Investor sentiment and liquidity in emerging stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dorra Messaoud ◽  
Anis Ben Amar ◽  
Younes Boujelbene

PurposeBehavioral finance and market microstructure studies suggest that the investor sentiment and liquidity are related. This paper aims to examine the aggregate sentiment–liquidity relationship in emerging markets (EMs) for both the sample period and crisis period. Then, it verifies this relationship, using the asymmetric sentiment.Design/methodology/approachThis study uses a sample consisting of stocks listed on the SSE Shanghai composite index (348 stocks), the JKSE (118 stocks), the IPC (14 stocks), the RTS (12 stocks), the WSE (106 stocks) and FTSE/JSE Africa (76 stocks). This is for the period ranging from February, 2002 until March, 2021 (230 monthly observations). We use the panel data and apply generalized method-of-moments (GMM) of dynamic panel estimators.FindingsThe empirical analysis shows the following results: first, it demonstrates a significant relationship between the aggregate investor sentiment and the stock market liquidity for the sample period and crisis one. Second, referring to the asymmetric sentiment, we have empirically given proof that the market is significantly more liquid in times of the optimistic sentiment than it is in times of the pessimistic sentiment. Third, using panel causality tests, we document a unidirectional causality between the investor sentiment and liquidity in a direct manner through the noise traders and the irrational market makers and also a bidirectional causality in an indirect channel.Practical implicationsThe results reported in this paper have implications for regulators and investors in EMs. Firstly, the study informs the regulators that the increases and decreases in the stock market liquidity are related to the investor sentiment, not financial shocks. We empirically evince that the traded value is higher in the crisis. Secondly, we inform insider traders and rational market makers that the persistence of increases in the trading activity in both quiet and turbulent times is associated with investor participants such as noise traders and irrational market makers.Originality/valueThe originality of this work lies in employing the asymmetric sentiment (optimistic/pessimistic) in order to denote the sentiment–liquidity relationship in EMs for the sample period and the 2007–2008 subprime crisis.

2017 ◽  
Vol 17 (3) ◽  
pp. 490-510 ◽  
Author(s):  
Hamdan Amer Al-Jaifi

Purpose This paper aims to examine whether ownership concentration and earnings management affect the stock market liquidity of Malaysian firms. Design/methodology/approach This study uses a sample of 2,020 yearly firm observations in Bursa Malaysia over the period 2009-2012. The ordinary least square regression is used to examine the relationships. The study undertakes a sensitivity test by regressing the main study variables by using different measurements. Another robustness test is then used, where a regression based on the change in variables and a one-year lag of the independent variables are used. Furthermore, to alleviate the concern of possible endogeneity, the simultaneity and reverse causality are checked using the lag of the dependent variable, fixed effect regression, two-stage least squares using the instrumental variables and the generalized method of moments using instrumental variables analysis. Findings The study finds that firms with a high level of ownership concentration have discrepancies in information between informed and uninformed traders, which impair the stock market liquidity. In addition, this study finds that firms with high earnings management experience greater liquidity. A possible explanation for this is that firms might manage earnings to convey private information to enhance the information content of the earnings. Overall, the evidence suggests that manipulating earnings signals information informatively, particularly in a country with a higher level of ownership concentration and a higher likelihood of expropriating minority shareholders. Originality/value This study enriches the limited empirical research devoted to the impact of earnings management and ownership concentration on stock market liquidity especially in the context of emerging economies. The findings of this study are robust to alternative liquidity measurements, to alternative estimation methods, and to endogeneity bias.


2018 ◽  
Vol 26 ◽  
pp. 15-31 ◽  
Author(s):  
Byomakesh Debata ◽  
Saumya Ranjan Dash ◽  
Jitendra Mahakud

2021 ◽  
Vol 9 (4) ◽  
pp. 74
Author(s):  
Wajih Abbassi ◽  
Ahmed Imran Hunjra ◽  
Suha Mahmoud Alawi ◽  
Rashid Mehmood

Corporate governance plays a significant role in the value of shareholders and share prices, hence stock market liquidity is affected. Previous research has mainly focused on the issue in developed markets, whereas in developing countries there is a need to analyze the influence of corporate governance on stock market liquidity. Therefore, the present study aims to examine the impact of ownership structure and board characteristics on stock market liquidity of non-financial firms of South Asian countries such as Pakistan, Sri Lanka, Bangladesh, and India. The data in the study is collected from the DataStream for the 2011–2020 period. The study uses a fixed effect model for the analysis of the data and hypotheses testing and generalized method of moments (GMM) is used to check the robustness of the results. The findings of the study indicate that institutional ownership, board size, board independence, and CEO duality have a significant and positive impact on stock market liquidity, whereas managerial ownership has a significant and negative effect on stock market liquidity.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anas Alaoui Mdaghri ◽  
Abdessamad Raghibi ◽  
Cuong Nguyen Thanh ◽  
Lahsen Oubdi

PurposeThe purpose of this paper is to investigate the impact of the global coronavirus (COVID-19) pandemic on stock market liquidity, while taking into account the depth and tightness dimensions.Design/methodology/approachThe author used a panel data regression on stock market dataset, representing 314 listed firms operating in six Middle East and North African (MENA) countries from February to May 2020.FindingsThe regression results on the overall sample indicate that the liquidity related to the depth measure was positively correlated with the growth in the confirmed number of cases and deaths and stringency index. Moreover, the market depth was positively related to the confirmed cases of COVID-19. The results also indicate that the liquidity of small cap and big cap firms was significantly impacted by the confirmed number of cases, while the stringency index is only significant for the liquidity depth measure. Moreover, the results regarding sectors and country level analysis confirmed that COVID-19 had a significant and negative impact of stock market liquidity.Research limitations/implicationsThis paper confirms that the global coronavirus pandemic has decreased the stock market liquidity in terms of both the depth and the tightness dimensions.Originality/valueWhile most empirical papers focused on the impact of the COVID-19 global pandemic on stock market returns, this paper investigated liquidity chock at firm level in the MENA region using both tightness and depth dimensions.


Author(s):  
A. H. El-Gayar ◽  
◽  
I. A. El-Hayes ◽  
S. Metawa ◽  
◽  
...  

Behavioral finance is a recent approach in financial markets that have appeared because of the complexities long faced by the traditional or neoclassical finance theory. This paper investigates the influence of investor sentiment and herding behaviour on stock market liquidity using an empirical study on the Egyptian Stock Market. We examine the direct impact of Egyptian investor sentiment on the Egyptian Stock Market liquidity. As well as the indirect impact of the Egyptian investor sentiment on the Egyptian Stock Market liquidity through the Egyptian investor herding behaviour. Therefore, the major contribution is filling the gap of indirect sentiment-liquidity impact conflict. We use the monthly data of the EGX30 index from January 2004 up to December 2018 for building up investor sentiment index, investor herding behaviour, and stock market liquidity measures. Moreover, we are using two additional types of data (closed-end mutual fund discounts and the equity open-end mutual fund flows) that represent major measures which are used to build up investor sentiment index ranging through the same time-series of the previously mentioned period of this paper. Additionally, we use four control variables for stock market liquidity, namely market volatility, excess market return, term spread, and lag of the dependent variable, considering that the fourth variable is also used for investor herding behaviour. Our result shows that the investor sentiment index has both a direct and indirect impact on stock market liquidity. In addition, regarding event study analysis’ results, there are different signs of the direct and indirect impacts and different correlations between the research variables throughout the four different events that differ completely from the usual signs and correlations of the theoretical background.


2018 ◽  
Vol 10 (1) ◽  
pp. 112-135 ◽  
Author(s):  
Byomakesh Debata ◽  
Jitendra Mahakud

Purpose This study aims to examine the relationship between economic policy uncertainty and stock market liquidity in an order-driven emerging stock market. Design/methodology/approach Empirical estimates are based on vector autoregressive Granger-causality tests, impulse response functions and variance decomposition analysis. Findings The empirical findings suggest that economic policy uncertainty moderately influences stock market liquidity during normal market conditions. However, the role of economic policy uncertainty for determining stock market liquidity is significant in times of financial crises. The authors have also observed a significant portion of variation in stock market liquidity that is attributed to investor sentiments during financial crises. Originality/value This study is original in nature and provides evidence to consider economic policy uncertainty as a possible source of commonality in liquidity in the context of an emerging market.


2018 ◽  
Vol 31 (2) ◽  
pp. 157-173
Author(s):  
Erick Rading Outa ◽  
Nelson Maina Waweru ◽  
Peterson Kitakogelu Ozili

PurposeThe purpose of this study is to examine the capital market effects of corporate governance (CG) practices of a “comply or explain” environment on stock market liquidity in a frontier market.Design/methodology/approachUsing secondary data from Nairobi Securities Exchange, the liquidity position is analyzed using panel data random effects regression against CG guidelines.FindingsThe results show a negative and significant relationship between CG compliance and stock market liquidity, suggesting that regulated CG practices improve market liquidity in Kenya. The results are remarkably robust to different measures of liquidity and supports agency and signaling theory.Practical implicationsThe authors provide evidence to show that security regulation improves stock market liquidity in a frontier market whose characteristics are thought not to favor regulation. Therefore, regulators and stakeholders could be motivated by the benefits of regulation, and this could lead to renewed effort to improve CG compliance.Originality valueThe findings show that security market regulation through CG guidelines can improve stock market liquidity in frontier markets. This offers regulators and policymakers a strong motivation to enhance security regulation to improve capital market confidence.


2020 ◽  
Vol 17 (2) ◽  
pp. 77-87 ◽  
Author(s):  
Ahmed Imran Hunjra ◽  
Uzma Perveen ◽  
Leon Li ◽  
Muhammad Irfan Chani ◽  
Rashid Mehmood

Ownership structure plays a vital role in stock market liquidity. We analyze the impact of ownership concentration, institutional ownership and earnings management on stock market liquidity. We select 114 firms from manufacturing sector of Pakistan, India, Australia and Singapore. We extract data from DataStream from 2010 to 2018 of selected countries. We apply Generalized Method of Moments (GMM) to analyze the data. We find that ownership concentration, institutional ownership and earnings management significantly affect the stock market liquidity.


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