词条 | Stochastic volatility jump |
释义 |
In mathematical finance, the stochastic volatility jump (SVJ) model is suggested by Bates.[1] This model fits the observed implied volatility surface well. The model is a Heston process with an added Merton log-normal jump. ModelThe model assumes the following correlated processes: [where S = Price of Security, μ = constant drift (i.e. expected return), t = time, Z1 = Standard Brownian Motion etc.] References1. ^David S. Bates, "Jumps and Stochastic volatility: Exchange Rate Processes Implicity in Deutsche Mark Options", The Review of Financial Studies, volume 9, number 1, 1996, pages 69–107. {{econometrics-stub}} 1 : Mathematical finance |
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