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The study implies VARX‐DCC‐MEGARCH model to investigate the returns transmission, volatility spillovers, asymmetry effect and the dynamic correlation between China and U.S. stock markets, as well as their local stock markets. We found that daytime returns of U.S. stock markets affect the overnight returns of Chinese stock markets. However, overnight returns transmission from the United States to China (daytime) was insignificant. Returns transmissions from Chinese stock markets to the United States are not significant. Daytime volatility of U.S. stock markets significantly spillovers the overnight volatility of Chinese stock markets and daytime volatility of Chinese stock markets spillovers the overnight volatility of U.S. stock markets. Moreover, during financial crises period, negative daily returns of Chinese stock markets significantly transmit to U.S. stock markets. Additionally, returns and volatility spillovers between local markets of the United States was also significant. During the financial crisis, the volatility spillovers between local stocks market of China was significant on one hand and leverage effect for U.S. and Chinese stock markets were also significant on the other hand. [ABSTRACT FROM AUTHOR]

This paper employs a multivariate constant conditional correlation (CCC) GARCH model and the VAR-AGARCH model to examine whether the U.S. equity and money market have a volatility spillover effect on the returns of the most important agricultural export products of Latin America over the turbulent 2005–2016 period. These results indicate the strengthening of crossmarket linkages between U.S. equity and money market and agricultural raw material commodities (notably sugar and soy) during the period of an upward trend and financial turmoil. [ABSTRACT FROM AUTHOR]

The U.S. and China are two of the biggest players in the world agricultural market. The literature documents that volatility in the U.S. agricultural futures market spills over significantly to that of China. This article provides further insights into the spillovers from China to the U.S. as well as the time horizon and dynamics of the bidirectional spillovers through the application of a multivariate extension of the heterogeneous autoregressive model, in relation to four commodities – soybean, wheat, corn and sugar. The results confirm the existence of significant spillovers from the U.S. to China for four commodities, which are primarily generated by the shorter-term volatility components in the U.S., and provide evidence for the increasing pricing power of the Chinese market. The findings are robust against various specifications and have important investment and policy implications. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to investigate the dynamics of volatility spillovers between the US economic policy uncertainty and the BRIC equity markets. To do so, we perform the cross correlation function suggested by Cheung–Ng (1996) within a rolling approach. Although the mean return spillover between the BRIC stock indices and US uncertainty is negative, the volatility spillover is found to oscillate between negative and positive values. Therefore, it is highly risky for investors to invest in the US and BRIC stock markets simultaneously. In addition, we find that there is strong evidence of a time-varying correlation between US economic uncertainty and stock market volatility. Furthermore, the correlation is found to be highly volatile during periods of global economic instability. So, market participants in the BRIC stock markets do closely monitor the US economic policy conditions. [ABSTRACT FROM AUTHOR]

This paper examines the dynamic and switching effects of volatility spillovers arising from US stock market returns and GDP growth on those of Australia, Canada and the UK. For this purpose, we use quarterly data (1961q1–2013q1) and a constant probability Markov regime switching model. We found that the US stock market volatility significantly affects the stock market volatility of all three countries at least in one of the two specified regimes over time. However, the stock market volatilities in none of the three countries are contemporaneously influenced by the US output volatility even after allowing for two distinct regimes. On the other hand, the US stock market volatility exerts significant influences on the output volatilities of both Australia and the UK. Compared with Australia and the UK, Canada and the US show substantial output volatility co-movements, thereby confirming the close association between the two neighbouring economies through the NAFTA (North American Free Trade Agreement). We conclude that shocks emanating from the US stock market have unequivocal flow-on effects on the output and return volatilities of the other economies. [ABSTRACT FROM AUTHOR]

This article investigates volatility linkages across 30 US industries in terms of volatility leadership impact and interdependence dynamics. The volatility spillover index of Diebold and Yilmaz (2009) is used to uncover industries that show leadership in volatility and to measure the impacts of leading industries on lagging industries. I find that a leader is also a follower, which results into a web of complex relationships in volatility spillovers. Nevertheless, I identify the business equipment, the manufacturing and the financial intermediation industry as the main leading industries through which the entire economic system can be either stimulated when the economy is contracting or cooled when the economy is expanding. [ABSTRACT FROM PUBLISHER]

This paper examines volatility transmission and conditional correlations behaviour between the US and the Asian stock markets considering the effect of the Global Financial crisis. One Asian mature market and 10 emerging markets are included in the sample. To carry out the analysis, we use a multivariate asymmetric GARCH model. Results show that there exists volatility transmission between the US and the Asian markets. Moreover, it is found that, after the crisis, volatility transmission patterns have barely changed. Finally, results suggest that the lower the country‘s level of development, the lower the correlation with the USA. [ABSTRACT FROM PUBLISHER]

This paper analyzes stock returns and volatility relations between the Istanbul Stock Exchange (ISE) and the global market as represented by stock markets in the US, the UK, Japan and Germany. Results from monthly data and multivariate cointegration tests suggest that the ISE became significantly integrated in the global market only in the period following market liberalization in late 1989. We also find evidence based on GARCH estimations that capital liberalization actually mitigated, rather than intensified, volatility in the ISE. Our results further suggest that the Asian crisis in mid-1997 and the consequent Russian economic meltdown in mid-1998 are partly responsible for the recent excessive volatility in the Turkish market. The results also identify the US and the UK markets as dominate sources of volatility spillovers for the ISE, even in the period following the Asian-Russian crises. Consequently, it appears that the two matured markets of the US and the UK shoulder significant responsibility for the stability and financial health of smaller emerging markets like the ISE. [ABSTRACT FROM AUTHOR]

The international transmission of intraday price volatility among the United States, United Kingdom, and Japanese stock index futures markets in the period 1988-1994 is investigated in this paper The empirical results based on extreme-value estimators and vector autoregression indicate the rapid transmission of information between markets. The volatilities of the U.S. and U.K. futures markets appear to follow a meteor shower rather than a heat wave type of process. This means that these volatilities react to shocks from other markets, i.e., they cannot be described only by their past values. However, the heat wave hypothesis is not rejected for the Japanese market, meaning that the shocks to Japanese volatility are mostly country-specific. A multivariate GARCH model supports the U K. and Japanese but not the U.S. results. [ABSTRACT FROM AUTHOR]

The paper examines both the time-varying price and volatility transmission between US natural gas and crude oil wholesale markets, over the period 1990–2017. Short iterations suggest that neither commodity determines other's returns, but sub-periods with very short-lived causal relationships exist. It can be asserted that the markets are decoupled, where unconventional production further enhances the already established commodities' independence. Using Momentum Threshold Autoregressive (MTAR) cointegration methodology, we find evidence of positive asymmetry from crude oil to natural gas prices, i.e., oil price increases cause faster adjustments to natural gas prices than decreases. We also find that an 1% change of oil price has positive and significantly larger long-term impact (between 0.01% to 0.02%) to the gas price, compared to the negligible impact of gas to oil. Volatility transmission is examined using the Dynamic Conditional Covariance (DCC)-Generalized Autoregressive Conditional Heteroscedasticity (GARCH) methodology, presenting their time-varying correlation. Results show that both commodities influence each other's volatility at the aggregate level. Finally, we conclude that both regional commodity markets are liquid and integrated, where the market fundamentals drive their price formulation. However, although markets are decoupled and not appropriate for perfect hedging of each other, the existence of bidirectional volatility transmission and their substitutability might be useful for diversified portfolio allocation. [ABSTRACT FROM AUTHOR]