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forecasting the term structure of interest rates. As expected, I find that using more flexible models leads to a better in …
Persistent link: https://www.econbiz.de/10011372504
wholesale power markets have only recently been deregulated. We introduce the weather factor into well-known forecasting models …
Persistent link: https://www.econbiz.de/10011372511
We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...
Persistent link: https://www.econbiz.de/10011373811
explores various specifications of decompositions and various forecasting experiments. The result from these horse-races is … for richer forecasting specifications, the paper shows, using Bayesian model averaging techniques (BMA), that the …
Persistent link: https://www.econbiz.de/10011378362
variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …
Persistent link: https://www.econbiz.de/10011303289
In this paper we present an exact maximum likelihood treatment forthe estimation of a Stochastic Volatility in Mean(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable in the mean equation. The same extension...
Persistent link: https://www.econbiz.de/10011303314
returns and intradaily squared returns for forecasting horizons rangingfrom 1 to 10 days. For the daily squared returns we …
Persistent link: https://www.econbiz.de/10011304384
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