scholarly journals Eurozone Crisis and Asymmetric Volatility Spillover between the Stock Markets of Selected Emerging Asian and Developed Economies

2020 ◽  
Vol V (I) ◽  
pp. 399-409
Author(s):  
Muzammil Hussain ◽  
Rehmat Ullah Awan ◽  
Hammad Hassan
Keyword(s):  
Hong Kong ◽  
Financial Crisis ◽  
Stock Markets ◽  
Volatility Spillover ◽  
Causality Test ◽  
Asymmetric Volatility ◽  
Volatility Spillovers ◽  
Developed Markets ◽  
The Us ◽  
The Impact

The study examines the volatility spillover between selected emerging Asian and developed stock markets. Moreover, the study analyzes the impact of the financial crisis on volatility spillover between the stock markets. This study used monthly observations for the period 2001-01 to 2017-12 on three emerging markets of Pakistan, China, India and three developed markets of Hong Kong, Japan and the US. First, the asymmetric volatility transmission between the stocks is analyzed by extended EGARCH representation. The study found the existence of asymmetric volatility spillovers throughout the financial crisis. The researcher estimated the VECM granger causality test in the next step. The outcomes revealed existence of bidirectional spillover between Pakistan and India, the US to Japan and Hong Kong. Unidirectional relationship was found from Pakistan and the US to Hong Kong, India to the US and Hong Kong to China. Overall, the results suggest a significant relationship between emerging and developed markets due to integration.

scholarly journals The source of financial contagion and spillovers: An evaluation of the covid-19 pandemic and the global financial crisis

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0261835
Author(s):  
Samet Gunay ◽  
Gokberk Can
Keyword(s):  
Financial Crisis ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Financial Contagion ◽  
Test Results ◽  
Developed Economies ◽  
Volatility Spillovers ◽  
The Us ◽  
The Global Financial Crisis ◽  
The Impact

This study investigates the reaction of stock markets to the Covid-19 pandemic and the Global Financial Crisis of 2008 (GFC) and compares their influence in terms of risk exposures. The empirical investigation is conducted using the modified ICSS test, DCC-GARCH, and Diebold-Yilmaz connectedness analysis to examine financial contagion and volatility spillovers. To further reveal the impact of these two crises, the statistical features of tranquil and crisis periods under different time intervals are also compared. The test results show that although the outbreak’s origin was in China, the US stock market is the source of financial contagion and volatility spillovers during the pandemic, just as it was during the GFC. The propagation of shocks is considerably higher between developed economies compared to emerging markets. Additionally, the results show that the COVID-19 pandemic induced a more severe contagious effect and risk transmission than the GFC. The study provides an extensive examination of the COVID-19 pandemic and the GFC in terms of financial contagion and volatility spillovers. The results suggest the presence of strong co-movements of world stock markets with the US equity market, especially in periods of financial turmoil.

scholarly journals A Network Analysis of the Asia-Pacific and Other Developed Stock Markets: Pre and Post Global Financial Crisis

2020 ◽  
Vol 9 ◽  
pp. 112-131
Author(s):  
Kousik Guhathakurtha ◽  
Sharad Nath Bhattacharya ◽  
Mousumi Bhattacharya
Keyword(s):  
Hong Kong ◽  
Financial Crisis ◽  
Portfolio Management ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Forecast Error ◽  
Asia Pacific ◽  
Volatility Spillover ◽  
Risk Transfer ◽  
Network Diagrams

This paper examines the volatility spillover and connectedness between Asia-Pacific, US, UK, and eurozone stock markets. A spillover index is built using forecast error variance decomposition in a vector autoregression framework and the spillover index is used to build network diagrams. It shows evidence of how the increase in risk transfer (volatility spillover) between the markets led to the global financial crisis and of the higher level of connectedness since. Network diagrams show the direction and strength of the connectedness. The network strength estimation enables us to understand the risk associated with connectedness across the markets in the event of a trigger and its influence in portfolio management decisions of international funds. The Chinese market appears to be the most insulated, while the South Korean, Hong Kong, and Singapore stock markets dominate in terms of risk transfer. The US, UK, EU, Singapore and Hong Kong are the top five volatility spillover recipient markets, both during pre and post global financial crisis periods. We find the market size to be irrelevant in the determination of the level of connectedness, whereas the role of geographical proximity cannot be ruled out. The findings are relevant to multinational investment strategies and in understanding the relative risk of investment in the Asia-Pacific region.

MEASURING VOLATILITY SPILLOVERS BETWEEN DEVELOPED AND SOUTHEAST ASIAN EMERGING STOCK MARKETS: A MULTIVARIATE GARCH APPROACH

2018 ◽  
Author(s):  
Anh Nguyễn Thị Hoàng ◽  
Huyền Trần Thị Thanh ◽  
Minh Huỳnh Ngọc Kim ◽  
Trân Nguyễn Thị Ngọc
Keyword(s):  
Emerging Markets ◽  
Stock Markets ◽  
Spillover Effects ◽  
The United States ◽  
Southeast Asian ◽  
Multivariate Garch ◽  
Volatility Spillover ◽  
Sample Analysis ◽  
Volatility Spillovers ◽  
Developed Markets

In this paper, we measure volatility spillovers among eleven stock markets, including five developed markets (the United States, Japan, Germany, the United Kingdom, Hong Kong) and six Southeast Asian developing markets (Indonesia, Malaysia, Philippines, Singapore, Thailand and Vietnam) over the 25-year period from January 1, 1993 to December 31, 2017. Employing the GARCH-DCC model and non-parametric sign tests on the correlations between developed markets and emerging markets, we find that correlations between developed markets and the Southeast Asian markets have risen sharply during periods of crisis, indicating the existence of volatility spillover effects from the developed markets to emerging ones. Full sample analysis suggests that volatility spillover from Japanese and the UK markets to the Southeast Asian emerging markets is stronger and more apparent than those transmitted from the US and Germany markets. Sub-sample analysis is able to identify the markets transmitting shocks to others. Results also suggest that Vietnam market is not fully integrated to the regional and global markets.

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.

International stock markets Integration and dynamics of volatility spillover between the USA and South Asian markets: evidence from Global financial crisis

2020 ◽  
Vol 14 (5) ◽  
pp. 779-794
Author(s):  
Umm E. Habiba ◽  
Shen Peilong ◽  
Wenlong Zhang ◽  
Kashif Hamid
Keyword(s):  
Financial Crisis ◽  
South Asian ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Volatility Spillover ◽  
Policy Makers ◽  
Content Type ◽  
Volatility Spillovers ◽  
Emerging Stock Markets ◽  
The Usa

Purpose The purpose of this paper is to investigate the cointegration and volatility spillover dynamics between the USA and South Asian stock markets, namely, India, Pakistan and Sri Lanka. The main objective of this study is to provide the knowledge about integration of financial market and volatility spillovers before, during and after global financial crisis to investors, fund managers and policy-makers. Design/methodology/approach The Johansen and Juselius cointegration test, Granger Causality test and bivaraite EGARCH model have been applied in this study to examine integration and volatility spillovers between selected stock markets. Findings The findings show that long-term integration between the USA market and South Asian emerging stock markets. It is found that USA stock market has causal relationship with emerging stock markets in short-term. The findings of EGARCH model reveal that asymmetric volatility spillover effects significant in all selected stock markets in pre, during and post-crisis periods. Furthermore, significant volatility spillover is found from stock markets of USA to all selected South Asian markets during and post-crisis periods. However, volatility spillovers from USA to India and Sri-Lanka markets are significant, while insignificant in case of Pakistani market in pre-crisis period. Overall, we find that returns and volatility spillover effects are higher in financial crisis period as compared to non-financial crisis period. Practical implications The findings of this paper have important implications for investors, portfolio managers and policy-makers. They can take potential benefits from international portfolio diversification by considering all these facts. The understanding and knowledge of across volatility transmission help them to maximize the gains from diversification and minimize the risk. Policy-makers can develop such strategies which protect the markets of these economies from future financial crisis. Originality/value Although in finance literature numerous studies have been conducted on integration between different stock markets, most of the studies investigated the integration and volatility spillovers between developed stock markets. However, many studies also analyzed the integration among emerging stock markets in literature review but it is hard to find studies in the context of South Asian stock markets on the effect of global financial crisis on stock markets. The main contribution of this study is to investigate the stock markets integration and volatility transmission between the USA and South Asia by considering the effect of recent 2007 US subprime financial crisis.

scholarly journals Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications

2020 ◽  
Vol 13 (7) ◽  
pp. 148 ◽  
Author(s):  
Imran Yousaf ◽  
Shoaib Ali ◽  
Wing-Keung Wong
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Latin American ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Volatility Spillover ◽  
Chinese Stock Market ◽  
Volatility Transmission ◽  
The Us ◽  
The Global Financial Crisis

This study uses the BEKK-GARCH model to examine the return-and-volatility spillover between the world-leading markets (USA and China) and four emerging Latin American stock markets over the global financial crisis of 2008 and the crash of the Chinese stock market of 2015. Regarding return spillover, our findings reveal a unidirectional return transmission from Mexico to the US stock market during the global financial crisis. During the crash of the Chinese stock market, the return spillover is found to be unidirectional from the US to the Brazil, Chile, Mexico, and Peru stock markets. Moreover, the results indicate a unidirectional return transmission from China to the Brazil, Chile, Mexico, and Peru stock markets during the global financial crisis and the crash of the Chinese stock market. Regarding volatility spillover, the results show the bidirectional volatility transmission between the US and the stock markets of Chile and Mexico during the global financial crisis. During the Chinese crash, the bidirectional volatility transmission is observed between the US and Mexican stock markets. Furthermore, the volatility spillover is unidirectional from China to the Brazil stock market during the global financial crisis. During the Chinese crash, the volatility spillover is bidirectional between the China and Brazil stock markets. Lastly, a portfolio analysis application has been conducted.

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