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This paper develops two tests for parametric volatility function of a diffusion model based on Khmaladze (1981)’s martingale transformation. The tests impose no restrictions on the functional form of the drift function and are shown to be asymptotically distribution-free. The tests are...
Persistent link: https://www.econbiz.de/10011077605
disaggregates to be simultaneously considered with the aggregate. We provide the associated asymptotic theory for estimation and …
Persistent link: https://www.econbiz.de/10011052336
We examine the asymptotic properties of the coefficient of determination, R2, in models with α-stable   random variables. If the regressor and error term share the same index of stability α2, we show that the R2  statistic does not converge to a constant but has a nondegenerate distribution...
Persistent link: https://www.econbiz.de/10011052322
We introduce the Method of Simulated Quantiles, or MSQ, an indirect inference method based on quantile matching that is useful for situations where the density function does not have a closed form and/or moments do not exist. Functions of theoretical quantiles, which depend on the parameters of...
Persistent link: https://www.econbiz.de/10011052218
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC methods due to the path dependence problem. An unsolved...
Persistent link: https://www.econbiz.de/10011052313
model. The approximation converges to the true likelihood as the simulation size goes to infinity. In addition, the …
Persistent link: https://www.econbiz.de/10010574072