scholarly journals Determinants of Stock Market Liquidity: Auto Regressive Distributed Lag Based Evidence from the Emerging Equity Market

2021 ◽  
Vol 7 (3) ◽  
pp. 737-749
Author(s):  
Muhammad Husnain ◽  
Aijaz Mustafa Hashmi ◽  
Mumtaz Ahmad
Keyword(s):  
Stock Market ◽  
Equity Market ◽  
Market Liquidity ◽  
Market Volatility ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Auto Regressive ◽  
Stock Market Liquidity ◽  
The Impact

Purpose: This research examines the impact of oil prices, exchange rate, stock market index, market volatility and inflation on the stock market liquidity. Design/Methodology/Approach: The sample period is 20 years from 2000 to 2019 on monthly basis. We employ the auto-regressive distributed lag (ARDL) approach for analyzing long run and short run nature of relationship among variables. We also apply diagnostics including, normality check, serial correlation test, heteroscedasticity test and CUSM models for the stability of the models.  Findings: We finds that exchange rate and inflation have a long-term negative relationship, but oil prices, stock returns, and stock market volatility have a long-term positive relationship with stock market liquidity. Furthermore, these findings are robust under three different proxies of stock market liquidity for three sectors: text composite, textile weaving, and textile spinning. Implications/Originality/Value: This study extend the existing debate on the relationship between macroeconomic variables and stock market liquidity in developed world to the emerging equity market. It also contributes by examining the impact of macroeconomic variables on the sectorial levels in equity market by using three proxies for stock market liquidity including, Amihud liquidity, average trading and trading volume.

scholarly journals Long Run and Short Run Co movement among Oil Prices and Stock Market Liquidity: Evidence from the Emerging Equity Market of Pakistan

2021 ◽  
Vol 3 (3) ◽  
pp. 231-241
Author(s):  
Sania Sarfraz ◽  
Mumtaz Ahmad ◽  
Muhammad Husnain
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Oil Prices ◽  
Equity Market ◽  
Market Liquidity ◽  
Market Volatility ◽  
Long Run ◽  
Short Run ◽  
Stock Market Liquidity

Abstract: The objective of this study is to examine the long run and short run relationship between oil prices and stock market liquidity in Pakistan stock exchange. Design/Methodology/Approach: The sample spans 10 years from 2010 to 2019. We use auto-regressive distributed lag (ARDL) to examine long-term and short-term relationships between oil prices, exchange rate, stock market index, market volatility and inflation and stock market liquidity. We use normality checks, serial correlation tests, heteroscedasticity tests, and CUSM models to assess model stability. Findings: Result shows that there exist a long-term negative association between exchange rate and inflation, but a positive relationship is revealed between oil prices, stock returns, and market volatility. These conclusions hold for three sectors i.e. automobile, cement and sugar. Implications/Originality/Value: This study extends the existing debate on the relationship between macroeconomic variables and stock market liquidity to the emerging equity market. For this, it uses three proxies for stock market liquidity: Amihud liquidity, average trading volume, and trading volume average.

Ownership concentration, earnings management and stock market liquidity: evidence from Malaysia

2017 ◽  
Vol 17 (3) ◽  
pp. 490-510 ◽  
Author(s):  
Hamdan Amer Al-Jaifi
Keyword(s):  
Stock Market ◽  
Earnings Management ◽  
Instrumental Variables ◽  
Generalized Method Of Moments ◽  
Market Liquidity ◽  
Ownership Concentration ◽  
Estimation Methods ◽  
Content Type ◽  
Stock Market Liquidity ◽  
The Impact

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.

scholarly journals The Role of Ownership Structure and Board Characteristics in Stock Market Liquidity

2021 ◽  
Vol 9 (4) ◽  
pp. 74
Author(s):  
Wajih Abbassi ◽  
Ahmed Imran Hunjra ◽  
Suha Mahmoud Alawi ◽  
Rashid Mehmood
Keyword(s):  
Corporate Governance ◽  
Stock Market ◽  
Ownership Structure ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Fixed Effect Model ◽  
Market Liquidity ◽  
Board Characteristics ◽  
Stock Market Liquidity ◽  
The Impact

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.

Does Stock Liquidity Affect Corporate Debt Maturity Structure?

2020 ◽  
pp. 2150005
Author(s):  
Joseph M. Marks ◽  
Chenguang Shang
Keyword(s):  
Stock Market ◽  
Debt Maturity ◽  
Market Liquidity ◽  
Stock Liquidity ◽  
Yield Spreads ◽  
Debt Maturity Structure ◽  
Bond Yield ◽  
Maturity Structure ◽  
Stock Market Liquidity ◽  
The Impact

We show an inverse relation between the use of short-term debt and stock market liquidity. This finding is robust to a battery of control variables, alternative measures of the key variables, and various identification strategies. A difference-in-difference (DiD) approach suggests that the relation between debt maturity structure and stock liquidity may be causal. The impact of stock liquidity on debt maturity is stronger in the presence of large institutional holdings and when borrowers are subject to greater refinancing risk. We also provide evidence that firms with liquid stock tend to issue longer-term bonds and enjoy lower bond yield spreads. Overall, our results support the view that the governance function of stock market liquidity reduces the necessity of debt market monitoring, which allows firms to shift toward longer-term debt to avoid the costs and risk of frequent refinancing.

scholarly journals Stock market liquidity, the great lockdown and the COVID-19 global pandemic nexus in MENA countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anas Alaoui Mdaghri ◽  
Abdessamad Raghibi ◽  
Cuong Nguyen Thanh ◽  
Lahsen Oubdi
Keyword(s):  
Stock Market ◽  
Negative Impact ◽  
Market Liquidity ◽  
Mena Region ◽  
Stock Market Returns ◽  
Content Type ◽  
Mena Countries ◽  
Global Pandemic ◽  
Stock Market Liquidity ◽  
The Impact

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.

The Impact of Investor Sentiment on Stock Market Liquidity: The Mediating Role of Investor Herding Behavior “An Empirical Study on the Egyptian Stock Exchange”

2021 ◽  
pp. 31-60
Author(s):  
A. H. El-Gayar ◽  
◽  
I. A. El-Hayes ◽  
S. Metawa ◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Empirical Study ◽  
Mutual Fund ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Theoretical Background ◽  
Market Liquidity ◽  
Indirect Impact ◽  
Stock Market Liquidity ◽  
The Impact

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.

scholarly journals A sustainable economy for Senegal: A transition to a digital-based economy

2018 ◽  
Vol 6 (12) ◽  
pp. 11-25
Author(s):  
NDIAYE SOULEYMANE
Keyword(s):  
Economic Growth ◽  
Information And Communication Technologies ◽  
Positive Impact ◽  
Estimation Method ◽  
Communication Technologies ◽  
Distributed Lag ◽  
Information And Communication ◽  
Auto Regressive ◽  
The Impact

The purpose of this article is to analyze the sustainability of the Senegalese economy towards a digital transition. To do this, this work focused on modeling the relationship between digital technologies and economic growth. We applied the ARDL (Auto-Regressive Distributed Lag) estimation method to model the long-term and short-term dynamics of the impact of the digital economy on economic growth in Senegal. The results of the estimates, as part of the specification used, lead to the conclusion that there is a positive impact of information and communication technologies (ICT) on economic growth. These results are mainly due to the productive nature of investment and factor productivity.

Sign in / Sign up

Export Citation Format

Share Document