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In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...
Persistent link: https://www.econbiz.de/10010322563
In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...
Persistent link: https://www.econbiz.de/10009348026
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volatility, since this is precisely the variable that is negotiated. We present then a statistical methodology for the estimation …The valuation of options and to a large extent the financial derivatives market require an optimal estimation of the … of the volatility parameter for an asset using methods of the Bayesian approach to statistics. As prior distributions for …
Persistent link: https://www.econbiz.de/10014494469
forecasts based on a pre-pandemic estimation of the parameters in the DFM and a re-estimated DFM with updated parameters using …
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