THE NONLINEAR ASYMMETRIC RELATIONSHIP AMONG IMPLIED VOLATILITY INDICES OF INDIAN STOCK MARKET, GOLD, AND OIL: EVIDENCE FROM NARDL MODEL
Abstract
The paper aims to examine the nonlinear asymmetric relationship among the implied volatility indices of the Indian stock market, gold, and oil for the period from 2nd March 2009 to 29th October 2021. Nonlinear Autoregressive Distributed Lag (NARDL) model results provide evidence of asymmetric nonlinear relationship among the selected variables in the short-run and the long-run. The positive and negative shocks to gold and oil implied volatility indices have a positive and significant influence on the implied volatility of the Indian stock market. The expected volatility of gold has a short-term symmetric impact on expected stock market volatility in the short run. Whereas, the implied volatility of oil has a long-run asymmetric impact on the implied volatility of the stock market. Increasing volatility in oil prices can be viewed as a signal for the starting point for the volatility of the Indian stock markets. In the long run, positive shocks to gold volatility have more impact on the expected volatility of the Indian stock market than the negative. This indicates that investors are shifting their investments from gold to stocks for higher returns when the gold prices are fluctuating.
JEL Classification Codes: G10, G11, G13, G15.
References
Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886-1898.
Beckmann, J., Berger, T., & Czudaj, R. (2015). Does gold act as a hedge or a safe haven for stocks? A smooth transition approach. Economic Modelling, 48, 16-24.
Bouri, E., Roubaud, D., Jammazi, R., & Assaf, A. (2017). Uncovering frequency domain causality between gold and the stock markets of China and India: Evidence from implied volatility indices. Finance Research Letters, 23, 23-30.
Chang, H. F., Huang, L. C., & Chin, M. C. (2013). Interactive relationships between crude oil prices, gold prices, and the NT–US dollar exchange rate—A Taiwan study. Energy policy, 63, 441-448.
Chkili, W. (2016). Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries. Research in International Business and Finance, 38, 22-34.
Enwereuzoh, P. A., Odei-Mensah, J., & Junior, P. O. (2021). Crude oil shocks and African stock markets. Research in International Business and Finance, 55, 101346.
Ghosh, S., & Kanjilal, K. (2016). Co-movement of international crude oil price and The Indian stock market: Evidences from nonlinear cointegration tests. Energy Economics, 53, 111-117.
Gürgün, G., & Ünalmış, İ. (2014). Is gold a safe haven against equity market investment in emerging and developing countries?. Finance Research Letters, 11(4), 341-348.
Hammoudeh, S., & Choi, K. (2007). Characteristics of permanent and transitory returns in oil-sensitive emerging stock markets: The case of GCC countries. Journal of International Financial Markets, Institutions and Money, 17(3), 231-245.
Jain, A., & Biswal, P. C. (2016). Dynamic linkages among oil price, gold price, exchange rate, and stock market in India. Resources Policy, 49, 179-185.
Kumar, S., Pradhan, A. K., Tiwari, A. K., & Kang, S. H. (2019). Correlations and volatility spill overs between oil, natural gas, and stock prices in India. Resources Policy, 62, 282-291
Lee, W. C., & Lin, H. N. (2012). Threshold effects in the relationships between USD and gold futures by panel smooth transition approach. Applied Economics Letters, 19(11), 1065-1070.
Li, H., Semeyutin, A., Lau, C. K. M., & Gozgor, G. (2020). The relationship between oil and financial markets in emerging economies: The significant role of Kazakhstan as the oil exporting country. Finance Research Letters, 32, 101171.
Lin, L., Kuang, Y., Jiang, Y., & Su, X. (2019). Assessing risk contagion among the Brent crude oil market, London gold market and stock markets: Evidence based on a new wavelet decomposition approach. The North American Journal of Economics and Finance, 50, 101035.
Miladifar, M., Mohamadi, T., & Moghadam, B. A. (2020). Investigating the Effect of Oil Price Shocks on Stock and Gold Prices During Periods of Decline and Increase in Oil Prices. Quarterly Energy Economics Review, 15(63), 209-241.
Raj, J., Dhal, S., & Jain, R. (2008). Imported inflation: The evidence from India. Reserve Bank of India Papers, 29(3), 69-117.
Reboredo, J. C. (2013). Is gold a safe haven or a hedge for the US dollar? Implications for risk management. Journal of Banking & Finance, 37(8), 2665-2676.
Sari, R., Hammoudeh, S., & Soytas, U. (2010). Dynamics of oil price, precious metal prices, and exchange rate. Energy Economics, 32(2), 351-362.
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in honor of Peter Schmidt (pp. 281-314). Springer, New York, NY.
Soytas, U., Sari, R., Hammoudeh, S., & Hacihasanoglu, E. (2009). World oil prices, precious metal prices and macroeconomy in Turkey. Energy Policy, 37(12), 5557-5566.
Tiwari, A. K., Adewuyi, A. O., & Roubaud, D. (2019). Dependence between the global gold market and emerging stock markets (E7+ 1): Evidence from Granger causality using quantile and quantile‐on‐quantile regression methods. The World Economy, 42(7), 2172-2214.
Wang, L., Ma, F., Niu, T., & He, C. (2020). Crude oil and BRICS stock markets under extreme shocks: New evidence. Economic Modelling, 86, 54-68.
Zhang, Y. J., & Wei, Y. M. (2010). The crude oil market and the gold market: Evidence for cointegration, causality and price discovery. Resources Policy, 35(3), 168-177.
Zhu, H. M., Li, S. F., & Yu, K. (2011). Crude oil shocks and stock markets: A panel threshold cointegration approach. Energy Economics, 33(5), 987-994.
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