Showing 1 - 10 of 19,685
obtained from Linear Models and Conditional heteroscedasticity models …
Persistent link: https://www.econbiz.de/10014159095
We propose a new approach to imposing economic constraints on forecasts of the equity premium. Economic constraints are used to modify the posterior distribution of the parameters of the predictive return regression in a way that better allows the model to learn from the data. We consider two...
Persistent link: https://www.econbiz.de/10013064939
; factor ; federal reserve bank ; forecast ; macroeconometrics ; monetary policy ; parameter estimation error ; proxy …
Persistent link: https://www.econbiz.de/10009130538
This paper studies the information content of some Ifo indicators. In particular, we investigate whether two Ifo indicators, one on the current business situation, the other on current production development, provide information on revisions of German industrial production. A new feature of our...
Persistent link: https://www.econbiz.de/10013319230
This paper studies the information content of some Ifo indicators. In particular, we investigate whether two Ifo indicators, one on the current business situation, the other on current production development, provide information on revisions of German industrial production. A new feature of our...
Persistent link: https://www.econbiz.de/10002104666
This paper studies the information content of some Ifo indicators. In particular, we investigate whether two Ifo indicators, one on the current business situation, the other on current production development, provide information on revisions of German industrial production. A new feature of our...
Persistent link: https://www.econbiz.de/10011449259
estimation method for a high-dimensional VAR model. We apply the robust estimator to predicting large volatility matrices and … estimation and prediction methods. Using high-frequency trading data, we apply the proposed method to large volatility matrix …
Persistent link: https://www.econbiz.de/10013211439
Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from many limitations. HF data feature microstructure problem,...
Persistent link: https://www.econbiz.de/10011674479
estimation of the state vector and of the time-varying parameters. We use this method to study the timevarying relationship …
Persistent link: https://www.econbiz.de/10012156426
This paper introduces novel volatility diffusion models to account for the stylized facts of high-frequency financial data such as volatility clustering, intra-day U-shape, and leverage effect. For example, the daily integrated volatility of the proposed volatility process has a realized GARCH...
Persistent link: https://www.econbiz.de/10013405987