A Computationally efficient Method for Obtaining Smoothed Volatilities in Long-Memory Stochastic Volatility Models

1. Marmol, Francesc
2. Pérez Espartero, Ana
3. Reboredo Nogueira, Juan Carlos

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Resumen

We provide a computationally e±cient method, based on Harvey (1998) proposal, to estimate the underlying volatility of asset returns using the Long-Memory Stochastic Volatility (LMSV ) model. The performance of our procedure is illustrated with an application to three series of daily exhange rates returns. A comparison of long memory GARCH-type volatilities with our smoothed ones is also presented.

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