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"Frontmatter". In: Analysis of Financial Time Series

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BLACK–SCHOLES FORMULA 235risk preferences cannot affect the solution <strong>of</strong> the equation. A nice consequence <strong>of</strong>this property is that one can assume that investors are risk-neutral. <strong>In</strong> a risk-neutralworld, we have the following results:• The expected return on all securities is the risk-free interest rate r, and• The present value <strong>of</strong> any cash flow can be obtained by discounting its expectedvalue at the risk-free rate.6.6.2 FormulasThe expected value <strong>of</strong> a European call option at maturity in a risk-neutral world isE ∗ [max(P T − K, 0)],where E ∗ denotes expected value in a risk-neutral world. The price <strong>of</strong> the call optionat time t isc t = exp[−r(T − t)]E ∗ [max(P T − K, 0)]. (6.18)Yet in a risk-neutral world, we have µ = r, and by Eq. (6.10), ln(P T ) is normallydistributed as[ ( )]ln(P T ) ∼ N ln(P t ) + r − σ 2(T − t), σ 2 (T − t) .2Let g(P T ) be the probability density function <strong>of</strong> P T . Then the price <strong>of</strong> the call optionin Eq. (6.18) isc t = exp[−r(T − t)]∫ ∞K(P T − K )g(P T )dP T .By changing the variable in the integration and some algebraic calculations (detailsare given in Appendix A), we havec t = P t (h + ) − K exp[−r(T − t)](h − ), (6.19)where (x) is the cumulative distribution function (CDF) <strong>of</strong> the standard normalrandom variable evaluated at x,h + = ln(P t/K ) + (r + σ 2 /2)(T − t)σ √ T − th − = ln(P t/K ) + (r − σ 2 /2)(T − t)σ √ T − t= h + − σ √ T − t.<strong>In</strong> practice, (x) can easily be obtained from most statistical packages. Alternatively,one can use an approximation given in Appendix B.

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