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Volatility trade-offs in exchange rate target zones

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  • Lai, Ching-chong
  • Fang, Chung-rou
  • Chang, Juin-jen

Abstract

The volatility trade-offs (i.e. the negative relationships between exchange rate variability and the interest rate differential) exhibited in the Krugman [Krugman, P. (1991). Target zones and exchange rate dynamics. Quarterly Journal of Economics, 106, 669-682.] model depend on the assumption of uncovered interest rate parity (UIP). However, the bands for several economies in Latin America and Eastern Europe are substantially different from those within the European Monetary System (EMS), in that their parity relationship deviates from UIP and volatility trade-offs do not exist. This paper develops a graphical exposition and uses it to show that the degree of capital mobility may serve as a plausible vehicle to explain the empirical evidence found in Krugman's regime of exchange rate target zones. Based on a Fleming-type stochastic macro model, we find that when capital mobility is relatively low, exchange rate variability exhibits a positive relationship with the interest rate differential. This result can be regarded as a possible way of resolving the conflicting outcomes between Krugman's prediction and existing empirical observations.

Suggested Citation

  • Lai, Ching-chong & Fang, Chung-rou & Chang, Juin-jen, 2008. "Volatility trade-offs in exchange rate target zones," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 366-379.
    • Handle: RePEc:eee:reveco:v:17:y:2008:i:3:p:366-379
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    Cited by:

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    3. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate and Interest Rate Distribution and Volatility under the Portuguese Target Zone," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 261-282, September.
    4. Chen, Li-Ju & Ye, Chusheng & Hu, Shih-Wen & Wang, Vey & Wen, Jiandong, 2013. "The Effect of a Target Zone on the Stabilization of Agricultural Prices and Farmers' Nominal Income," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-14, April.
    5. Chen, Li-Ju & Hu, Shih-Wen & Wang, Vey & Wen, Jiandong & Ye, Chusheng, 2014. "The effects of purchasing and price subsidy policies for agricultural products under target zones," Economic Modelling, Elsevier, vol. 43(C), pages 439-447.
    6. Lo, C.F. & Hui, C.H. & Fong, T. & Chu, S.W., 2015. "A quasi-bounded target zone model — Theory and application to Hong Kong dollar," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 1-17.
    7. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2013. "Exchange Rate Target Zones: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 247-268, April.
    8. Lu, You-Xun, 2022. "The stabilizing effect of the zero lower bound: A perspective of interest rate target zones," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 61-67.
    9. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
    10. Alessandra Pasqualina Viola & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto & Wagner Piazza Gaglianone, 2017. "Predicting Exchange Rate Volatility in Brazil: an approach using quantile autoregression," Working Papers Series 466, Central Bank of Brazil, Research Department.

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