Pricing Dual Spread Options by the Lie-Trotter Operator Splitting Method
|
|
|
- Howard Long
- 10 years ago
- Views:
Transcription
1 Pricing Dual Spread Options by the Lie-Trotter Operator Splitting Method C.F. Lo Abstract In this paper, based upon the Lie- Trotter operator splitting method proposed by Lo 04, we present a simple closed-form approximation for pricing the three-asset dual spread options. Illustrative numerical examples show that the proposed approximation is not only extremely fast and robust, but also it is very accurate for typical volatilities and maturities up to two years. Moreover, for the case of a vanishing strike the proposed approximation Keywords: Spread options; Kirk s approximation; Lie-Trotter operator splitting method I. INTRODUCTION A spread option is an option whose payoff is linked to the price difference of two underlying assets and forms the simplest type of multi-asset options. Spread options are very popular in interest rate markets, currency and foreign exchange markets, commodity markets, and energy markets nowadays.[] Unlike pricing single-asset options, pricing spread options is a very challenging task. The major diffi culty stems from the lack of knowledge about the distribution of the spread of two correlated lognormal random variables. The simplest approach is to evaluate the expectation of the final payoff over the joint probability distribution of the two correlated lognormal underlyings by means of numerical integration. However, practitioners often prefer to use analytical approximations rather than numerical methods because of their computational ease. Among various analytical approximations, Kirk s approximation seems to be the most popular and is the current market standard, especially in the energy markets.[] It Author for correspondence. Institute of Theoretical Physics and Department of Physics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong [email protected] is well known that Kirk s approximation extends from Margrabe s exchange option formula with no rigorous derivation.[3] Recently, Lo 03 applied the idea of WKB method to provide a derivation of Kirk s approximation and discuss its validity.[4] Nevertheless, it is not straightforward to apply Lo s approach either to provide a generalization of Kirk s approximation for the multi-asset case or to improve Kirk s approximation while retaining its favourable features. In order to overcome these shortcomings, Lo 04 subsequently presented a simple unified approach,[5,6] namely the Lie-Trotter operator splitting method,[7-] not only to rigorously derive Kirk s approximation but also to obtain a generalization for the case of multi-asset spread option in a straightforward manner. The derived price formula for the multiasset spread option bears a striking resemblance to Kirk s approximation in the two-asset case. Illustrative numerical examples have demonstrated that the multi-asset generalization retains all the favourable features of Kirk s approximation. More importantly, the proposed approach is able to provide a new perspective on Kirk s approximation and the generalization; that is, they are simply equivalent to the Lie-Trotter operator splitting approximation to the Black-Scholes equation. It is the aim of this communication to apply the Lie-Trotter operator splitting method proposed by Lo 04 to derive a closed-form approximate price formula for the three-asset dual spread options,[5,6] whose final payoff has the form max S S 3 K, S S 3 K, 0 with S i being the price of the asset i and K being the strike price. The final payoff is a generalisation of the case of a standard three-asset spread option and closely resembles the payoff of a European best of two option.[3] The derived approximate price formula bears a great resemblance to that of a European best of two option as well. Illustrative numerical examples are also Advance online publication: 8 November 04
2 shown to demonstrate both the accuracy and effi - ciency of the proposed approximation. Furthermore, it should be noted that for K = 0 the proposed approximation II. PRICING DUAL SPREAD OPTIONS BY LIE-TROTTER SPLITTING APPROXIMATION To price a European three-asset dual call spread option, we need to solve the three-dimensional Black- Scholes equation 3 ρ P F, F, F 3, τ ijσ i σ j F i F j F i F j i,j= = P F, F, F 3, τ τ subject to the final payoff condition P F, F, F 3, 0 = max F F 3 K, F F 3 K, 0, F i is the future price of the underlying asset i with the volatility σ i, ρ ij is the correlation between the assets i and j, K is the strike price, and τ is the time-to-maturity. Main result: The price of the dual call spread option can be approximated by P F, F, F 3, τ e rτ [F N Λ N Λ, Λ, Γ } F 3 K N Λ σ, Λ3, Γ F N Λ4 N Λ4, Λ, Γ } F 3 K N Λ4 σ, Λ3, Γ ]. 3 Λ = ln F / [F 3 K] σ τ σ Λ = ln F /F τ Λ 3 = ln F /F σ σ τ Λ 4 = ln F / [F 3 K] σ τ σ Γ = ρ σ σ Γ = ρ σ σ = σ ρ σ σ σ σ = σ ρ 3σ σ 3 σ 3 σ = σ ρ 3σ σ 3 σ 3 F3 σ 3 = σ 3 F 3 K ρ = ρ σ σ ρ 3 σ ρ 3 σ σ 3 σ 3 σ σ 4 and N is the cumulative bivariate normal distribution function. Derivation: In terms of the new variables R = F F 3 K, R = F F 3 K, R 3 = F 3 K 5 we can express Eq. as ˆL0 ˆL ˆL r} P R, R, R 3, τ = P R, R, R 3, τ τ ˆL 0 = σ R R, 6 σ R R ρ σ σ R R R R ˆL = ρ 3 σ σ 3 σ 3 R R 3 R R 3 ρ 3 σ σ 3 σ 3 R R σ 3R3 R3 ˆL = ρ 3 σ σ 3 σ 3 R R 3 R R 3 ρ 3 σ σ 3 σ 3 R R σ 3R 3 R 3 The final payoff condition now becomes. 7 P R, R, R 3, 0 = R 3 max R, R, 0. 8 It is obvious that Eq.6 has the formal solution P R, R, R 3, τ = e rτ exp τ ˆL0 ˆL ˆL } R 3 max R, R, 0. 9 Then, applying the Lie-Trotter operator splitting method to Eq.9 yields an approximate solution,[7,8] Advance online publication: 8 November 04
3 namely see the Appendix P LT R, R, R 3, τ = e rτ exp τ ˆL } 0 exp τ ˆL ˆL } R 3 max R, R, 0 = e rτ R 3 exp τ ˆL } 0 max R, R, 0 e rτ R 3 C R, R, τ. 0 Here C R, R, τ satisfies the partial differential equation = C R, R, τ τ σ R R ρ σ σ R R R R σ R } r C R, R, τ R with the initial condition: C R, R, τ = 0 = max R, R, 0. Since σ, σ and ρ are independent of R and R, we have a problem of pricing a European best-of-two option.[3] The desired solution of Eq. is simply given by C R, R, τ = e rτ dx 0 dx 0 f x, x, τ; x 0, x 0 max e x0, e x0, 0 x0 = e rτ dx 0 dx 0 f x, x, τ; x 0, x 0 0 e x0 x0 e rτ dx 0 dx 0 f x, x, τ; x 0, x 0 0 e x0 x 0 = ln R 0, x 0 = ln R 0, x = ln R, x = ln R, and = f x, x, τ; x 0, x 0 π σ σ τ ρ exp σ τ ρ ρ σ σ τ ρ x 0 x σ τ σ τ ρ x 0 x σ τ x 0 x σ τ x 0 x } σ τ. 3 After carrying out the integrals in Eq., the solution can be determined in closed form as follows: C R, R, τ = e rτ [R N Λ N Λ, Λ, Γ } N Λ σ, Λ3, Γ R N Λ4 N Λ4, Λ, Γ } N Λ4 σ, Λ3, Γ ]. 4 As a result, the approximate solution P LT R, R, R 3, τ = R 3 C R, R, τ yields the approximate price formula given in Eq.3. In terms of the spot asset prices, namely S i F i exp rτ, the price formula given in Eq.3 has the form P Kirk S, S, S 3, τ = S N d N d, q, Γ } S3 Ke rτ N d, p, Γ S N h N h, q, Γ } S 3 Ke rτ N h, p, Γ 5 d = ln S / [S 3 Ke rτ ] σ τ σ d = d σ h = ln S / [S 3 Ke rτ ] σ τ σ h = h σ τ p = ln S /S σ σ τ q = ln S /S τ. 6 It should be noted that the Lie-Trotter operator splitting approximation is particularly applicable for those dual spread options with short maturities, i.e. σ τ and σ τ. Furthermore, for K = 0, the operators ˆL 0, ˆL and ˆL commute so that the Lie-Trotter splitting approximation III. ILLUSTRATIVE NUMERICAL EXAMPLES In this section illustrative numerical examples are presented to demonstrate the accuracy of the proposed approximation for the dual spread options. We examine a simple dual spread option with the final payoff max S S 3 K, S S 3 K, 0. Table I tabulates the approximate option prices for different values of the strike price K and time-to-maturity Advance online publication: 8 November 04
4 T. Other input model parameters are set as follows: r = 0.05, σ = σ = σ 3 = 0.3, ρ = 0., ρ 3 = 0.4, ρ 3 = 0.8, S = 50, S = 60 and S 3 = 50. Monte Carlo estimates and the corresponding standard deviations are also presented for comparison. It is observed that the computed errors of the approximate option prices are capped at 0.% in magnitude. In fact, most of them are less than 0.%. Then, in Table II the effect of increasing the three volatilities from 0.3 to 0.6 upon the approximate estimation of the option prices is investigated. Obviously only a small increase occurs in the computed errors, and these errors are still less than 0.7% in magnitude. Table I: Prices of a European dual call spread option. Other input parameters are: r = 0.05, σ = σ = σ 3 = 0.3, ρ = 0., ρ 3 = 0.4, ρ 3 = 0.8, S = 50, S = 60 and S 3 = 50. Here LT refers to the proposed approximation based upon the Lie-Trotter operator splitting method while MC denotes the Monte Carlo estimates with 900, 000, 000 replications. The relative errors of the LT option prices with respect to the MC estimates are also presented. K\T LT 0.0% 0.0% 0.0% 0.0% error MC σ M C LT 0.0% 0.0% 0.0% 0.0% error MC σ M C LT 0.0% 0.0% 0.0% 0.% error MC σ M C LT 0.0% 0.0% 0.0% 0.% error MC σ M C LT 0.0% 0.0% 0.% 0.% error MC σ M C Finally, we study a case in which all the three volatilities are different, namely σ = 0.3, σ = 0.4 and σ 3 = 0.5, while the other parameters remain the same. According to Table III, the computed errors are generally reduced a little bit in this case and they do not exceed 0.4% in magnitude. Moreover, since the approximate option price formula is given in closed form, its evaluation is instantaneous. As a result, it can be concluded that the proposed closedform approximation for the dual spread options are found to be very accurate and effi cient. IV. CONCLUSION In this paper, based upon the Lie-Trotter operator splitting method proposed by Lo 04,[5,6] we have presented a simple closed-form approximation for pricing the three-asset dual spread options. The derived price formula bears a close resemblance to that of a European best of two option. As demonstrated by illustrative numerical examples for the dual spread options, the proposed approximation is not only extremely fast and robust, but also it is very accurate for typical volatilities and maturities of up to two years. Moreover, for the case of a vanishing strike, i.e. K = 0, the proposed approximation Table II: Prices of a European dual call spread option. Other input parameters are: r = 0.05, σ = σ = σ 3 = 0.6, ρ = 0., ρ 3 = 0.4, ρ 3 = 0.8, S = 50, S = 60 and S 3 = 50. Here LT refers to the proposed approximation based upon the Lie-Trotter operator splitting method while MC denotes the Monte Carlo estimates with 900, 000, 000 replications. The relative errors of the LT option prices with respect to the MC estimates are also presented. K\T LT 0.0% 0.0% 0.% 0.3% error MC σ M C LT 0.0% 0.0% 0.% 0.4% error MC σ M C LT 0.0% 0.% 0.% 0.5% error MC σ M C LT 0.0% 0.% 0.3% 0.6% error MC σ M C LT 0.% 0.% 0.5% 0.7% error MC σ M C Advance online publication: 8 November 04
5 Table III: Prices of a European dual call spread option. Other input parameters are: r = 0.05, σ = 0.3, σ = 0.4, σ 3 = 0.5, ρ = 0., ρ 3 = 0.4, ρ 3 = 0.8, S = 50, S = 60 and S 3 = 50. Here LT refers to the proposed approximation based upon the Lie-Trotter operator splitting method while MC denotes the Monte Carlo estimates with 900, 000, 000 replications. The relative errors of the LT option prices with respect to the MC estimates are also presented. K\T LT 0.0% 0.0% 0.0% 0.% error MC σ M C LT 0.0% 0.0% 0.0% 0.% error MC σ M C LT 0.0% 0.0% 0.0% 0.% error MC σ M C LT 0.0% 0.0% 0.0% 0.3% error MC σ M C LT 0.0% 0.0% 0.% 0.4% error MC σ M C APPENDIX: Suppose that one needs to exponentiate an operator Ĉ which can be split into two different parts, namely  and ˆB. For simplicity, let us assume that Ĉ =  ˆB, the exponential operator exp Ĉ is diffi cult to evaluate but exp  and exp ˆB are either solvable or easy to deal with. Under such circumstances the exponential operator exp εĉ, with ε being a small parameter, can be approximated by the Lie-Trotter operator splitting formula:[7-] exp εĉ = exp εâ exp ε ˆB O ε. A. The Lie-Trotter splitting approximation is particularly useful for studying the short-time behaviour of the solutions of evolutionary partial differential equations of parabolic type because for this class of problems it is sensible to split the spatial differential operator into several parts each of which corresponds to a different physical contribution e.g., reaction and diffusion. REFERENCES: [] Carmona, R. and Durrleman, V., Pricing and hedging spread options, SIAM Review, vol.45, no.4, pp [] Kirk, E., Correlation in the Energy Markets in Managing Energy Price Risk 995. [3] Margrabe, W., The value of an option to exchange one asset for another, Journal of Finance, vol.33, pp [4] Lo, C.F., A simple derivation of Kirk s approximation for spread options, Applied Mathematics Letters, vol.6, no.8, pp [5] Lo, C.F., A simple generalisation of Kirk s approximation for multi-asset spread options by the Lie- Trotter operator splitting sethod, Journal of Mathematical Finance, vol.4, no.3, pp [6] Lo, C.F., Valuing multi-asset spread options by the Lie-Trotter operator splitting method, Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering 04-4 July, 04, London, U.K., pp [7] Trotter, H.F., On the Product of Semi-Groups of Operators, Proceedings of the American Math. Society, vol.0, no.4, pp [8] Trotter, H.F., Approximation of semi-groups of operators, Pacific J. Math., vol.8, pp [9] Suzuki, M., Decomposition formulas of exponential operators and Lie exponentials with some applications to quantum mechanics and statistical physics, J. Math. Phys., vol.6, no.4, pp [0] Drozdov, A.N. and Brey, J.J., Operator expansions in stochastic dynamics, Phy. Rev. E, vol.57, no., pp [] Hatano, N. and Suzuki, M., Finding exponential product formulas of higher orders, Lect. Notes Phys., vol.679, pp [] Blanes, S., Casas, F., Chartier, P. and Murua, A., Optimized higher-order splitting methods for some classes of parabolic equations, Mathematics of Computation, vol.8, no.83, pp [3] Bhansali, V., Pricing and Managing Exotic and Hybrid Options McGraw-Hill, 998. Advance online publication: 8 November 04
Valuing double barrier options with time-dependent parameters by Fourier series expansion
IAENG International Journal of Applied Mathematics, 36:1, IJAM_36_1_1 Valuing double barrier options with time-dependent parameters by Fourier series ansion C.F. Lo Institute of Theoretical Physics and
New Pricing Formula for Arithmetic Asian Options. Using PDE Approach
Applied Mathematical Sciences, Vol. 5, 0, no. 77, 380-3809 New Pricing Formula for Arithmetic Asian Options Using PDE Approach Zieneb Ali Elshegmani, Rokiah Rozita Ahmad and 3 Roza Hazli Zakaria, School
Jung-Soon Hyun and Young-Hee Kim
J. Korean Math. Soc. 43 (2006), No. 4, pp. 845 858 TWO APPROACHES FOR STOCHASTIC INTEREST RATE OPTION MODEL Jung-Soon Hyun and Young-Hee Kim Abstract. We present two approaches of the stochastic interest
Rolf Poulsen, Centre for Finance, University of Gothenburg, Box 640, SE-40530 Gothenburg, Sweden. E-mail: [email protected].
The Margrabe Formula Rolf Poulsen, Centre for Finance, University of Gothenburg, Box 640, SE-40530 Gothenburg, Sweden. E-mail: [email protected] Abstract The Margrabe formula for valuation of
Closed form spread option valuation
Closed form spread option aluation Petter Bjerksund and Gunnar Stensland Department of Finance, NHH Helleeien 30, N-5045 Bergen, Norway e-mail: [email protected] Phone: +47 55 959548, Fax: +47 55
BINOMIAL OPTIONS PRICING MODEL. Mark Ioffe. Abstract
BINOMIAL OPTIONS PRICING MODEL Mark Ioffe Abstract Binomial option pricing model is a widespread numerical method of calculating price of American options. In terms of applied mathematics this is simple
Master of Mathematical Finance: Course Descriptions
Master of Mathematical Finance: Course Descriptions CS 522 Data Mining Computer Science This course provides continued exploration of data mining algorithms. More sophisticated algorithms such as support
MULTIPLE DEFAULTS AND MERTON'S MODEL L. CATHCART, L. EL-JAHEL
ISSN 1744-6783 MULTIPLE DEFAULTS AND MERTON'S MODEL L. CATHCART, L. EL-JAHEL Tanaka Business School Discussion Papers: TBS/DP04/12 London: Tanaka Business School, 2004 Multiple Defaults and Merton s Model
Lecture 4: The Black-Scholes model
OPTIONS and FUTURES Lecture 4: The Black-Scholes model Philip H. Dybvig Washington University in Saint Louis Black-Scholes option pricing model Lognormal price process Call price Put price Using Black-Scholes
Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem
Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem Gagan Deep Singh Assistant Vice President Genpact Smart Decision Services Financial
On Black-Scholes Equation, Black- Scholes Formula and Binary Option Price
On Black-Scholes Equation, Black- Scholes Formula and Binary Option Price Abstract: Chi Gao 12/15/2013 I. Black-Scholes Equation is derived using two methods: (1) risk-neutral measure; (2) - hedge. II.
Monte Carlo Methods in Finance
Author: Yiyang Yang Advisor: Pr. Xiaolin Li, Pr. Zari Rachev Department of Applied Mathematics and Statistics State University of New York at Stony Brook October 2, 2012 Outline Introduction 1 Introduction
Lecture 12: The Black-Scholes Model Steven Skiena. http://www.cs.sunysb.edu/ skiena
Lecture 12: The Black-Scholes Model Steven Skiena Department of Computer Science State University of New York Stony Brook, NY 11794 4400 http://www.cs.sunysb.edu/ skiena The Black-Scholes-Merton Model
Valuation of Razorback Executive Stock Options: A Simulation Approach
Valuation of Razorback Executive Stock Options: A Simulation Approach Joe Cheung Charles J. Corrado Department of Accounting & Finance The University of Auckland Private Bag 92019 Auckland, New Zealand.
第 9 讲 : 股 票 期 权 定 价 : B-S 模 型 Valuing Stock Options: The Black-Scholes Model
1 第 9 讲 : 股 票 期 权 定 价 : B-S 模 型 Valuing Stock Options: The Black-Scholes Model Outline 有 关 股 价 的 假 设 The B-S Model 隐 性 波 动 性 Implied Volatility 红 利 与 期 权 定 价 Dividends and Option Pricing 美 式 期 权 定 价 American
Simple formulas to option pricing and hedging in the Black Scholes model
Simple formulas to option pricing and hedging in the Black Scholes model Paolo Pianca Department of Applied Mathematics University Ca Foscari of Venice Dorsoduro 385/E, 3013 Venice, Italy [email protected]
1 The Black-Scholes model: extensions and hedging
1 The Black-Scholes model: extensions and hedging 1.1 Dividends Since we are now in a continuous time framework the dividend paid out at time t (or t ) is given by dd t = D t D t, where as before D denotes
Pricing Barrier Option Using Finite Difference Method and MonteCarlo Simulation
Pricing Barrier Option Using Finite Difference Method and MonteCarlo Simulation Yoon W. Kwon CIMS 1, Math. Finance Suzanne A. Lewis CIMS, Math. Finance May 9, 000 1 Courant Institue of Mathematical Science,
Hedging Illiquid FX Options: An Empirical Analysis of Alternative Hedging Strategies
Hedging Illiquid FX Options: An Empirical Analysis of Alternative Hedging Strategies Drazen Pesjak Supervised by A.A. Tsvetkov 1, D. Posthuma 2 and S.A. Borovkova 3 MSc. Thesis Finance HONOURS TRACK Quantitative
Likewise, the payoff of the better-of-two note may be decomposed as follows: Price of gold (US$/oz) 375 400 425 450 475 500 525 550 575 600 Oil price
Exchange Options Consider the Double Index Bull (DIB) note, which is suited to investors who believe that two indices will rally over a given term. The note typically pays no coupons and has a redemption
How the Greeks would have hedged correlation risk of foreign exchange options
How the Greeks would have hedged correlation risk of foreign exchange options Uwe Wystup Commerzbank Treasury and Financial Products Neue Mainzer Strasse 32 36 60261 Frankfurt am Main GERMANY [email protected]
PRICING OF GAS SWING OPTIONS. Andrea Pokorná. UNIVERZITA KARLOVA V PRAZE Fakulta sociálních věd Institut ekonomických studií
9 PRICING OF GAS SWING OPTIONS Andrea Pokorná UNIVERZITA KARLOVA V PRAZE Fakulta sociálních věd Institut ekonomických studií 1 Introduction Contracts for the purchase and sale of natural gas providing
CRUDE OIL HEDGING STRATEGIES An Application of Currency Translated Options
CRUDE OIL HEDGING STRATEGIES An Application of Currency Translated Options Paul Obour Supervisor: Dr. Antony Ware University of Calgary PRMIA Luncheon - Bankers Hall, Calgary May 8, 2012 Outline 1 Introductory
Mathematical Finance
Mathematical Finance Option Pricing under the Risk-Neutral Measure Cory Barnes Department of Mathematics University of Washington June 11, 2013 Outline 1 Probability Background 2 Black Scholes for European
Black and Scholes - A Review of Option Pricing Model
CAPM Option Pricing Sven Husmann a, Neda Todorova b a Department of Business Administration, European University Viadrina, Große Scharrnstraße 59, D-15230 Frankfurt (Oder, Germany, Email: [email protected],
Lecture 21 Options Pricing
Lecture 21 Options Pricing Readings BM, chapter 20 Reader, Lecture 21 M. Spiegel and R. Stanton, 2000 1 Outline Last lecture: Examples of options Derivatives and risk (mis)management Replication and Put-call
An Introduction to Exotic Options
An Introduction to Exotic Options Jeff Casey Jeff Casey is entering his final semester of undergraduate studies at Ball State University. He is majoring in Financial Mathematics and has been a math tutor
Black Scholes Merton Approach To Modelling Financial Derivatives Prices Tomas Sinkariovas 0802869. Words: 3441
Black Scholes Merton Approach To Modelling Financial Derivatives Prices Tomas Sinkariovas 0802869 Words: 3441 1 1. Introduction In this paper I present Black, Scholes (1973) and Merton (1973) (BSM) general
Pricing Options with Discrete Dividends by High Order Finite Differences and Grid Stretching
Pricing Options with Discrete Dividends by High Order Finite Differences and Grid Stretching Kees Oosterlee Numerical analysis group, Delft University of Technology Joint work with Coen Leentvaar, Ariel
FORWARDS AND EUROPEAN OPTIONS ON CDO TRANCHES. John Hull and Alan White. First Draft: December, 2006 This Draft: March 2007
FORWARDS AND EUROPEAN OPTIONS ON CDO TRANCHES John Hull and Alan White First Draft: December, 006 This Draft: March 007 Joseph L. Rotman School of Management University of Toronto 105 St George Street
No-arbitrage conditions for cash-settled swaptions
No-arbitrage conditions for cash-settled swaptions Fabio Mercurio Financial Engineering Banca IMI, Milan Abstract In this note, we derive no-arbitrage conditions that must be satisfied by the pricing function
Moreover, under the risk neutral measure, it must be the case that (5) r t = µ t.
LECTURE 7: BLACK SCHOLES THEORY 1. Introduction: The Black Scholes Model In 1973 Fisher Black and Myron Scholes ushered in the modern era of derivative securities with a seminal paper 1 on the pricing
A CLOSED FORM APPROACH TO THE VALUATION AND HEDGING OF BASKET AND SPREAD OPTIONS
A CLOSED FORM APPROACH TO THE VALUATION AND HEDGING OF BASKET AND SPREAD OPTIONS Svetlana Borovkova, Ferry J. Permana and Hans v.d. Weide Key words: basket options, spread options, log-normal approximation,
Valuing equity-based payments
E Valuing equity-based payments Executive remuneration packages generally comprise many components. While it is relatively easy to identify how much will be paid in a base salary a fixed dollar amount
QUANTIZED INTEREST RATE AT THE MONEY FOR AMERICAN OPTIONS
QUANTIZED INTEREST RATE AT THE MONEY FOR AMERICAN OPTIONS L. M. Dieng ( Department of Physics, CUNY/BCC, New York, New York) Abstract: In this work, we expand the idea of Samuelson[3] and Shepp[,5,6] for
Discussions of Monte Carlo Simulation in Option Pricing TIANYI SHI, Y LAURENT LIU PROF. RENATO FERES MATH 350 RESEARCH PAPER
Discussions of Monte Carlo Simulation in Option Pricing TIANYI SHI, Y LAURENT LIU PROF. RENATO FERES MATH 350 RESEARCH PAPER INTRODUCTION Having been exposed to a variety of applications of Monte Carlo
General price bounds for discrete and continuous arithmetic Asian options
General price bounds for discrete and continuous arithmetic Asian options 1 [email protected] in collaboration with Gianluca Fusai 1,2 [email protected] 1 Cass Business School, City
INTEREST RATES AND FX MODELS
INTEREST RATES AND FX MODELS 4. Convexity and CMS Andrew Lesniewski Courant Institute of Mathematical Sciences New York University New York February 20, 2013 2 Interest Rates & FX Models Contents 1 Introduction
Asian Option Pricing Formula for Uncertain Financial Market
Sun and Chen Journal of Uncertainty Analysis and Applications (215) 3:11 DOI 1.1186/s4467-15-35-7 RESEARCH Open Access Asian Option Pricing Formula for Uncertain Financial Market Jiajun Sun 1 and Xiaowei
EC3070 FINANCIAL DERIVATIVES
BINOMIAL OPTION PRICING MODEL A One-Step Binomial Model The Binomial Option Pricing Model is a simple device that is used for determining the price c τ 0 that should be attributed initially to a call option
Pricing multi-asset options and credit derivatives with copulas
Pricing multi-asset options and credit derivatives with copulas Séminaire de Mathématiques et Finance Louis Bachelier, Institut Henri Poincaré Thierry Roncalli Groupe de Recherche Opérationnelle Crédit
Call Price as a Function of the Stock Price
Call Price as a Function of the Stock Price Intuitively, the call price should be an increasing function of the stock price. This relationship allows one to develop a theory of option pricing, derived
Some remarks on two-asset options pricing and stochastic dependence of asset prices
Some remarks on two-asset options pricing and stochastic dependence of asset prices G. Rapuch & T. Roncalli Groupe de Recherche Opérationnelle, Crédit Lyonnais, France July 16, 001 Abstract In this short
A Vega-Gamma Relationship for European-Style or Barrier Options in the Black-Scholes Model
A Vega-Gamma Relationship for European-Style or Barrier Options in the Black-Scholes Model Fabio Mercurio Financial Models, Banca IMI Abstract In this document we derive some fundamental relationships
Lecture 6 Black-Scholes PDE
Lecture 6 Black-Scholes PDE Lecture Notes by Andrzej Palczewski Computational Finance p. 1 Pricing function Let the dynamics of underlining S t be given in the risk-neutral measure Q by If the contingent
American and European. Put Option
American and European Put Option Analytical Finance I Kinda Sumlaji 1 Table of Contents: 1. Introduction... 3 2. Option Style... 4 3. Put Option 4 3.1 Definition 4 3.2 Payoff at Maturity... 4 3.3 Example
TABLE OF CONTENTS. A. Put-Call Parity 1 B. Comparing Options with Respect to Style, Maturity, and Strike 13
TABLE OF CONTENTS 1. McDonald 9: "Parity and Other Option Relationships" A. Put-Call Parity 1 B. Comparing Options with Respect to Style, Maturity, and Strike 13 2. McDonald 10: "Binomial Option Pricing:
Invesco Great Wall Fund Management Co. Shenzhen: June 14, 2008
: A Stern School of Business New York University Invesco Great Wall Fund Management Co. Shenzhen: June 14, 2008 Outline 1 2 3 4 5 6 se notes review the principles underlying option pricing and some of
Analytic Approximations for Multi-Asset Option Pricing
Analytic Approximations for Multi-Asset Option Pricing Carol Alexander ICMA Centre, University of Reading Aanand Venkatramanan ICMA Centre, University of Reading First Version: March 2008 This Version:
Generating Random Numbers Variance Reduction Quasi-Monte Carlo. Simulation Methods. Leonid Kogan. MIT, Sloan. 15.450, Fall 2010
Simulation Methods Leonid Kogan MIT, Sloan 15.450, Fall 2010 c Leonid Kogan ( MIT, Sloan ) Simulation Methods 15.450, Fall 2010 1 / 35 Outline 1 Generating Random Numbers 2 Variance Reduction 3 Quasi-Monte
How project duration, upfront costs and uncertainty interact and impact on software development productivity? A simulation approach
Int. J. Agile Systems and Management, Vol. 8, No. 1, 2015 39 How project duration, upfront costs and uncertainty interact and impact on software development productivity? A simulation approach Li Liu Faculty
Black-Scholes Equation for Option Pricing
Black-Scholes Equation for Option Pricing By Ivan Karmazin, Jiacong Li 1. Introduction In early 1970s, Black, Scholes and Merton achieved a major breakthrough in pricing of European stock options and there
DETERMINING THE VALUE OF EMPLOYEE STOCK OPTIONS. Report Produced for the Ontario Teachers Pension Plan John Hull and Alan White August 2002
DETERMINING THE VALUE OF EMPLOYEE STOCK OPTIONS 1. Background Report Produced for the Ontario Teachers Pension Plan John Hull and Alan White August 2002 It is now becoming increasingly accepted that companies
STCE. Fast Delta-Estimates for American Options by Adjoint Algorithmic Differentiation
Fast Delta-Estimates for American Options by Adjoint Algorithmic Differentiation Jens Deussen Software and Tools for Computational Engineering RWTH Aachen University 18 th European Workshop on Automatic
Bond Options, Caps and the Black Model
Bond Options, Caps and the Black Model Black formula Recall the Black formula for pricing options on futures: C(F, K, σ, r, T, r) = Fe rt N(d 1 ) Ke rt N(d 2 ) where d 1 = 1 [ σ ln( F T K ) + 1 ] 2 σ2
Valuation of Asian Options
Valuation of Asian Options - with Levy Approximation Master thesis in Economics Jan 2014 Author: Aleksandra Mraovic, Qian Zhang Supervisor: Frederik Lundtofte Department of Economics Abstract Asian options
Using simulation to calculate the NPV of a project
Using simulation to calculate the NPV of a project Marius Holtan Onward Inc. 5/31/2002 Monte Carlo simulation is fast becoming the technology of choice for evaluating and analyzing assets, be it pure financial
OPTIONS, FUTURES, & OTHER DERIVATI
Fifth Edition OPTIONS, FUTURES, & OTHER DERIVATI John C. Hull Maple Financial Group Professor of Derivatives and Risk Manage, Director, Bonham Center for Finance Joseph L. Rotinan School of Management
Pricing European and American bond option under the Hull White extended Vasicek model
1 Academic Journal of Computational and Applied Mathematics /August 2013/ UISA Pricing European and American bond option under the Hull White extended Vasicek model Eva Maria Rapoo 1, Mukendi Mpanda 2
Option Pricing Beyond Black-Scholes Dan O Rourke
Option Pricing Beyond Black-Scholes Dan O Rourke January 2005 1 Black-Scholes Formula (Historical Context) Produced a usable model where all inputs were easily observed Coincided with the introduction
Article from: Risk Management. June 2009 Issue 16
Article from: Risk Management June 2009 Issue 16 CHAIRSPERSON S Risk quantification CORNER Structural Credit Risk Modeling: Merton and Beyond By Yu Wang The past two years have seen global financial markets
CS 522 Computational Tools and Methods in Finance Robert Jarrow Lecture 1: Equity Options
CS 5 Computational Tools and Methods in Finance Robert Jarrow Lecture 1: Equity Options 1. Definitions Equity. The common stock of a corporation. Traded on organized exchanges (NYSE, AMEX, NASDAQ). A common
A SNOWBALL CURRENCY OPTION
J. KSIAM Vol.15, No.1, 31 41, 011 A SNOWBALL CURRENCY OPTION GYOOCHEOL SHIM 1 1 GRADUATE DEPARTMENT OF FINANCIAL ENGINEERING, AJOU UNIVERSITY, SOUTH KOREA E-mail address: [email protected] ABSTRACT. I introduce
Derivatives: Principles and Practice
Derivatives: Principles and Practice Rangarajan K. Sundaram Stern School of Business New York University New York, NY 10012 Sanjiv R. Das Leavey School of Business Santa Clara University Santa Clara, CA
Vanna-Volga Method for Foreign Exchange Implied Volatility Smile. Copyright Changwei Xiong 2011. January 2011. last update: Nov 27, 2013
Vanna-Volga Method for Foreign Exchange Implied Volatility Smile Copyright Changwei Xiong 011 January 011 last update: Nov 7, 01 TABLE OF CONTENTS TABLE OF CONTENTS...1 1. Trading Strategies of Vanilla
FINANCIAL ECONOMICS OPTION PRICING
OPTION PRICING Options are contingency contracts that specify payoffs if stock prices reach specified levels. A call option is the right to buy a stock at a specified price, X, called the strike price.
Chapter 11 Options. Main Issues. Introduction to Options. Use of Options. Properties of Option Prices. Valuation Models of Options.
Chapter 11 Options Road Map Part A Introduction to finance. Part B Valuation of assets, given discount rates. Part C Determination of risk-adjusted discount rate. Part D Introduction to derivatives. Forwards
Call and Put. Options. American and European Options. Option Terminology. Payoffs of European Options. Different Types of Options
Call and Put Options A call option gives its holder the right to purchase an asset for a specified price, called the strike price, on or before some specified expiration date. A put option gives its holder
Numerical Methods for Option Pricing
Chapter 9 Numerical Methods for Option Pricing Equation (8.26) provides a way to evaluate option prices. For some simple options, such as the European call and put options, one can integrate (8.26) directly
24. Pricing Fixed Income Derivatives. through Black s Formula. MA6622, Ernesto Mordecki, CityU, HK, 2006. References for this Lecture:
24. Pricing Fixed Income Derivatives through Black s Formula MA6622, Ernesto Mordecki, CityU, HK, 2006. References for this Lecture: John C. Hull, Options, Futures & other Derivatives (Fourth Edition),
OPTIONS and FUTURES Lecture 2: Binomial Option Pricing and Call Options
OPTIONS and FUTURES Lecture 2: Binomial Option Pricing and Call Options Philip H. Dybvig Washington University in Saint Louis binomial model replicating portfolio single period artificial (risk-neutral)
OPTION PRICING WITH PADÉ APPROXIMATIONS
C om m unfacsciu niva nkseries A 1 Volum e 61, N um b er, Pages 45 50 (01) ISSN 1303 5991 OPTION PRICING WITH PADÉ APPROXIMATIONS CANAN KÖROĞLU A In this paper, Padé approximations are applied Black-Scholes
Caput Derivatives: October 30, 2003
Caput Derivatives: October 30, 2003 Exam + Answers Total time: 2 hours and 30 minutes. Note 1: You are allowed to use books, course notes, and a calculator. Question 1. [20 points] Consider an investor
Practical Calculation of Expected and Unexpected Losses in Operational Risk by Simulation Methods
Practical Calculation of Expected and Unexpected Losses in Operational Risk by Simulation Methods Enrique Navarrete 1 Abstract: This paper surveys the main difficulties involved with the quantitative measurement
A Genetic Algorithm to Price an European Put Option Using the Geometric Mean Reverting Model
Applied Mathematical Sciences, vol 8, 14, no 143, 715-7135 HIKARI Ltd, wwwm-hikaricom http://dxdoiorg/11988/ams144644 A Genetic Algorithm to Price an European Put Option Using the Geometric Mean Reverting
Research on Option Trading Strategies
Research on Option Trading Strategies An Interactive Qualifying Project Report: Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE In partial fulfillment of the requirements for the Degree
Pricing of an Exotic Forward Contract
Pricing of an Exotic Forward Contract Jirô Akahori, Yuji Hishida and Maho Nishida Dept. of Mathematical Sciences, Ritsumeikan University 1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan E-mail: {akahori,
Bias in the Estimation of Mean Reversion in Continuous-Time Lévy Processes
Bias in the Estimation of Mean Reversion in Continuous-Time Lévy Processes Yong Bao a, Aman Ullah b, Yun Wang c, and Jun Yu d a Purdue University, IN, USA b University of California, Riverside, CA, USA
Exam MFE Spring 2007 FINAL ANSWER KEY 1 B 2 A 3 C 4 E 5 D 6 C 7 E 8 C 9 A 10 B 11 D 12 A 13 E 14 E 15 C 16 D 17 B 18 A 19 D
Exam MFE Spring 2007 FINAL ANSWER KEY Question # Answer 1 B 2 A 3 C 4 E 5 D 6 C 7 E 8 C 9 A 10 B 11 D 12 A 13 E 14 E 15 C 16 D 17 B 18 A 19 D **BEGINNING OF EXAMINATION** ACTUARIAL MODELS FINANCIAL ECONOMICS
Consider a European call option maturing at time T
Lecture 10: Multi-period Model Options Black-Scholes-Merton model Prof. Markus K. Brunnermeier 1 Binomial Option Pricing Consider a European call option maturing at time T with ihstrike K: C T =max(s T
The Black-Scholes Model
Chapter 4 The Black-Scholes Model 4. Introduction Easily the best known model of option pricing, the Black-Scholes model is also one of the most widely used models in practice. It forms the benchmark model
Chapter 13 The Black-Scholes-Merton Model
Chapter 13 The Black-Scholes-Merton Model March 3, 009 13.1. The Black-Scholes option pricing model assumes that the probability distribution of the stock price in one year(or at any other future time)
Numerical Methods for Pricing Exotic Options
Imperial College London Department of Computing Numerical Methods for Pricing Exotic Options by Hardik Dave - 00517958 Supervised by Dr. Daniel Kuhn Second Marker: Professor Berç Rustem Submitted in partial
ON DETERMINANTS AND SENSITIVITIES OF OPTION PRICES IN DELAYED BLACK-SCHOLES MODEL
ON DETERMINANTS AND SENSITIVITIES OF OPTION PRICES IN DELAYED BLACK-SCHOLES MODEL A. B. M. Shahadat Hossain, Sharif Mozumder ABSTRACT This paper investigates determinant-wise effect of option prices when
Session X: Lecturer: Dr. Jose Olmo. Module: Economics of Financial Markets. MSc. Financial Economics. Department of Economics, City University, London
Session X: Options: Hedging, Insurance and Trading Strategies Lecturer: Dr. Jose Olmo Module: Economics of Financial Markets MSc. Financial Economics Department of Economics, City University, London Option
Hedge Fund Returns: You Can Make Them Yourself!
Hedge Fund Returns: You Can Make Them Yourself! Harry M. Kat * Helder P. Palaro** This version: June 8, 2005 Please address all correspondence to: Harry M. Kat Professor of Risk Management and Director
Hedging Barriers. Liuren Wu. Zicklin School of Business, Baruch College (http://faculty.baruch.cuny.edu/lwu/)
Hedging Barriers Liuren Wu Zicklin School of Business, Baruch College (http://faculty.baruch.cuny.edu/lwu/) Based on joint work with Peter Carr (Bloomberg) Modeling and Hedging Using FX Options, March
Return to Risk Limited website: www.risklimited.com. Overview of Options An Introduction
Return to Risk Limited website: www.risklimited.com Overview of Options An Introduction Options Definition The right, but not the obligation, to enter into a transaction [buy or sell] at a pre-agreed price,
Options, pre-black Scholes
Options, pre-black Scholes Modern finance seems to believe that the option pricing theory starts with the foundation articles of Black, Scholes (973) and Merton (973). This is far from being true. Numerous
ELECTRICITY REAL OPTIONS VALUATION
Vol. 37 (6) ACTA PHYSICA POLONICA B No 11 ELECTRICITY REAL OPTIONS VALUATION Ewa Broszkiewicz-Suwaj Hugo Steinhaus Center, Institute of Mathematics and Computer Science Wrocław University of Technology
Liquidity costs and market impact for derivatives
Liquidity costs and market impact for derivatives F. Abergel, G. Loeper Statistical modeling, financial data analysis and applications, Istituto Veneto di Scienze Lettere ed Arti. Abergel, G. Loeper Statistical
Pricing American Options on Leveraged Exchange. Traded Funds in the Binomial Pricing Model
Pricing American Options on Leveraged Exchange Traded Funds in the Binomial Pricing Model By Diana Holmes Wolf A Project Report Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE In partial
University of Piraeus. M.Sc. in Banking and Finance
University of Piraeus M.Sc. in Banking and Finance Financial Derivatives Course Outline (January 2009) George Skiadopoulos, Ph.D. University of Piraeus, Department of Banking and Financial Management Financial
Open issues in equity derivatives modelling
Open issues in equity derivatives modelling Lorenzo Bergomi Equity Derivatives Quantitative Research ociété Générale [email protected] al Outline Equity derivatives at G A brief history of equity
Fundamentals of Futures and Options (a summary)
Fundamentals of Futures and Options (a summary) Roger G. Clarke, Harindra de Silva, CFA, and Steven Thorley, CFA Published 2013 by the Research Foundation of CFA Institute Summary prepared by Roger G.
