A quantile regression analysis of farmer cooperative performance

2018 ◽  
Vol 78 (1) ◽  
pp. 65-82 ◽  
Author(s):  
Jasper Grashuis
Keyword(s):  
Quantile Regression ◽  
Financial Performance ◽  
Empirical Literature ◽  
Response Distribution ◽  
Content Type ◽  
Return On Equity ◽  
Operating Profit ◽  
Farmer Cooperatives ◽  
Financial Perspective ◽  
Quantile Regression Analysis

Purpose A financial perspective of farmer cooperative performance is assumed by conceptualizing the cooperative as an independent firm. The purpose of this paper is to explore variability in the financial performance of the largest 1,000 US farmer cooperatives with emphasis on efficiency, productivity, and leverage. Design/methodology/approach Cooperative performance is analyzed by means of the extended DuPont identity, an accounting tool which decomposes return on equity into five ratios of efficiency, productivity, and leverage. The extended DuPont identity is applied empirically with quantile regression, which allows estimation of the statistical interrelationship of the DuPont components across the full response distribution. Findings Per the results, variability in the financial performance of US farmer cooperatives is for the most part associated with the operating profit margin, which confirms prior findings of cost inefficiency in the empirical literature. Therefore, US farmer cooperatives may improve financial performance by emphasizing sales and operating costs. Specifically, recommendations include placing emphasis on bargaining power, product differentiation, and scale economies. Supply cooperatives may also consider issuing non-qualified equity and securing long-term debt access as additional possibilities to improve financial performance. Originality/value The empirical application of the extended DuPont identity with quantile regression facilitates a novel investigation of cooperative performance by placing emphasis on the efficiency, productivity, and leverage of cooperatives with various degrees of performance.

Intellectual capital in Serbia’s hotel industry

2015 ◽  
Vol 27 (6) ◽  
pp. 1365-1384 ◽  
Author(s):  
Nick Bontis ◽  
Stevo Janošević ◽  
Vladimir Dženopoljac
Keyword(s):  
Financial Performance ◽  
Intellectual Capital ◽  
Hotel Industry ◽  
Value Added ◽  
Physical Capital ◽  
Employee Productivity ◽  
Senior Managers ◽  
Content Type ◽  
Return On Equity ◽  
Operating Profit

Purpose – The purpose of this study is to determine whether intellectual capital (IC) creates value in the Serbian hotel industry. Specifically, this paper examines to what degree IC and its key components affect the financial performance of hotels compared to physical and financial capital. Design/methodology/approach – The sample included all of the hotels that operated as independent entities in Serbia during 2009–2012. value-added intellectual coefficient was used to measure the level of IC contribution to value creation, which was linked to various measures of financial performance, including operating profit, return on equity, return on assets, profitability and employee productivity. Findings – Results indicate that after controlling for firm size and leverage, employee productivity and, to some extent, profitability were affected by human and structural capital. The research confirms that the financial performance of hotels in Serbia remains predominantly influenced by efficient use of physical capital. Research limitations/implications – The study’s generalizability is limited to the hotel sector within Serbia. Practical implications – Senior managers in the hotel industry must recognize the importance of managing both the physical aspects of their hotels and the intangible resources embedded in their employees and processes. Originality/value – The findings will aid recognition of the importance of investing in IC in hotel industry as a crucial element of achieving competitive advantage in the information age. Moreover, the findings suggest that long-term growth should not rely solely on physical and financial assets.

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.

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.

Risk disclosure and financial performance: the case of Islamic and conventional banks in the GCC

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayman E. Haddad ◽  
Hussain Alali
Keyword(s):  
Financial Performance ◽  
United Arab Emirates ◽  
Best Practice ◽  
Annual Reports ◽  
Risk Disclosure ◽  
Return On Assets ◽  
Content Type ◽  
Return On Equity ◽  
Gcc Countries ◽  
Conventional Banks

Purpose This study aims to explore the extent of risk disclosure (RD) among conventional banks (CBs) and Islamic banks (IBs) listed on stock markets in the Gulf cooperation council (GCC). It also examines the influence of RD on the banks’ financial performance as measured by return on assets (ROA) and return on equity (ROE). Design/methodology/approach This study uses content analysis to examine RD in the annual reports of 16 CBs and 14 IBs in the GCC for a sample of 240 firm-year observations over the period 2007 to 2014. Findings The study shows no significant differences between the RD reported in the annual reports of CBs and that of IBs. On average, a CB reported 234 sentences while an IB disclosed 244 sentences of RD in its annual report. The authors also find that both types of banks had an upward trend over the periods. While the means of RD reported by CBs have significantly improved over the period, the RD reported by IBs has not. Similar results are also found when the authors compared the RD pre- and post-financial crisis period. Finally, the authors find that there is a significant association between RD and both models of financial performance (ROA and ROE) for IBs, after controlling other variables. However, RD has a significant association with only ROE for CBs. Research limitations/implications The bank selection was restricted to publicly traded banks in the GCC. Other financial institutions and different types of industries were not considered. Further research could determine whether the results obtained in this study could be generalized to different industries in the GCC and or in other countries. Practical implications This study provides evidence on the significant association between RD and the financial performance of CBs and IBs in GCC countries. This study could be helpful to regulatory authorities in encouraging banks to adopt the best practice of RD and thus promote banks’ transparency. Originality/value This is the first known study to examine the RD practices of both types of banks and their association with banks’ financial performance in five-GCC countries (Kuwait, Qatar, Saudi Arabia, United Arab Emirates and Bahrain), based on a longitudinal analysis of year-end annual reports, covering eight years period from 2007 to 2014.

Measuring impact of working capital efficiency on financial performance of a firm

2019 ◽  
Vol 11 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Punam Prasad ◽  
Narayanasamy Sivasankaran ◽  
Samit Paul ◽  
Manoharan Kannadhasan
Keyword(s):  
Financial Performance ◽  
Value Chain ◽  
Bargaining Power ◽  
Direct Measure ◽  
Working Capital ◽  
Content Type ◽  
Return On Equity ◽  
Operating Income ◽  
Performance Variables ◽  
Capital Efficiency

Purpose The purpose of this study is to introduce working capital efficiency multiplier (WCEM) as a direct profitability measure of working capital management. The existing accounting measures in the literature establish an indirect approach to study the relationship between working capital efficiency and profitability of the firms. Design/methodology/approach Using the help of a set of companies from CMIE Prowess database, the study introduces WCEM as a direct profitability measure of working capital efficiency. Findings In this study, a new direct measure of working capital efficiency is introduced which is multiplicative in nature. WCEM is a product of three components, namely, WACC, ratio of the sum of trade receivables and inventories to trade payables and ratio of net working capital (NWC) to net sales. Practical implications The importance of direct measure like WCEM could be enormous in performance evaluation of a firm. It can be used as an indicator for choosing a suitable investment opportunity by an investor. This is due to the fact that the firm that is highly efficient in managing working capital is less exposed to liquidity risk. At the same time, the firm is less dependent on external financing. Therefore, such firms eventually create more value for their shareholders. Another indication that WCEM provides is to gauge the bargaining power of the firm and its competitive position in the market. Lower WCEM indicates higher bargaining power of a firm across the value chain, and its superior position relative to its competitors. Originality/value Most of the studies on WCM are of the empirical type and there is a complete dearth on theoretical framework. Researchers hereafter can consider WCEM as one of the financial performance variables in place of the existing measures such as return on asset (ROA), return on invested capital (ROIC), return on equity (ROE), gross operating income (GOI) and net operating income (NOI) and thereby can contribute new empirical insights through their research outcomes.

A quantile regression approach to trail financial performance of manufacturing firms

2019 ◽  
Vol 20 (3) ◽  
pp. 290-310
Author(s):  
Swagatika Nanda ◽  
Ajaya Kumar Panda
Keyword(s):  
Quantile Regression ◽  
Financial Performance ◽  
Large Scale ◽  
Service Sector ◽  
Business Environment ◽  
Manufacturing Firms ◽  
Policy Implications ◽  
Content Type ◽  
Regression Approach ◽  
Different Levels

Purpose The purpose of this paper is to track the financial performance of manufacturing firms at different levels of their conditional quantiles. It also analyzes the relevance of revenue and cost channels along with key firm-specific parameters that influence firm’s profitability. Design/methodology/approach The study analyses a sample of 1,000 manufacturing firms over a study period spanning from 2000 to 2016. It uses both quantile regression and panel ordinary linear square (OLS) models to analyze the financial performance of the firms. Findings The study finds large scale of heterogeneity among the firms under different quantiles of profitability. Export earnings, firm size, asset turnover and volatility of exchange rate are the decisive determinants of financial performance across all quantiles. Financing assets by current debt is negatively impacting return on assets and return on capital employed of firms from lower quantile whereas profitability is positively impacted if they are financed by long term debt. Debt financing of assets does not make any sense for firms with high quantile of profitability. The study also finds that quantile regression approach is a better method than panel OLS models in the presence of highly heterogeneous and non-normal distributions. Research limitations/implications This study is limited to the financial performance of manufacturing firms and does not consider service sector which is also equally competitive. However, a sector wise analysis of firm’s profitability could be more meaningful than comparing all the firms in one basket of manufacturing domain. Practical implications The research findings have both practical as well as policy implications. Practically, the study helps the firm managers to identify critical success factors that significantly influence firm’s financial performance at different levels of profitability. It also helps the policy makers to align policy focus to stabilize firms at lower level of profitability and also to manage conducive business environment for all firms at different levels of their profitability. Originality/value The study provides a deep theoretical underpinning of literatures on firm’s financial performance and empirically investigates it using advanced methodology. The robust estimates of the study ensure to analyze financial performance under revenue and cost channels at diverse level of their profitability.

scholarly journals Estimating the nonlinear effects of female directors on financial performance

2016 ◽  
Vol 31 (2) ◽  
pp. 97-113 ◽  
Author(s):  
Chen Ming ◽  
Lim Hock Eam
Keyword(s):  
Financial Performance ◽  
Linear Relationship ◽  
Initial Public Offerings ◽  
Gender Diversity ◽  
Nonlinear Effects ◽  
Board Members ◽  
Women Directors ◽  
Content Type ◽  
Return On Equity ◽  
Non Linear

Purpose The purpose of this paper is to identify the non-linear effects of the presence of women directors on the board on the financial performances of Malaysian companies which undertakes initial public offerings (IPOs). This paper also analyzes the impacts of non-executive directors and independent directors on their company performances. Design/methodology/approach This paper traces the effects of gender diversity on the board on the financial performance of a sample of 123 Malaysian companies from the list of 230 companies which have made IPOs and are listed during the period 2005-2012. The multiple regressions (with linear and non-linear specification) are used to estimate the effects of women directors on companies’ performance. Findings The results show that presence of women directors on the board do not purport to have any significant linear or non-linear impact on the financial performance of the companies under reference, except for the companies in the top 80th percentile of return on equity. Similarly, strong evidence is also found when the number of women as board members is more than 15 per cent. Research limitations/implications The findings of this paper suggest that presence of women directors provides a beneficial impact on the return on equity of companies in Malaysia. Therefore, it is suggested that there should be greater participation of women as board members in the country. Originality/value Prior studies tried to estimate linear relationship between the presence of woman directors on company performance. Present study assessed it from three different angles: the sample consists of companies in Malaysia issuing IPOs; possible non-linear relationship is also assessed; and apart from multiple regression, quantile regression technique was also used.

Benchmarking upper midwest dairy farm profitability

2020 ◽  
Vol 80 (5) ◽  
pp. 733-744
Author(s):  
Christopher A. Wolf ◽  
J. Roy Black ◽  
Mark W. Stephenson
Keyword(s):  
Financial Performance ◽  
Financial Management ◽  
Dairy Farm ◽  
Herd Size ◽  
Primary Objective ◽  
Profit Margin ◽  
Upper Midwest ◽  
Content Type ◽  
Operating Profit ◽  
Farm Profitability

PurposeThe purpose of this research is to understand US Upper Midwest dairy farm profitability performance over time and across herd size. Profitability is broken down into asset efficiency and operating profit margin. The primary objective is to determine how much information is required to accurately benchmark farm performance.Design/methodology/approachFinancial ratios to measure profitability (rate of return on assets), profit margin (operating profit margin ratio), and asset efficiency (asset turnover) were collected from Michigan State University and the University of Wisconsin business analysis programs for dairy farms from 2000 through 2016. Financial ratio patterns were examined both across time and herd size. Annual distributions were divided into quartiles and the use of one to five-year averages were used to determine accuracy of quartile rank compared to true long-run farm profitability performance.FindingsFinancial performance across large herds was more uniform than across smaller herds. Small and large herd profitability performance converged in poor years but diverged in good years. Using three or more years performance greatly improved accuracy of benchmarking profitability.Originality/valueThe data utilized are very rich in the sense of the amount of variation across years and herd size. The results have important implications for farm financial management and benchmarking farm financial performance. Farm firms should benchmark multiple years of profitability before making major management changes to alleviate deficiencies.

Herding behavior in Islamic GCC stock market: a daily analysis

2018 ◽  
Vol 11 (2) ◽  
pp. 182-193 ◽  
Author(s):  
Mustapha Chaffai ◽  
Imed Medhioub
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Financial Markets ◽  
Stock Returns ◽  
Stock Markets ◽  
Content Type ◽  
Quantile Regression Analysis ◽  
Herd Behaviour ◽  
The Impact ◽  
Quantile Regression Method

Purpose This paper aims to examine the presence of herd behaviour in the Islamic Gulf Cooperation Council (GCC) stock markets following the methodology given by Chiang and Zheng (2010). Generalized auto regressive conditional heteroskedasticity (GARCH)-type models and quantile regression analysis are used and applied to daily data ranging from 3 January 2010 to 28 July 2016. Results show evidence of herd behaviour in the GCC stock markets. When the data are divided into down and up market periods, herd information is found to be statistically significant and negative during upward market periods only. These results are similar to those reported in some emerging markets such as China, Japan and Hong Kong, where stock returns perform more similarly during down market periods and differently during rising markets. Design/methodology/approach The authors present a brief literature on herd behaviour. Second, the authors provide some specificity of the GCC Islamic stock market, followed by the presentation of the methodology and the data, results and their interpretation. Findings The authors take into account the difference existing in market conditions and find evidence of herding behaviour during rising markets only for GCC markets. This result was confirmed after using the quantile regression method, as evidence of herding was observed only in highly extreme periods. Stock returns perform more similarly when market is down in Islamic GCC stock market. Research limitations/implications The research limitation consists in the fact that this work can be extended to compare the GCC stock markets with other markets in Asia such as Malaysia and Indonesia. Practical implications The principal implication consists in the fact that herding behaviour is limited in the GCC markets and Islamic finance can have an important contribution to moderate the behaviour in the financial markets. Social implications The work focusses on the role of ethics in the financial markets and their ability to reduce the impact of behavioural biases. Originality/value The paper studies the behaviour of investors in the Islamic financial markets and gives an idea about the importance of the behaviour in this particular market regarding its characteristics.

scholarly journals FINANCIAL PERFORMANCE AND CORPORATE VALUE POST MERGER AND ACQUISITION (STUDY ON MANUFACTURING INDUSTRY ISSUER IN INDONESIA)

2020 ◽  
Vol 5 (11) ◽  
pp. 25-33
Author(s):  
Son Ekabiakto ◽  
BambangMulyana
Keyword(s):  
Financial Performance ◽  
Manufacturing Industry ◽  
Merger And Acquisition ◽  
Corporate Value ◽  
Return On Equity ◽  
Operating Profit ◽  
Test Study ◽  
Before And After ◽  
Inventory Turnover ◽  
Equity Ratio

This study was aimed to analyze company financial performance before and after merger or acquisition. Financial performance was measured using Current Ratio (CR), Debt to Equity Ratio (DER), Total Assets Turnover (TATO), Inventory Turnover (ITO), Operating Profit Margin (OPM), Return on Assets (ROA), Return on Equity (ROE), while corporate value was measured using Price to Book Value (PBV). This study was limited to manufacturing industry issuers which had merged and acquisited between 2003 and 2011. Sample was collected using purposive sampling method and there were 11 companies. Data analysis was statistic parametric analysis using paired sample t-test. Study result found that CR, DER, TATO, ITO, OPM, ROA, ROE, and PBV after merger and acquisition was better than before merger and acquisition, even ROA and ROE showed significant improvement.

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