Through the Lens of Recession 2.0: Diversification Dynamics Between the Leading Asian Stock Markets

2021 ◽  
pp. 097226292098395
Author(s):  
Manu K. S. ◽  
Surekha Nayak ◽  
Rameesha Kalra

The focus of this article is to analyse the inter-linkages between eight leading stock markets in Asian continent from the period of July 2011 to February 2018. This period holds relevance as this was the time when Recession 2.0 set in, which adversely affected the developed economies; however, the developing economies withstood the crisis without much of an impact. Co-integration and Granger causality tests were conducted to probe the inter-linkages. Study revealed a positive impact on Asian stock market indices collectively on each of the indexes. The highest number of unidirectional causalities was to KOPSI and NIFTY from rest of the stock indices. Results confirmed that no co-integration relationship existed among the selected indices indicating favourable diversification opportunities. Thus, the study fosters global market participants and policymakers to consider the nitty-gritties of stock market integration so as to benefit from international stock market diversification in the Asian region.

2016 ◽  
Vol 28 (1) ◽  
pp. 38-44 ◽  
Author(s):  
Vilma Deltuvaitė

Abstract Recent rapid development of the Baltic stock markets raises the question about stock market integration level in these countries. Some empirical aspects of the Baltic stock market integration have been analysed in the scientific literature, however, a comprehensive analysis on the Baltic stock market integration level is still missing. The aim of the paper is to assess the regional integration level of the Baltic stock markets. The research object is stock markets in the Baltic countries. The following research and statistical methods have been applied in this study: the systemic and comparative analysis of the scientific literature, Spearman’s correlation coefficient, dynamic conditional correlation generalized autoregressive conditional heteroskedasticity model, Granger causality test, generalized impulse response analysis, Johansen cointegration test, autoregressive distributed lag model and error correction model. The main findings of this empirical study are (a) all three Baltic stock markets are closely related markets, (b) however, the Latvian stock market is more isolated at the regional level comparing to other two Baltic stock markets (c) whereas Estonian and Lithuanian stock markets are more interrelated.


2019 ◽  
Vol 11 (2) ◽  
pp. 303 ◽  
Author(s):  
Ahmed Shafique Joyo ◽  
Lin Lefen

A decade after the global financial crisis, the developments in stock market integration have increased the stability and liquidity of markets, and decreased the diversification benefits for investors. International trade is an important determinant of stock market interdependence. The objective of this study is to analyze the co-movements and the portfolio diversification between the stock markets of Pakistan and its top trading partners, namely China, Indonesia, Malaysia, the United Kingdom, and the United States. We employed Dynamic Conditional Covariance (DCC)-Generalized Autoregressive Conditional Heteroscedasticity (GARCH) methodology with student t-distribution to examine time-varying correlation and volatilities of stock markets of Pakistan and its trading partners. We used Morgan Stanley capital international (MSCI) daily returns data of developed and emerging markets for the period 2005 to 2018. The results of the study highlighted that stock markets of Pakistan and its trading partners were closely integrated during the financial crisis of 2008, while the integration among stock markets decreased substantially after the period of financial crises. Furthermore, the results showed the slow decay process. Therefore, it is a positive sign for the Pakistani and international investors to diversify their portfolio among the stock markets of Pakistan and its trading partners.


Author(s):  
Damber S Kharka ◽  
M.S Turan ◽  
K.P Kaushik

While the topic of stock market integration has been one of the highly researched area in the literature but focus had mostly been on the stock markets of developed economies.  Few have focused on analyzing market integration in South Asian region and no inclusion of Bhutanese stock has been found in the literature in any of the earlier studies. The objective of this paper is to analyze market integration between Bhutanese, Indian and other indices in the region. We also analyzed whether other indices in the region are co-integrated with Indian stock market, as Indian market is more proficient in the region and can be believed to have influences on others. We analyzed all indices in the region on one to one basis (using pairwise co-integration test). We used weekly data from January 2006 to December 2011 period from the stock exchanges of (Bhutan, India, Nepal, Bangladesh, and Pakistan). Applying, Dickey-Fuller method, we tested unit root for each stock indices and used Johansen co-integration approach pairwise to test the long-term relationship between stock indices and multivariate approach to test market integration as a whole. We found that all indices are stationary at I(1) and confirmed no long-term relationship between Bhutanese stock with Indian and other regional stock markets. In fact we find no market integration either on one to one basis or for the south Asian market as a whole. Information on market integration should help market players in managing their investments in capital markets in a sustainable manner.


2013 ◽  
Vol 29 (5) ◽  
pp. 1301 ◽  
Author(s):  
Khaled Guesmi ◽  
Mohamed Hedi Arouri ◽  
Jean-Yves Moisseron ◽  
Frederic Teulon

This article investigates the stock market integration within the Middle East region. We develop a regional dynamic version of the CAPM and estimate it using a multivariate GARCH methodology. We contribute to the financial literature by proposing the first empirical work that addresses the following three questions for emerging stock markets from Middle East region: (i) What factors determine Middle East regional stock market integration? (ii) Is exchange rate risk priced in Middle East emerging stock markets? And (iii) what are the relative contributions of regional and local risk factors to the total risk premium in Middle East emerging stock markets?


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