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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

Stock Market Volatility Due to Cross-Listing of Tradable Assets

Aditya Keshari1,  Amit Gautam2

1 Doctoral Fellow, Institute of Management Studies, Banaras Hindu University, Lanka, Varanasi - 221 005, Uttar Pradesh

2 Professor, Institute of Management Studies, Banaras Hindu University, Lanka, Varanasi - 221 005, Uttar Pradesh

Volume 17
Issue 9
Pages 58–71
Year 2023
Received: Oct. 5, 2022 Accepted: July 10, 2023 Published: Sept. 1, 2023
Abstract

Purpose: The study analyzed the return and volatility spillover among the Indian and overseas stock markets, namely Luxembourg, the United States, and the United Kingdom, where the assets are cross-listed. The increased worry of investors, regulators, and dealers about stock market volatility produced by worldwide integrated stock trading has focused on the symmetric and asymmetric volatility caused by the cross-listing of tradable assets that has damaged the domestic stock market.

Methodology: The analysis for the study incorporated the longitudinal time series of daily closing prices from January 01, 2011, to December 31, 2021, of the sample indices taken from the Bloomberg terminal. The study used GARCH, EGARCH, and PARCH models to analyze the return and volatility spillover among the Indian and cross-listed stock markets.

Findings: The findings indicated that prior index return volatility was significant and impacted current index return volatility. The findings also suggested that volatility exhibited asymmetric behavior, with positive shocks to volatility having different impacts than adverse shocks. The Luxembourg Stock Exchange was negligible in all models, implying it is exogenous.Practical

Implications: It was suggested that investors use information from another market to forecast the behavior of one market. The current analysis supported this assumption by demonstrating the market dominance of the United States. By focusing on market activity in the United States, preventative measures could be taken to minimize worldwide shocks.

Originality: The present study incorporated the impact of cross-listing of tradable assets and volatility, which was yet to be investigated earlier despite cross-listing being an essential aspect of the spillover effect.

Keywords cross-listing spillover effect stock market volatility tradable assets JEL Classification
How to Cite

Aditya Keshari, Amit Gautam (2023). Stock Market Volatility Due to Cross-Listing of Tradable Assets. Indian Journal of Finance, 17(9), 58–71. https://doi.org/10.17010/ijf/2023/v17i9/173184

References
  1. Alpanda, S., & Kabaca, S. (2020). International spillovers of large-scale asset purchases. Journal of the European Economic Association, 18(1), 342–391. https://doi.org/10.1093/jeea/jvy053
  2. Baek, S., Mohanty, S. K., & Glambosky, M. (2020). COVID-19 and stock market volatility: An industry level analysis. Finance Research Letters, 37, 101748. https://doi.org/10.1016/j.frl.2020.101748
  3. Bakry, W., Kavalmthara, P. J., Saverimuttu, V., Liu, Y., & Cyril, S. (2022). Response of stock market volatility to COVID-19 announcements and stringency measures: A comparison of developed and emerging markets. Finance Research Letters, 46(Part A), 102350. https://doi.org/10.1016/j.frl.2021.102350
  4. Chun, D., Cho, H., & Ryu, D. (2020). Economic indicators and stock market volatility in an emerging economy. Economic Systems, 44(2), 100788. https://doi.org/10.1016/j.ecosys.2020.100788
  5. Curto, J. D., & Serrasqueiro, P. (2022). The impact of COVID-19 on S&P500 sector indices and FATANG stocks volatility: An expanded APARCH model. Finance Research Letters, 46(Part A), 102247. https://doi.org/10.1016/j.frl.2021.102247
  6. Dikshita, & Singh, H. (2019). Estimating and forecasting volatility using ARIMA model: A study on NSE, India. Indian Journal of Finance, 13(5), 37–51. https://doi.org/10.17010/ijf/2019/v13i5/144184
  7. Dou, W. W., & Verdelhan, A. (2015). The volatility of international capital flows and foreign assets. September. http://web.mit.edu/adrienv/www/.Theauthorsthank
  8. El Hedi Arouri, M., Rault, C., Sova, A., Sova, R., & Teulon, F. (2013). Market structure and the cost of capital. Economic Modelling, 31, 664–671. https://doi.org/10.1016/j.econmod.2013.01.004
  9. Errunza, V. R., & Miller, D. P. (2000). Market segmentation and the cost of the capital in international equity markets. Journal of Financial and Quantitative Analysis, 35(4), 577–600. https://doi.org/10.2307/2676256
  10. Gherghina, Ș. C., Armeanu, D. Ș., & Joldeș, C. C. (2021). COVID-19 pandemic and Romanian stock market volatility: A GARCH approach. Journal of Risk and Financial Management, 14(8), 341. https://doi.org/10.3390/jrfm14080341
  11. Hanif, W., Mensi, W., & Vo, X. V. (2021). Impacts of COVID-19 outbreak on the spillovers between US and Chinese stock sectors. Finance Research Letters, 40, 101922. https://doi.org/10.1016/j.frl.2021.101922
  12. Haritha, P. H., & Rishad, A. (2020). An empirical examination of investor sentiment and stock market volatility: Evidence from India. Financial Innovation, 6(1), Article 34. https://doi.org/10.1186/s40854-020-00198-x
  13. Idrees, S. M., Alam, M. A., & Agarwal, P. (2019). A prediction approach for stock market volatility based on time series data. IEEE Access, 7, 17287–17298. https://doi.org/10.1109/ACCESS.2019.2895252
  14. Jebran, K., & Iqbal, A. (2016a). Dynamics of volatility spillover between stock market and foreign exchange market: Evidence from Asian countries. Financial Innovation, 2(1), Article 3. https://doi.org/10.1186/s40854-016-0021-1
  15. Jebran, K., & Iqbal, A. (2016b). Examining volatility spillover between Asian countries' stock markets. China Finance and Economic Review, 4(1), Article 6. https://doi.org/10.1186/s40589-016-0031-1
  16. Joshi, P. (2011). Return and volatility spillovers among Asian stock markets. SAGE Open, 1(1). https://doi.org/10.1177/2158244011413474
  17. 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
  18. Kumar, A., & Khanna, S. (2018). GARCH - BEKK approach to volatility behavior and spillover : Evidence from India, China, Hong Kong, and Japan. Indian Journal of Finance, 12(4), 7–19. https://doi.org/10.17010/ijf/2018/v12i4/122791
  19. Kumar, S., Pradhan, A. K., Tiwari, A. K., & Kang, S. H. (2019). Correlations and volatility spillovers between oil, natural gas, and stock prices in India. Resources Policy, 62, 282–291. https://doi.org/10.1016/j.resourpol.2019.04.004
  20. Kusumahadi, T. A., & Permana, F. C. (2021). Impact of COVID-19 on global stock market volatility. Journal of Economic Integration, 36(1), 20–45. https://doi.org/10.11130/jei.2021.36.1.20
  21. Li, H. (2019). Direct overseas listing versus cross-listing: A multivalued treatment effects analysis of Chinese listed firms. International Review of Financial Analysis, 66, 101391. https://doi.org/10.1016/j.irfa.2019.101391
  22. Li, T., Ma, F., Zhang, X., & Zhang, Y. (2020). Economic policy uncertainty and the Chinese stock market volatility: Novel evidence. Economic Modelling, 87, 24–33. https://doi.org/10.1016/j.econmod.2019.07.002
  23. Li, W., Chien, F., Kamran, H. W., Aldeehani, T. M., Sadiq, M., Nguyen, V. C., & Taghizadeh- Hesary, F. (2022). The nexus between COVID-19 fear and stock market volatility. Economic Research-Ekonomska Istraživanja, 35(1), 1765–1785. https://doi.org/10.1080/1331677X.2021.1914125
  24. Liang, C., Tang, L., Li, Y., & Wei, Y. (2020). Which sentiment index is more informative to forecast stock market volatility? Evidence from China. International Review of Financial Analysis, 71, 101552. https://doi.org/10.1016/j.irfa.2020.101552
  25. Liu, F., Umair, M., & Gao, J. (2023). Assessing oil price volatility co-movement with stock market volatility through quantile regression approach. Resources Policy, 81, 103375. https://doi.org/10.1016/j.resourpol.2023.103375
  26. Lv, W., & Li, B. (2023). Climate policy uncertainty and stock market volatility: Evidence from different sectors. Finance Research Letters, 51, 103506. https://doi.org/10.1016/j.frl.2022.103506
  27. Mishra, A. (2019). Foreign exchange, gold, and real estate markets in India: An analysis of return volatility and transmission. Indian Journal of Finance, 13(7),50–64. https://doi.org/10.17010/ijf/2019/v13i7/145535
  28. Mukherjee, K. N., & Mishra, R. K. (2010). Stock market integration and volatility spillover: India and its major Asian counterparts. Research in International Business and Finance, 24(2), 235–251. https://doi.org/10.1016/j.ribaf.2009.12.004
  29. Myers, J. L., Well, A. D., & Lorch Jr., R. F. (2010). Research design and statistical analysis (3rd). Routledge.
  30. Nammouri, H., Chlibi, S., & Labidi, O. (2022). Co-movements in sector price indexes during the COVID-19 crisis: Evidence from the US. Finance Research Letters, 46(Part A), 102295. https://doi.org/10.1016/j.frl.2021.102295
  31. Nandy, S., & Chattopadhyay, A. K. (2019). 'Indian stock market volatility': A study of interlinkages and spillover effects. Journal of Emerging Market Finance, 18(2_suppl), S183–S212. https://doi.org/10.1177/0972652719846321
  32. Onali, E. (2020). COVID-19 and stock market volatility. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3571453
  33. Singh, A., & Kaur, P. (2015). Modelling dynamic volatility spillovers from the U.S. to the BRIC countries' stock markets during the subprime crisis. Indian Journal of Finance, 9(8), 45–55. https://doi.org/10.17010/ijf/2015/v9i8/74562
  34. Singh, V. K., & Gautam, A. (2022). Structural investigation of export assistance and performance of handloom exporters. Metamorphosis, 21(1), 7–18. https://doi.org/10.1177/09726225211066160
  35. Slivka, R. T., Gao, S., & Ren, J. (2015). An empirical model of India's Nifty VIX Index. Indian Journal of Finance, 9(8), 7–18. https://doi.org/10.17010/ijf/2015/v9i8/74559
  36. Su, C. (2010). Application of EGARCH model to estimate financial volatility of daily returns : The empirical case of China (Master Degree Project No. 2010: 142). http://hdl.handle.net/2077/22593
  37. Tang, Y., Xiao, X., Wahab, M. I., & Ma, F. (2021). The role of oil futures intraday information on predicting US stock market volatility. Journal of Management Science and Engineering, 6(1), 64–74. https://doi.org/10.1016/j.jmse.2020.10.004
  38. Uddin, M., Chowdhury, A., Anderson, K., & Chaudhuri, K. (2021). The effect of COVID – 19 pandemic on global stock market volatility: Can economic strength help to manage the uncertainty? Journal of Business Research, 128, 31–44. https://doi.org/10.1016/j.jbusres.2021.01.061
  39. Upadhyay, A. (2016). Foreign direct investment and Indian economy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2710148
  40. Varughese, A., & Mathew, T. (2017). Asymmetric volatility of the Indian stock market and foreign portfolio investments : An empirical study. Indian Journal of Finance, 11(6), 36–49. https://doi.org/10.17010/ijf/2017/v11i6/115595
  41. Yilmaz, K. (2010). Return and volatility spillovers among the East Asian equity markets. Journal of Asian Economics, 21(3), 304–313. https://doi.org/10.1016/j.asieco.2009.09.001
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