Volatility spillover from the US to international stock markets: A heterogeneous volatility spillover GARCH model

2018 ◽  
Vol 37 (3) ◽  
pp. 385-400 ◽  
Author(s):  
Yudong Wang ◽  
Zhiyuan Pan ◽  
Chongfeng Wu
Keyword(s):  
Stock Markets ◽  
Garch Model ◽  
Volatility Spillover ◽  
International Stock Markets ◽  
The Us

Transmission of Volatility across Asia-Pacific Stock Markets: Is There a Pattern?

2016 ◽  
Vol 6 (1) ◽  
pp. 42-54 ◽  
Author(s):  
Amarnath Mitra ◽  
Vishwanathan Iyer
Keyword(s):  
Stock Markets ◽  
Asia Pacific ◽  
Pacific Region ◽  
Volatility Spillover ◽  
Asia Pacific Region ◽  
Volatility Transmission ◽  
International Stock Markets

The present study attempts to track the transmission of volatility across 11 international stock markets in the Asia-Pacific region over a period of 20 years, which includes both crisis (i.e., contagion form) and non-crisis periods. It also investigates whether the global transmission of volatility follows a pattern. The study contributes to the literature in two ways: (a) it provides a historical map of volatility transmission in the Asia-Pacific region and (b) it identifies the path and pattern of volatility spillover across stock markets in the Asia-Pacific region.

Capital Market Integration of Selected ASEAN Countries and its Investment Implications

2017 ◽  
pp. 5-33
Author(s):  
Hung Quang Do ◽  
László Kónya ◽  
Bhatti M. Ishaq
Keyword(s):  
Capital Market ◽  
Stock Markets ◽  
Market Integration ◽  
The Philippines ◽  
Dependence Structure ◽  
Global Finance ◽  
Capital Market Integration ◽  
International Stock Markets ◽  
The Us ◽  
Asean Countries

This paper investigates the dynamic integration of ASEAN6 stock markets (Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam) with international stock markets (the US, the ASEAN bloc, and Asia) in an ARMA-EGARCH-M and a vector autoregression models (VAR) using weekly price returns from January 2000 to October 2015. The interaction channels between these markets provide valuable information to investors about possible investment gateways into these ASEAN6 countries. The dependence structure of unexpected returns between the US and ASEAN6 countries, and contagion of the Global Finance Crisis (GFC) are explored in the paper. The results indicate that investors from the US and Asia could gain diversification benefits by investing in the stock markets of Indonesia, Malaysia, the Philippines, Singapore and Thailand. At the same time, ASEAN investors might wish to invest in Vietnam for their investment diversification. However, the Vietnamese market is found to be highly dependent on the US and Asian markets.

scholarly journals International Evidence for Return Predictability and the Implications for Long-Run Covariation of the G7 Stock Markets

2010 ◽  
Vol 11 (4) ◽  
pp. 527-544 ◽  
Author(s):  
Thomas Nitschka
Keyword(s):  
Stock Markets ◽  
Return Predictability ◽  
Cycle Frequency ◽  
Common Component ◽  
International Evidence ◽  
International Stock Markets ◽  
Long Run ◽  
Time Period ◽  
The Us ◽  
The Business Cycle

Abstract Temporary fluctuations of the US consumption-wealth ratio do not only predict excess returns on the US but also international stock markets at the business cycle frequency. This finding is the reflection of a common, temporary component in national stock markets. Exposure to this common component explains up to 50% of the pairwise covariation among long-horizon returns on the G7 stock markets for the time period from 1970 to 2008. This latter finding is less pronounced in the post-1990s period.

scholarly journals INTERRELATIONSHIPS AMONG INTERNATIONAL STOCK MARKET INDICES: EUROPE, ASIA AND THE AMERICAS

2005 ◽  
Vol 08 (05) ◽  
pp. 603-622 ◽  
Author(s):  
ADEL SHARKASI ◽  
HEATHER J. RUSKIN ◽  
MARTIN CRANE
Keyword(s):  
Hong Kong ◽  
Wavelet Transform ◽  
Stock Market ◽  
Stock Markets ◽  
Spillover Effects ◽  
Data Series ◽  
Testing Method ◽  
International Stock Markets ◽  
The Us ◽  
European Markets

In this paper, we investigate the price interdependence between seven international stock markets, namely Irish, UK, Portuguese, US, Brazilian, Japanese and Hong Kong, using a new testing method, based on the wavelet transform to reconstruct the data series, as suggested by Lee [11]. We find evidence of intra-European (Irish, UK and Portuguese) market co-movements with the US market also weakly influencing the Irish market. We also find co-movement between the US and Brazilian markets and similar intra-Asian co-movements (Japanese and Hong Kong). Finally, we conclude that the circle of impact is that of the European markets (Irish, UK and Portuguese) on both American markets (US and Brazilian), with these in turn impacting on the Asian markets (Japanese and Hong Kong) which in turn influence the European markets. In summary, we find evidence for intra-continental relationships and an increase in importance of international spillover effects since the mid 1990s, while the importance of historical transmissions has decreased since the beginning of this century.

scholarly journals To What Extent are Stock Returns Driven by Mean and Volatility Spillover Effects? – Evidence from Eight European Stock Markets

2013 ◽  
Vol 13 (1) ◽  
pp. 3-29 ◽  
Author(s):  
Abdulla Alikhanov
Keyword(s):  
Stock Returns ◽  
Stock Markets ◽  
Spillover Effects ◽  
Volatility Spillover ◽  
Volatility Spillovers ◽  
The Us ◽  
Variance Ratios ◽  
Market Shocks ◽  
European Stock Markets ◽  
The U.S

Abstract The paper investigates mean and volatility spillover effects from the U.S and EU stock markets as well as oil price market into national stock markets of eight European countries. The study finds strong indication of volatility spillover effects from the US-global, EU-regional, and the world factor oil towards individual stock markets. While both mean and volatility spillover transmissions from the US are found to be significant, EU mean spillover effects are negligible. To evaluate the magnitude of volatility spillovers, the variance ratios are also computed and the results draw to attention that the individual emerging countries’ stock returns are mostly influenced by the U.S volatility spillovers rather than EU or oil markets. Additionally, examination of only global and regional stock markets spillover transmissions into European stock markets also confirms the dominating presence of the U.S spillover transmissions. Furthermore, I also implement asymmetric tests on stock returns of eight markets. The stock market returns of Hungary, Poland, Russia and the Ukraine are found to respond asymmetrically to negative and positive shocks in the US stock returns. The weak evidence of asymmetric effects with respect to oil market shocks is found only in the case of Russia and the quantified variance ratios indicate that presence of oil market shocks are relatively higher for Russia. Moreover, a model with dummy variable confirms the effect of European Union enlargement on stock returns only for Romania. Finally, a conditional model suggests that the spillover effects are partially explained by instrumental macroeconomic variables, out of which exchange rate fluctuations play the key role in explaining the spillover parameters rather than total trade to GDP ratios in most investigated countries.

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