Showing 1 - 8 of 8
The main objective of this paper is to propose a feasible, model free estimator of the predictive density of integrated volatility. In this sense, we extend recent papers by Andersen et a]. [Andersen, T.G., Bollerslev,T., Diebold, FX, Labys, P., 2003. Modelling and forecasting realized...
Persistent link: https://www.econbiz.de/10009468887
This article makes two contributions. First, we outline a simple simulation-based framework for constructing conditional distributions for multifactor and multidimensional diffusion processes, for the case where the functional form of the conditional density is unknown. The distributions can be...
Persistent link: https://www.econbiz.de/10009468945
This paper outlines a testing procedure for assessing the relative out-of-sample predictive accuracy of multiple conditional distribution models, and surveys existing related methods in the area of predictive density evaluation, including methods based on the probability integral transform and...
Persistent link: https://www.econbiz.de/10009485283
This paper reconsiders a block bootstrap procedure for Quasi Maximum Likelihood estimation of GARCH models, based on the resampling of the likelihood function, as proposed by Goncalves and White [2004. Maximum likelihood and the bootstrap for nonlinear dynamic models. journal of Econometrics...
Persistent link: https://www.econbiz.de/10009469027
In this paper we propose a locally interactive model which explains both the cross sectional dynamics as well as the possibility of multiple long run equilibria. Firms can choose between two technologies say 1 and 0; the returns from technology 1 are affected by the number of neighboring firms...
Persistent link: https://www.econbiz.de/10009458646
In this paper we provide a simple locally interactive dynamic model of technology choice and output production. We assume a Cobb-Douglas type production function for two available technologies. The returns to technology 0 are not affected by local spillovers. Technology 1 is more costly, as...
Persistent link: https://www.econbiz.de/10009458649
This paper proposes a testing procedure in order to distinguish between the case where the volatility of an asset price is a deterministic function of the price itself and the one where it is a function of one or more (possibly unobservable) factors, driven by not perfectly correlated Brownian...
Persistent link: https://www.econbiz.de/10009485281
This paper proposes a procedure to test for the correct specification of the functional form of the volatility process, within the class of eigenfunction stochastic volatility models (Meddahi, 2001). The procedure is based on the comparison of the moments of realized volatility measures with the...
Persistent link: https://www.econbiz.de/10009485282