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The Bates (2006) Approximate Maximum Likelihood (AML) method is considered from a practical point of view. Application of the AML method is undertaken using FFT with splines for integration. Results are validated by both simulation and comparison to MCMC literature. The SVJ model is estimated...
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We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new...
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We develop and implement a new method for maximum likelihood estimation in closed-form of stochastic volatility models … unobservable volatility state, to an approximate likelihood procedure where the volatility state is replaced by the implied … volatility of a short dated at-the-money option. We find that the approximation results in a negligible loss of accuracy. We …
Persistent link: https://www.econbiz.de/10012468114
We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new...
Persistent link: https://www.econbiz.de/10012470313
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