Nexus between foreign exchange rate and stock market: evidence from India
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DOIhttp://dx.doi.org/10.21511/imfi.20(3).2023.07
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Article InfoVolume 20 2023, Issue #3, pp. 79-90
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This study examines the impact of foreign exchange rate fluctuations on various NSE capitalized indices of India. Five exchange rates were chosen based on trading contracts in the currency derivative segment of NSE. These exchange rates are US Dollar-Indian Rupee (USD/INR), Euro-Indian Rupee (EUR/INR), Great Britain Pound-Indian Rupee (GBP/INR), Chinese Yuan-Indian Rupee (CNY/INR) and Japanese Yen-Indian Rupee (JPY/INR), which are used as a regressor in this study. The data of NSE Nifty large-cap 100, Nifty mid-cap 100 and Nifty small-cap from December 1, 2012 to December 1, 2022 was considered for the study. GARCH (1, 1) model was used to analyze the nexus between exchange rate fluctuations and capitalized indices, and it was further validated by DCC GARCH to evaluate the volatility spillover. The result shows that exchange rate fluctuations have a positive effect on stock market volatility along with a varying degree of incidence on small-cap, mid-cap, and large-cap. DCC α has been found to be significant in USD & GBP for small-cap, and GBP & CNY for mid-cap. On the other hand, USD, Euro, CNY and JPY have a significant impact on the large-cap index in the short-run. Further, it is found that there is long-run spillover effect (DCC β) of exchange rates on all capitalized indices of the Indian stock market, and it is highest in in the large-cap case.
- Keywords
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JEL Classification (Paper profile tab)F31, G10, G32, N20
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References40
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Tables11
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Figures1
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- Figure 1. Time series plot of all the indices
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- Table 1. Market capitalization
- Table 2. Descriptive statistics
- Table 3. Unit root test results
- Table 4. ARCH L-M test
- Table 5. GARCH test
- Table 6. TGARCH
- Table 7. GARCH model of small-cap and exchange rate as a regressor
- Table 8. GARCH model of mid cap and exchange rate as a regressor
- Table 9. GARCH model of large cap and exchange rate as a regressor
- Table 10. ARCH L-M diagnostic test
- Table 11. Dynamic conditional correlation parameters
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- Aftab, M., Ahmad, R., Ismail, I., & Phylaktis, K. (2021). Economic integration and the currency and equity markets nexus. International Journal Financial Economics, 26(4), 5278-5301.
- Akaike, H. (1974). Stochastic theory of minimal realization. IEEE Transactions on Automatic Control, 19(6), 667-674.
- Amado, A., & Choon, L., M. (2020). Impact of Changes in Exchange Rate on Stock Market: An Empirical Evidence from Indonesia, International Journal of Applied Economics, Finance and Accounting, 7(1), 24-31.
- Ang, B. W., & Liu. N. (2007). Negative-value problems of the logarithmic mean Divisia index decomposition approach. Energy Policy, 35, 739-742.
- Anyanwu, F. A., Ananwude, C. A., & Okoye, T. N. (2017). Exchange rate policy and Nigeria’s economic growth: A granger causality impact assessment. International Journal of Applied Economics Finance and Accounting, 1, 1-13.
- Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
- Brooks, C., & Rew, A.G. (2002). Testing for a Unit Root in a Process Exhibiting a Structural Break in the Presence of GARCH Errors. Computational Economics, 20, 157-176.
- Chang, B. Y., Peter, C., & Jacobs, K. (2013). Market skewness risk and the cross section of stock returns. Journal of Financial Economics, 107, 46-68.
- Chen, Z. (2022). The impact of trade and financial expansion on volatility of real exchange rate. PLoS One. 17(1), e0262230.
- Devereux, M. B., & Engel. C. (2003). Monetary policy in the open economy revisited: Price setting and exchange-rate flexibility. The Review of Economic Studies, 70, 765-783.
- Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
- Dixit, R, K., & Robert S. P. (1994). Investment under Uncertainty. Princeton: Princeton University Press.
- Eaton, J., Samuel, K., Brent, N., & John, R. (2016). Trade and the Global Recession. American Economic Review, 106(11), 3401-38.
- Fernande, E. M., de Prince, D., Zimmermann, B., Merlin, G., & Simões, O. (2020). Assessing global economic activity linkages: The role played by United States, Germany and China. Economia, 21(1), 38-56.
- Fletcher, J., & Joseph, K. (2005). An examination of alternative CAPM-based models in UK stock returns. Journal of Banking Finance, 29, 2995-3014.
- Fukuda, S., & Kon, Y. (2010). Macroeconomic Impacts of Foreign Exchange Reserve Accumulation: Theory and International Evidence (ADBI Working Paper 197, pp. 1-22.). Tokyo: Asian Development Bank Institute.
- Glosten, L. R., Ravi J, & David E. R. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. The Journal of Finance, 48, 1779-1801.
- Green, T. C., & Figlewski, F. (1999). Market risk and model risk for a financial institution writing options. The Journal of Finance, 54, 1465-1499.
- Gokmenoglu, K., Eren, B., M., & Hesami, S. (2021). Exchange rates and stock markets in emerging economies: new evidence using the Quantile-on-Quantile approach. Quantitative Finance and Economics, 5(1), 94-110.
- Gupta, L., Mohapatra, A. K., & Maurya, S. (2020). Long-run Operating Performance of Firms and IPO Underpricing: Evidences from India. Empirical Economics Letters, 19(8), 871-882.
- Jarque, C. M., & Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255-259.
- Jyoti. (2021). Impact of Exchange Rate Fluctuations on India’s Manufacturing Exports: An Empirical Investigation on Long-Run Relation. Journal of Asian Economic Integration, 3(1), 61-73.
- Liao, Z., Wang, Z., Guo, K. (2019). The dynamic evolution of the characteristics of exchange rate risks in countries along ‘The belt and road’ based on network analysis. PLoS One, 14(9), e0221874.
- Mahapatra, S., & Bhaduri, S. N. (2019). Dynamics of the impact of currency fluctuations on stock markets in India: Assessing the pricing of exchange rate risks. Borsa Istanbul Review, 19(1), 15-23.
- Mei, D., Liu, J., Ma, J., & Chen, W. (2017). Forecasting stock market volatility: Do realized skewness and kurtosis help? Physica – A Statistical Mechanics and Its Applications, 481, 153-159.
- Mohanty, D., Khan, J. S., & Mohapatra, S. R. (2021). Impact of Macroeconomic Variables on Indian Stock Market. Empirical Economics Letters, 20, 27-36.
- Obstfeld, M., & Kenneth, R. (1998). Risk and exchange rates. National Bureau of Economic Research.
- Oskooe, S. A. (2010). Emerging stock market performance and economic growth. American Journal of Applied Sciences, 7(2), 265.
- Pandey, A., & Mohapatra, A. K. (2017). Validation of Fama-French model in Indian capital market. International Journal of Economic Research, 14(2), 255-272.
- Rastogi, S. (2014). The financial crisis of 2008 and stock market volatility–analysis and impact on emerging economies pre and post crisis. Afro-Asian Journal of Finance and Accounting, 4, 443-59.
- Singh, A. K., Maurya, S., & Mohapatra, A. K. (2019). IPO underpricing and predictive power of board related corporate governance mechanisms: A study of Indian IPO market. Theoretical Economics Letters, 9(6), 2002-2018.
- Singh, A. K., Shrivastav, R., K., & Mohapatra, A., K. (2022). Dynamic Linkages and Integration among Five Emerging BRICS Markets: Pre- and Post-BRICS Period Analysis. Annals of Financial Economics, 17(3), 1-36.
- Suriani, S., Kumar, D., M., Jamil, F., & Muneer, S. (2015). Impact of Exchange Rate on Stock Market. International Journal of Economics and Financial Issues, 5(Special Issue), 385-388.
- Teplova, T., & Evgeniya, S. (2011). A higher moment downside framework for conditional and unconditional CAPM in the Russian stock market. Eurasian Economic Review, 1, 157-178.
- Thadewald, T., & Herbert, B. (2007). Jarque–Bera test and its competitors for testing normality - A power comparison. Journal of Applied Statistics, 34, 87-105.
- Tran, O., & Nguyen, H. (2022). The interdependence of gold, US dollar and stock market in the context of COVID-19 pandemic: an insight into analysis in Asia and Europe. Cogent Economics & Finance, 10.
- Tripathi, V., & Kumar, A. (2015). Do macroeconomic variables affect stock returns in BRICS markets? An ARDL approach. Journal of Commerce & Accounting Research, 4(2).
- Vikram, I., Hotwan, A., & Mohanty, D. (2022). Comparison of International Stock Market Volatility: An Empirical Analysis during Economic Crisis 2008 and COVID-19. ECS Transactions, 107(1), 18593.
- Wong, H. T. (2022). The impact of real exchange rates on real stock prices. Journal of Economics, Finance and Administrative Science, 27(54), 262-276.
- Zhou, D., He, Y., Hong, L., & Liu, Y. (2014). Empirical analysis of spillover effects between China’s financial markets based on five-variable VAR-GARCH-BEKK model, International Journal of Applied Systemic Studies, 5(4), 262-275.