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91Ó°ÊÓ

Problem 1

Consider a model for the stock market where the short rate of interest \(r\) is a deterministic constant. We focus on a particular stock with price process \(S .\) Under the objective probability measure \(P\) we have the following dynamics for the price process. $$ d S(t)=(L S(t) d t+o S(t) d W(t)+\delta S(t-) d N(t) $$ - Between the jump times of the Poisson process \(N\), the \(S\)-process behaves just like ordinary geometric Brownian motion. \- If \(N\) has a jump at time \(t\) this induces \(S\) to have a jump at time \(t .\) The size of the \(S\)-jump is given by $$ S(t)-S(t-)=\delta \cdot S(t-) . $$ Discuss the following questions. (a) Is the model free of arbitrage? (b) Is the model complete? (c) Is there a unique arbitrage free price for, say, a European call option? (d) Suppose that you want to replicate a European call option maturing in January 1999. Is it posssible (theoretically) to replicate this asset by a portfolio consisting of bonds, the underlying stock and European call option maturing in December 2001 ? Here \(W\) is a standard Wiener process whereas \(N\) is a Poisson process with intensity \(\lambda\). We assume that \(\alpha, \sigma, \delta\) and \(\lambda\) are known to us. The \(d N\) term is to be interpreted in the following way.

Problem 4

Consider the standard Black-Scholes model, and \(n\) different simple contingent claims with contract functions \(\Phi_{1}, \ldots, \Phi_{k}\). Let $$ V=\sum_{i=1}^{n} h_{i}(t) S_{j}(t) $$ denote the value process of a self-financing, Markovian (see Definition 5.2) portfolio. Because of the Markovian Assumption, \(V\) will be of the form \(V(t, S(t))\). Show that \(V\) satisfics the Black-Scholes equation.

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