Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Discrete-Time Hedging for European Contingent Claims via Risk Minimization in Market Measure


Affiliations
1 Tata Consultancy Services, No. 1, Software Units Layout, Madhapur, Hyderabad 500081
2 Tata Consultancy Services No. 1, Software Units Layout, Madhapur, Hyderabad 500081
3 Tata Consultancy Services No. 1, Software Units Layout, Madhapur,Hyderabad 500081
     

   Subscribe/Renew Journal


In this work, we propose a discrete-time hedging strategy for a European contingent claim (ECC) that reduces risk in the market measure. To this end, we minimize the second-moment of the hedging error in the market measure and give computable expressions for the positions that the seller must hold in the underlying asset (of the ECC) at any given hedge time. The minimization of the second-moment of the hedging error also yields an expression for the price of the option. The expressions obtained can be evaluated using Monte-Carlo methods. A noteworthy feature of the framework is that, it does not assume any specific model for the underlying asset price or involve any assumptions on the underlying market probability measure.

Keywords

European Contingent Claims (ecc), Discrete-time Hedging, Market Measure, Second-moment, Risk-minimization, Path-dependent Options, Martingale Measure, Geometric Brownian Motion (gbm)
Subscription Login to verify subscription
User
Notifications
Font Size


  • Angelini, F., & Herzel, S. (2009). Explicit formula for minimumvariance hedging strategy in a martingale case. Decisions in Economics and Finance , 33, 63-79.
  • Bhat, S.P., Chellaboina, V., & Bhatia, A. (2010). Discrete time hedging for European contingent claims. Available at SSRN : http:://ssrn.com//abstract=1636116 .
  • Bhat, S.P., Chellaboina, V., Kumar, M. U., Bhatia, A., & Prasad, S. (2009). Discrete time minimum variance hedging for European contigent claims. IEEE Conference on Decision and Control. Shanghai
  • Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy , 81, 637-659.
  • Boyle, D., & Emmanuel, P. (1980). Discretely adjusted option hedges. Journal of Financial Economics , 8, 259-282.
  • Follmer, H., & Schweizer, M. (1989). Hedging by sequential regression An introduction to mathematics of option trading. Astin Bulletin , 19, 29-42.
  • Follmer, H., & Sondermann, D. (1986). Contributions to Mathematical Economics. In I. W. Mas-Colell (Ed.). North Holland.
  • Harrison, M. J., & Pliska, S. R. (1981). Martingales and Stochastic integrals in the theory of continuous trading. Stochastic processes and their applications , 11, 215-260.
  • Hull, J. C. (2008). Options, Futures and other derivatives. Prentice Hall.
  • Mercurio, F., & Vorst, A. C. (1996). Option pricing with hedging with fixed trading dates. Applied Mathematical Finance , 3, 135-158.
  • Merton, R. C. (1973). Theory of rational option pricing. Bell Journal of Economics and Management science , 4, 141-183.
  • Schal, M. (1994). On quadratic cost criteria for option hedging. Mathematics of Operations Research , 19, 121-131.
  • Schweizer, M. (1992). Mean-variance hedging for general claims. Annals of Probability , 19, 171-179.
  • Schweizer, M. (1995). Variance-optimal hedging in discrete time. Mathematics of Operations Research , 20, 1-32.
  • Shreve, S. E. (2004). Stochastic calculus for Finance II : Continuoustime Models. Springer.
  • Willmott, P. (2007). Paul Willmott Introduces Quantitative Finance. Wiley.

Abstract Views: 355

PDF Views: 0




  • Discrete-Time Hedging for European Contingent Claims via Risk Minimization in Market Measure

Abstract Views: 355  |  PDF Views: 0

Authors

Easwar Subramanian
Tata Consultancy Services, No. 1, Software Units Layout, Madhapur, Hyderabad 500081
Vijaysekhar Chellaboina
Tata Consultancy Services No. 1, Software Units Layout, Madhapur, Hyderabad 500081
Anil Bhatia
Tata Consultancy Services No. 1, Software Units Layout, Madhapur, Hyderabad 500081
Sanjay P. Bhat
Tata Consultancy Services No. 1, Software Units Layout, Madhapur,Hyderabad 500081

Abstract


In this work, we propose a discrete-time hedging strategy for a European contingent claim (ECC) that reduces risk in the market measure. To this end, we minimize the second-moment of the hedging error in the market measure and give computable expressions for the positions that the seller must hold in the underlying asset (of the ECC) at any given hedge time. The minimization of the second-moment of the hedging error also yields an expression for the price of the option. The expressions obtained can be evaluated using Monte-Carlo methods. A noteworthy feature of the framework is that, it does not assume any specific model for the underlying asset price or involve any assumptions on the underlying market probability measure.

Keywords


European Contingent Claims (ecc), Discrete-time Hedging, Market Measure, Second-moment, Risk-minimization, Path-dependent Options, Martingale Measure, Geometric Brownian Motion (gbm)

References