Abstract
In an affine term structure framework we propose a discrete time stochastic volatility model. We derive the characteristic function of the log swap rate under swap measure. Having the characteristic function, we employ the Fourier cosine (COS) technique to price swaptions. Using data on tweleve years of swap rates and swaption premiums, model parameters are estimated using an unscented Kalman filter algorithm.
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