SSRN Home Search and Download Papers Browse Abstract and Paper Submission Subscribe to Networks View Briefcase Top Papers Top Authors Top Institutions

 

Abstract

 
 

References (39)

Beta

 
 

Citations (19)

Beta

 


 


Download | Share | Email | Add to Briefcase | Buy Hard Copy

Static Hedging of Standard Options

Peter Carr
New York University - Courant Institute of Mathematical Sciences; Bloomberg Financial Markets (BFM)

Liuren Wu
City University of New York, CUNY Baruch College - Zicklin School of Business


May 21, 2004


Abstract:     
We consider the hedging of options when the price of the underlying asset is always exposed to the possibility of jumps of random size. Working in a single factor Markovian setting, we derive a new spanning relation between a given option and a continuum of shorter-term options written on the same asset. In this portfolio of shorter-term options, the portfolio weights do not vary with the underlying asset price or calendar time. We then implement this static relation using a finite set of shorter-term options and use Monte Carlo simulation to determine the hedging error thereby introduced. We compare this hedging error to that of a delta hedging strategy based on daily rebalancing in the underlying futures. The simulation results indicate that the two types of hedging strategies exhibit comparable performance in the classic Black-Scholes environment, but that our static hedge strongly outperforms delta hedging when the underlying asset price is governed by Merton (1976)'s jump-diffusion model. The conclusions are unchanged when we switch to ad hoc static and dynamic hedging practices necessitated by a lack of knowledge of the driving process. Further simulations indicate that the inferior performance of the delta hedge in the presence of jumps cannot be improved upon by increasing the rebalancing frequency. In contrast, the superior performance of the static hedging strategy can be further enhanced by using more strikes or by optimizing on the common maturity in the hedge portfolio.

We also compare the hedging effectiveness of the two types of strategies using more than six years of data on S&P 500 index options. We find that in all cases considered, a static hedge using just five call options outperforms daily delta hedging with the underlying futures. The consistency of this result with our jump model simulations lends empirical support for the existence of jumps of random size in the movement of the S&P 500 index. We also find that the performance of our static hedge deteriorates moderately as we increase the gap between the maturity of the target call option and the common maturity of the call options in the hedge portfolio. We interpret this result as evidence of additional random factors such as stochastic volatility.

Keywords: Static hedging, jumps, option pricing, Monte Carlo, S&P 500 index options, stochastic volatility

JEL Classifications: G12, G13, C52

Working Paper Series

Date posted: September 02, 2004 ; Last revised: September 02, 2004

Suggested Citation

Carr, Peter P. and Wu, Liuren, Static Hedging of Standard Options (May 21, 2004). Available at SSRN: http://ssrn.com/abstract=585451


Export to: Export Citation What's this?

Contact Information

Liuren Wu (Contact Author)
City University of New York, CUNY Baruch College - Zicklin School of Business ( email )
One Bernard Baruch Way
Box B10-225
New York, NY 10010
United States
646-312-3509 (Phone)
646-312-3451 (Fax)
HOME PAGE: http://faculty.baruch.cuny.edu/lwu/
Peter P. Carr
New York University - Courant Institute of Mathematical Sciences ( email )
251 Mercer Street
New York, NY 10012
United States
Bloomberg Financial Markets (BFM) ( email )
IBM-house, 10th floor
Tel Aviv 61336 Israel
2126175056 (Phone)
HOME PAGE: www.math.nyu.edu/research/carrp
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 4,429
Downloads: 1,264
Download Rank: 3,293
References: 39
Citations: 19

© 2009 Social Science Electronic Publishing, Inc. All Rights Reserved. Terms of Use  Privacy Policy
This page was served by apollo3 in 0.125 seconds.