Abstract

AbstractWe examine the potential gains of using exchange rate forecast models and forecast combination methods in the management of currency portfolios for three exchange rates: the euro versus the US dollar, the British pound, and the Japanese yen. We use a battery of econometric specifications to evaluate whether optimal currency portfolios implied by trading strategies based on exchange rate forecasts outperform single currencies and the equally weighted portfolio. We assess the differences in profitability of optimal currency portfolios for different types of investor preferences, two trading strategies, mean squared error‐based composite forecasts, and different forecast horizons. Our results indicate that there are clear benefits of integrating exchange rate forecasts from state‐of‐the‐art econometric models in currency portfolios. These benefits vary across investor preferences and prediction horizons but are rather similar across trading strategies.

Highlights

  • Foreign exchange risk is omnipresent in international portfolio diversification, but forecasting exchange rates is well known to be a difficult task

  • We provide an evaluation framework where we take the perspective of a currency portfolio manager who follows trading strategies based on exchange rate forecasts and whose main goal is to maximize profits, under certain types of preferences

  • In order to assess whether exchange rate forecasts based on macroeconomic fundamentals improve the profitability of currency portfolios, we investigate the performance of currency portfolios of returns implied by two strategies described above, which exploit the potential predictability of exchange rate changes

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Summary

INTRODUCTION

Foreign exchange risk is omnipresent in international portfolio diversification, but forecasting exchange rates is well known to be a difficult task. We provide an evaluation framework where we take the perspective of a currency portfolio manager (investor) who follows trading strategies based on exchange rate forecasts and whose main goal is to maximize (risk-adjusted) profits, under certain types of preferences. Unlike our study, Burnside et al (2008) do not test the statistical significance of the portfolio outperformance with respect to the single-currency-based asset While they use a simple, weighted portfolio, we take the investor's preferences into account explicitly and optimize the portfolio according to these preferences. Another fundamental difference with respect to their work is that we include exchange rate forecasts in the definition of our trading strategies with the aim of improving their performance.

Exchange rate specifications
Forecast combinations
Predictive accuracy
Optimal portfolios
Performance measures
Break-even transaction costs
EMPIRICAL RESULTS
A snapshot example
Single assets and portfolio composition
Bootstrap analysis
Optimal portfolios across investors and trading strategies
Main results for the forecast horizons of 6 and 12 months
Summary and stylized facts
CONCLUSION
Full Text
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