Determinants of liquidity in Malaysian SMEs: a quantile regression approach

2018 ◽  
Vol 67 (9) ◽  
pp. 1566-1584 ◽  
Author(s):  
Shaista Wasiuzzaman
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Emerging Market ◽  
Developed Countries ◽  
Data Availability ◽  
Firm Level ◽  
Liquidity Management ◽  
Ols Regression ◽  
Content Type ◽  
Quantile Regression Analysis

PurposeThe management of liquidity has always been seen as a critical but often ignored issue in finance. Despite the abundance of studies on liquidity management, these studies mainly focus on developed countries and on large firms. Liquidity is critical for the small firm but studies on liquidity management in small and medium enterprises (SMEs) are lacking. The purpose of this paper is to examine the firm-level determinants of liquidity of SMEs in Malaysia.Design/methodology/approachData are collected for a total of 986 small firms in Malaysia from 2011 to 2014, resulting in a total of 2,683 observations. Firm-specific variables and the effect of the economy are considered as the possible determinants of liquidity. Ordinary least squares (OLS) regression analysis with standard errors adjusted for firm-level clustering and quantile regression analysis are used for this purpose.FindingsAnalysis using OLS regression technique indicates that a firm’s profitability, its growth, asset tangibility, size, age and firm status are significant factors in influencing its liquidity decision. Leverage and economic condition are not found to have any significant influence on liquidity. However, quantile regression analysis provides a different picture especially for SMEs with liquidity at the quantile levels ofθ=0.10 and 0.90. Atθ=0.10, only profitability, tangibility and firm status are significant, while atθ=0.90, tangibility, size, firm status and, to some extent, age are significant in influencing liquidity levels.Originality/valueTo the author’s knowledge, this is the first study analyzing the liquidity decision of SMEs in an emerging market such as Malaysia. Most studies on liquidity management of SMEs are focused on developed countries due to data availability but these studies are also only a handful. Additionally, this study uses quantile regression analysis which highlights the need to analyze financial decisions at different levels rather than at the aggregate level as done in OLS regression analysis.

Geographical diversification and corporate liquidity in Malaysia: a quantile regression approach

2020 ◽  
Vol 32 (2) ◽  
pp. 125-146
Author(s):  
Shaista Wasiuzzaman
Keyword(s):  
Quantile Regression ◽  
Cash Holdings ◽  
Developed Countries ◽  
Ordinary Least Squares ◽  
Working Capital ◽  
Firm Level ◽  
Ols Regression ◽  
Content Type ◽  
Corporate Liquidity ◽  
Geographical Diversification

Purpose This paper aims to examine the effect of geographical diversification on corporate liquidity in Malaysian firms. Liquidity is represented by both cash and working capital. Design/methodology/approach Data for this study is collected from a total of 735 firms over a period of five years, from 2010 to 2014, resulting in a total of 2,904 firm-year observations. The effect of geographical diversification on the cash and working capital of the firms is analyzed by using the ordinary least squares (OLS) with standard errors adjusted for firm level clustering and the quantile regression (QR) analyses. Control variables which represent the characteristics of the firms are also considered. Findings Analysis using the OLS regression technique indicates that geographical diversification has a highly significant positive influence on corporate cash holdings, while the influence of working capital is negative and its significance is only at the 10 per cent level. However, when QR is used to analyze the relationships, it is found that geographical diversification is only significant in positively influencing cash holdings for firms with low cash holdings, but the relationship is insignificant at high levels of cash holdings. Additionally, working capital is significantly influenced by geographical diversification at high levels of working capital but not at low levels. Originality/value To the author’s knowledge, this is the first study to analyze the influence of geographical diversification on liquidity by considering both cash and working capital. The effect of diversification on liquidity is mostly studied in developed countries, whereas this study is focused on a developing country. Additionally, this study uses QR to analyze relationships at different levels rather than at aggregate level as done in OLS regression analysis.

Absenteeism and performance in a quantitative module A quantile regression analysis

2016 ◽  
Vol 8 (3) ◽  
pp. 376-389 ◽  
Author(s):  
Pranab Kumar Pani ◽  
Pallavi Kishore
Keyword(s):  
Regression Analysis ◽  
Academic Performance ◽  
Learning Styles ◽  
Quantile Regression ◽  
United Arab Emirates ◽  
Classroom Environment ◽  
Negative Impact ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
And Performance

Purpose – There is growing evidence that learning is faster, measurably better and more productive in a classroom setting when a student attends classes regularly. Each student brings in his/her experience, skills, and unique learning styles to a class – thus a classroom environment can potentially create positive externalities through which a student can gain substantially from various strengths of his/her peers. However, students do remain absent from their classes for a variety of reasons. One of the measurable effects of regular non-attendance in a university class, where students from various cultures and regions interact, is the academic performance. The purpose of this paper is to determine if there is any potential causal link between absenteeism (attendance) and academic performance. Design/methodology/approach – Data were culled from the records of three batches of students in a British university campus in the Middle East. Quantile regression methods were used to establish the causal relationship between absenteeism and academic performance. Findings – A quantile regression analysis reveals that absenteeism has negative impact on academic performance. This also suggests that low performers are worse affected by absenteeism as compared to the high performers. Research limitations/implications – Inclusion of some other factors, such as study habits, additional hours spent on quantitative modules, student’s ethnicity background, particularly in the context of United Arab Emirates, could have emboldened the robustness of the study. Non-availability or paucity of this information, to some degree, has limited the conclusions of this study. Originality/value – Proponents of mandatory attendance argue that there is a positive correlation between attendance and performance. But, one very important issue which gets overlooked is who actually benefits more by attending classes – are the shirkers who have a poor attendance record or the ones who are more sincere, more regular, and active participants in a class? This study uses quantile regression analysis to address this issue.

Corporate fraud and information asymmetry in emerging markets

2019 ◽  
Vol 26 (1) ◽  
pp. 95-112 ◽  
Author(s):  
Abdul Ghafoor ◽  
Rozaimah Zainudin ◽  
Nurul Shahnaz Mahdzan
Keyword(s):  
Emerging Markets ◽  
Information Asymmetry ◽  
Event Study ◽  
Capital Market ◽  
Emerging Market ◽  
Developed Countries ◽  
Governance Mechanism ◽  
Ols Regression ◽  
Content Type ◽  
Practical Implications

PurposeThe purpose of this study is to examine changes in firms’ level of information asymmetry in emerging market of Malaysia for the period of 2000-2016. Specifically, the study focuses on changes in the quoted spread and quoted depth following the fraud announcement.Design/methodology/approachThe study uses a unique set of fraud sample using enforcement action releases (EARs) identified from the Security Commission of Malaysia and Bursa Malaysia. To estimate the result, the authors use event study methodology, OLS regression and simultaneous model on a set of 67 fraudulent firms.FindingsThe results of event study, OLS regression and simultaneous equation models suggest that information asymmetry increases on fraud discovery. The authors also use the analysis on subsamples classified by the type of regulator (who issued the enforcement release) and type of fraud committed. However, the authors find no evidence of a difference in information asymmetry across these groups. Overall, the results support the reputational view of fraud that it damages the firms’ reputation and increases uncertainty in the capital market.Research limitations/implicationsThese findings provide valuable insights into understanding the information asymmetry around fraud announcements, especially for Malaysia, where the majority of the public-listed companies are family-controlled and under significant state control. The results of this study call for the active role that regulators can play to achieve a transparent and liquid capital market.Practical implicationsThe research has practical implications. Specifically, for Malaysia, fraud is the primary area for National Results Areas (NKRA) in the Government Transformation Program (GTP). Therefore, for regulators and policymakers to ensure a liquid and transparent capital market, identifying the factors that elicit the fraudulent behavior and improving the related governance mechanism are necessary steps to prevent the fraudulent practices.Social implicationsDue to increased information asymmetry on fraud announcements, the demand for equity decreases that may affect not only the fraudulent firms but also results in negative externality for non-fraudulent firms, thus impairing their ability to fund equity.Originality/valueA significant majority of studies have focused on corporate frauds in developed countries such as the USA that is characterized by dispersed ownership system and a strong capital market. One of the vocal critics of the agency theory is that it neglects the social and institutional framework within which companies operate. In emerging markets, such as Malaysia, the published academic papers on fraud and information asymmetry are very limited. As emerging markets practice different cultures, corporate governance mechanisms and market regulations, the study is significant to investigate the behavior of investors in such markets.

R&D expenditure and managerial ownership: evidence from firms of high-vs-low R&D intensity

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Hassanein ◽  
Jamal Ali Al-Khasawneh ◽  
Hany Elzahar
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Maximum Level ◽  
Managerial Ownership ◽  
Corporate Ownership ◽  
Linear Regression Models ◽  
Content Type ◽  
Corporate Managers ◽  
Innovation Activities ◽  
Quantile Regression Analysis

Purpose Corporate managers spend on research and development (R&D) for reasons of growth and survival. However, they may be less willing to invest in R&D because of its long-term horizon, high failure rate and uncertain outcomes. This study aims to explore the extent to which managerial ownership influences R&D expenditure decisions. Design/methodology/approach Apart from the linear regression models, this study uses a semi-parametric quantile regression analysis for a sample of German non-financial firms throughout 2009–2018. Findings This study finds a nonmonotonic sensitivity of R&D spending to the level of managerial ownership over various quantiles of R&D distribution. That is, managerial ownership increases the expenditure on R&D at low R&D intensity firms. However, it decreases the expenditure on R&D at high R&D intensity firms. These results suggest the presence of a maximum level of R&D expenditure, after which owner-managers would be unwilling to spend on R&D. Practical implications The results confirm the importance of corporate ownership structure for firm R&D and innovation activities. It provides an implication for corporate policymakers to reform the corporate ownership structures to encourage corporate managers and owners to invest in R&D projects. Originality/value This study offers two distinct contributions study. First, it provides the first German shred of evidence on the nonlinear relationship between managerial ownership and R&D expenditure decisions by distinguishing between high and low R&D intensity firms. Second, unlike prior research, it uses a semi-parametric quantile regression analysis. This method is more efficient than least-squares estimators and produces robust estimators to heteroscedasticity of the residuals.

scholarly journals EVOLUTION OF EFFICIENCY AND ITS DETERMINANTS IN THE RETAIL SECTOR IN SPAIN: NEW EVIDENCE

2014 ◽  
Vol 16 (1) ◽  
pp. 244-260 ◽  
Author(s):  
Justo De Jorge Moreno ◽  
Oscar Rojas Carrasco
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Stochastic Order ◽  
Careful Analysis ◽  
Input Function ◽  
Robust Estimator ◽  
Retail Sector ◽  
Firm Level ◽  
Second Stage ◽  
Quantile Regression Analysis

The purpose of this work is twofold: on the one hand, recent methodologies will be used to estimate technical efficiency and its determinants factors in Spain's retail sector. In particular, the order-m approach, which is based on the concept of expected minimum input function and quantile regression, for the analysis of the factors determinants of efficiency is used. On the other hand, the results obtained applying the methods mentioned in the Spanish retail sector can contribute to opening up a new field of analysis since the results may be compared by means of the methodologies proposed as well as those which already exist in the literature. The paper used data envelopment analysis stochastic (order-m) to measure efficiency and quantile regression analysis for the second stage in Spanish retail. For the second stage of analysis relative of the factors determinants of efficiency, we use quantile regression. We take account of heterogeneity between the different characteristics of firms, using quantile regression techniques. We find that firm size, age and market concentration are positively related to the efficiency along the quantiles considered in the analysis. The relationship between intensity of capital and better trained employees in the efficiency shows a curvilinear behavior. Also, there are significant differences by region to which the firm belongs. The main contribution of this paper is to provide an efficiency analysis for Spanish retail sector using a non parametric approach with a robust estimator and quantile regression analysis for second stage. This methodology allows for a more careful analysis of what happens at firm level.

Mean reversion in corporate leverage: evidence from India

2019 ◽  
Vol 45 (9) ◽  
pp. 1183-1198
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee
Keyword(s):  
Capital Structure ◽  
Emerging Market ◽  
Simulated Data ◽  
Mean Reversion ◽  
Developed Countries ◽  
Data Sets ◽  
Debt Ratio ◽  
Testing Strategy ◽  
Content Type ◽  
Financing Behavior

Purpose Recent papers on target capital structure show that debt ratio seems to vary widely in space and time, implying that the functional specifications of target debt ratios are of little empirical use. Further, target behavior cannot be adjudged correctly using debt ratios, as they could revert due to mechanical reasons. The purpose of this paper is to develop an alternative testing strategy to test the target capital structure. Design/methodology/approach The authors make use of a major “shock” to the debt ratios as an event and think of a subsequent reversion as a movement toward a mean or target debt ratio. By doing this, the authors no longer need to identify target debt ratios as a function of firm-specific variables or any other rigid functional form. Findings Similar to the broad empirical evidence in developed economies, there is no perceptible and systematic mean reversion by Indian firms. However, unlike developed countries, proportionate usage of debt to finance firms’ marginal financing deficits is extensive; equity is used rather sparingly. Research limitations/implications The trade-off theory could be convincingly refuted at least for the emerging market of India. The paper here stimulated further research on finding reasons for specific financing behavior of emerging market firms. Practical implications The results show that the firms’ financing choices are not only depending on their own firm’s specific variables but also on the financial markets in which they operate. Originality/value This study attempts to assess mean reversion in debt ratios in a unique but reassuring manner. The results are confirmed by extensive calibration of the testing strategy using simulated data sets.

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