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Vector autoregressions have steadily gained in popularity since their introduction in econometrics 25 years ago. A drawback of the otherwise fairly well developed methodology is the inability to incorporate prior beliefs regarding the system's steady state in a satisfactory way. Such prior...
Persistent link: https://www.econbiz.de/10005649059
of these techniques does not respect the agnosticism of the theory. These algorithms impose additional sign restrictions … agnosticism of the theory. Without the additional restrictions, it is hard to support the claim that either optimism shocks are an …
Persistent link: https://www.econbiz.de/10010942904
The structural vector autoregression (SVAR) has become a central tool for research in empirical macroeconomics. Because the vast majority of these models are exactly identified, researchers have traditionally relied upon the informal use of prior information to compare alternative...
Persistent link: https://www.econbiz.de/10005556303
Inflation has proven to be an important obstacle to successful economic adjustment in many countries. Despite both internal and external shocks to the economy, Mozambique has succeeded in controlling the inflation to gain high economic growth. This paper provides an econometric analysis of the...
Persistent link: https://www.econbiz.de/10010818753
This paper concentrates on describing the available empirical findings on monetary policy transmission in the Czech Republic. Besides the overall impact of monetary policy on inflation and output, it is useful to study its individual channels, in particular the interest rate channel, the...
Persistent link: https://www.econbiz.de/10010833277
Stock markets employ specialized traders, market-makers, designed to provide liquidity and volume to the market by constantly supplying both supply and demand. In this paper, we demonstrate a novel method for modeling the market as a dynamic system and a reinforcement learning algorithm that...
Persistent link: https://www.econbiz.de/10012723655
The predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models...
Persistent link: https://www.econbiz.de/10010986379
This paper proposes a Bayesian nonparametric modeling approach for the return distribution in multivariate GARCH models. In contrast to the parametric literature the return distribution can display general forms of asymmetry and thick tails. An infinite mixture of multivariate normals is given a...
Persistent link: https://www.econbiz.de/10010850125
Recent economic developments have shown the importance of spillover and contagion effects in financial markets. Such effects are not limited to relations between the levels of financial variables but also impact on their volatility. I investigate Granger causality in conditional mean and...
Persistent link: https://www.econbiz.de/10010862110
Spillover and contagion effects have gained significant interest in the recent years of financial crisis. Attention has not only been directed to relations between returns of financial variables, but to spillovers in risk as well. I use the family of Constant Conditional Correlation GARCH models...
Persistent link: https://www.econbiz.de/10010862112