Impact of the Global Financial Crisis on Volatility Spillover between U.S. and Asia-Pacific Stock Markets

2017 ◽  
Vol 19 (3) ◽  
pp. 1187-1195
Author(s):  
Sang Hoon Kang ◽  
Seong-Min Yoon
Keyword(s):  
Financial Crisis ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Asia Pacific ◽  
Volatility Spillover ◽  
The Global Financial Crisis

scholarly journals Comparing The South African Stock Markets Response To Two Periods Of Distinct Instability The 1997-98 East Asian And Russian Crisis And The Recent Global Financial Crisis

2014 ◽  
Vol 13 (3) ◽  
pp. 427 ◽  
Author(s):  
Anmar Pretorius ◽  
Jesse De Beer
Keyword(s):  
Financial Crisis ◽  
South African ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
East Asian ◽  
Volatility Spillover ◽  
The South ◽  
Share Prices ◽  
Export Destination ◽  
The Global Financial Crisis

This paper compares the South African stock markets response to two periods of distinct instability, namely the East Asian and Russian crisis of 1997-98 and the global financial crisis of 2007-09. Considering share prices, the Johannesburg Securities Exchange (JSE) was more severely affected by the earlier crisis, when the domestic fundamentals were weaker. The low levels of foreign reserves were the main cause of concern. The paper further empirically investigates volatility spillover between the JSE and various developed and emerging stock markets during the two crisis periods, employing twelve separate bi-variate GARCH models. The main contributors to volatility spillover during the East Asian and Russian crisis were Mexico, Thailand, Brazil, and Germany predominantly emerging markets. During the second crisis period, Germany, US, Brazil, and UK played the dominant parts predominantly developed markets. The importance of Germany in both periods can be attributed to the countrys role as main export destination of South African goods in Europe.

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.

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.

scholarly journals Linkages between gold and emerging Asian stock markets: New evidence from the Chinese stock market crash

2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Imran Yousaf ◽  
Shoaib Ali
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Chinese Stock Market ◽  
Stock Market Crash ◽  
Volatility Spillovers ◽  
Hedge Ratios ◽  
The Global Financial Crisis ◽  
New Evidence

This study examines the return and volatility transmission between gold and nine emerging Asian Stock Markets during the global financial crisis and the Chinese stock market crash. We use the VAR-AGARCH model to estimate return and volatility spillovers over the period from January 2000 through June 30, 2018. The results reveal the substantial return and volatility spillovers between the gold and emerging Asian stock markets during the global financial crisis and the Chinese stock market crash. However, these return and volatility transmissions vary across the pairs of stock markets and the financial crises. Besides, we analyze the optimal portfolios and hedge ratios between gold and emerging Asian stock markets during all sample periods. Our findings have important implications for effective hedging and diversification strategies, asset pricing and risk management.

Volatility spillover between the US, Chinese and Australian stock markets

2017 ◽  
Vol 43 (2) ◽  
pp. 263-285 ◽  
Author(s):  
Emawtee Bissoondoyal-Bheenick ◽  
Robert Brooks ◽  
Wei Chi ◽  
Hung Xuan Do
Keyword(s):  
United States ◽  
Financial Services ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
The United States ◽  
Jel Classification ◽  
Volatility Spillover ◽  
Stock Market Volatility ◽  
Index Level ◽  
The Global Financial Crisis

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

scholarly journals GLOBALIZATION EFFECTS ON CONTAGION RISKS IN FINANCIAL MARKETS

2020 ◽  
Vol 15 (1) ◽  
pp. 38-54
Author(s):  
Mariya Paskaleva ◽  
Ani Stoykova
Keyword(s):  
Financial Crisis ◽  
Capital Markets ◽  
Capital Market ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Member States ◽  
Eu Member States ◽  
Contagion Effects ◽  
The Global Financial Crisis ◽  
The U.S

Financial globalization has opened international capital markets to investors and companies worldwide. However, the global financial crisis also caused massive stock price volatility due in part to global availability of market information. We explore ten EU member states (France, Germany, the United Kingdom, Belgium, Bulgaria, Romania, Greece, Portugal, Ireland, and Spain), and the USA. The explored period is March 3, 2003 to June 30, 2016, and includes the effects of the global financial crisis of 2008. The purpose of the article is to determine whether there is a contagion effect between the Bulgarian stock market and the other examined stock markets during the crisis period and whether these markets are efficient. We apply an augmented Dickey-Fuller test, DCC-GARCH model, autoregressive (AR) models, TGARCH model, and descriptive statistics. Our results show that a contagion between the Bulgarian capital market and the eight capital markets examined did exist during the global financial crisis of 2008. We register the strongest contagion effects from the U.S. and German capital markets on the Bulgarian capital market. The Bulgarian capital market is relatively integrated with the stock markets of Germany and the United State, which serves as an explanation of why the Bulgarian capital market was exposed to financial contagion effects from the U.S. capital market and the capital markets of EU member states during the crisis. We register statistically significant AR (1) for UK, Greece, Ireland, Portugal, Romania, and Bulgaria, and we can define these global capital markets as inefficient.

scholarly journals Global Risk Diversification: An Empirical Investigation From The U. S. Perspective

2011 ◽  
Vol 10 (8) ◽  
pp. 57
Author(s):  
H. Christine Hsu
Keyword(s):  
Stock Markets ◽  
Global Financial Crisis ◽  
Global Market ◽  
Asia Pacific ◽  
Global Risk ◽  
Risk Diversification ◽  
Gold Silver ◽  
Portfolio Managers ◽  
The Global Financial Crisis ◽  
The U.S

The case for global risk diversification has been built on correlations between the U.S. and international stock markets. Now that we witness how tightly the world stock markets are correlated, especially after the global financial crisis of 2008-2009, does it still make sense to diversify globally? Can the investments in global equity portfolios be protected in todays volatile markets? These questions have preoccupied a growing number of portfolio managers in recent years, as well as many of us who invest in stock markets. Since gold/silver and bonds tend to move inversely with the stock markets, a hedging strategy of combining them with stock portfolios should protect the equity investments during global market downturns. The study explores the risk-return profiles of various global portfolios and provides insights about the extent to which the U.S. investors need to allocate their investments in Asia/Pacific, European stock markets, and across other investment vehicles, such as gold/silver and bonds. The findings from this research have practical implications for both investors and portfolio managers interested in going global.

scholarly journals Ocena zdolności do kontynuowania działalności polskich spółek giełdowych w czasie kryzysu za pomocą modeli wielowymiarowej analizy dyskryminacyjnej

2017 ◽  
pp. 21-62
Author(s):  
Paweł Kopczyński
Keyword(s):  
Financial Crisis ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Investment Decisions ◽  
Listed Companies ◽  
Multiple Discriminant Analysis ◽  
Financial Situation ◽  
The Real ◽  
Share Prices ◽  
The Global Financial Crisis

Ocena zdolności do kontynuowania działalności polskich spółek giełdowych w czasie kryzysu za pomocą modeli wielowymiarowej analizy dyskryminacyjnej The Global Financial Crisis, which began in 2007, had a huge influence on the situation on world stock markets. The behavior of investors is often affected by various factors which can impact their investment decisions. As they do not always act rationally, have a tendency to overreact and cannot remove all emo-tional components from their decision-making process, it may be difficult to explain their behavior and investment decisions during the crisis, especially those concerning the sale of shares. The huge drop in share prices on world stock markets was visible in the early stages of the crisis, but it probably was not justified by actual deterioration of the financial situation of listed companies. The Global Financial Crisis triggered a wave of panic selling of shares on the Warsaw Stock Exchange (WSE). As the fluctuations in share prices do not always reflect the real economic situation of the companies, it is worth to examine whether the financial standing of companies listed on WSE actually deteriorated and whether the number of companies facing bankruptcy grew during the 2007 Crisis. The main purpose of this article is to evalu-ate the influence of the recent financial crisis on the financial situation and performance of Polish listed companies. Eight multiple discriminant analysis models were utilized to evaluate the real changes in the financial situation of Polish listed companies during the crisis (years 2006-2011). The aforementioned models enable prediction of corporate bankruptcy and measurement of financial health of companies. Theoretically, the number of companies facing bankruptcy should increase in time of crisis. As many as 175 joint-stock companies listed on the regulated market of the WSE were covered by the study. Their financial data were extracted from the Notoria Serwis database, which is available on the University of Lodz Library’s website.

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