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Purdue Computational Finance Program


An overview of hedging and pricing in incomplete markets

February 6, 2002

Krannert G013

Mr. Kiseop Lee, Department of Statistics, Purdue University

Abstract:
A traditional model for financial asset prices is that of a solution of a stochastic differential equation, driven by Brownian motion and Lebesgue measure; that is, a standard diffusion. The classic Black-Scholes model is a special case of this class. In some situations, however, such a model is inappropriate. In particular, empirical work has led researchers to conclude that appropriate models often contain price processes with jumps. This is reflected both in simple observations of price processes, and in statistical analysis of tail distributions (that is, the existence and persistence of `heavy tails', that diffusion models do not have). Furthermore, when modeling implied volatility surfaces, models that allow for jumps fit the data better than do models that do not, especially when times are close to maturity. But adding jumps to a model causes an interesting problem, since often the market becomes incomplete. In this case, we can no longer use the standard hedging and pricing methods, and some alternatives are needed. We introduce alternative hedging and pricing methods in incomplete markets and some new and recent approaches.

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