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-ante forecasting. In this paper we analyze the impact of exchange rate uncertainty on specific categories of exports and imports for 13 …. Parametric threshold models are found to outperform linear regression models in terms of fitting and ex-ante forecasting. In …
Persistent link: https://www.econbiz.de/10010296440
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/10010324578
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...
Persistent link: https://www.econbiz.de/10011605063
world market demand together with the level of exports constitute a significant cointegration relationship. A forecasting …
Persistent link: https://www.econbiz.de/10011968292
The recent implementation of the EU Emissions Trading Scheme (EU ETS) in January 2005 created new financial risks for emitting firms. To deal with these risks, options are traded since October 2006. Because the EU ETS is a new market, the relevant underlying model for option pricing is still a...
Persistent link: https://www.econbiz.de/10010279482
models (GARCH), which are widely used for forecasting non - stationary time series. GARCH methodology was discussed and non … forecasting model suitability for the analysed data. In the second part of the paper using discussed non - stationary time series … analysis methods stock exchange index volatility tendencies were explored, the best suited mathematical forecasting models were …
Persistent link: https://www.econbiz.de/10009478751
Currency exchange rate forecasting is a subject that concerns many parties that participate in foreign exchange market … significant variance equation coefficient and the lowest Schwartz Criterion value were selected for forecasting. One-step ahead …, out-of-sample forecasting was carried out for USD/EUR and GBP/JPY currency pairs. Forecasting results show that GARCH …
Persistent link: https://www.econbiz.de/10009478870
can be used in risk measurement and forecasting. Value at risk (VaR) is a widely used measure of financial risk, which … series analysis conducted and led to the forecasting of the returns. It was noted that these methods could not be used in … relation of assets with each other. Furthermore, we also examined the environment as a whole, then applied forecasting models …
Persistent link: https://www.econbiz.de/10013201223
This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M,...
Persistent link: https://www.econbiz.de/10010435583