scholarly journals Closer View at the Stock Market Liquidity: A Literature Review

2015 ◽  
Vol 7 (2) ◽  
pp. 35 ◽  
Author(s):  
Gaurav Kumar ◽  
Arun Kumar Misra

<p>Liquidity is said to be the lifeblood of stock markets. It has prominent implications for traders, regulators, stock exchanges and the listed firms. In recent years a huge amount of literature has emerged that deals with liquidity. This article classifies and organises the literature and provides a critical review of the frameworks currently available for modelling liquidity and its macroeconomic and firm specific drivers. Commonality and intraday behaviour of liquidity in various markets is discussed under the umbrella of market microstructures.  Subsequently, liquidity risk as a factor in Asset pricing is analysed taking various models in to consideration. Finally, the study reviewed the impact of liquidity on corporate finance decisions viz. dividends, firm valuation, stock split, capital structure etc.</p>

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Novi S Budiarso

Abstract This paper examine the impact of capital structure on firm performance, in Indonesian Stock Exchange. Firm performance are analyzed from the side of accounting indicators, in this research use liquidity. Because the optimal level of debt of the firm is limited by the liquidity of the assets and it depends on the average usage of the debt in the particular industry. In the other side liquidity  is  conventionally  seen  as  reflecting  investors’  degree  of  risk -aversion, The study collects  of listed firms in Indonesian Stock Exchanges during 2011 to 2012. The listed firms on sub sector trade, services and investment. Multiple Regression analysis approach was employed in carrying out this analysis. Specifically, determined the simultaneous relationships among the various variables. The results show that as partial total debt to asset significantly influences to company’s performance but long term debt to asset not significantly influences to company’s performance. Simultaneously, total debt to asset and  long term debt to asset influences company’s performance. This evidence is consistent with models of optimal capital structure and with the hypothesis that debt level changes release information about changes in firm value/performance.


2018 ◽  
Vol 13 (8) ◽  
pp. 26 ◽  
Author(s):  
Hanaa A. El-Habashy

This study aims to investigate the characteristics of corporate governance that impact the capital structure decisions in listed firms in Egypt, to test the efficiency of the research results conducted in the developed Western countries in an emerging economy. A sample of 240 observations from the most active non-financial companies collected in the period 2009-2014 was used for hypothesis testing. Multiple regression models (OLS) were used for data analysis. Seven variables are used in measuring the attributes of corporate governance; they are the managerial ownership, institutional shareholding, shares owned by a large block, board size, board composition, separation of CEO/Chair positions and audit type. Four ratios were calculated for measuring the capital structure, they are long-term and short-term debt to assets, total debt to assets and debt to equity. The results suggest that corporate governance attributes have a significant impact on the capital structure decisions of listed Egyptian companies. In addition, firm-specific factors such as profitability, tangibility, growth opportunities, corporate tax, firm size and non-debt tax shields influence the choice of capital structure in Egypt. The results showed the same relationship with what was obtained in developed Western countries. The paper offers some contribution in the literature and helps to understand the impact of corporate governance on Egypt's capital structure as an emerging economy.


2014 ◽  
Vol 27 (2) ◽  
pp. 150-168
Author(s):  
Etumudon Ndidi Asien

Purpose – This paper aims to examine the impact of firm-specific characteristics on managers’ identity disclosure in the Gulf Cooperation Council (GCC) region. Design/methodology/approach – Research data were collected from 2010 annual reports and financial statements of 403 listed firms in the GCC countries. The data were analyzed by multiple regression models. Findings – Evidence suggesting that managers’ identity is significantly disclosed by firms that separate the office of chairman from that of chief executive officer was documented. It was also found that mature firms significantly disclose their managers’ identity. Our finding suggests that firms’ declaration that they comply with a set of corporate governance code leads them to disclose managers’ identity. However, we find that firms that are related to the state significantly disclose their managers’ identity, contrary to expectation. Research limitations/implications – One limitation is the lack of a uniform classification of industries by the stock exchanges in the GCC region. The implication of this is that researchers are lacking a uniform standard to apply in their research. Another limitation is the use of only 2010 annual reports and accounts; thus, there is a problem of inter-temporal generalizability. As markets in the GCC countries are evolving, it will be interesting to capture the state of managers’ identity disclosure after 2010. Practical implications – The paper has the potential to influence firms in the GCC region to begin disclosing managers’ personal details and other contact information. In addition, there is the prospect that market regulators in the GCC region and other emerging markets who may read this research may now require firms to disclose their managers’ identity. Originality/value – This is an Original research paper.


2020 ◽  
Vol 17 (4, Special Issue) ◽  
pp. 377-390
Author(s):  
Shab Hundal ◽  
Anne Eskola

Firms’ financing, boards of directors’ characteristics, investments, and firm-performance (financial and non-financial) occupy a pivotal place in corporate finance and corporate governance literature. The current study explores if causalities between the abovementioned four distinct albeit inter-related phenomena follow any pattern. The data comprising of 1240 firm-years belonging to Finland, Norway, Sweden, and Denmark for the period of 2003 to 2018 have been analyzed by applying multivariate linear regression and principal component analysis. The findings show that the impact of boards of directors’ characteristics is stronger on capital structure, however, weaker on investments and financial performance. The major contribution of the article is creating a set orderly and sequential causalities between financing, boards of directors’ characteristics, investments, and firm-performance.


2013 ◽  
Vol 2 (4) ◽  
pp. 135 ◽  
Author(s):  
Anila Çekrezi

This paper attempts to explore the impact of firm specific factors on capital structuredecision for a sample of 65 non- listed firms, which operate in Albania, over the period2008-2011.In this paper are used three capital structure measures ; short –term debt tototal assets (STDA), long- term debt to total assets (LTDA) and total debt to total assets(TDTA) as dependent variables and four dependent variables: tangibility(TANG),liquidity (LIQ), profitability(ROA=return on assets) and size (SIZE). The investigationuses panel data procedure and the data are taken from balance sheets and include onlyaccounting measures on the firm’s leverage. This study found that tangibility (the ratio offixed assets to total assets), liquidity (the ratio of current assets to current liabilities)profitability (the ratio of earnings after taxes to total assets) and size (natural logarithm oftotal assets) have a significant impact on leverage. Also empirical evidence reveals asignificant negative relation of ROA to leverage and a significant positive relation ofSIZE to leverage. And the second objective of this study is to identify the impact ofindustry classification on firm’s leverage, using a dummy variable for the trade sector. Soone of the hypothesis tested is if financial leverage is independent of industryclassification. Results reveal that long term debt to total assets and total debt to totalassets ratios are significantly different across Albanian industries.


2018 ◽  
Vol 7 (2) ◽  
pp. 1-6
Author(s):  
Atif Ghayas ◽  
Javaid Akhter

This study aims to empirically examine and analyze the impact of capital structure decision on the firm’s profitability by using a sample of 35 Indian pharmaceutical companies listed on Bombay Stock Exchange (BSE) during the period of 5 years from 2012 to 2016. Regression Analysis is used to measure the extent and nature of the relationship. Capital structure variables used in the study are ratio of long-term debt to total assets (LDA), ratio of short-term debt to total assets (SDA) and ratio of Total debt to total assets (DA) while profitability has been measure by Return on Equity (ROE). Firms Size (SIZE)and Salesgrowth(GROW) are also used as control variables. Results reveal a positive effect of SDA and DA on ROE, while a weak-to-no effect was found of LDA on ROE.


2019 ◽  
Vol 11 (20) ◽  
pp. 5583 ◽  
Author(s):  
Shah ◽  
Khan ◽  
Meyer ◽  
Meyer ◽  
Oláh

Equity markets play a pivotal role in the sustainability of developing countries, such as China. The literature on the detection of herding biases is confined to the aggregate level (firms, sector/industry and market). The present study adds to the behavioral finance literature by addressing the surprisingly unnoticed phenomena of the behavioral impact of herding bias on firm value (FV) at the firm level, using the sample of A-Shares listed firms at the Shanghai and Shenzhen Stock Exchanges (SSE and SZSE) under panel fixed effect specification. Initially, we detect the existence of investors and managers herding (IHR and MHR) biases at firm-level, and later, we examine their impact (distinct and interactive) upon the FV. The empirical results document the presence of IHR and MHR bias at market, sector and firm-level in both equity markets, which potentially drive the FV, while the impact is more pronounced during the extreme trading period. The findings are robust under different time intervals, and industry classification, therefore, offers useful policy implications to understand the behavioral dynamics of investors and managers.


Sign in / Sign up

Export Citation Format

Share Document