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February 6, 2002
Krannert G013
Mr. Kiseop Lee, Department of Statistics, Purdue University
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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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©
2002 Purdue University
Last Update: January 17, 2002
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