The use of futures instead of forwards exchange contracts completes the ma-turity spectrum of the correlation between spot yields and the premium. Wefind that the forward premium puzzle appears to be a precrisis phenomenonand is only observed for maturities longer than about 1 month....

This paper develops a dynamic portfolio selection model incorporating economic uncertainty for business cycles. It is assumed that the financial market at each point in time is defined by a hidden Markov model, which is characterized by the overall equity market returns and volatility. The risk...

Diese Arbeit untersucht die empirische Relevanz des Monetären Modells für die Erklärung des DM/Dollar-Wechselkurses. Dabei zeigt sich, daß der in der neueren empirischen Literatur übliche Testansatz (reduced form approach) zu unplausiblen Parameterrestriktionen und zu ineffizienten...

A practice that has become widespread and widely endorsed is that of evaluating forecasts of financial variability obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on continuous time theory. In explanatory financial...

This paper reports a study on the causal dynamics between spot oil price, exchange rates, and stock prices in Poland, the Czech Republic, Hungary, Romania, and Serbia. The results are compared with a benchmark analysis in which U.S. monthly data are used, and time periods are selected according...

Information about the possibilities of changes in national and international macroeconomic variables affects the expectations and behavior of individuals and firms more quickly than real changes in those macroeconomic variables. In this research, we investigate the impacts of international...

We used panel data analysis to evaluate the relative purchasing power parity (PPP) hypothesis of the ten ASEAN member countries between 1973 and 2015. We incorporated the cross-sectionally augmented panel unit root test as proposed by Pesaran (J Appl Econ 22:265-312, 2007). For panel...

We propose a novel approach that combines random forests and the wavelet transform to model the prediction of currency crises. Our classification model of random forests, built using both standard predictors and wavelet predictors, and obtained from the wavelet transform, achieves a demonstrably...