We propose robust numerical algorithms for pricing discrete variance options and volatility swaps under general time-changed Lèvy processes. Since analytic pricing formulas of these derivatives are not available, some of the earlier pricing methods use the quadratic variation approximation for...

We consider the saddlepoint approximation methods for pricing derivatives whose payoffs depend on the discrete realized variance of the underlying price process of a risky asset. Most of the earlier pricing models of variance products and volatility derivatives use the quadratic variation...

We develop efficient fast Fourier transform algorithms for pricing and hedging discretely sampled variance products and volatility derivatives under additive processes (time-inhomogeneous L evy processes). Our numerical algorithms are non-trivial versions of the Fourier space time stepping...

Convexity correction arises when one computes the expected value of an interest rate index under a probability measure other than its own natural martingale measure. As a typical example, the natural martingale measure of the swap rate is the swap measure with annuity as the numeraire. However,...

Most of the empirical studies on stochastic volatility dynamics favor the 3/2 specification over the square-root (CIR) process in the Heston model. In the context of option pricing, the 3/2 stochastic volatility model is reported to be able to capture the volatility skew evolution better than...

1. Volatility Trading and Variance Derivatives. 1.1. Implied Volatility and Local Volatility. 1.2. Volatility Trading using Options. 1.3. Derivatives on Discrete Realized Variance. 1.4. Replication of Variance Swaps. 1.5. Practical Implementation of Replication: Finite Strikes and Discrete...