The Impact of Stock Market Liberalization on the Efficiency of Emerging Stock Markets

Author(s):  
Sonali Jain-Chandra
2016 ◽  
Vol 33 (4) ◽  
pp. 553-575 ◽  
Author(s):  
Sheung Chi Chow ◽  
Yongchang Hui ◽  
João Paulo Vieito ◽  
ZhenZhen Zhu

Purpose This paper aims to examine the impact of stock market liberalization on efficiency of the stock markets in Latin America. Design/methodology/approach Daily stock indices from Latin American countries, including Brazil, Mexico, Chile, Peru, Jamaica and Trinidad and Tobago, are used in the analysis. To examine the impact of stock market liberalization on efficiency, the authors use several approaches, including the runs test, Chow–Denning multiple variation ratio test, Wright variance ratio test, the martingale hypothesis test and the stochastic dominance (SD) test, on the above Latin American stock market indices. Findings The authors find that stock market liberalization does not improve stock market efficiency in Latin America. Originality/value This investigation is among the first to examine the impact of stock market liberalization on the efficiency of the stock markets. It is among the first to examine the impact of stock market liberalization on the efficiency of the Latin American stock markets. It is also among the first to apply the martingale hypothesis test and a SD approach on issue about efficient market.


Author(s):  
Yuming Zhang ◽  
Juanjuan Zhang ◽  
Zhang Cheng

Corporate green innovation is an effective way to achieve energy conservation and emission reduction. Enterprises’ willingness to pursue green innovation is increasingly affected by external factors. By using a quasi-natural experiment of China’s Stock Connect program, we investigate the impact of stock market liberalization on corporate green innovation. We find that stock market liberalization increases enterprises’ green innovation, especially for state-owned enterprises. We also find that stock market liberalization plays a stronger role in promoting the green invention patents of enterprises whose managers have overseas experience and enterprises in areas with a higher degree of openness. Our mechanism analysis suggests that stock market liberalization attracts the attention of securities analysts and increases managers’ focus on environmental protection, thereby promoting corporate green innovation. Our findings show that stock market liberalization plays an important role in the governance of firms’ non-financial behavior, which has important theoretical and practical implications.


2015 ◽  
Vol 7 (4) ◽  
pp. 132
Author(s):  
Marwan Mohammad Abu Orabi ◽  
Talal Abed-Alkareem Alqurran

<p>The Middle East financial markets have experienced several unexpected volatility shifts during the last two decades had recorded a serious impact on these markets and caused a financial turmoil that has elevated the uncertainties in the region. In view of this, more empirical findings should be learned and documented for future benefits. As one of the affected countries, Jordan was chosen as a case to provide empirical insight on the matter. This paper analyzed the behavior of Jordan’s stock market (Amman Stock Exchange, ASE) during the intervals of high uncertainty. It highlighted the impact of volatility on this market in terms of its efficiency and returns, during 2004-2012 periods, by utilizing the iterated cumulative sums of squares (ICSS) algorithm, GARCH and GARCH-M models. Sudden changes in volatility seem to arise from the evolution of emerging stock markets, exchange rate policy changes and financial crises. Evidence also reveals that when sudden shifts are taken into account in the GARCH models, the persistence of volatility is reduced significantly in every series. Research results provided significant empirical evidence for positive risk-return relationship in the stock exchange. Moreover, this study also found that the stock market, across all sectors, was more sensitive to global news events as compared to the local events. The asymmetrical responses to good and bad news were also an important characteristic of the ASE market behavior.</p>


2019 ◽  
Vol 3 (2) ◽  
pp. 157-178
Author(s):  
Bilal İlhan

Purpose Most of the major Islamic countries’ stock exchanges have not been able to perform at the same pace with the major emerging countries’ stock exchanges since the mid of 1990s. The purpose of this paper is to examine the implications of stock market liberalization on cost of capital as one of the crucial driver to stock market development and physical investment growth in emerging Islamic countries. Design/methodology/approach This study employs static panel data techniques on the sample of seven emerging Islamic countries over the years 1989-2008. Findings The findings of this study suggest that stock market liberalization significantly reduces cost of capital in the stock markets of sample Islamic countries, which carries policy-oriented implications. Reduction in the cost of capital increases the number of exchange-traded companies, profitability of projects and aggregate investment level; therefore, the study findings are highly concerned by the economic policymakers, corporations and investors alike. Research limitations/implications In the literature, different proxies are employed to measure stock market liberalization and cost of capital as well. Due to data limitations, this study could not employ different proxies for both, especially for stock market liberalization, for robustness purpose. That limitation further restricted the coverage of Islamic stock markets and time period. Therefore, generalization of the study results for overall Islamic stock markets can be slightly drawn. Originality/value The paper provides further understanding regarding the effects of SML on cost of capital, thereby indirectly on the stock market development, in the context of EIC.


Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1212
Author(s):  
Pierdomenico Duttilo ◽  
Stefano Antonio Gattone ◽  
Tonio Di Di Battista

Volatility is the most widespread measure of risk. Volatility modeling allows investors to capture potential losses and investment opportunities. This work aims to examine the impact of the two waves of COVID-19 infections on the return and volatility of the stock market indices of the euro area countries. The study also focuses on other important aspects such as time-varying risk premium and leverage effect. This investigation employed the Threshold GARCH(1,1)-in-Mean model with exogenous dummy variables. Daily returns of the euro area stock markets indices from 4th January 2016 to 31st December 2020 has been used for the analysis. The results reveal that euro area stock markets respond differently to the COVID-19 pandemic. Specifically, the first wave of COVID-19 infections had a notable impact on stock market volatility of euro area countries with middle-large financial centres while the second wave had a significant impact only on stock market volatility of Belgium.


Author(s):  
Abhinav Anand ◽  
Sankarshan Basu ◽  
Jalaj Pathak ◽  
Ashok Thampy

2021 ◽  
pp. 1-24
Author(s):  
SANJEEV KUMAR ◽  
JASPREET KAUR ◽  
MOSAB I. TABASH ◽  
DANG K. TRAN ◽  
RAJ S DHANKAR

This study attempts to examine the response of stock markets amid the COVID-19 pandemic on prominent stock markets of the BRICS nation and compare it with the 2008 financial crisis by employing the GARCH and EGARCH model. First, average and variance of stock returns are tested for differences before and after the pandemic, t-test and F-test were applied. Further, OLS regression was applied to study the impact of COVID-19 on the standard deviation of returns using daily data of total cases, total deaths, and returns of the indices from the date on which the first case was reported till June 2020. Second, GARCH and EGARCH models are employed to compare the impact of COVID-19 and the 2008 financial crisis on the stock market volatility by using the data of respective stock indices for the period 2005–2020. The results suggest that the increasing number of COVID-19 cases and reported death cases hurt stock markets of the five countries except for South Africa in the latter case. The findings of the GARCH and EGARCH model indicate that for India and Russia, the financial crisis of 2008 has caused more stock volatility whereas stock markets of China, Brazil, and South Africa have been more volatile during the COVID-19 pandemic. The study has practical implications for investors, portfolio managers, institutional investors, regulatory institutions, and policymakers as it provides an understanding of stock market behavior in response to a major global crisis and helps them in taking decisions considering the risk of these events.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.


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