Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bastian Gribisch"'
Autor:
Bastian Gribisch, Tobias Eckernkemper
Publikováno v:
Journal of Forecasting. 40:883-910
We propose a copula-based periodic mixed frequency generalized autoregressive (GAS) framework in order to model and forecast the intraday exposure conditional value at risk (ECoVaR) for an intraday asset return and the corresponding market return. In
Publikováno v:
Journal of Empirical Finance. 55:1-20
We propose a dynamic factor state–space model for high-dimensional covariance matrices of asset returns. It makes use of observed risk factors and assumes that the latent integrated joint covariance matrix of the assets and the factors is observed
Autor:
Jeremias Bekierman, Bastian Gribisch
Publikováno v:
Journal of Financial Econometrics. 19:496-530
We propose a mixed frequency stochastic volatility (MFSV) model for the dynamics of intraday asset return volatility. In order to account for long-memory we separate stochastic daily and intraday volatility patterns by introducing a long-run componen
Publikováno v:
WIREs Computational Statistics. 14
Autor:
Bastian Gribisch, Tobias Eckernkemper
Publikováno v:
SSRN Electronic Journal.
We propose a general framework for Maximum Likelihood (ML) and Bayesian estimation of income distributions based on grouped data information. The asymptotic properties of the ML estimators are derived and Bayesian parameter estimates are obtained by
Autor:
Bastian Gribisch, Jan Patrick Hartkopf
Publikováno v:
SSRN Electronic Journal.
We propose to generalize the Wishart state-space model for realized covariance matrices of asset returns in order to capture complex measurement error structures induced by heterogeneous liquidity across assets. Our model assumes that the latent cova
Autor:
Vasyl Golosnoy, Bastian Gribisch
Publikováno v:
SSRN Electronic Journal.
We propose direct multiple time series models for predicting high dimensional vectors of observable realized global minimum variance portfolio (GMVP) weights computed based on high-frequency intraday returns. We apply Lasso regression techniques, dev
Autor:
Bastian Gribisch, Tobias Eckernkemper
Publikováno v:
SSRN Electronic Journal.
We propose a copula-based periodic mixed frequency GAS framework in order to model and forecast the intraday Exposure Conditional Value at Risk (ECoVaR) for an intraday asset return and the corresponding market return. In particular we analyze GAS mo
Publikováno v:
SSRN Electronic Journal.
We propose a dynamic factor state-space model for high-dimensional covariance matrices of asset returns. It uses observed risk factors and assumes that the latent covariance matrix of assets and factors is observed through their realized covariance m
Publikováno v:
Journal of International Money and Finance. 53:95-114
Using a novel four-phase model based upon a conditional autoregressive Wishart framework for realized variances and covariances we quantify intra-daily volatility spillovers within and across the US, German and Japanese stock markets before and durin