The Ripple Effect : Influence of Exchange Rate Volatility on Indian Sectoral Indices
DOI:
https://doi.org/10.17010/ijf/2024/v18i2/173519Keywords:
Foreign Exchange Rate
, Volatility, Sectoral Indices, GARCH, India.JEL Classifications Code
, F31, G10, G32, N20Paper Submission Date
, July 14, 2023, Paper sent back for Revision, November 25, Paper Acceptance Date, January 5, 2024, Paper Published Online, February 15, 2024Abstract
Purpose : The study aimed to analyze the spillover effect of foreign exchange rate volatility on the sectoral indices of India. The paper included five exchange rates (USD-INR, EURO-INR, GBP-INR, CNY-INR, and JPY-INR) and seven (automobile, banking, energy, FMCG, infrastructure, information & technology, and pharmaceutical) sectoral indices in this study.
Methodology : The study used the generalized autoregressive conditional heteroscedasticity (GARCH) (1,1) model for modeling volatility. T-GARCH model was used to estimate the leverage effect; and DCC-GARCH was used for analyzing the spillover effect of exchange rates on select sectoral indices.
Findings : The study found that leverage effect existed in all the series as the sum of α and λ of T-GARCH is less than 1, and the model was found acceptable. In the long-run, there was a spillover effect from all the exchange rates to all the sectoral indices. A short-run USD-INR spillover was observed on five sector indices, excluding banks and infrastructure. For every sectoral index, the DCC α of EURO-INR was determined to be negligible. Therefore, there was no transmission of short-term volatility from the EURO-INR to sectoral indices. Indexes of the FMCG, infrastructure, and IT sectors were not affected by the short-term volatility of the GBP-INR. DCC α and DCC β of CNY-INR were found to be significant for all the indices, which revealed transmission of information in the short-run as well as in the long-run. The three indices for which DCC α of JPY-INR was found insignificant are the bank, FMCG, and pharma sectors.
Implications : The results of this study shall aid policymakers and regulators in formulating investor-friendly rules and regulations to maintain a steady stock market. Prospective stakeholders shall also benefit from this research by using it to make reliable and well-informed investment decisions and portfolios. This study could be used as a reference document in other research and academic discussions as well.
Originality : Foreign exchange rates and sectoral indices, the focus of this study, have received relatively little attention in the literature despite the fact that research on stock markets has gained a lot of attention recently. This research will be a trailblazer in examining how fluctuations in foreign exchange rates impact India’s sectoral indexes.
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Aggarwal, S., & Khurana, S. (2018). Empirical examination of stock market volatility: An international comparison. Indian Journal of Finance, 12(1), 47–61. https://doi.org/10.17010/ijf/2018/v12i1/120741
Aksöz Yilmaz, H., & Güzel, F. (2021). How do the exchange rates affect the sector indices? A dynamic panel data analysis for Borsa Istanbul. İstanbul İktisat Dergisi, 71(2), 414–434. https://doi.org/10.26650/ISTJECON2021-970320
Black, F. (1976). The pricing of commodity contracts. Journal of Financial Economics, 3(1–2), 167–179. https://doi.org/10.1016/0304-405X(76)90024-6
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. https://doi.org/10.1016/0304-4076(86)90063-1
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(3), 157–176. https://doi.org/10.1023/A:1020945428824
Chaudhary, R., Bakhshi, P., & Gupta, H. (2020). Volatility in international stock markets: An empirical study during COVID-19. Journal of Risk and Financial Management, 13(9), 208. https://doi.org/10.3390/jrfm13090208
Chauque, D. F., & Rayappan, P. A. (2018). The impact of macroeconomic variables on stock market performance: A case of Malaysia. Edelweiss Applied Science and Technology, 2(1), 100–104. https://doi.org/10.33805/2576.8484.122
Das, J. P., & Kumar, S. (2023). Impact of corporate hedging practices on firm's value: An empirical evidence from Indian MNCs. Risk Management, 25(2), Article 10. https://doi.org/10.1057/s41283-023-00115-3
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(366), 427–431. https://doi.org/10.2307/2286348
Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. https://doi.org/10.2307/1912773
Engle, R. F., Lilien, D. M., & Robins, R. P. (1987). Estimating time varying risk premia in the term structure: The Arch-M model. Econometrica, 55(2), 391–407. https://doi.org/10.2307/1913242
Engle, R. F., Focardi, S. M., & Fabozzi, F. J. (2008). ARCH/GARCH models in applied financial econometrics. In, F. J. Fabozzi (ed.). Handbook of finance (pp. 689–701). Wiley. https://onlinelibrary.wiley.com/doi/10.1002/9780470404324.hof003060/abstract
He, P., Sun, Y., Zhang, Y., & Li, T. (2020). COVID–19's impact on stock prices across different sectors—An event study based on the Chinese stock market. Emerging Markets Finance and Trade, 56(10), 2198–2212. https://doi.org/10.1080/1540496X.2020.1785865
Kapoor, P., & Goel, S. (1990). Is mutual fund a prefered avenue for investments. ELK Asia Pacific Journals–Special Issue. https://dokumen.tips/documents/elk-asia-pacific-journals-special-issue-isbn-978-93-of-respondents-towards.html?page=1
Khanna, S., & Kumar, A. (2020). GARCH and TGARCH approach to information linkages. Indian Journal of Finance, 14(8-9), 35–51. https://doi.org/10.17010/ijf/2020/v14i8-9/154947
Matta, R., Kochhar, K., Mohapatra, A. K., & Mohanty, D. (2022). Board characteristics and risk disclosure quality by integrated reporters: Evidence from Indian Banks. Prabandhan: Indian Journal of Management, 15(5), 27–42. https://doi.org/10.17010/pijom/2022/v15i5/169579
Mohanty, D., Mohapatra, A. K., Tripathy, S., & Matta, R. (2023). Nexus between foreign exchange rate and stock market: Evidence from India. Investment Management and Financial Innovations, 20(3), 79–90. https://doi.org/10.21511/IMFI.20(3).2023.07
Oskooe, S. A. (2010). Emerging stock market performance and economic growth. American Journal of Applied Sciences, 7(2), 265–269. https://doi.org/10.3844/ajassp.2010.265.269
Pandey, A., & Mohapatra, A. K. (2017). Validation of fama French model in Indian capital market. International Journal of Economic Research, 14(2), 255–272. https://serialsjournals.com/abstract/71459_21.pdf
Pandey, A., Sehgal, S., Mohapatra, A. K., & Samanta, P. K. (2021). Equity market anomalies in major European economies. Investment Management and Financial Innovations, 18(2), 245–260. https://doi.org/10.21511/imfi.18(2).2021.20
Perumandla, S., & Kurisetti, P. (2018). Time-varying correlations, causality, and volatility linkages of Indian commodity and equity markets: Evidence from DCC - GARCH. Indian Journal of Finance, 12(9), 21–40. https://doi.org/10.17010/ijf/2018/v12i9/131558
Rai, K., & Garg, B. (2022). Dynamic correlations and volatility spillovers between stock price and exchange rate in BRIICS economies: Evidence from the COVID-19 outbreak period. Applied Economics Letters, 29(8), 738–745. https://doi.org/10.1080/13504851.2021.1884835
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(4), 443–459. https://doi.org/10.1504/AAJFA.2014.067017
Reddy, R. V., Nayak, R., Nagendra, S., & Ashwith. (2019). Impact of macro - economic factors on Indian stock market- A research of BSE sectoral indices. International Journal of Recent Technology and Engineering, 8(2S7), 597–602. https://doi.org/10.35940/ijrte.B1110.0782S719
Rezitis, A. N., & Stavropoulos, K. S. (2011). Price volatility and rational expectations in a sectoral framework commodity model: A multivariate GARCH approach. Agricultural Economics, 42(3), 419–435. https://doi.org/10.1111/j.1574-0862.2010.00521.x
Sikarwar, E., & Gupta, R. (2019). Economic exposure to exchange rate risk and financial hedging: Influence of ownership as a governance mechanism. Journal of Economic Studies, 46(4), 965–984. https://doi.org/10.1108/JES-10-2017-0286
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), Article 2250018. https://doi.org/10.1142/S201049522250018X
Singhal, S., Choudhary, S., & Biswal, P. C. (2019). Return and volatility linkages among international crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico. Resources Policy, 60, 255–261. https://doi.org/10.1016/j.resourpol.2019.01.004
Sugiharti, L., Esquivias, M. A., & Setyorani, B. (2020). The impact of exchange rate volatility on Indonesia's top exports to the five main export markets. Heliyon, 6(1), E03141. https://doi.org/10.1016/j.heliyon.2019.e03141
Tang, B. (2015). Exchange rate exposure of Chinese firms at the industry and firm level. Review of Development Economics, 19(3), 592–607. https://doi.org/10.1111/rode.12162
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. https://doi.org/10.1149/10701.18593ecst
Yadav, M. P., Sharma, S., & Bhardwaj, I. (2023). Volatility spillover between Chinese stock market and selected emerging economies: A dynamic conditional correlation and portfolio optimization perspective. Asia-Pacific Financial Markets, 30(2), 427–444. https://doi.org/10.1007/s10690-022-09381-9
Yadav, S. (2016). Integration of exchange rate and stock market: Evidence from the Indian stock market. Indian Journal of Finance, 10(10), 56–63. https://doi.org/10.17010/ijf/2016/v10i10/103015
Zarei, A., Ariff, M., & Bhatti, M. I. (2019). The impact of exchange rates on stock market returns: New evidence from seven free-floating currencies. The European Journal of Finance, 25(14), 1277–1288. https://doi.org/10.1080/1351847X.2019.1589550
Zheng, J., Li, Z., Ghardallou, W., & Wei, X. (2023). Natural resources and economic performance: Understanding the volatilities caused by financial, political and economic risk in the context of China. Resources Policy, 84, 103697. https://doi.org/10.1016/j.resourpol.2023.103697
