Abstract

Using Bayesian vector auto-regression methodology, we empirically analyze the dynamic responses of the exchange rate to sudden changes in net short term capital inflows, among other economic factors, in Kenya. Based on impulse response results, we find, rather surprisingly, that a sudden increase in net short term capital inflows immediately induces a depreciating effect which increases during the first two quarters upon which a correction ensues whereby the exchange rate appreciates for 4 quarters after which the effect dies off. We believe that the sudden net short term capital inflows are initially monetized thereby becoming a domestic nominal shock which causes a Dornbusch-like exchange rate overshooting. We also find that a sudden increase in interest rate differentials immediately causes an appreciating effect which dies off within a year. Furthermore, a sudden increase in interest rate differentials immediately attracts net short term capital inflows followed by persistent capital reversals within 2 quarters. The variance decomposition results show that, 71.4% of the one quarter-ahead and 54.2% of the four quarters-ahead exchange rate forecast errors are accounted for by the interest rate differentials. Net short term capital inflows' share in the one quarter ahead exchange rate forecast error is a mere 0.1%. At its best, it accounts for only 6.8% of the seven-to-eight quarters ahead exchange rate forecast errors. These results suggest that net short term capital inflows play a relatively limited role compared to interest rate differentials in determination of exchange rates dynamics in Kenya.

Highlights

  • The Bayesian vector auto-regressive (BVAR) model based on 3 lags is suited for the analysis because it is the one, among the 5 alternative model specifications based on lag length, in which short term capital flows provide the largest contribution of 7.16% to explaining observed fluctuations in the exchange rate

  • That suggests that the exchange rate equation in the BVAR model is fits the data very well and the results form a good basis for analyzing the relative importance of net short term capital flows in explaining historical exchange rate fluctuations

  • Using the Bayesian vector auto-regression methodology, we have empirically analyzed the dynamic response of the Kenya Shilling-USA Dollar exchange rate to sudden changes in net short term capital inflows

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Summary

Introduction

Interest in carrying out research on the implications of capital flows for currency exchange rates has been rekindled by observed and anticipated net capital flows between emerging and developing countries, and industrialized countries. Structural exchange rate misalignment, which is a price distortion, leads to resource misallocation within a country and across countries. This is well articulated in [1]. Excessive exchange rate volatility is an implicit tax on international business transactions and it has the potential of reducing the volume of international trade with adverse multiplier effects on sustainable economic and human development

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