Showing 1 - 10 of 22
Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that …. Therefore, we extend standard Bayesian learning allowing traders to infer news' precision from two different sources. If … learning ; information quality ; precision signals ; macroeconomic announcements …
Persistent link: https://www.econbiz.de/10003693046
Bayesian learning provides the core concept of processing noisy information. In standard Bayesian frameworks, assessing … dis- closed. Therefore, we extend standard Bayesian learning, suggesting traders infer news' precision from magnitudes of …'s predictions and show that the effects are statistically and economically significant. -- Bayesian Learning ; Macroeconomic …
Persistent link: https://www.econbiz.de/10003831212
Bayesian learning provides the core concept of information processing in financial markets. Typically, it is assumed … disclosed. Therefore, we extend standard Bayesian learning, suggesting traders infer news' precision from two different sources …' precision. -- Bayesian learning ; information quality ; precision signals ; macroeconomic announcements …
Persistent link: https://www.econbiz.de/10003761197
relations and cross-dependencies between the individual variables. This confirms economic theory and suggests more parsimonious …
Persistent link: https://www.econbiz.de/10003634717
We introduce a Nelson-Siegel type interest rate term structure model with the underlying yield factors following autoregressive processes revealing time-varying stochastic volatility. The factor volatilities capture risk inherent to the term struc- ture and are associated with the time-varying...
Persistent link: https://www.econbiz.de/10003770770
In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...
Persistent link: https://www.econbiz.de/10003770817
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003893144
We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...
Persistent link: https://www.econbiz.de/10003909174
This paper provides theory as well as empirical results for pre-averaging estimators of the daily quadratic variation …
Persistent link: https://www.econbiz.de/10008663394
This paper provides theory as well as empirical results for pre-averaging estimators of the daily quadratic variation …
Persistent link: https://www.econbiz.de/10008697981