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Abstract
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We discuss empirical motivations for long and short time scales in models of stochastic volatility based on diffusion processes. These have applications for pricing equity derivatives, interest rate products and credit derivatives, and calibrating implied volatilities, yield curves and credit spreads. A combination of singular and regular perturbation techniques provides convenient asymptotic approximations. |
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