Corporate cash flow and dividends smoothing: a panel data analysis at Bursa Malaysia

2015 ◽  
Vol 13 (1) ◽  
pp. 2-19 ◽  
Author(s):  
Apedzan Emmanuel Kighir ◽  
Normah Haji Omar ◽  
Norhayati Mohamed
Keyword(s):  
Panel Data ◽  
Cash Flow ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Cash Flows ◽  
Payout Policy ◽  
Free Cash Flow ◽  
Content Type ◽  
Financial Firms ◽  
The Impact

Purpose – The purpose of this paper is to contribute to the debate and find out the impact of cash flow on changes in dividend payout decisions among non-financial firms quoted at Bursa Malaysia as compared to earnings. There has been renewed debate in recent finance and accounting literature concerning the key determinants of changes in dividends payout policy decisions in some jurisdictions. The conclusion in some is that firms base their dividend decisions on cash flows rather than published earnings. Design/methodology/approach – The research made use of panel data from 1999 to 2012 at Bursa Malaysia, using generalized method of moments as the main method of analysis. Findings – The research finds that Malaysia non-financial firms consider current earnings more important than current cash flow while making dividends payout decisions, and prior year cash flows are considered more important in dividends decisions than prior year earnings. We also found support for Jensen (1986) in Malaysia on agency theory, that managers of firms pay dividends from free cash flow to reduce agency conflicts. Practical implications – The research concludes that Malaysian non-financial firms use current earnings and less of current cash flow in making changes in dividends policy. The policy implication is that current earnings are dividends smoothing agents, and the more they are considered in dividends payout decisions, the less of dividends smoothing. Social implications – If dividends smoothing is encouraged, it could lead to dividends-based earnings management. Originality/value – The research is our novel contribution of assisting investors and government in making informed decisions regarding dividends policy in Malaysia.

The impact of uncertainty on payout policy

2016 ◽  
Vol 42 (11) ◽  
pp. 1054-1072 ◽  
Author(s):  
Brian Walkup
Keyword(s):  
Cash Flow ◽  
Large Data ◽  
Cash Flows ◽  
Payout Policy ◽  
Market Uncertainty ◽  
Policy Decisions ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of market-level uncertainty on dividend and repurchase decisions. Design/methodology/approach Using a large data set over a nearly 50-year period, the author examines the choice to pay dividends and repurchase shares using logit and multinomial logit regressions. Findings Market-level uncertainty (measured by a GARCH estimate of volatility, as well as the Chicago Board Options Exchange Volatility Index) is shown to have a statistically significant impact on firms’ payout policy decisions. This impact is different for dividends and repurchases as well as for firms with differing levels of cash flows. As market uncertainty increases, firms with low cash flow levels tighten dividend policy to conserve cash while firms with high cash flow levels become opportunistic through the use of share repurchases. Practical implications The findings allow investors to better understand the connection between shifts in market-level uncertainty and corporate payout policy, specifically through the differing use of dividends and repurchases. Originality/value While prior literature on payout policy has focused on firm-level determinants, this study demonstrates that market-level uncertainty impacts firms’ payout policy decisions uniquely. Furthermore, this is, to the author’s knowledge, the first study to differentiate by relative cash flow level, demonstrating that not all cash flow levels react in the same manner.

Corporate governance practices and capital structure decisions: the moderating effect of gender diversity

2020 ◽  
Vol 20 (5) ◽  
pp. 939-964
Author(s):  
Mohammad A.A Zaid ◽  
Man Wang ◽  
Sara T.F. Abuhijleh ◽  
Ayman Issa ◽  
Mohammed W.A. Saleh ◽  
...  
Keyword(s):  
Corporate Governance ◽  
Panel Data ◽  
Capital Structure ◽  
Generalized Method Of Moments ◽  
Gender Diversity ◽  
Business Environment ◽  
Board Structure ◽  
Content Type ◽  
Financing Decisions ◽  
The Impact

Purpose Motivated by the agency theory, this study aims to empirically examine the nexus between board attributes and a firm’s financing decisions of non-financial listed firms in Palestine and how the previous relationship is moderated and shaped by the level of gender diversity. Design/methodology/approach Multiple regression analysis on a panel data was used. Further, we applied three different approaches of static panel data “pooled OLS, fixed effect and random effect.” Fixed-effects estimator was selected as the optimal and most appropriate model. In addition, to control for the potential endogeneity problem and to profoundly analyze the study data, the authors perform the one-step system generalized method of moments (GMM) estimator. Dynamic panel GMM specification was superior in generating robust findings. Findings The findings clearly unveil that all explanatory variables in the study model have a significant influence on the firm’s financing decisions. Moreover, the results report that the impact of board size and board independence are more positive under conditions of a high level of gender diversity, whereas the influence of CEO duality on the firm’s leverage level turned from negative to positive. In a nutshell, gender diversity moderates the effect of board structure on a firm’s financing decisions. Research limitations/implications This study was restricted to one institutional context (Palestine); therefore, the results reflect the attributes of the Palestinian business environment. In this vein, it is possible to generate different findings in other countries, particularly in developed markets. Practical implications The findings of this study can draw responsible parties and policymakers’ attention in developing countries to introduce and contextualize new mechanisms that can lead to better monitoring process and help firms in attracting better resources and establishing an optimal capital structure. For instance, entities should mandate a minimum quota for the proportion of women incorporation in boardrooms. Originality/value This study provides empirical evidence on the moderating role of gender diversity on the effect of board structure on firm’s financing decisions, something that was predominantly neglected by the earlier studies and has not yet examined by ancestors. Thereby, to protrude nuanced understanding of this novel and unprecedented idea, this study thoroughly bridges this research gap and contributes practically and theoretically to the existing corporate governance–capital structure literature.

scholarly journals Determinants of Basmati Exports from Pakistan: A Panel Data Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 12-18
Author(s):  
Muhammad Munwar Hayat ◽  
Raheela Khatoon
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Trading Partner ◽  
Dummy Variable ◽  
Export Competitiveness ◽  
The Impact

This paper aims to estimate the impact of different factors of basmati exports from Pakistan to its trading partner. Results are obtained by using the Generalized Method of Moments (GMM) model and panel data methodology with a sample of 22 countries for the period of 2003-2019. To estimate the impact of different variables on basmati exports Generalized Method of Moments (GMM) model is used on the panel dataset. The results revealed that the inflation rate of Pakistan has a negative and significant effect on the export competitiveness of Pakistani basmati. The exchange rate of Pakistan has a positive and significant impact on the basmati export, the population of Pakistan has a negative and significant impact on basmati export. Basmati production in Pakistan also has a significant and negative impact on basmati export. The Gross Domestic Product (GDP) of Pakistan has a significant and positive impact on the basmati export while the GDP of the trading partner has a significant and negative impact on the basmati export. The dummy variable for joint border also has a positive and significant impact on basmati exports of Pakistan.

Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aspasia Vlachvei ◽  
Ourania Notta ◽  
Eirini Koronaki
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Customer Engagement ◽  
Content Type ◽  
Interactive Engagement ◽  
Long Run ◽  
Three Stages ◽  
The Impact

PurposeThis study advances knowledge of interactive marketing strategies by examining the effect of different content types on the three stages of customer engagement (CE) in social media, namely, relationship formation, engagement creation and engagement contribution, for European wine brands.Design/methodology/approachBoth quantitative and qualitative content analyses are conducted; a panel data analysis validates the impact of content type on the three stages of CE in social media.FindingsThe results indicate that remunerative content is the most consistent and promising strategy for enhancing all three stages of CE in social media. Social content motivates consumers to interact with wine brands by commenting, which is the most demanding and time-consuming form of engagement.Practical implicationsThe empirical results offer valuable directions for managers and marketers of European wine brands on creating and maintaining optimal interactive engagement in all three stages with their Facebook communities over the long run.Originality/valueThis study is one of the first to empirically examine, through objective measurement, how content type affects the three stages of CE in social media. The case of European wine brands is examined, over time, through a panel data analysis.

Financial sustainability in Italian farms: an analysis of the FADN sample

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gabriele Dono ◽  
Rebecca Buttinelli ◽  
Raffaele Cortignani
Keyword(s):  
Rural Development ◽  
Cash Flow ◽  
Production Systems ◽  
Public Support ◽  
Cash Flows ◽  
Free Cash Flow ◽  
Financial Sustainability ◽  
Content Type ◽  
Random Effects Models ◽  
Financial Variables

PurposeThe paper examines the factors that influence the production of cash flows in a sample of Italian farm accountancy data network (FADN) farms to generate information useful for calibrating policies to support farmers' investments.Design/methodology/approachAn econometric analysis on the sample estimates the influence of structural, economic, commercial and financial variables on CAFFE, i.e. the cash flow that includes the payments to the farmer's resources and the free cash flow on equity (FCFE). The econometric problem of endogeneity is treated by adopting the Hausman test to choose between fixed and random effects models. The results for Italian agriculture and its types of farming (TFs) are examined based on the FCFE/capital depreciation ratio, where FCFE subtracts from CAFFE the opportunity cost payments to the farmer's resources. This ratio identifies TFs with problems of sustainability of the production system.FindingsThe results show that increasing the productive dimension, in particular the endowment of farmland and working capital, is still essential to stimulate the production of cash flows of Italian agriculture. Without this growth, increasing the depreciable capital base is ineffective. FCFE does not compensate for depreciation in several TFs, which in various cases could also improve by improving economic efficiency and commercial position.Research limitations/implicationsAssessing the factors that most influence cash flows can help to better calibrate rural development measures to the territories and farming types that most need public support. Our analysis procedure can be applied to all production systems equipped with farm accounting networks; however, the criteria for rewarding farmer resources and calculating the replacement value of agricultural capital need to be better discussed.Originality/valueThe specification of rural development policies rarely takes into account the financial sustainability conditions of farms, as well as the factors that determine them, in defining the support parameters and the selection criteria for funding. Our approach, based on the analysis of FADN data, considers these aspects and provides ideas for better calibrating public support for investments among agricultural territories, sectors and types of farms.

Financial development and self-employment

2020 ◽  
Vol 19 (3) ◽  
pp. 339-357
Author(s):  
Papar Kananurak ◽  
Aeggarchat Sirisankanan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Financial Development ◽  
Panel Data Analysis ◽  
Statistical Significance ◽  
Random Effect Model ◽  
Direct Examination ◽  
Content Type ◽  
Self Employment ◽  
The Impact

Purpose There are several different factors that can influence self-employment. However, there is little evidence stemming from direct examination of the impact of financial development (FD) on self-employment. This study aims to formulate empirical specification models to examine the effect of FD on self-employment. Design/methodology/approach Panel data analysis of 136 sample countries was performed during the period from 2000 to 2017. This study initially implemented the new financial index developed by the International Monetary Fund (IMF) to examine the impact of FD on self-employment. Panel data analysis including the pooled model, fixed effect and random effect model has been carried out. Findings The empirical results show that the financial institutions index has a negative significant impact on self-employment by a considerable magnitude, whereas the financial markets index does not show any statistical significance. The results also find that the government effectiveness index is negative and statistically significant on self-employment. Originality/value There are several different factors which can influence self-employment. Nevertheless, there is little evidence for the direct examination of the impact of FD on self-employment. This study investigated the impact of FD on self-employment by using the new FD index created by the IMF. The finding may help policymakers to implement FD along with other institutional policies to control self-employment.

Prevention or promotion?

2020 ◽  
Vol 3 (1) ◽  
pp. 1-15
Author(s):  
Min Hou ◽  
Chunmei Gu ◽  
Jiakai Wang ◽  
Ping Hou
Keyword(s):  
Panel Data ◽  
Panel Data Analysis ◽  
Communication Strategies ◽  
Third Party ◽  
Prevention Focus ◽  
Actual Problem ◽  
Promotion Focus ◽  
Content Type ◽  
The Impact ◽  
Advertising Communication

PurposeA large number of competitors springing up at the same time is a unique phenomenon to emerging markets. How to promote product sales and improve platform performance through appropriate advertising communication strategies is not only an actual problem for the P2P platforms that are committed to long-term and stable operations but also an academic problem in marketing.Design/methodology/approachThis study collected a total of 1960 pieces of panel data of the P2P platforms and constructed a panel data analysis model after filtering.FindingsThe empirical analysis reveals the following: the prevention-focus advertising has a greater impact on platform trading volume, compared with the promotion-focus advertising, and the impact is positively significant; the platform which has a third-party cooperation should use promotion-focus advertising, while prevention-focus advertising is a better choice for the platform without a third-party cooperation. Furthermore, the effects of prevention-focus advertising and promotion-focus advertising on the platforms using individual projects and platforms using organization projects differ.Originality/valueThe results of this study have some reference to the selection of advertising communication strategies for the high-risk financial products.

scholarly journals Aid for food security: does it work?

2015 ◽  
Vol 14 (1) ◽  
pp. 41-59 ◽  
Author(s):  
Ivica Petrikova
Keyword(s):  
Food Security ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Development Aid ◽  
Bilateral Aid ◽  
Content Type ◽  
Quality Of Governance ◽  
Cross Country ◽  
The Impact

Purpose – The purpose of this paper is to contribute to existing literature by examining whether development aid has any measurable impact on food security, whether the impact is conditioned on the quality of governance and whether it differs based on the type of aid provided. Design/methodology/approach – Panel-data analysis of 85 developing countries between 1994 and 2011, using generalized method of moments and two-stage least squares estimators. Findings – The paper finds that aid in general has a small positive impact on food security; that multilateral aid, grants and social and economic aid have a positive effect on food security in their own right, and that bilateral aid, loans and agricultural aid are more conditioned on the quality of governance that other aid. Research limitations/implications – The main limitations rest with the imperfect nature of cross-country data on food security and governance, which I have tried to overcome through a series of robustness tests. Practical implications – The findings suggest that aid, despite its many deficiencies, can play a positive role in strengthening food security. Furthermore, they indicate that concessional loans, bilateral aid and agricultural aid are likely to foster food security only in countries with better governance. Originality/value – The paper constitutes a novel contribution to existing literature because it is one of the first to use cross-country data to explore the impact of aid on food security and because it utilizes a relatively complex aid categorization, which allows its conclusions to be more nuanced.

Investment-cash flow sensitivity and financial constraints: evidence from Pakistan

2016 ◽  
Vol 5 (3) ◽  
pp. 403-423 ◽  
Author(s):  
Yasir Riaz ◽  
Yasir Shahab ◽  
Robina Bibi ◽  
Shumaila Zeb
Keyword(s):  
Panel Data ◽  
Financial Markets ◽  
Cash Flow ◽  
Market Integration ◽  
Financial Constraints ◽  
Generalized Method Of Moments ◽  
Listed Companies ◽  
Developed Countries ◽  
Content Type ◽  
Cash Flow Sensitivity

Purpose The purpose of this paper is to provide new insights about investment-cash flow sensitivities (ICFS) as a representative of financial constraints, by examining panel data consisting of 288 listed firms in Pakistan. Design/methodology/approach This study uses a panel data methodology and first difference generalized method of moments to control the problems of heterogeneity and endogeneity. By five different criteria, estimations are made for full and pre-classified sub-samples. Sargan test and Arellano-Bond serial correlation statistic are used for identification and validation of instruments and model. Findings According to the results, the ICFS has increased monotonically with the level of financial constraints. Further, the results depict that ICFS for the constrained group is much higher as compared to the unconstrained group. Overall, the result illustrates positively significant ICFS. Practical implications This study confirms signs of imperfections in the capital market, which leads to financial markets inaccessibility preceded by high under-investment costs and low social and economic development. Thus, proper policy designing and instigation are necessary for the subsidies, taxation, and foreign direct investment and later for financial market development and promotion of private corporate investment. Originality/value Previous studies have mostly focused on developed countries where large listed companies work in well-developed financial markets and do not face severe financial constraints because of the greater market integration (Bekaert et al., 2011, 2013) and superior investor protection laws (Djankov et al., 2008; La porta et al., 1998). However, this study focuses on listed companies from the emerging Pakistani market, which will bring forth the interesting aspects of ICFS and will enhance the existing literature effectively.

scholarly journals Effect of Operating Cash Flow on Stock Return of Firms Listed In Nairobi Security Exchange

2021 ◽  
Vol 6 (1) ◽  
pp. 26-35
Author(s):  
Samoei Ben Kipngetich ◽  
Joel Tenai ◽  
Andrew Kimwolo
Keyword(s):  
Panel Data ◽  
Stock Returns ◽  
Cash Flow ◽  
Stock Return ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Cash Flows ◽  
Free Cash Flow ◽  
Operating Cash Flow

The main aim of the paper was to establish the effect of operating cash flow on stock return of firms listed in NSE. The study was informed by Free Cash Flow (FCF) theory. Census survey was adapted to review financial statements for 29 listed non-financial firms at NSE that had consistent data for all the study variables. Secondary data was extracted for 12 years from 2007-2019 with the aid of a data collection sheet. Explanatory research design which is panel in nature was followed by this study. Both descriptive and inferential statistics were used in data analysis. Panel data regression was used to make inferences and test research hypothesis. Fixed and Random effects methods were used to analyze the balanced panel data using STATA statistical package and Hausman test established that Random effect model was the most ideal method to analyze data in this study. The findings indicated that operating cash flow positively and significantly influenced the stock returns for firms listed at NSE. The study concludes that operating cash flow information affects stock returns. Therefore, the study advocates for firms to increase their levels of operating cash flows through prudent utilization of cash resources since it enhances the stock returns.

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