Forecasting exchange rates out-of-sample with panel methods and real-time data

Onur Ince ()

Journal of International Money and Finance, 2014, vol. 43, issue C, 1-18

Abstract: This paper evaluates out-of-sample exchange rate forecasting with Purchasing Power Parity (PPP) and Taylor rule fundamentals for 9 OECD countries vis-à-vis the U.S. dollar over the period from 1973:Q1 to 2009:Q1 at short and long horizons. In contrast with previous work, which reports “forecasts” using revised data, I construct a quarterly real-time dataset that incorporates only the information available to market participants when the forecasts were made. Using bootstrapped out-of-sample test statistics, the exchange rate model with Taylor rule fundamentals performs better at the one-quarter horizon and panel estimation is not able to improve its performance. The PPP model, however, forecasts better at the 16-quarter horizon and its performance increases in panel framework. The results are in accord with previous research on PPP and Taylor rule models.

Keywords: Exchange rate forecasting; Taylor rules; Real-time data; Out-of-sample test Statistics (search for similar items in EconPapers)
JEL-codes: C23 C53 E32 E52 F31 F47 (search for similar items in EconPapers)
Date: 2014
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Working Paper: Forecasting Exchange Rates Out-of-Sample with Panel Methods and Real-Time Data (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jimfin:v:43:y:2014:i:c:p:1-18

DOI: 10.1016/j.jimonfin.2013.12.004

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