Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/181523 
Year of Publication: 
2018
Series/Report no.: 
Beiträge zur Jahrestagung des Vereins für Socialpolitik 2018: Digitale Wirtschaft - Session: Forecasting II No. E05-V1
Publisher: 
ZBW - Leibniz-Informationszentrum Wirtschaft, Kiel, Hamburg
Abstract: 
This paper considers how an investor in foreign exchange markets might exploit predictive information in macroeconomic fundamentals by allowing for switching between multivariate time series regression models. These models are chosen to reflect a wide array of established empirical and theoretical stylized facts. In an application involving monthly exchange rates for seven countries, we find that an investor using our methods to dynamically allocate assets achieves significant gains relative to benchmark strategies. In particular, we find strong evidence for fast model switching, with most of the time only a small set of macroeconomic fundamentals being relevant for forecasting.
Subjects: 
Exchange rates
economic fundamentals
Bayesian vector autoregression
forecasting
dynamic portfolio allocation
JEL: 
C11
D83
F31
G12
G15
G17
Document Type: 
Conference Paper

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