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Financial markets embed expectations of central bank policy into asset prices. This paper compares two approaches that extract a probability density of market beliefs. The first is a simulated moments estimator for option volatilities described in Mizrach (2002); the second is a new approach...
Persistent link: https://www.econbiz.de/10005750171
Despite the widespread use of the GARCH model, the specification of the heteroscedasticity is essentially ad hoc. This … paper's contribution is to develop a model of asset pricing and learning where GARCH disturbances evolve naturally out of … supports the extended GARCH specification proposed in the paper. …
Persistent link: https://www.econbiz.de/10005800361
We compare small-sample properties of Bayes estimation and maximum likelihood estimation (MLE) of ARMA-GARCH models … method of testing strict stationarity and ergodicity of the conditional variance in the GARCH(1,1) process, near epoch … depencenve (NED), and finiteness of unconditional moments of the GARCH(1,1) process by using a Markov chain Monte Carlo (MCMC …
Persistent link: https://www.econbiz.de/10005800421
. Finally, the predictive accuracy of the HAR-RV model is tested against GARCH specifications using one-step-ahead forecasts …
Persistent link: https://www.econbiz.de/10005078954
Conditional heteroskedasticity is an important feature of many macroeconomic and financial time series. Standard residual-based bootstrap procedures for dynamic regression models treat the regression eroor as i.i.d. These procedures are invalid in the presence of conditional heteroskedasticity....
Persistent link: https://www.econbiz.de/10005816215