國際金融專題一 研讀論文報告 Effects of Exchange Rate Volatility on Exports: Evidence from India 曾靜鈞 10592013.

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國際金融專題一 研讀論文報告 Effects of Exchange Rate Volatility on Exports: Evidence from India 曾靜鈞 10592013

Content Abstract/ Introduction Data & Methodology Empirical Results Conclusion

Abstract/ Introduction This study finds that there exists one co-integrating the relationship among exports, real exchange rate volatility and World GDP. India's export volume is positively related to the World GDP. India's export volume is negatively affected by its own real exchange rate volatility. The empirical results indicate that a moderation in the exchange rate volatility can increase the export volume in case of India.

This paper analyzes the long run relationship between India’s real exchange rate volatility and India’s exports. This will help us in understanding the relationship between home currency volatility on India’s exports. The paper is organized as follows. Section 2 describes the data and explains in details the methodology used in this study. Section 3 provides the empirical analysis carried out in this study and elaborately discusses the results. Section 4 provides conclusive remarks.

This study uses time series data This study uses time series data. To understand the long run relationship between India’s real exchange rate volatility on its own exports, annual time series data for the period from 1970-71 to 2010-11 is used. The sample is chosen due to the advent of floating exchange rate regime in 1973-74.

lnEXt=β0+β1lnYt+β2lnRERt+εt In this time series analysis, real export volume of India is used as a dependent variable and the exchange rate volatility of India and world GDP are used as independent variables. This study uses a simple time series model described as: lnEXt=β0+β1lnYt+β2lnRERt+εt Where, lnEXt represents the logarithm of real export of India at time t. Lent represents the logarithm of world GDP at time t. lnRERt represents real exchange rate volatility at time t.

Unit Root Test Johansen’s (1991, 1995) cointegration test warrants each series (in natural logs) is integrated of the same order. To do this we employed the standard Augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) tests and confirmed that each series is I (1) processed.

Results From the time series model, the results indicate a moderation in the exchange rate volatility can increase the export volume. So the Reserve Bank of India should consistently monitor the exchange rate volatility and try to moderate it whenever it breaches a particular level.

THANK YOU