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Author: search.filters.author.M, Theivanayaki

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    STOCK MARKET VOLATILITY TRANSMISSION AND INTERLINKAGE: EVIDENCE FROM BRICS
    (Horizon Research Publishing, 2021) Md, Qamruzzaman; Rajnish, Kler; M, Theivanayaki; Salma, Karim
    No isolated financial markets are available due to global financial integration through trade liberation and FDI presence. Therefore, financial markets are subject to response to home economy events and pair economy movements. The study's motivation is to investigate the volatility transmission and interlinkage between financial markets in BRICS nations from January 01, 2001 to December 31, 2019. The study applies unit root tests, the test of cointegration, ARCH-GARCH effects, and the Non-granger causality test to expose interlinkages. Results of unit root tests expose variables are integrated in mixed order, i.e., few variables are stationary at a level I (0), and few variables are after first difference I (0). The cointegration test reveals the long-run association available in the empirical model, implying that the long-run BRICS stock markets act in the same direction. Results of ARCH-GARCH (1.1) disclose the presence of volatility persistence in the financial markets. Furthermore, the directional causality under the error correction term discloses that the feedback hypothesis explains the causality among financial markets in BRICS nations in the long run. On the other hand, a similar conclusion also derives from the Non-granger causality test.
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    EXAMINING VOLATILITY SPILLOVER BETWEEN FOREIGN EXCHANGE MARKETS AND STOCK MARKETS OF COUNTRIES SUCH AS BRICS COUNTRIES
    (Sage Journal, 2021-06-23) Dharmendra, Singh; M, Theivanayaki; M, Ganeshwari
    The objective of this article is to examine the volatility spillover effect between the foreign exchange market and the stock market of Brazil, Russia, India, China and South Africa (BRICS) countries along with Japan as the developed country in the region, affecting the BRICS countries. Generalized Autoregressive Conditionally Heteroscedastic (GARCH) (1,1) method is used to study the volatility between the stock market and the foreign exchange market in selected countries, and asymmetric model, that is, Exponential Generalized Autoregressive Conditional Heteroscedasticity—EGARCH (1,1) is also used to investigate the presence of leverage effects in both stock market and foreign exchange market in selected countries. GARCH findings suggest a two-way volatility spillover between the stock market and foreign exchange markets for India, China and South Africa. In BRICS countries, volatility spillover from the currency market to the stock market is seen as more evident and robust as compared to spillover from the stock market to the currency market. A positive asymmetry in spillover is also observed from the foreign exchange market to the stock market. The findings of the study may provide valuable information to investors for decision-making in international portfolio investment and also for economic policymakers for their financial stability perspective.