The Annals of Applied Probability

The Russian Option: Reduced Regret

Larry Shepp and A. N. Shiryaev
Source: Ann. Appl. Probab. Volume 3, Number 3 (1993), 631-640.

Abstract

We propose a new put option where the option buyer receives the maximum price (discounted) that the option has ever traded at during the time period (which may be indefinitely long) between the purchase time and the exercise time, so that the buyer need look at the fluctuations only occasionally and enjoys having little or no regret that he did not exercise the option at an earlier time (except for the discounting). We give an exact simple formula for the optimal expected present value (fair price) that can be derived from the option and the (unique) optimal exercise strategy that achieves the optimum value under the assumption that the asset fluctuations follow the Black-Scholes exponential Brownian motion model, which is widely accepted. It is important to note that the discounting is necessary: If it is omitted or even if it is less than the Black-Scholes drift, then the value to the buyer under optimum performance is infinite. We also solve the same problem under a different model: the original Bachelier linear Brownian market with linear discounting. This model is no longer accepted, but of course the mathematics is consistent. To our knowledge no such regretless option is currently traded in any existing market despite its evident appeal. We call it the Russian option, partly to distinguish it from the American and European options, where the term of the option is prescribed in advance and where no exact formula for the value has been given.

First Page: Show Hide
Primary Subjects: 90A09
Secondary Subjects: 60H30, 60G44
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aoap/1177005355
JSTOR: links.jstor.org
Digital Object Identifier: doi:10.1214/aoap/1177005355
Mathematical Reviews number (MathSciNet): MR1233617
Zentralblatt MATH identifier: 0783.90011


2012 © Institute of Mathematical Statistics

The Annals of Applied Probability

The Annals of Applied Probability