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Persistent link: https://www.econbiz.de/10011091715
Many researchers use GARCH models to generate volatility forecasts. We show, however, that such forecasts are too variable. To correct for this, we extend the GARCH model by distinguishing two regimes with different volatility levels. GARCH effects are allowed within each regime, so that our...
Persistent link: https://www.econbiz.de/10011090288
Most economists intuitively consider purchasing power parity (PPP) to be true. Nevertheless, quite surprisingly, the empirical literature is not very supportive for PPP. In this paper, however, we find evidence in favor of PPP using a new test. The test is embedded in a Markov regime-switching...
Persistent link: https://www.econbiz.de/10011090364
Timmermann (1994) to stock market forecasting, and show that their proposed recursive predictions are much less robust than naive …
Persistent link: https://www.econbiz.de/10011091069
The random walk is often used to model exchange rates. According to the Lucas critique, however, policy shifts may lead to breaks in the trend of exchange rates and hence to long swings. We use a Markov regime-switching model to allow for such swings and we reject the random walk in favor of the...
Persistent link: https://www.econbiz.de/10011092028
central bank has imperfect knowledge and has to learn the private sector forecasting rule for short-term interest rates.In the …
Persistent link: https://www.econbiz.de/10011092574
Persistent link: https://www.econbiz.de/10011090361
Persistent link: https://www.econbiz.de/10011091359
In this paper we propose consistent cointegration tests, and estimators of a basis of the space of cointegrating vectors, that do not need specification of the data-generating process, apart from some mild regularity conditions, or estimation of structural and/or nuisance parameters. This...
Persistent link: https://www.econbiz.de/10011091794
We propose a class of distribution-free rank-based tests for the null hypothesis of a unit root. This class is indexed by the choice of a reference density g, which needs not coincide with the unknown actual innovation density f. The validity of these tests, in terms of exact finite sample size,...
Persistent link: https://www.econbiz.de/10011092415