORMS Verificaion Theorems for Models of Opimal Consumpion
More informationRandom Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary
Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes
More information1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t,
Homework6 Soluions.7 In Problem hrough 4 use he mehod of variaion of parameers o find a paricular soluion of he given differenial equaion. Then check your answer by using he mehod of undeermined coeffiens..
More informationAP 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 informationPricing Black-Scholes Options with Correlated Interest. Rate Risk and Credit Risk: An Extension
Pricing Black-choles Opions wih Correlaed Ineres Rae Risk and Credi Risk: An Exension zu-lang Liao a, and Hsing-Hua Huang b a irecor and Professor eparmen of inance Naional Universiy of Kaohsiung and Professor
More informationPricing 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 information11/6/2013. 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 informationModule 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 informationAP 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 informationANALYSIS 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 informationDifferential 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 informationValuation of Life Insurance Contracts with Simulated Guaranteed Interest Rate
Valuaion of Life Insurance Conracs wih Simulaed uaraneed Ineres Rae Xia uo and ao Wang Deparmen of Mahemaics Royal Insiue of echnology 100 44 Sockholm Acknowledgmens During he progress of he work on his
More informationModeling 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 informationCommunication 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 informationPRICING and STATIC REPLICATION of FX QUANTO OPTIONS
PRICING and STATIC REPLICATION of F QUANTO OPTIONS Fabio Mercurio Financial Models, Banca IMI 1 Inroducion 1.1 Noaion : he evaluaion ime. τ: he running ime. S τ : he price a ime τ in domesic currency of
More informationThe Torsion of Thin, Open Sections
EM 424: Torsion of hin secions 26 The Torsion of Thin, Open Secions The resuls we obained for he orsion of a hin recangle can also be used be used, wih some qualificaions, for oher hin open secions such
More informationLife insurance cash flows with policyholder behaviour
Life insurance cash flows wih policyholder behaviour Krisian Buchard,,1 & Thomas Møller, Deparmen of Mahemaical Sciences, Universiy of Copenhagen Universiesparken 5, DK-2100 Copenhagen Ø, Denmark PFA Pension,
More informationInductance and Transient Circuits
Chaper H Inducance and Transien Circuis Blinn College - Physics 2426 - Terry Honan As a consequence of Faraday's law a changing curren hrough one coil induces an EMF in anoher coil; his is known as muual
More informationAP Calculus AB 2007 Scoring Guidelines
AP Calculus AB 7 Scoring Guidelines The College Board: Connecing Sudens o College Success The College Board is a no-for-profi membership associaion whose mission is o connec sudens o college success and
More informationOn the degrees of irreducible factors of higher order Bernoulli polynomials
ACTA ARITHMETICA LXII.4 (1992 On he degrees of irreducible facors of higher order Bernoulli polynomials by Arnold Adelberg (Grinnell, Ia. 1. Inroducion. In his paper, we generalize he curren resuls on
More informationBlack Scholes Option Pricing with Stochastic Returns on Hedge Portfolio
EJTP 3, No. 3 006 9 8 Elecronic Journal of Theoreical Physics Black Scholes Opion Pricing wih Sochasic Reurns on Hedge Porfolio J. P. Singh and S. Prabakaran Deparmen of Managemen Sudies Indian Insiue
More informationARCH 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 informationStochastic Calculus and Option Pricing
Sochasic Calculus and Opion Pricing Leonid Kogan MIT, Sloan 15.450, Fall 2010 c Leonid Kogan ( MIT, Sloan ) Sochasic Calculus 15.450, Fall 2010 1 / 74 Ouline 1 Sochasic Inegral 2 Iô s Lemma 3 Black-Scholes
More informationT ϕ t ds t + ψ t db t,
16 PRICING II: MARTINGALE PRICING 2. Lecure II: Pricing European Derivaives 2.1. The fundamenal pricing formula for European derivaives. We coninue working wihin he Black and Scholes model inroduced in
More informationForecasting and Information Sharing in Supply Chains Under Quasi-ARMA Demand
Forecasing and Informaion Sharing in Supply Chains Under Quasi-ARMA Demand Avi Giloni, Clifford Hurvich, Sridhar Seshadri July 9, 2009 Absrac In his paper, we revisi he problem of demand propagaion in
More informationThis paper is a substantially revised version of an earlier work previously circulated as Theory
General Properies of Opion Prices Yaacov Z Bergman 1, Bruce D Grundy 2 and Zvi Wiener 3 Forhcoming: he Journal of Finance Firs Draf: February 1995 Curren Draf: January 1996 1 he School of Business and
More informationDynamic Information. Albina Danilova Department of Mathematical Sciences Carnegie Mellon University. September 16, 2008. Abstract
Sock Marke Insider Trading in Coninuous Time wih Imperfec Dynamic Informaion Albina Danilova Deparmen of Mahemaical Sciences Carnegie Mellon Universiy Sepember 6, 28 Absrac This paper sudies he equilibrium
More informationANALYTIC PROOF OF THE PRIME NUMBER THEOREM
ANALYTIC PROOF OF THE PRIME NUMBER THEOREM RYAN SMITH, YUAN TIAN Conens Arihmeical Funcions Equivalen Forms of he Prime Number Theorem 3 3 The Relaionshi Beween Two Asymoic Relaions 6 4 Dirichle Series
More informationA 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 informationSkewness and Kurtosis Adjusted Black-Scholes Model: A Note on Hedging Performance
Finance Leers, 003, (5), 6- Skewness and Kurosis Adjused Black-Scholes Model: A Noe on Hedging Performance Sami Vähämaa * Universiy of Vaasa, Finland Absrac his aricle invesigaes he dela hedging performance
More informationThe performance of popular stochastic volatility option pricing models during the Subprime crisis
The performance of popular sochasic volailiy opion pricing models during he Subprime crisis Thibau Moyaer 1 Mikael Peijean 2 Absrac We assess he performance of he Heson (1993), Baes (1996), and Heson and
More informationEconomics Honors Exam 2008 Solutions Question 5
Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I
More information4 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 informationHOW CLOSE ARE THE OPTION PRICING FORMULAS OF BACHELIER AND BLACK-MERTON-SCHOLES?
HOW CLOSE ARE THE OPTION PRICING FORMULAS OF BACHELIER AND BLACK-MERTON-SCHOLES? WALTER SCHACHERMAYER AND JOSEF TEICHMANN Absrac. We compare he opion pricing formulas of Louis Bachelier and Black-Meron-Scholes
More informationcooking 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 informationImproper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, 2005. f (x) dx over a finite interval [a, b].
Improper Inegrls Dr. Philippe B. lvl Kennesw Se Universiy Sepember 9, 25 Absrc Noes on improper inegrls. Improper Inegrls. Inroducion In Clculus II, sudens defined he inegrl f (x) over finie inervl [,
More informationConditional Default Probability and Density
Condiional Defaul Probabiliy and Densiy N. El Karoui, M. Jeanblanc, Y. Jiao, B. Zargari Absrac This paper proposes differen mehods o consruc condiional survival processes, i.e, families of maringales decreasing
More informationAn Optimal Selling Strategy for Stock Trading Based on Predicting the Maximum Price
An Opimal Selling Sraegy for Sock Trading Based on Predicing he Maximum Price Jesper Lund Pedersen Universiy of Copenhagen An opimal selling sraegy for sock rading is presened in his paper. An invesor
More informationTime-inhomogeneous Lévy Processes in Cross-Currency Market Models
Time-inhomogeneous Lévy Processes in Cross-Currency Marke Models Disseraion zur Erlangung des Dokorgrades der Mahemaischen Fakulä der Alber-Ludwigs-Universiä Freiburg i. Brsg. vorgeleg von Naaliya Koval
More informationForeign Exchange and Quantos
IEOR E4707: Financial Engineering: Coninuous-Time Models Fall 2010 c 2010 by Marin Haugh Foreign Exchange and Quanos These noes consider foreign exchange markes and he pricing of derivaive securiies in
More informationDependent 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 informationOptimal Time to Sell in Real Estate Portfolio Management
Opimal ime o Sell in Real Esae Porfolio Managemen Fabrice Barhélémy and Jean-Luc Prigen hema, Universiy of Cergy-Ponoise, Cergy-Ponoise, France E-mails: fabricebarhelemy@u-cergyfr; jean-lucprigen@u-cergyfr
More informationPricing Futures and Futures Options with Basis Risk
Pricing uures and uures Opions wih Basis Risk Chou-Wen ang Assisan professor in he Deparmen of inancial Managemen Naional Kaohsiung irs niversiy of cience & Technology Taiwan Ting-Yi Wu PhD candidae in
More informationA DYNAMIC PROGRAMMING APPROACH TO THE PARISI FUNCTIONAL
A DYNAMIC PROGRAMMING APPROACH TO THE PARISI FUNCTIONAL AUKOSH JAGANNATH AND IAN TOBASCO Absrac. G. Parisi prediced an imporan variaional formula for he hermodynamic limi of he inensive free energy for
More informationCHARGE 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 informationLIFE INSURANCE WITH STOCHASTIC INTEREST RATE. L. Noviyanti a, M. Syamsuddin b
LIFE ISURACE WITH STOCHASTIC ITEREST RATE L. oviyani a, M. Syamsuddin b a Deparmen of Saisics, Universias Padjadjaran, Bandung, Indonesia b Deparmen of Mahemaics, Insiu Teknologi Bandung, Indonesia Absrac.
More informationSEMIMARTINGALE STOCHASTIC APPROXIMATION PROCEDURE AND RECURSIVE ESTIMATION. Chavchavadze Ave. 17 a, Tbilisi, Georgia, E-mail: toronj333@yahoo.
SEMIMARTINGALE STOCHASTIC APPROXIMATION PROCEDURE AND RECURSIVE ESTIMATION N. LAZRIEVA, 2, T. SHARIA 3, 2 AND T. TORONJADZE Georgian American Universiy, Business School, 3, Alleyway II, Chavchavadze Ave.
More information12. Market LIBOR Models
12. Marke LIBOR Models As was menioned already, he acronym LIBOR sands for he London Inerbank Offered Rae. I is he rae of ineres offered by banks on deposis from oher banks in eurocurrency markes. Also,
More informationModelling of Forward Libor and Swap Rates
Modelling of Forward Libor and Swap Raes Marek Rukowski Faculy of Mahemaics and Informaion Science Warsaw Universiy of Technology, -661 Warszawa, Poland Conens 1 Inroducion 2 2 Modelling of Forward Libor
More informationPricing Single Name Credit Derivatives
Pricing Single Name Credi Derivaives Vladimir Finkelsein 7h Annual CAP Workshop on Mahemaical Finance Columbia Universiy, New York December 1, 2 Ouline Realiies of he CDS marke Pricing Credi Defaul Swaps
More informationTail Distortion Risk and Its Asymptotic Analysis
Tail Disorion Risk and Is Asympoic Analysis Li Zhu Haijun Li May 2 Revision: March 22 Absrac A disorion risk measure used in finance and insurance is defined as he expeced value of poenial loss under a
More informationarxiv:submit/1578408 [q-fin.pr] 3 Jun 2016
Derivaive pricing for a muli-curve exension of he Gaussian, exponenially quadraic shor rae model Zorana Grbac and Laura Meneghello and Wolfgang J. Runggaldier arxiv:submi/578408 [q-fin.pr] 3 Jun 206 Absrac
More informationCredit 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 informationPROFIT 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 informationA martingale approach applied to the management of life insurances.
A maringale approach applied o he managemen of life insurances. Donaien Hainau Pierre Devolder 19h June 2007 Insiu des sciences acuarielles. Universié Caholique de Louvain UCL. 1348 Louvain-La-Neuve, Belgium.
More informationTime Consisency in Porfolio Managemen
1 Time Consisency in Porfolio Managemen Traian A Pirvu Deparmen of Mahemaics and Saisics McMaser Universiy Torono, June 2010 The alk is based on join work wih Ivar Ekeland Time Consisency in Porfolio Managemen
More information4. 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 informationHow 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 informationA UNIFIED APPROACH TO MATHEMATICAL OPTIMIZATION AND LAGRANGE MULTIPLIER THEORY FOR SCIENTISTS AND ENGINEERS
A UNIFIED APPROACH TO MATHEMATICAL OPTIMIZATION AND LAGRANGE MULTIPLIER THEORY FOR SCIENTISTS AND ENGINEERS RICHARD A. TAPIA Appendix E: Differeniaion in Absrac Spaces I should be no surprise ha he differeniaion
More informationHow To Find Opimal Conracs In A Continuous Time Model
Appl Mah Opim (9) 59: 99 46 DOI.7/s45-8-95- OpimalCompensaionwihHiddenAcion and Lump-Sum Paymen in a Coninuous-Time Model Jakša Cvianić Xuhu Wan Jianfeng Zhang Published online: 6 June 8 Springer Science+Business
More informationDETERMINISTIC INVENTORY MODEL FOR ITEMS WITH TIME VARYING DEMAND, WEIBULL DISTRIBUTION DETERIORATION AND SHORTAGES KUN-SHAN WU
Yugoslav Journal of Operaions Research 2 (22), Number, 6-7 DEERMINISIC INVENORY MODEL FOR IEMS WIH IME VARYING DEMAND, WEIBULL DISRIBUION DEERIORAION AND SHORAGES KUN-SHAN WU Deparmen of Bussines Adminisraion
More informationTWO OPTIMAL CONTROL PROBLEMS IN CANCER CHEMOTHERAPY WITH DRUG RESISTANCE
Annals of he Academy of Romanian Scieniss Series on Mahemaics and is Applicaions ISSN 266-6594 Volume 3, Number 2 / 211 TWO OPTIMAL CONTROL PROBLEMS IN CANCER CHEMOTHERAPY WITH DRUG RESISTANCE Werner Krabs
More informationChapter 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 information17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides
7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion
More informationA MARTINGALE APPROACH APPLIED TO THE MANAGEMENT OF LIFE INSURANCES.
A MARTINGALE APPROACH APPLIED TO THE MANAGEMENT OF LIFE INSURANCES. DONATIEN HAINAUT, PIERRE DEVOLDER. Universié Caholique de Louvain. Insiue of acuarial sciences. Rue des Wallons, 6 B-1348, Louvain-La-Neuve
More informationThe Generalized Extreme Value (GEV) Distribution, Implied Tail Index and Option Pricing
he Generalized Exreme Value (GEV) Disribuion, Implied ail Index and Opion Pricing Sheri Markose and Amadeo Alenorn his version: 6 December 200 Forhcoming Spring 20 in he Journal of Derivaives Absrac Crisis
More informationStochastic Volatility Models: Considerations for the Lay Actuary 1. Abstract
Sochasic Volailiy Models: Consideraions for he Lay Acuary 1 Phil Jouber Coomaren Vencaasawmy (Presened o he Finance & Invesmen Conference, 19-1 June 005) Absrac Sochasic models for asse prices processes
More informationLongevity 11 Lyon 7-9 September 2015
Longeviy 11 Lyon 7-9 Sepember 2015 RISK SHARING IN LIFE INSURANCE AND PENSIONS wihin and across generaions Ragnar Norberg ISFA Universié Lyon 1/London School of Economics Email: ragnar.norberg@univ-lyon1.fr
More informationTerm Structure of Commodities Futures. Forecasting and Pricing.
erm Srucure of Commodiies Fuures. Forecasing and Pricing. Marcos Escobar, Nicolás Hernández, Luis Seco RiskLab, Universiy of orono Absrac he developmen of risk managemen mehodologies for non-gaussian markes
More informationDistance to default. Credit derivatives provide synthetic protection against bond and loan ( ( )) ( ) Strap? l Cutting edge
Srap? l Cuing edge Disance o defaul Marco Avellaneda and Jingyi Zhu Credi derivaives provide synheic proecion agains bond and loan defauls. A simple example of a credi derivaive is he credi defaul swap,
More informationDifferential Equations in Finance and Life Insurance
Differenial Equaions in Finance and Life Insurance Mogens Seffensen 1 Inroducion The mahemaics of finance and he mahemaics of life insurance were always inersecing. Life insurance conracs specify an exchange
More informationJump-Diffusion Option Valuation Without a Representative Investor: a Stochastic Dominance Approach
ump-diffusion Opion Valuaion Wihou a Represenaive Invesor: a Sochasic Doance Approach By Ioan Mihai Oancea and Sylianos Perrakis This version February 00 Naional Bank of Canada, 30 King Sree Wes, Torono,
More information