General price bounds for discrete and continuous arithmetic Asian options
|
|
|
- Beverly Holland
- 10 years ago
- Views:
Transcription
1 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 University London 2 Dipartimento SEI, Università del Piemonte Orientale 8th Conference in Actuarial Science & Finance Samos June 01, /12
2 Outline Asian Options Pricing Problem Applications Objectives Literature Review General Lower Bound for Asian Option: Pricing Performance 2/12
3 Pricing problem I Payoff depends on the average price of some underlying asset S monitored over a pre-specified period of time [0,T] Prevalent case of arithmetic average: Discrete average A T := 1 N N+1 j=0 S k Continuous average A T := 1 T T 0 S tdt Time-0 price of option V 0 := e rt E [( A T K S T K ) ] 1 B Event set B := {A T > K S T +K} Fixed strike option: K > 0 and K = 0 Floating strike option: K = 0 and K > 0 Price of put-type option: standard put-call parity 3/12
4 Pricing problem I Payoff depends on the average price of some underlying asset S monitored over a pre-specified period of time [0,T] Prevalent case of arithmetic average: Discrete average A T := 1 N N+1 j=0 S k Continuous average A T := 1 T T 0 S tdt Time-0 price of option V 0 := e rt E [( A T K S T K ) ] 1 B Event set B := {A T > K S T +K} Fixed strike option: K > 0 and K = 0 Floating strike option: K = 0 and K > 0 Price of put-type option: standard put-call parity 3/12
5 Pricing problem II The problem Pricing of arithmetic Asian options (in general, evaluation of expectations of non-linear functions of the arithmetic average) does not admit true analytical solutions, even under the lognormal model, as the distribution law of the arithmetic average is not known analytically 4/12
6 Some applications of Asian options I Raised popularity of arithmetic Asian options among derivatives traders and risk managers: Smooth possible market manipulations Volatility reduction Boosted trading activity in highly volatile markets: NYMEX and ICE: e.g., Brent and WTI crude oil average options LME: traded average options on metals (e.g., copper grade A, high grade primary aluminium, etc.) Freight options in dry bulk market (see Nomikos et al., 2013) Weighted arithmetic averages appear in technical analysis and algorithmic trading (see Zhu and Zhou, 2009) Volume-weighted average price (VWAP): weights given by % trading volumes pertinent to the different transactions (see Novikov and Kordzakhia, 2013) 5/12
7 Some applications of Asian options I Raised popularity of arithmetic Asian options among derivatives traders and risk managers: Smooth possible market manipulations Volatility reduction Boosted trading activity in highly volatile markets: NYMEX and ICE: e.g., Brent and WTI crude oil average options LME: traded average options on metals (e.g., copper grade A, high grade primary aluminium, etc.) Freight options in dry bulk market (see Nomikos et al., 2013) Weighted arithmetic averages appear in technical analysis and algorithmic trading (see Zhu and Zhou, 2009) Volume-weighted average price (VWAP): weights given by % trading volumes pertinent to the different transactions (see Novikov and Kordzakhia, 2013) 5/12
8 Some applications of Asian options I Raised popularity of arithmetic Asian options among derivatives traders and risk managers: Smooth possible market manipulations Volatility reduction Boosted trading activity in highly volatile markets: NYMEX and ICE: e.g., Brent and WTI crude oil average options LME: traded average options on metals (e.g., copper grade A, high grade primary aluminium, etc.) Freight options in dry bulk market (see Nomikos et al., 2013) Weighted arithmetic averages appear in technical analysis and algorithmic trading (see Zhu and Zhou, 2009) Volume-weighted average price (VWAP): weights given by % trading volumes pertinent to the different transactions (see Novikov and Kordzakhia, 2013) 5/12
9 Main contributions I Main objective of this research is to develop a pricing formula, which is simple accurate fast Proposed method can be applied to: Pure jump Lévy models, Merton s normal and Cai and Kou s generalized hyperexponential jump diffusions Affine models with/out jumps in the asset price/stochastic volatility dynamics (e.g., see Heston, 1993, Bates, 1996, Duffie et al., 2000, Carr et al., 2003, Carr and Wu, 2004, Barndorff-Nielsen Shephard model, Stein Stein and Schöbel Zhu model) CEV diffusion 6/12
10 Main contributions I Main objective of this research is to develop a pricing formula, which is simple accurate fast Proposed method can be applied to: Pure jump Lévy models, Merton s normal and Cai and Kou s generalized hyperexponential jump diffusions Affine models with/out jumps in the asset price/stochastic volatility dynamics (e.g., see Heston, 1993, Bates, 1996, Duffie et al., 2000, Carr et al., 2003, Carr and Wu, 2004, Barndorff-Nielsen Shephard model, Stein Stein and Schöbel Zhu model) CEV diffusion 6/12
11 Main contributions I Main objective of this research is to develop a pricing formula, which is simple accurate fast Proposed method can be applied to: Pure jump Lévy models, Merton s normal and Cai and Kou s generalized hyperexponential jump diffusions Affine models with/out jumps in the asset price/stochastic volatility dynamics (e.g., see Heston, 1993, Bates, 1996, Duffie et al., 2000, Carr et al., 2003, Carr and Wu, 2004, Barndorff-Nielsen Shephard model, Stein Stein and Schöbel Zhu model) CEV diffusion 6/12
12 Main contributions I Main objective of this research is to develop a pricing formula, which is simple accurate fast Proposed method can be applied to: Pure jump Lévy models, Merton s normal and Cai and Kou s generalized hyperexponential jump diffusions Affine models with/out jumps in the asset price/stochastic volatility dynamics (e.g., see Heston, 1993, Bates, 1996, Duffie et al., 2000, Carr et al., 2003, Carr and Wu, 2004, Barndorff-Nielsen Shephard model, Stein Stein and Schöbel Zhu model) CEV diffusion 6/12
13 Main contributions II Additional features: Application to fixed strike and floating strike options (symmetry relations not available beyond exponential Lévy models) Application to discrete and continuous averages Extension to option price sensitivities (Greeks) Extension to Australian option: payoff depends on A T /S T (see Ewald et al., 2013) Problem dimension unaffected by additional random volatility factor Theoretical upper bound to error from the price approximation using the lower bound is available and can be calculated numerically 7/12
14 Main contributions II Additional features: Application to fixed strike and floating strike options (symmetry relations not available beyond exponential Lévy models) Application to discrete and continuous averages Extension to option price sensitivities (Greeks) Extension to Australian option: payoff depends on A T /S T (see Ewald et al., 2013) Problem dimension unaffected by additional random volatility factor Theoretical upper bound to error from the price approximation using the lower bound is available and can be calculated numerically 7/12
15 Main contributions II Additional features: Application to fixed strike and floating strike options (symmetry relations not available beyond exponential Lévy models) Application to discrete and continuous averages Extension to option price sensitivities (Greeks) Extension to Australian option: payoff depends on A T /S T (see Ewald et al., 2013) Problem dimension unaffected by additional random volatility factor Theoretical upper bound to error from the price approximation using the lower bound is available and can be calculated numerically 7/12
16 Literature review I Large volume of literature devoted to pricing of Asian options. P(I)DE methods: Rogers and Shi (1995), Večeř (2002), Zhang (2001) (lognormal) Bayraktar and Xing (2011) (jump diffusions) Ewald et al. (2013) (Heston) Laplace/Fourier transform methods: Geman and Yor (1993), Dewynne and Shaw (2008) (lognormal) Cai and Kou (2012) (hyperexponential jump diffusion) Carverhill and Clewlow (1990), Fusai and Meucci (2008), Černý and Kyriakou (2011), Zhang and Oosterlee (2013) (general exponential Lévy) Fusai et al. (2008) (square root) Lower & upper bounds: Curran (1992, 1994), Rogers and Shi (1995), Nielsen and Sandmann (2003), Thompson (1999) (lognormal), Lemmens et al. (2010) (general exponential Lévy) Recent advances on pricing Asian options under the CEV diffusion: Cai, Li, and Shi (2013b), Sesana et al. (2014), Cai, Kou, and Song (2013a) 8/12
17 Literature review I Large volume of literature devoted to pricing of Asian options. P(I)DE methods: Rogers and Shi (1995), Večeř (2002), Zhang (2001) (lognormal) Bayraktar and Xing (2011) (jump diffusions) Ewald et al. (2013) (Heston) Laplace/Fourier transform methods: Geman and Yor (1993), Dewynne and Shaw (2008) (lognormal) Cai and Kou (2012) (hyperexponential jump diffusion) Carverhill and Clewlow (1990), Fusai and Meucci (2008), Černý and Kyriakou (2011), Zhang and Oosterlee (2013) (general exponential Lévy) Fusai et al. (2008) (square root) Lower & upper bounds: Curran (1992, 1994), Rogers and Shi (1995), Nielsen and Sandmann (2003), Thompson (1999) (lognormal), Lemmens et al. (2010) (general exponential Lévy) Recent advances on pricing Asian options under the CEV diffusion: Cai, Li, and Shi (2013b), Sesana et al. (2014), Cai, Kou, and Song (2013a) 8/12
18 Literature review I Large volume of literature devoted to pricing of Asian options. P(I)DE methods: Rogers and Shi (1995), Večeř (2002), Zhang (2001) (lognormal) Bayraktar and Xing (2011) (jump diffusions) Ewald et al. (2013) (Heston) Laplace/Fourier transform methods: Geman and Yor (1993), Dewynne and Shaw (2008) (lognormal) Cai and Kou (2012) (hyperexponential jump diffusion) Carverhill and Clewlow (1990), Fusai and Meucci (2008), Černý and Kyriakou (2011), Zhang and Oosterlee (2013) (general exponential Lévy) Fusai et al. (2008) (square root) Lower & upper bounds: Curran (1992, 1994), Rogers and Shi (1995), Nielsen and Sandmann (2003), Thompson (1999) (lognormal), Lemmens et al. (2010) (general exponential Lévy) Recent advances on pricing Asian options under the CEV diffusion: Cai, Li, and Shi (2013b), Sesana et al. (2014), Cai, Kou, and Song (2013a) 8/12
19 Lower bound for discrete Asian option I Recall B = { A N > K S N +K } Focus on discrete arithmetic Asian call with fixed strike (K > 0 and K = 0) Apply principles set out in Curran (1994) and Rogers and Shi (1995): V 0 = e rt E[(A N K)1 B ] LB 0 := e rt E[(A N K)1 B ] for some event set B Ω A N K in B \ B Choose event set B that is close proxy to the true event set B (ensures tightness of the bound) makes the problem more analytically tractable compared to the original B 9/12
20 Lower bound for discrete Asian option I Recall B = { A N > K S N +K } Focus on discrete arithmetic Asian call with fixed strike (K > 0 and K = 0) Apply principles set out in Curran (1994) and Rogers and Shi (1995): V 0 = e rt E[(A N K)1 B ] LB 0 := e rt E[(A N K)1 B ] for some event set B Ω A N K in B \ B Choose event set B that is close proxy to the true event set B (ensures tightness of the bound) makes the problem more analytically tractable compared to the original B 9/12
21 Lower bound for discrete Asian option I Recall B = { A N > K S N +K } Focus on discrete arithmetic Asian call with fixed strike (K > 0 and K = 0) Apply principles set out in Curran (1994) and Rogers and Shi (1995): V 0 = e rt E[(A N K)1 B ] LB 0 := e rt E[(A N K)1 B ] for some event set B Ω A N K in B \ B Choose event set B that is close proxy to the true event set B (ensures tightness of the bound) makes the problem more analytically tractable compared to the original B 9/12
22 Pricing performance under different model assumptions I Table : LB: optimized lower bound. APRE: average % relative error of LB w.r.t. CVMC simulation price estimate (with LB itself used as control variate), obtained across strikes K {90,100,110} and no. of monitoring dates n {12,50,250}. Model features: J: jumps in asset price, SV: stochastic volatility, SVJ: jumps in stoch. vol. process. Model J SV J&SV J&SVJ APRE Lognormal 0.014% CEV 0.022% Gen. exp. Lévy 0.034% Heston 0.021% Bates 0.021% Duffie et al % BNS-Γ 0.032% BNS-IG 0.021% 10/12
23 References I Bates, D. S Jumps and stochastic volatility: exchange rate processes implicit in deutsche mark options. Review of Financial Studies 9(1) Bayraktar, E., H. Xing Pricing Asian options for jump diffusion. Mathematical Finance 21(1) Cai, N., S. Kou Pricing Asian options under a hyper-exponential jump diffusion model. Operations Research 60(1) Cai, N., S. Kou, Y. Song. 2013a. A general framework for pricing Asian options under Markov processes. Working paper, The Hong Kong University of Science and Technology and National University of Singapore. Cai, N., C. Li, C. Shi. 2013b. Closed-form expansions of discretely monitored Asian options in diffusion models. Mathematics of Operations Research URL Carr, P., H. Geman, D. B. Madan, M. Yor Stochastic volatility for Lévy processes. Mathematical Finance 13(3) Carr, P., L. Wu Time-changed Lévy processes and option pricing. Journal of Financial Economics 71(1) Carverhill, A., L. Clewlow Flexible convolution. Risk 3(4) Černý, A., I. Kyriakou An improved convolution algorithm for discretely sampled Asian options. Quantitative Finance 11(3) Curran, M Beyond average intelligence. Risk 5(10) 60. Curran, M Valuing Asian and portfolio options by conditioning on the geometric mean price. Management Science 40(12) Dewynne, J. N., W. T. Shaw Differential equations and asymptotic solutions for arithmetic Asian options: Black Scholes formulae for Asian rate calls. European Journal of Applied Mathematics 19(4) Duffie, D., J. Pan, K. Singleton Transform analysis and asset pricing for affine jump-diffusions. Econometrica 68(6) Ewald, C.-O., O. Menkens, S. H. M. Ting Asian and Australian options: A common perspective. Journal of Economic Dynamics and Control 37(5) Fusai, G., M. Marena, A. Roncoroni Analytical pricing of discretely monitored Asian-style options: Theory and application to commodity markets. Journal of Banking and Finance 32(10) Fusai, G., A. Meucci Pricing discretely monitored Asian options under Lévy processes. Journal of Banking and Finance 32(10) /12
24 References II Geman, H., M. Yor Bessel processes, Asian options, and perpetuities. Mathematical Finance 3(4) Heston, S. L A closed-form solution for options with stochastic volatility with applications to bond and currency options. Review of Financial Studies 6(2) Lemmens, D., L.Z.J. Liang, J. Tempere, A. De Schepper Pricing bounds for discrete arithmetic Asian options under Lévy models. Physica A: Statistical Mechanics and its Applications 389(22) Nielsen, J. Aase, K. Sandmann Pricing bounds on Asian options. Journal of Financial and Quantitative Analysis 38(2) Nomikos, N. K., I. Kyriakou, N. C. Papapostolou, P. K. Pouliasis Freight options: Price modelling and empirical analysis. Transportation Research Part E: Logistics and Transportation Review 51(0) Novikov, A., N. Kordzakhia On lower and upper bounds for asian-type options: a unified approach. Working paper, University of Technology, Sydney, and Macquarie University, Sydney. Rogers, L. C. G., Z. Shi The value of an Asian option. Journal of Applied Probability 32(4) Sesana, D., D. Marazzina, G. Fusai Pricing exotic derivatives exploiting structure. European Journal of Operational Research 236(1) Thompson, G. W. P Fast narrow bounds on the value of Asian options. Working paper, Cambridge University. Večeř, J Unified Asian pricing. Risk 15(6) Zhang, B., C. W. Oosterlee Efficient pricing of European-style Asian options under exponential Lévy processes based on Fourier cosine expansions. SIAM Journal on Financial Mathematics 4(1) Zhang, J. E A semi-analytical method for pricing and hedging continuously sampled arithmetic average rate options. Journal of Computational Finance 5(1) Zhu, Y., G. Zhou Technical analysis: An asset allocation perspective on the use of moving averages. Journal of Financial Economics 92(3) /12
Affine-structure models and the pricing of energy commodity derivatives
Affine-structure models and the pricing of energy commodity derivatives Nikos K Nomikos [email protected] Cass Business School, City University London Joint work with: Ioannis Kyriakou, Panos Pouliasis
A Novel Fourier Transform B-spline Method for Option Pricing*
A Novel Fourier Transform B-spline Method for Option Pricing* Paper available from SSRN: http://ssrn.com/abstract=2269370 Gareth G. Haslip, FIA PhD Cass Business School, City University London October
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
MATHEMATICAL FINANCE and Derivatives (part II, PhD)
MATHEMATICAL FINANCE and Derivatives (part II, PhD) Lecturer: Prof. Dr. Marc CHESNEY Location: Time: Mon. 08.00 09.45 Uhr First lecture: 18.02.2008 Language: English Contents: Stochastic volatility models
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
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
OPTION PRICING FOR WEIGHTED AVERAGE OF ASSET PRICES
OPTION PRICING FOR WEIGHTED AVERAGE OF ASSET PRICES Hiroshi Inoue 1, Masatoshi Miyake 2, Satoru Takahashi 1 1 School of Management, T okyo University of Science, Kuki-shi Saitama 346-8512, Japan 2 Department
Stephane Crepey. Financial Modeling. A Backward Stochastic Differential Equations Perspective. 4y Springer
Stephane Crepey Financial Modeling A Backward Stochastic Differential Equations Perspective 4y Springer Part I An Introductory Course in Stochastic Processes 1 Some Classes of Discrete-Time Stochastic
A non-gaussian Ornstein-Uhlenbeck process for electricity spot price modeling and derivatives pricing
A non-gaussian Ornstein-Uhlenbeck process for electricity spot price modeling and derivatives pricing Thilo Meyer-Brandis Center of Mathematics for Applications / University of Oslo Based on joint work
Managing Shipping Risk in the Global Supply Chain The Case for Freight Options
Managing Shipping Risk in the Global Supply Chain The Case for Professor in Shipping Risk management Director, MSc Shipping, Trade & Finance Cass Business School email: [email protected] Presentation
Pricing Dual Spread Options by the Lie-Trotter Operator Splitting Method
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
Monte Carlo Methods and Models in Finance and Insurance
Chapman & Hall/CRC FINANCIAL MATHEMATICS SERIES Monte Carlo Methods and Models in Finance and Insurance Ralf Korn Elke Korn Gerald Kroisandt f r oc) CRC Press \ V^ J Taylor & Francis Croup ^^"^ Boca Raton
An Analytical Pricing Formula for VIX Futures and Its Empirical Applications
Faculty of Informatics, University of Wollongong An Analytical Pricing Formula for VIX Futures and Its Empirical Applications Song-Ping Zhu and Guang-Hua Lian School of Mathematics and Applied Statistics
LOG-TYPE MODELS, HOMOGENEITY OF OPTION PRICES AND CONVEXITY. 1. Introduction
LOG-TYPE MODELS, HOMOGENEITY OF OPTION PRICES AND CONVEXITY M. S. JOSHI Abstract. It is shown that the properties of convexity of call prices with respect to spot price and homogeneity of call prices as
Option Pricing Formulae using Fourier Transform: Theory and Application
Option Pricing Formulae using Fourier Transform: Theory and Application Martin Schmelzle * April 2010 Abstract Fourier transform techniques are playing an increasingly important role in Mathematical Finance.
Explicit Option Pricing Formula for a Mean-Reverting Asset in Energy Markets
Explicit Option Pricing Formula for a Mean-Reverting Asset in Energy Markets Anatoliy Swishchuk Mathematical & Computational Finance Lab Dept of Math & Stat, University of Calgary, Calgary, AB, Canada
From Asian Options to Commodities
From Asian Options to Commodities Helyette Geman Birkbeck, University of London & ESCP Europe To be presented in the Workshop anniversary of the DEA Probabilités et Finance - Paris, Jan 11, 2010 Asian
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.
THE TIME-DISCRETE METHOD OF LINES FOR OPTIONS AND BONDS
THE TIME-DISCRETE METHOD OF LINES FOR OPTIONS AND BONDS APDEApproach % " 24 BSV ViSfVs^i + pbi
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
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
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
A new Feynman-Kac-formula for option pricing in Lévy models
A new Feynman-Kac-formula for option pricing in Lévy models Kathrin Glau Department of Mathematical Stochastics, Universtity of Freiburg (Joint work with E. Eberlein) 6th World Congress of the Bachelier
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,
Hedging Exotic Options
Kai Detlefsen Wolfgang Härdle Center for Applied Statistics and Economics Humboldt-Universität zu Berlin Germany introduction 1-1 Models The Black Scholes model has some shortcomings: - volatility is not
Dynamic Jump Intensities and Risk Premiums in Crude Oil Futures and Options Markets
Dynamic Jump Intensities and Risk Premiums in Crude Oil Futures and Options Markets Peter Christoffersen University of Toronto, CBS, and CREATES Kris Jacobs University of Houston and Tilburg University
The Vyncke et al. Solution for Pricing European-style Arithmetic Asian Options
The Vyncke et al. Solution for Pricing European-style Arithmetic Asian Options Justin David Floor University of Cape Town 8 February 2010 Submitted towards the M.Phil degree in Mathematical Finance Supervised
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
Management of Asian and Cliquet Option Exposures for Insurance Companies: SPVA applications (I)
Management of Asian and Cliquet Option Exposures for Insurance Companies: SPVA applications (I) Pin Chung and Rachid Lassoued 5th September, 2014, Wicklow, Ireland 0 Agenda 1. Introduction 2. Review of
Modeling the Implied Volatility Surface. Jim Gatheral Stanford Financial Mathematics Seminar February 28, 2003
Modeling the Implied Volatility Surface Jim Gatheral Stanford Financial Mathematics Seminar February 28, 2003 This presentation represents only the personal opinions of the author and not those of Merrill
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
Volatility Index: VIX vs. GVIX
I. II. III. IV. Volatility Index: VIX vs. GVIX "Does VIX Truly Measure Return Volatility?" by Victor Chow, Wanjun Jiang, and Jingrui Li (214) An Ex-ante (forward-looking) approach based on Market Price
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
Pricing and calibration in local volatility models via fast quantization
Pricing and calibration in local volatility models via fast quantization Parma, 29 th January 2015. Joint work with Giorgia Callegaro and Martino Grasselli Quantization: a brief history Birth: back to
How To Price Garch
2011 3rd International Conference on Information and Financial Engineering IPEDR vol.12 (2011) (2011) IACSIT Press, Singapore A Study on Heston-Nandi GARCH Option Pricing Model Suk Joon Byun KAIST Business
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
Option pricing. Vinod Kothari
Option pricing Vinod Kothari Notation we use this Chapter will be as follows: S o : Price of the share at time 0 S T : Price of the share at time T T : time to maturity of the option r : risk free rate
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
Mathematical Modeling and Methods of Option Pricing
Mathematical Modeling and Methods of Option Pricing This page is intentionally left blank Mathematical Modeling and Methods of Option Pricing Lishang Jiang Tongji University, China Translated by Canguo
Lecture 1: Stochastic Volatility and Local Volatility
Lecture 1: Stochastic Volatility and Local Volatility Jim Gatheral, Merrill Lynch Case Studies in Financial Modelling Course Notes, Courant Institute of Mathematical Sciences, Fall Term, 2002 Abstract
IL GOES OCAL A TWO-FACTOR LOCAL VOLATILITY MODEL FOR OIL AND OTHER COMMODITIES 15 // MAY // 2014
IL GOES OCAL A TWO-FACTOR LOCAL VOLATILITY MODEL FOR OIL AND OTHER COMMODITIES 15 MAY 2014 2 Marie-Lan Nguyen / Wikimedia Commons Introduction 3 Most commodities trade as futures/forwards Cash+carry arbitrage
Exam P - Total 23/23 - 1 -
Exam P Learning Objectives Schools will meet 80% of the learning objectives on this examination if they can show they meet 18.4 of 23 learning objectives outlined in this table. Schools may NOT count a
PRICING DISCRETELY SAMPLED PATH-DEPENDENT EXOTIC OPTIONS USING REPLICATION METHODS
PRICING DISCRETELY SAMPLED PATH-DEPENDENT EXOTIC OPTIONS USING REPLICATION METHODS M. S. JOSHI Abstract. A semi-static replication method is introduced for pricing discretely sampled path-dependent options.
option pricing algorithms, latticebased
Pricing Algorithms for Options with Exotic Path-Dependence YUE KUEN KWOK is an associate professor of mathematics at the Hong Kong University of Science and Technology in Hong Kong. KA WO LAU is a Ph.D.
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
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
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
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
Analytic American Option Pricing: The Flat-Barrier Lower Bound
Analytic American Option Pricing: The Flat-Barrier Lower Bound Alessandro Sbuelz First Version: June 3, 23 This Version: June 1, 24 Abstract In a Black and Scholes (1973) world I study the pricing performance
STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400&3400 STAT2400&3400 STAT2400&3400 STAT2400&3400 STAT3400 STAT3400
Exam P Learning Objectives All 23 learning objectives are covered. General Probability STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 STAT2400 1. Set functions including set notation and basic elements
Stochastic Skew Models for FX Options
Stochastic Skew Models for FX Options Peter Carr Bloomberg LP and Courant Institute, NYU Liuren Wu Zicklin School of Business, Baruch College Special thanks to Bruno Dupire, Harvey Stein, Arun Verma, and
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
Option Pricing with Time Varying Volatility
Corso di Laurea Specialistica in Economia, curriculum Models and Methods of Quantitative Economics per la Gestione dell Impresa Prova finale di Laurea Option Pricing with Time Varying Volatility Relatore
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
Lisa Borland. A multi-timescale statistical feedback model of volatility: Stylized facts and implications for option pricing
Evnine-Vaughan Associates, Inc. A multi-timescale statistical feedback model of volatility: Stylized facts and implications for option pricing Lisa Borland October, 2005 Acknowledgements: Jeremy Evnine
VALUATION IN DERIVATIVES MARKETS
VALUATION IN DERIVATIVES MARKETS September 2005 Rawle Parris ABN AMRO Property Derivatives What is a Derivative? A contract that specifies the rights and obligations between two parties to receive or deliver
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
Program description for the Master s Degree Program in Mathematics and Finance
Program description for the Master s Degree Program in Mathematics and Finance : English: Master s Degree in Mathematics and Finance Norwegian, bokmål: Master i matematikk og finans Norwegian, nynorsk:
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
Path-dependent options
Chapter 5 Path-dependent options The contracts we have seen so far are the most basic and important derivative products. In this chapter, we shall discuss some complex contracts, including barrier options,
OPTIONS IN CORPORATE FINANCE FINA 763 Spring 2005
OPTIONS IN CORPORATE FINANCE FINA 763 Spring 2005 Dr. William T. Moore Phone: 777-4905 (office) Office: BA 473 782-6434 (home) Office Hours: Open e-mail: [email protected] Objective This course is
Stochastic Skew in Currency Options
Stochastic Skew in Currency Options PETER CARR Bloomberg LP and Courant Institute, NYU LIUREN WU Zicklin School of Business, Baruch College Citigroup Wednesday, September 22, 2004 Overview There is a huge
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
Valuation of Asian options and commodity contingent claims
Valuation of Asian options and commodity contingent claims Steen Koekebakker ' lthis dissertation is submitted to the Department of Finance and Management Science at the Norwegian School of Economics and
Chapter 1: Financial Markets and Financial Derivatives
Chapter 1: Financial Markets and Financial Derivatives 1.1 Financial Markets Financial markets are markets for financial instruments, in which buyers and sellers find each other and create or exchange
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
Pricing Barrier Options under Local Volatility
Abstract Pricing Barrier Options under Local Volatility Artur Sepp Mail: [email protected], Web: www.hot.ee/seppar 16 November 2002 We study pricing under the local volatility. Our research is mainly
Rivista ISI 2007 SCOPUS SCIMAGOJR Mathscinet Zentralblatt Econlit
Rivista ISI 2007 SCOPUS SCIMAGOJR Mathscinet Zentralblatt Econlit Advances in Applied Mathematics 0,718 NO 0,061 SI SI NO Advances in Applied Probability 0,991 SI 0,069 SI SI NO Advances in Difference
Robert L. Kimmel. Education
Robert L. Kimmel Visiting Associate Professor 15 Kent Ridge Drive #07-62 National University of Singapore Singapore 119245 Department of Finance +65 6516 5552 NUS Business School [email protected]
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
One-state Variable Binomial Models for European-/American-Style Geometric Asian Options
One-state Variable Binomial Models for European-/American-Style Geometric Asian Options Min Dai Laboratory of Mathematics and Applied Mathematics, and Dept. of Financial Mathematics, Peking University,
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
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
HPCFinance: New Thinking in Finance. Calculating Variable Annuity Liability Greeks Using Monte Carlo Simulation
HPCFinance: New Thinking in Finance Calculating Variable Annuity Liability Greeks Using Monte Carlo Simulation Dr. Mark Cathcart, Standard Life February 14, 2014 0 / 58 Outline Outline of Presentation
Options: Definitions, Payoffs, & Replications
Options: Definitions, s, & Replications Liuren Wu Zicklin School of Business, Baruch College Options Markets Liuren Wu (Baruch) s Options Markets 1 / 34 Definitions and terminologies An option gives the
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
FULL LIST OF REFEREED JOURNAL PUBLICATIONS Qihe Tang
FULL LIST OF REFEREED JOURNAL PUBLICATIONS Qihe Tang 87. Li, J.; Tang, Q. Interplay of insurance and financial risks in a discrete-time model with strongly regular variation. Bernoulli 21 (2015), no. 3,
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
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
Market Risk Analysis. Quantitative Methods in Finance. Volume I. The Wiley Finance Series
Brochure More information from http://www.researchandmarkets.com/reports/2220051/ Market Risk Analysis. Quantitative Methods in Finance. Volume I. The Wiley Finance Series Description: Written by leading
Hedging Options In The Incomplete Market With Stochastic Volatility. Rituparna Sen Sunday, Nov 15
Hedging Options In The Incomplete Market With Stochastic Volatility Rituparna Sen Sunday, Nov 15 1. Motivation This is a pure jump model and hence avoids the theoretical drawbacks of continuous path models.
Summary of Interview Questions. 1. Does it matter if a company uses forwards, futures or other derivatives when hedging FX risk?
Summary of Interview Questions 1. Does it matter if a company uses forwards, futures or other derivatives when hedging FX risk? 2. Give me an example of how a company can use derivative instruments to
Notes on Black-Scholes Option Pricing Formula
. Notes on Black-Scholes Option Pricing Formula by De-Xing Guan March 2006 These notes are a brief introduction to the Black-Scholes formula, which prices the European call options. The essential reading
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
Commodity Forward Curves : The Old and the New
Commodity Forward Curves : The Old and the New Helyette Geman Birkbeck, University of London & ESCP Europe Member of the Board of the UBS- Bloomberg Commodity Index To be presented at the Workshop on New
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
