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Quantitative Finance · Glossário

O que é Markovian projection?

Definition 9.6 Derivatives and Volatility · Capítulo 9 — Local Volatility

The Markovian projection of an Itô process dSt=μtSt dt+σtSt dWtdS_t=\mu_tS_t\,dt+ \sigma_tS_t\,dW_t, with σt\sigma_t random, is the local volatility model with σloc2(t,K)=E[σt2∣St=K]\sigma_{\mathrm{loc}}^2(t,K)=\E\bigl[\sigma_t^2\mid S_t=K\bigr]; by Gyöngy’s theorem, StS_t has the same law in both at every date.

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