During the past few years, many of the financial markets have gone through devastating effects due to the crisis in one or the other economy of the world. The recent global financial crisis has triggered dramatic movements in various stock markets which may arise from interdependence or contagion between the markets. This article attempts to measure the contagion between the equity markets of Asia and the US stock market. The countries considered in the Asian group are China, India, Indonesia, South Korea, Taiwan, Hong Kong, Malaysia and Japan. Most of the Asian economies have experienced drastic higher volatility and uncertainty in the financial markets. If the markets are contagious, then the investors will be unable to reap benefits through international diversification of the portfolio. In such a case, the policymakers will further frame policies so that they can insulate themselves from inflicting heavy damage from various crises. To achieve our goal, we make use of the time-varying copula approach which helps us to study the joint behaviour of the series based on their marginal distribution. Time-varying copula approach can also capture the non-linear dependence in the series and exhibits a rich pattern of tail behaviour. Our findings support the contagion between the Asian stock markets and the US stock market during the global financial crisis. This article also highlights that the increased tail dependence is an important factor for the contagion between the Asian stock markets and the US market.

The study seeks to examine the contagion effect of the global financial crisis on the major Asian markets, namely, China, Hong Kong, Indonesia, South Korea, Malaysia, Japan, India and Taiwan. The study incorporates the impact of leverage effect in the dynamic conditional correlation generalized autoregressive conditional heteroskedasticity (DCC-GARCH) framework to achieve the goal. The US is taken as the crisis-originating country. The period of study has been divided into three categories, namely, pre-crisis period, crisis period and post-crisis period, to examine the sudden change in average conditional correlation from one period to other period so as to identify the contagion effect. The findings support the contagion effect from US market to the major Asian markets with the exception of Japan. Policy makers seek to study the existence of contagion among markets so that they can strategically manage risk and it further helps in asset allocation. If the markets are contagious, then the investors will be unable to reap benefits through international diversification of portfolio. In such a case, the policy makers will further frame policies so that they can insulate themselves from inflicting heavy damage from various crises.

PurposeThe purpose of this paper is to investigate the linkages between Indian stock markets with other Asian stock markets namely, Hong Kong, Indonesia, Japan, South Korea, Malaysia, Taiwan and China. Such a study is particularly important because if the level of integration among the markets is high, then investing in different markets will not generate long term gains from portfolio diversification or reduction in risk.Design/methodology/approachThe paper applies unit root test in the presence of endogenous structural breaks that uses a Lagrange Multiplier (LM) test statistics and the Gregory and Hansen cointegration technique that allows for endogenous determined structural break in the relationship have been applied.FindingsThe results suggest that the Indian stock markets are not integrated with any of the Asian markets either individually or collectively, and conclude that Indian markets are not sensitive to the dynamics in these markets in the long run.Originality/valueSince the level of integration has been studied keeping in mind the different economical phases like recession and boom, the study has incorporated the possibility of existence of structural breaks in the individual stock return series as well as in their relationship. The lack of evidence on interlinkage of Indian stock markets with other Asian markets suggests that the trend of Indian markets is not in sync with other markets, possibly due to difference in macroeconomic structure. Since the level of integration has been studied keeping in mind the different economical phases like recession and boom, the study has incorporated the possibility of existence of structural breaks in the individual stock return series as well as in their relationship. The lack of evidence on interlinkage of Indian stock markets with other Asian markets suggest that the trend of Indian markets is not in sync with other markets, possibly due to difference in macroeconomic structure.

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This paper examines the dynamic linkages of volatility of energy commodities with bullion and the metal market. The proxies of energy commodities are crude oil and natural gas; bullion markets are Gold, silver and platinum and metal markets are copper and zinc. We collect daily data extending from March 18, 2010, to January 15, 2021, a period for about 12 years and employ Granger causality, Dynamic Conditional Correlation (DCC), Diebold Yilmaz (2012), Baruník & Křehlík (2018), and Network analysis for the purpose of examining spillover effect in the data considered. It is observed that there are short-run dynamic spillovers from energy (crude oil) to metal (copper) while long-run linkage is witnessed among all the constituent series. Further, Baruník & Křehlík (2018) test reveals that the total connectedness of the seven data series under study are found to be higher in frequency 2 (6 days to 15 days) than in the short run and long run. Referring to the network analysis, negative correlations are found between each pair of indices considered, i.e., Gold, silver, platinum, zinc, copper with crude oil while positive correlation is witnessed between Gold and silver. In addition, we determine portfolio hedge ratios and portfolio weights for the investors and portfolio managers. It is found that the Crude /Zinc pair had the most expensive optimal hedge ratio, while Crude/Gold had the least expensive hedging.