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catalog for locating contributions in research areas focusing on the theory and applications of combining forecasts. The …
Persistent link: https://www.econbiz.de/10010316480
This note provides a proof of Granger's (1986) error correction model for fractionally cointegrated variables and points out a necessary assumption that has not been noted before. Moreover, a simpler, alternative error correction model is proposed which can be employed to estimate fractionally...
Persistent link: https://www.econbiz.de/10010316487
In this paper business cycles are considered as a multivariate phenomenon and not as a univariate one determined e.g. by the GNP. The subject is to look for the number of phases of a business cycle, which can be motivated by the number of clusters in a given dataset of macro-economic variables....
Persistent link: https://www.econbiz.de/10010316497
Die finanzwirtschaftliche Bedeutung von Kreditausfällen und Kreditausfall- Prognosen bedarf keiner weiteren Begründung. Dieser Bedeutung angemessen, gibt es inzwischen eine Vielzahl von Modellen und Verfahren, die Ausfallwahrscheinlichkeiten von Bankkrediten oder Industrieanleihen zu...
Persistent link: https://www.econbiz.de/10010316501
We simulate forecast errors with different variance-covariance structures based on macroeconomic data. The simulations are used to compare the performance of different forecast combining techniques.
Persistent link: https://www.econbiz.de/10010316502
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Testing for unit roots has been among the most heavily researched topics in Econometrics for the last quarter of a century. Much less researched is the equally important issue of the appropriate transformation if any of the variable of interest which should preceed any such testing. In...
Persistent link: https://www.econbiz.de/10010316510
OLS is as efficient as GLS in the linear regression model with long-memory errors as the long-memory parameter approaches the boundary of the stationarity region_ provided the model contains a constant term. This generalizes previous results of Samarov Taqqu (Journal of Time Series Analysis 9...
Persistent link: https://www.econbiz.de/10010316518
We derive the probability limit of the standard Dickey-Fuller-test in the context of an exponential random walk. This result might be useful in interpreting tests for unit roots when the test is inadvertantly applied to the levels of the data when the true random walk is in the logs.
Persistent link: https://www.econbiz.de/10010316528