Dynamic Global Linkages of the BRICS Stock Markets with the United States and Europe Under External Crisis Shocks: Implications for Portfolio Risk Forecasting

World Economy ◽  
2016 ◽  
Vol 39 (11) ◽  
pp. 1703-1727 ◽  
Author(s):  
Shawkat Hammoudeh ◽  
Sang Hoon Kang ◽  
Walid Mensi ◽  
Duc Khuong Nguyen
2013 ◽  
Vol 48 (3) ◽  
pp. 979-1000 ◽  
Author(s):  
Brian C. McTier ◽  
Yiuman Tse ◽  
John K. Wald

AbstractWe examine the impact of influenza on stock markets. For the United States, a higher incidence of flu is associated with decreased trading, decreased volatility, decreased returns, and higher bid-ask spreads. Consistent with the flu affecting institutional investors and market makers, the decrease in trading activity and volatility is primarily driven by the incidence of influenza in the greater New York City area. However, the effect of the flu on bid-ask spreads and returns is related to the incidence of flu nationally. International data confirm our findings of a decrease in trading activity and returns when flu incidence is high.


2018 ◽  
Vol 53 (4) ◽  
pp. 1615-1651 ◽  
Author(s):  
Guido Baltussen ◽  
Sjoerd van Bekkum ◽  
Bart van der Grient

Stocks with high uncertainty about risk, as measured by the volatility of expected volatility (vol-of-vol), robustly underperform stocks with low uncertainty about risk by 8% per year. This vol-of-vol effect is distinct from (combinations of) at least 20 previously documented return predictors, survives many robustness checks, and holds in the United States and across European stock markets. We empirically explore the pricing mechanism behind the vol-of-vol effect. The evidence points toward preference-based explanations and away from alternative explanations. Collectively, our results show that uncertainty about risk is highly relevant for stock prices.


2017 ◽  
Vol 43 (2) ◽  
pp. 263-285 ◽  
Author(s):  
Emawtee Bissoondoyal-Bheenick ◽  
Robert Brooks ◽  
Wei Chi ◽  
Hung Xuan Do

We assess the stock market volatility spillover between three closely related countries, the United States, China and Australia. This study considers industry data and hence provides a clear idea of the channels through which volatility is transmitted across these countries. We find that there is significant bilateral causality between the countries at the market index level and across most of the industries for the full sample period from July 2007 to May 2016. There is one-way volatility spillover from the United States to China in the financial services, industrials, consumer discretionary and utilities industry. There is insignificant volatility spillover from the Australian to Chinese stock markets in financial services, telecommunications and energy industries. Once we remove the effect of the global financial crisis (GFC), we find significant bilateral relationship across all of the industries across the three countries. JEL Classification: G15


Author(s):  
Stergios Tasios ◽  
Evangelos Chytis ◽  
Stefanos Gousias

Although humanity has faced many plaques and epidemics from antiquity, the COVID-19 came as a tidal wave, overwhelming nations and governments. Restrictive measures, social distancing and ultimately lockdown and quarantine, emerged as a response to decelerate the spread of the disease and save human lives. These measures may have decreased COVID-19 cases, they had, however, an adverse impact on economic activity and stock markets (Ashraf, 2020). Research shows that the pandemic has already influenced the United States (the US), Germany, and Italy‘s stock markets more than the global financial crises (Shehzad, Xiaoxing, & Kazouz 2020)


2019 ◽  
Vol 6 (5) ◽  
pp. 131
Author(s):  
Wannakomol Supachart

The objective of this paper is to analyze the impact of economic policy uncertainty (EPU) in China, the United States, and Europe, which are influent to the Chinese stock markets. We employed Vector Autoregression (VAR) model with relative variables including the EPU indices and three Chinese stock markers indices to display the impulse responses of the markets to the EPUs. Our results indicate that the Chinese stock markets negatively respond to their domestic economic policy uncertainty in the first, second, and third month after the EPU shocks. Moreover, we also found the negative responses of the Chinese markets to the EPU from the United States that require five months to rebalance the markets. However, the Chinese markets seem positively respond to the shocks of the economic policy uncertainty in Europe and also took five months to archive market rebalancing. The significant correlation of the economic policy uncertainty between China and the United States resulted in cross-sectional correlation estimates among the EPU indices. Furthermore, there is the reasonable interesting result to claim that the economic policy uncertainty in China is statistically influenced by their own trade and fiscal policy uncertainty that may be considered to be related with China-US trade war in our conclusion.


2020 ◽  
Author(s):  
AISDL

The subprime mortgage crisis in the United States (U.S.) in mid-2008 suggests that stock prices volatility do spillover from one market to another after international stock markets downturn. The purpose of this paper is to examine the magnitude of return and volatility spillovers from developed markets (the U.S. and Japan) to eight emerging equity markets (India, China, Indonesia, Korea, Malaysia, the Philippines, Taiwan, Thailand) and Vietnam. Employing a mean and volatility spillover model that deals with the U.S. and Japan shocks and day effects as exogenous variables in ARMA(1,1), GARCH(1,1) for Asian emerging markets, the study finds some interesting findings. Firstly, the day effect is present on six out of nine studied markets, except for the Indian, Taiwanese and Philippine. Secondly, the results of return spillover confirm significant spillover effects across the markets with different magnitudes. Specifically, the U.S. exerts a stronger influence on the Malaysian, Philippine and Vietnamese market compared with Japan. In contrast, Japan has a higher spillover effect on the Chinese, Indian, Korea, and Thailand than the U.S. For the Indonesian market, the return effect is equal. Finally, there is no evidence of a volatility effect of the U.S. and Japanese markets on the Asian emerging markets in this study.


Subject The EU’s tech sector. Significance EU stock markets have been staging a sharp rally as concerns over the outlook for the region’s economic and political picture have diminished. However, more substantial gains will be needed if the EU is to recover the ground it has lost versus the United States over the last five years. Such gains will not be easy to achieve, especially in view of the EU’s weakness in the information technology (IT) sector. Impacts Structural change in the EU is likely to remain incremental. Macron could boost the French start-up sector and reinvigorate existing businesses -- if he can implement proposed reforms. Nonetheless, the EU as a whole needs vigorous action, perhaps through an updated and more realistic Lisbon agenda.


2017 ◽  
Vol 31 ◽  
pp. 32-46 ◽  
Author(s):  
Helena Chuliá ◽  
Montserrat Guillén ◽  
Jorge M. Uribe

2021 ◽  
pp. 1-22
Author(s):  
WEIJIE HOU ◽  
BAISHENG CUI ◽  
YUPING SONG ◽  
YING CHEN

Along with the international trade and economic ties, international stock markets are performing increasingly closely. This paper investigates the volatilities and the return co-movements among three stock markets in mainland China, Hong Kong, and the United States, from January 1, 2007, to July 5, 2019. We use the MIDAS framework to separately characterize short-term and long-term features. The results reveal that different market volatilities have different sensitivities to the same events. After the second half of 2016, the volatility of China’s stock market gradually dropped below that of the other two markets. As for market co-movements, the return correlation between China and Hong Kong rose sharply after 2007. Although the co-movements for return rates among these three stock markets possess mutual dynamic synchronization features, deviations exist occasionally due to the emotional transfer of funds in the international market when a significant economic or financial event occurs. The analysis suggests that countries should stabilize the financial investment environment and guard against hot money activities.


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