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making and risk management. Over the past three decades there has been a trend towards increased asset return correlations … models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how … adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t …
Persistent link: https://www.econbiz.de/10013094817
We introduce a new hybrid approach to joint estimation of Value at Risk (VaR) and Expected Shortfall (ES) for high …
Persistent link: https://www.econbiz.de/10013155427
Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...
Persistent link: https://www.econbiz.de/10013055383
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...
Persistent link: https://www.econbiz.de/10013129859
This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance,...
Persistent link: https://www.econbiz.de/10013317072
use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio … management. Evaluation of volatility models is then considered and a simple Value-at-Risk (VaR) diagnostic test is proposed for …
Persistent link: https://www.econbiz.de/10013316571
For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this transformation is often considered to stabilize the variance of a series. We investigate under which conditions taking logs is beneficial for forecasting. Forecasts based on the...
Persistent link: https://www.econbiz.de/10012764276
This paper contributes to the on-going empirical debate regarding the role of the RBC model and in particular of technology shocks in explaining aggregate fluctuations. To this end we estimate the model's posterior density using Markov-Chain Monte-Carlo (MCMC) methods. Within this framework we...
Persistent link: https://www.econbiz.de/10013160381
Using a two-sector endogenous growth model, this paper explores how productivity shocks in the goods and human capital producing sectors contribute to explaining aggregate cycles in output, consumption, investment and hours. To contextualize our findings, we also assess whether the human capital...
Persistent link: https://www.econbiz.de/10013316363
Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...
Persistent link: https://www.econbiz.de/10010877728