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of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which forecasting …
Persistent link: https://www.econbiz.de/10010326350
Many economic studies on inflation forecasting have found favorable results when inflation is modeled as a stationary … process around a slowly time-varying trend. In contrast, the existing studies on interest rate forecasting either treat yields … the problem of forecasting the term structure of interest rates with the assumption that the yield curve is driven by …
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-of-sample forecasting performance. Differences across countries are seemingly linked to market liquidity. The paper further finds that the …
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With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...
Persistent link: https://www.econbiz.de/10011604877
Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...
Persistent link: https://www.econbiz.de/10011605015
A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...
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We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models,...
Persistent link: https://www.econbiz.de/10008990694