Abstract

ABSTRACT: Exchange rate volatility is said to affect domestic investment in either direction. An increase in exchange rate volatility can affect domestic investment negatively since risks are higher, mostly due to volatile prices that are the results of exchange rate volatility. Most previous studies assumed that the response is symmetric. However, one study recently demonstrated that the effects of exchange rate volatility on domestic investment could be asymmetric. We add to this new asymmetry literature by assessing the short-run and long-run effects of exchange rate volatility on domestic investment in eight Asian countries. The linear Autoregressive Distributed Lag (ARDL) approach of Pesaran et al. (2001) is used to estimate the symmetric effects of exchange rate volatility on investment. We then follow Shin et al.’s (2014) approach of asymmetric cointegration and error-correction modelling to estimate asymmetric effects of exchange rate volatility on investment. The advantage of using both the approaches is that the variables could be a combination of I(0) and I(1), ruling out pre-unit root testing since these are the properties of almost all macroeconomic variables. Another advantage is that both approaches yield short-run and long-run results in one step. These advanced methods are applied to data from Hong Kong, Indonesia, Japan, South Korea, Malaysia, the Philippines, Singapore, and Thailand. We find that when a traditional linear and symmetric ARDL investment model was estimated for each of the eight countries in our sample, exchange rate volatility had a significant short-run effects on domestic investment in six countries. The short-run effects lasted into significant long-run effects only in the cases for Malaysia and Thailand. However, when a nonlinear model was estimated, the short-run asymmetric effects of volatility were found in all the eight countries. The short-run effects lasted into the long run only for Hong Kong, Indonesia, and Thailand. Clearly, more significant effects of exchange rate volatility were established by estimating a nonlinear model which must be attributed to the nonlinear adjustment of exchange rate volatility. These findings provide policy guidelines to investors in these countries as to how and in which direction exchange rate uncertainty will affect their investment decisions. They can then hedge against uncertain exchange rate volatility and maintain a stable investment environment.

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