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The purpose of this paper is to examine the impact of Federal Open Market Committee (FOMC) announcements, which includes information about the targeted Federal fund rate and revision to the future path of monetary policy on Southeast Asian stock market performance.

This paper has used a sample of five national equity market indexes over the period 1997-2013 that covers 132 scheduled FOMC meetings. The authors have developed the model of Wongswan (2009) and Kontonikas et al. (2013) to quantify target surprise and path surprise.

The results first show that all the stock markets examined do respond to information in FOMC announcements. Second, the target Federal fund rate has more impact on Southeast Asian stocks performance than information about the future path of monetary policy does. Third, different Southeast Asian equity markets respond similarly to targeting the Federal fund rate, while the responses to monetary policy differ from each other. Fourth, the response of each country to the FOMC announcement is not statistically different in the two periods of financial crisis.

Southeast Asian financial markets are increasingly highly correlated to the US market. The main channel in which FOMC announcement has impact on Southeast Asian stock markets is through US price transmission. This is the case of foreign firms borrowing from the US market. Then, an increase in interest rate, which means that the cost of financing increases, will lower firm equity value.

The understanding of the response of the Southeast Asian stock markets to target surprise and path surprise, and the impact of each surprise in different time periods, would be important to investors and encourage further discussion amongst academics in Southeast Asia, where stock markets have been emerging in recent years.

This study aims to provide empirical evidence on the return and volatility spillover effects between Southeast Asian stock markets, bitcoin and gold in the periods before and during the COVID-19 pandemic. The interdependence among different asset classes, the two leading stock markets in Southeast Asia (Singapore and Thailand), bitcoin and gold, is analyzed for diversification opportunities.

The vector autoregressive-Baba, Engle, Kraft, and Kroner-generalized autoregressive conditional heteroskedasticity model is used to capture the return and volatility spillover effects between different financial assets. The data cover the period from October 2013 to May 2021. The full period is divided into two sub-sample periods, the pre-pandemic period and the during-pandemic period, to examine whether the financial turbulence caused by COVID-19 affects the interconnectedness between the assets.

The stocks in Southeast Asia, bitcoin and gold become more interdependent during the pandemic. During turbulent times, the contagion effect is inevitable regardless of region and asset class. Furthermore, bitcoin does not provide protection for investors in Southeast Asia. The pricing mechanism and technology behind bitcoin are different from common stocks, yet the results indicate the co-movement of bitcoin and the Singaporean and Thai stocks during the crisis. Finally, risk-averse investors should ensure that gold constitutes a significant proportion of their portfolio, approximately 40%–55%. This strategy provides the most effective hedge against risk.

The mean return and volatility spillover is analyzed between bitcoin, gold and two preeminent stock markets in Southeast Asia. Most prior studies test the spillover effect between the same asset classes such as equities in different regions or different commodities, currencies and cryptocurrencies. Moreover, the time-series data are divided into two groups based on the structural break caused by the COVID-19 pandemic. The findings of this study offer practical implications for risk management and portfolio diversification. Diversification opportunities are becoming scarce as different financial assets witness increasing integration.

This paper reappraises the global and regional integration for 6 Southeast Asian stock markets. A time‐varying analysis based on Barari (2004) suggests that Malaysia, South Korea and Thailand have shown significant movement towards international financial integration.The estimates based on TARCH model imply significant support for returns and volatility spillover effects from the World as well as regional markets to all the stock markets except Pakistan. The stock market liberalization measures such as First Country Fund, First Depository Receipt, and First Cross Listing appeared to have induced more positive return spillover effects from the World to India, Indonesia and South Korea. These results have policy implication for the international portfolio investors in sense that portfolio diversification advantages are rather less in Malaysia, South Korea compared to India and Pakistan which still provide higher returns through portfolio diversification.

This paper aims to study the daily returns and volatility spillover effects in common stock prices between China and four countries in Southeast Asia (Vietnam, Thailand, Singapore and Malaysia).

The analysis uses a vector autoregression with a bivariate GARCH-BEKK model to capture return linkage and volatility transmission spanning the period including the pre- and post-2008 Global Financial Crisis.

The main empirical result is that the volatility of the Chinese market has had a significant impact on the other markets in the data sample. For the stock return, linkage between China and other markets seems to be remarkable during and after the Global Financial Crisis. Notably, the findings also indicate that the stock markets are more substantially integrated into the crisis.

The results have considerable implications for portfolio managers and institutional investors in the evaluation of investment and asset allocation decisions. The market participants should pay more attention to assess the worth of across linkages among the markets and their volatility transmissions. Additionally, international portfolio managers and hedgers may be better able to understand how the volatility linkage between stock markets interrelated overtime; this situation might provide them benefit in forecasting the behavior of this market by capturing the other market information.

This paper would complement the emerging body of existing literature by examining how China stock market impacts on their neighboring countries including Vietnam, Thailand, Singapore and Malaysia. Furthermore, this is the first investigation capturing return linkage and volatility spill over between China market and the four Southeast Asian markets by using bivariate VAR-GARCH-BEKK model. The authors believe that the results of this research’s empirical analysis would amplify the systematic understanding of spillover activities between China stock market and other stock markets.

This study aims to analyze the herding behavior in Southeast Asian stock markets. A cross-sectional absolute deviation of the returns approach is used to identify the presence of herding. Individual stocks and market returns were employed on each stock market on a daily basis during the period of January 2008 to December 2014 from five countries selected to obtain the necessary data. The samples observed consisted of stocks having higher liquidity and larger market capitalization for each stock market. The results suggest that there is significant evidence of herding behavior found in Kuala Lumpur and Philippines Stock Exchanges. In addition, there is no evidence of herding behavior in Indonesia, Singapore, and Thailand Stock Exchanges.

In this paper we provide an in‐depth comparative analysis of the shares of listed firms in three Southeast Asian stock markets, namely, Indonesia, Malaysia and Thailand, that had experienced the most violent fluctuations in the 1997 market crash. Our purpose is to present broad lessons from the experiences of these countries that could be helpful to understand the behavior of stock markets under severe financial crisis. Several new results are found: (1) There were local price bubbles prior to the market crash in each country. (2) Price momentum may have contributed to the share price increase prior to the crash but not during the period of crisis or the market reversal. (3) The price bubbles in these countries were mainly among the most liquid and most volatile shares. (4) Asset liquidity was found to cause returns to behave differently in quiet versus extraordinary period.

This work investigates the volatility spillovers across stock markets and the nature of such spillovers through different periods of crises and tranquility.

Using daily stock return volatility data from June 2003 to June 2021, the generalized forecast error variance decomposition method (based on Diebold and Yilmaz, 2012 approach) is employed to measure the degree of volatility spillovers/connectedness among stock markets of 24 Asia–Pacific and 12 European Union (EU) economies.

The empirical results from static analysis suggested that about 28.1% (63.7%) of forecast error variance in return volatility for Asia–Pacific (EU) markets is due to spillovers. The evidence from dynamic analysis suggested that during mid of the global financial crisis, European debt crisis (EDC) and Covid-19, the gross volatility spillovers for Asia–Pacific (EU) was around 67% (80%), 65% (80%) and 73% (67%), respectively. The degree of net volatility transmission from Singapore (Denmark) to other Asia–Pacific (EU) markets was found to be highest.

The findings have crucial implications for the investors and portfolio managers in assessment of risk and optimum allocation of assets and investment decisions.

This study adds to the literature on risk management by systematically examining the impact of global financial crises, EDC and Covid-19 on the market interactions by capturing the magnitude, duration and pattern of the shock-specific market volatilities for a large sample of Asian and European markets using recent and large data set.

The purpose of this paper is to examine financial market integration in major South Asian financial markets: Bangladesh, India, Pakistan and Sri Lanka. Also to identify the required policy interactions and structural changes vital for broader economic integration.

This research opted for an empirical study employing co‐integration and causality techniques using a sample of stock and bond market data for major South Asian countries.

Empirical results show that both stock and bond returns are co‐integrated, indicating common stochastic trends. Stock market integration appears to be much stronger compared to the less developed and data deficient bond markets.

The study relies on widely cited empirical methodology. However, adopting alternative specifications and also allowing for time variant factors while examining inter‐linkages between stock and bond markets seem to be appropriate for robustness of results.

Increased integration would help in reducing arbitrage opportunities in these financial markets, having implications for market participants and promoting economic growth through financial deepening, in general. Since the degree of integration is dependent on policy and institutional infrastructure, ongoing efforts to develop financial sectors and reforms would need to be accelerated to further strengthen the degree of convergence between securities markets.

The paper fulfills an identified need to examine financial market integration in the SAARC region, using data for both stock and bond markets. This is the first study to use bond market data for SAARC countries and it also adds to the limited literature of bond market integration.

This study aims to examine the tail connectedness between the Chinese and Association of Southeast Asian Nations (ASEAN) stock markets. More specifically, the authors measure the return spillovers at three quantile levels: median (t = 0.5), lower extreme (t = 0.05) and upper extreme (t = 0.95). The connectedness at extreme upper and lower quantiles provides insightful information to investors regarding tail risk propagation, which ultimately suggests that investors adjust their portfolios according to the extreme bullish and bearish market conditions.

The authors employ the quantile connectedness approach of Ando et al. (2022) to examine the quantile transmission mechanism among the ASEAN and Chinese stock markets.

The results show significant evidence of a higher level of connectedness between Chinese and ASEAN stock markets at extreme upper and lower quantiles compared to the median quantiles, which suggests the use of a quantile-based connectedness approach instead of an average-measure-based one. Furthermore, the time-varying connectedness analysis shows that the total spillovers reach the highest peaks during the global financial crisis, the Chinese stock market crash and the COVID-19 pandemic at the upper, lower and median quantiles. Finally, the static and dynamic pairwise spillovers between the Chinese and ASEAN markets vary over quantiles as well.

This study is the first attempt to examine quantile vector autoregression (VAR)-based return spillovers between China and ASEAN stock markets during different market statuses. Besides, the COVID-19 has intensified the uncertainty in Asian countries, mainly China and ASEAN economies.

The study investigates the interdependence of the stock markets between the following countries Hong Kong, Japan, Korea, Taiwan, Indonesia, Malaysia, Philippines, Singapore, Thailand and the advanced stock markets of Australia, Germany, United Kingdom and the United States. Using data from 1994 to 2003 the paper employs both correlation, causality and cointegration analysis to describe the behaviour of the above stock market indices over the period pre and post the 1997 Asian Financial Crises. The paper investigates both the short- and long-run relationships between the Asian markets and the markets of selected advanced industrial countries.