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-transaction duration process and vice versa. In order to solve the estimation problems implied by this interdependent formulation, we first … propose a GMM estimation procedure for the Autoregressive Conditional Duration model. The method is then extended to the … simultaneous estimation of the interdependent duration-volatility model. In an empirical application we utilize the model for an …
Persistent link: https://www.econbiz.de/10009579173
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a...
Persistent link: https://www.econbiz.de/10009578026
Daily returns of financial assets are frequently found to exhibit positive autocorrelation at lag 1. When specifying a linear AR(l) conditional mean, one may ask how this predictability affects option prices. We investigate the dependence of option prices on autoregressive dynamics under...
Persistent link: https://www.econbiz.de/10009580460
The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on...
Persistent link: https://www.econbiz.de/10009613611