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The aim of this study is to examine the nature and determinants of stock market integration between India and other Asia–Pacific countries (Malaysia, Hong Kong, Singapore, South Korea, Japan, China, Indonesia, the Philippines, Thailand and Taiwan) over the period 1991–2021.

Unit root tests, the dynamic conditional correlation-Glosten Jagannathan and Runkle-generalized autoregressive conditional heteroscedasticity (DCC-GJR-GARCH), pooled ordinary least squares (OLS) regression and random effects models are employed for the analysis.

The empirical results show that the DCC between each pair of sample countries is less than 0.5, indicating weak ties between the pairs of sample countries. Also, the DCC between India and other Asia–Pacific stock markets is positive and low, implying low level of integration. The correlation between India and China stock markets is found to be the highest, implying significant level of integration. The main reason for it would be strong economic linkages and bilateral trade relationship between India and China. Moreover, gross domestic product (GDP), interest rate (IR), consumer price index (CPI)-inflation and money supply (MS) differentials are the major driver of stock market integration between India and other Asia–Pacific countries.

The findings of the study have important implications for investors, portfolio managers and policymakers. It is found that the DCC between India and other Asia–Pacific countries (considered in the study) except China is low, which indicates weak ties between the pairs of sample countries. This implies that the Indian stock market provides good investment opportunities for foreign investors. Also, investors and portfolio managers can attain more diversified benefits and can minimize country risk by investing across Asia–Pacific countries. Further, knowledge about the factors that integrate the Indian stock market with the other Asia–Pacific stock markets will help policymakers frame suitable economic and financial stabilization policies.

This study contributes to the extant literature: first, by examining the linkages of Indian stock market with other Asia–Pacific countries; second, although previous studies confirmed the existence of linkages among the various stock markets, few researchers pay attention to the factors driving the process of stock market integration. This study provides additional evidence by examining the significant macroeconomic factors driving the process of such integration in the Asia–Pacific region considered under the study.

This chapter examines dynamic connectedness among emerging Asian equity markets as well as explores their linkages vis-à-vis other major global markets. We find that international equity markets are tightly integrated. Measuring connectedness based on a generalized Vector Autoregressive (VAR) model, more than half of all total forecast error variance in equity return and volatility shocks come from other markets as opposed to country own shocks. When examining the degree of connectedness over time, we find that international stock markets have become increasingly connected, with a gentle upward trend since the Asian financial crisis (AFC) but with a rapid burst during the global financial crisis (GFC). Despite the growing importance of Asian emerging markets in the world economy, we find that their influence on advanced economies are still relatively small, with no significant increase over time. During the past decade, advanced markets have been consistently net transmitters of shocks while emerging Asian markets act as net receivers. Based on the nature of equity shock spillovers, we also find that advanced countries are still tightly connected among themselves while intraregional connectedness within Asia remains strong. By investigating whether uncertainty plays an important role in explaining the degree of stock market connectedness, we find that economic policy uncertainty (EPU) from the US is an important source of financial shock spillover for the majority of international equity markets. In contrast, US financial market uncertainty as proxied by the VIX index drives equity market spillovers only among advanced economies.

This paper aims to provide new perspectives on the integration of East Asian stock markets and the dynamic volatility transmission to the Bitcoin market utilising daily data from 2014 to 2020.

The authors undertake comprehensive analyses of the dependency dynamics, systemic risk and volatility spillover between major East Asian stock and Bitcoin markets. The authors employ a vine-copula-CoVaR framework and a VAR-BEKK-GARCH method with a Wald test.

(a) With exception of KS11 and N225; HSI and SSE; HSI and KS11, which have moderate dependence, dependencies among other markets are low. In terms of tail risk, the upper tail risk is more significant in capturing strong common variation. (b) Two-way and asymmetric risk spillover effects exist in all markets. The Hong Kong and Japanese stock markets have significant risk spillovers to other markets, and quite notably, the Chinese stock market is the largest recipient of systemic risk. However, the authors observe a more significant risk spillover from the Chinese stock market to the Bitcoin market. (c) The VAR-BEKK-GARCH results confirm that the Korean market is a significant emitter of volatility spillovers. The Bitcoin market does provide diversification benefits. Interestingly, the Chinese stock market has an intriguing relationship with Bitcoin. (d) An increase in spillovers in East Asia boosts spillovers to Bitcoin, but there is no intuitive effect of Bitcoin spillovers on East Asian spillovers.

For the first time, the authors examine the dynamic linkage between Bitcoin and the major East Asian stock markets.

The purpose of this paper is to investigate the long-run equilibrium relationship between developed, emerging and frontier markets of the Asia-Pacific region during January 2000 to June 2016.

Zivot and Andrews’ unit root test is used to examine the existence of unit root in index series in the presence of a structural break. Gregory and Hansen’s test of cointegration is employed to examine the stable long-run relationship between the indices under study.

The results suggest that the emerging markets of China and Thailand and the frontier markets of Sri Lanka and Pakistan are fairly segmented from most of the markets in the Asia-Pacific region. Hence, these markets provide good diversification opportunities to global investors. Bidirectional cointegration analysis indicates that emerging and frontier markets influence developed markets. Hence, it can be inferred that the de facto position that only bigger markets influence small markets no longer holds true in the current environment.

The findings of this study will provide valuable inputs to global investors for creating an optimal investment portfolio.

This study does a comprehensive examination of market integration in the Asia-Pacific region. It also contributes to the thin body of work done on frontier markets. Unlike past studies, this paper analyzes the bidirectional cointegration relationship to examine if the notion that only bigger markets influence smaller markets holds true or not. Finally, this study employs advanced techniques of unit root test and cointegration test that consider structural breaks in the models.

The purpose of this paper is to investigate the international information transmission of return and volatility spillovers from US and Japan markets to Asia‐Pacific markets using daily stock market return data covering the period (1991‐2004).

This paper considers a volatility spillover model by applying a bivariate Baba, Engle, Kraft and Kroner‐Generalized Autoregressive Conditional Heteroskedastic model, for each of the Asia‐Pacific countries against the Japan and the USA using daily returns for the period (1991‐2004). Splitting the sample into two non‐overlapping sub‐samples, the paper investigates whether the efforts for more economic, monetary and financial integration have fundamentally altered the sources and intensity of volatility spillovers to the individual stock market.

In the majority of the markets under scrutiny, we provide evidence of direct volatility spillovers, running mainly from the Japanese and US markets and pointing to more rapid information transmission during the recent years. First, the volatility of the Asia‐Pacific markets is becoming influenced more by the US market for the recent years. Second, for international investors to get profits from the returns of Asia‐Pacific securities, it is necessary to pay attention to the US market directly. Third, Korea, Singapore and Hong Kong are among the most Asia‐Pacific markets vulnerable to shocks from US investors due to the large ratio of portfolio holding. However, implementing global hedging strategies on Asia‐Pacific markets requires the information concerning the Japanese volatility behaviour.

This paper should be of interest to a broad practitioners and academics including those interested in modelling volatility for financial market risk management.

Aims to investigate the long‐run and short‐term relationships among four Asian property stock markets of Japan, Hong Kong, Singapore and Malaysia; and four European property stock markets of UK, France, Germany and Italy. Additionally, aims to examine the relationships between equally‐weighted Asian and European regional property stock indices.

The long‐term analysis is undertaken using Johansen multivariate cointegration approach. The degree of short‐term dependence is investigated with an extended EGARCH model for evidence of mean and volatility spillovers across the property stock markets.

The combined findings of minimal cointegration, weak mean transmission and lack of significant evidence of cross‐volatility spillovers among the Asian and European property stock markets imply that investors would benefit from diversifying property stock portfolios internationally in Asia and Europe in the short‐ and long‐run.

This study contributes significantly to the empirical literature on capital asset pricing and on the risk‐return performance of international real estate. In particular, the findings from the study will be useful for European investors to understand better the potential portfolio implications of investing in Asian real estate.

The purpose of this paper is to test whether the volatility of regional stock markets’ is common or country-specific for 46 international markets of the Asian, European, African and Latin American regions using the Morgan Stanley Capital International daily prices in the period from January 1998 to December 2009. Further, the study has been divided into two sub-periods to distinguish the effects of the current sub-prime financial crisis and to determine whether the crisis has an impact on the fluctuations of common component of stock market volatility.

The paper applies the time-varying weighting methodology of Lumsdaine and Prasad (2003) to determine whether the volatility fluctuation is country-specific or common across the countries.

The results evidence that the volatility of stock returns is due to common factors, rather than country-specific ones, but this is not always the case. However, this common component is more stable in European and Latin American countries than in the Asia-Pacific and African regions. Furthermore, the results suggest that the influence of a common component has been enhanced significantly during the current sub-prime financial crisis.

The study has implication for domestic and international investors, portfolio managers, as well as policy-makers to implement economic and financial policy that promote stability, reduce vulnerability to crises and encourage sustained growth and living standards.

To the best of the authors’ knowledge, this is the first study to include four regional samples and test the common component of fluctuations of regional stock markets volatility.

The Asia Pacific region is a geographical appellation that many still feel with justification will be the dynamic economic arena for this century. Accepting this premise and acknowledging the importance of the role of finance in that development brings with it the imperative to gain a greater understanding of the unique financial characteristics of the region. This chapter has two major pursuits. The first goal is to provide some background on the various markets of the region. An understanding of institutional detail (size and scope) of the relevant markets affords a view that lends or detracts from the credibility of intermarket comparisons. An exposure to institutional detail also supplies information that may bear on the statistical results of the empirical analysis. The vital roles played by stock markets of pricing capital, issuing new shares, providing a liquidity-creating secondary feature, serving as a vehicle for asset transfer and providing a linkage to international capital markets are as important to emerging markets as to developed countries. However, fixed income markets are still not as well developed in emerging markets and therefore an even heavier capital sourcing burden is placed on emerging stock markets. The Asia Pacific region derivatives markets (futures and options) play their risk-transfer role in equity and fixed income areas and are integral to the scene. The second pursuit in this chapter is to provide a thumbnail sketch of each of the contributions. The summary will include the nature of the empirical work, the type of methodology or statistical technique applied, and the results. In addition the results will be viewed in light of any reinforcement or digression from a priori expectations drawn from other markets. This volume contains 19 original research papers from 36 authors who represent major academic and financial institutions around the globe.

We investigate whether or not the effects of the subprime financial crisis on 12 Asian economies are similar to those of the Asian financial crisis by examining volatility spillovers and time-varying correlation between the US and Asian stock markets. After pretesting volatility causality and constancy of correlation, we estimate an appropriate smooth-transition correlation VAR-GARCH model for each Asian stock market. First, the empirical evidence indicates stark differences in stock market linkages between the two crises. The volatility causality comes from the crises-originating country. Volatility in Asian stock markets Granger-caused volatility in the US market during the Asian crisis, whereas volatility in the US stock market Granger-caused volatility in Asian stock markets during the subprime crisis. Second, decreased correlations during the period of financial turmoil were observed, especially during the Asian financial crisis. Third, the estimated points of transition in the correlation are indicative of market participants’ awareness of the ensuing stock market crashes in July 1997 and in September 2008.

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.