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Conditional forecast selection from many forecasts: An application to the Yen/Dollar exchange rate

Kei Kawakami

Journal of the Japanese and International Economies, 2013, vol. 28, issue C, 1-18

Abstract: This paper proposes a new method for forecast selection from a pool of many forecasts. The method uses conditional information as proposed by Giacomini and White (2006). It also extends their pairwise switching method to a situation with many forecasts. I apply the method to the monthly yen/dollar exchange rate and show empirically that my method of switching forecasting models reduces forecast errors compared with a single model.

Keywords: Conditional predictive ability; Exchange rate; Forecasting; Forecast combinations; Model selection (search for similar items in EconPapers)
JEL-codes: C52 C53 F31 F37 (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jjieco:v:28:y:2013:i:c:p:1-18

DOI: 10.1016/j.jjie.2013.01.006

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