Interest Rate Arbitrage in Currency Baskets: Forecasting Weights and Measuring Risk

When constructing hedged interest rate arbitrage portfolios for basket currencies, two issues arise: first, how are the unknown future basket weights optimally forecasted from past exchange rate data? And, second, how is risk-in terms of the conditional variance of expected profits from the interest rate arbitrage portfolio-appropriately measured when the basket weights are time-varying? Answers to these questions are provided within a time-varying parameter modeling framework estimated through the Kalman filter. An empirical application is devoted to the experience of the Thai baht currency basket (January 1992-February 1997).
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Volume/Issue: Volume 1999 Issue 016
Publication date: January 1999
ISBN: 9781451843385
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Business and Economics , Banks and Banking , Money and Monetary Policy , Public Finance , WP , exchange rate , U , S , dollar , Time-varying Parameters , Cointegration , Exchange Rates , basket weight , standard deviation , dollar rate , dollar exchange rate , intervention rate , Cointegrating regression , risk-adjusted return , cross-currency risk , Currencies , Hedging , Conventional peg , Public expenditure review

Summary

When constructing hedged interest rate arbitrage portfolios for basket currencies, two issues arise: first, how are the unknown future basket weights optimally forecasted from past exchange rate data? And, second, how is risk—in terms of the conditional variance of expected profits from the interest rate arbitrage portfolio—appropriately measured when the basket weights are time-varying? Answers to these questions are provided within a time-varying parameter modeling framework estimated through the Kalman filter. An empirical application is devoted to the experience of the Thai baht currency basket (January 1992–February 1997).