The Determinant Factors of Earnings Persistence

The purpose of this research is to provide empirical evidence about the effect of operating cash flow, sales volatility, cash flow volatility, operating cycle, and book tax difference on earnings persistence. The company used in this research is manufacturing company listed in Indonesia Stock Exchange (IDX) from 2016 until 2020. Samples of this research were selected based on the purposive sampling method and resulted in 43 companies, therefore the data used for this research amounting to 215 data. The data obtained from these samples were analyzed using multiple regression method. The result of this research show that operating cycle have influence on earnings persistence. While operating cash flow, sales volatility, cash flow volatility, and book tax difference have no influence on earnings persistence.

Cash Flow Ratios for Evaluating Performance in Nepalese Commercial Banks

The purpose of this paper is to examine and analyze the performance of Nepalese commercial banks through cash flow ratios. Descriptive as well as analytical research design has been used. All the government owned commercial banks has been taken as the sample of the study using judgmental technique. Sufficiency and efficiency ratios has been used for evaluating the performance of the concerned commercial banks. Data have been collected through the annual reports of respective banks covering for the financial year 2017/2018 to 2019/2020. All the banks are efficient to generate operating cash flow from sales and continued activities. However the cash generation from continued activities and asset utilization revealed sound in NBL and RBB than ADB in 2019/2020. Cash flow sufficiency revealed similar trends in all banks.

Pengaruh Likuiditas, Profitabilitas, Financial Leverage, dan Arus Kas Operasi Dalam Memprediksi Kondisi Financial Distress

Financial distress occurs before the bankruptcy of a company. Thus the financial distress model needs to be developed, because by knowing the company's financial distress from an early age, it is hoped that actions can be taken to anticipate conditions that lead to bankruptcy. Financial distress can be measured through financial statements by analyzing financial statements. This study aims to determine and analyze the effect of liquidity, profitability, financial leverage, and operating cash flow in predicting financial distress conditions for manufacturing companies listed on the Indonesia Stock Exchange in 2016-2020. Data from the company's official website and completed from the IDX and ICMD websites. There are independent variables, namely liquidity, profitability, financial leverage, and operating cash flow, while the dependent variable in this study is financial distress. The data analysis method used in this research is logistic regression analysis method which aims to determine the role of each independent variable in influencing the dependent variable. The results of this study indicate that liquidity has no effect on financial distress, meaning that if the company is able to pay its debts well, then it is likely that the company will not experience financial distress. Profitability has no effect on financial distress, meaning that the size of the company's profit value has no effect on the company so that it avoids financial distress conditions. Financial leverage has a positive effect on financial distress, meaning that if the company has higher debt and is not followed by high sales results, it can allow failure to pay debts which causes the company to be in financial distress. Cash flow has no effect on financial distress, meaning that if the company has a good operating cash flow value, it will not experience financial distress.

The relationship between dividend policy and bank growth

The purpose of this study is to investigate the association between bank growth and the retained earnings amount for Jordanian banks between 2010 and 2020. The method to be used is regression models. Bank growth is measured using the change in total assets; income retention is measured by subtracting dividends from earnings per share and by deducting dividend per share from the operating cash flow on the accrual basis and cash basis. In addition, another specification will be used to the association between the growth of a bank’s total assets and income retention using the percentage change in the growth of a bank’s total assets and income retention on the accrual and cash basis. The findings of pooled OLS regression models and random effect models show that there is no relationship between income retention using the accrual basis and the bank total assets growth (Adj-R2 was –005). There is a significant relationship between income retention using the cash basis and the bank growth in total assets (Adj-R2 was 14%). There is no significant association between change in income retention using the cash basis and the bank growth in total assets, and bank size affects the relationship between income retention and bank growth in total assets. Users of financial statements need to be aware of the association between the several variables used in this study to make sound decisions.

The determinants of corporate cash holdings: evidence from Shariah-compliant and non-Shariah-compliant corporations

PurposeThe purpose of this study is to investigate the difference between the determinants of cash holdings of Shariah-compliant and non-Shariah-compliant firms, for non-financial corporations in the Gulf Cooperation Council (GCC).Design/methodology/approachThe data include all non-financial firms listed in six GCC markets over a period 2005–2019. The IdealRatings database is used to identify Shariah-compliant firms in the GCC. To examine the determinants of cash holdings, a static model is used. To confirm the applicability of the method applied, the Breusch–Pagan Lagrange Multiplier (LM) and Hausman (1978) are used to choose the most efficient and consistent static panel regression.FindingsThe results show that, for Shariah-compliant firms, the relevant determinants of cash holdings are leverage, profitability, capital expenditure, net working capital and operating cash flow. For non-Shariah-compliant firms, the only relevant determinants of cash holdings are leverage, net working capital and operating cash flow. The findings suggest that the cash holding decisions of Shariah-compliant firms can be best explained using the pecking order theory. This reveals that Shariah-compliant firms use liquid assets as their first financing option, due to the Shariah regulations.Research limitations/implicationsFuture studies may investigate the optimal levels of cash holdings and compare the adjustment speeds toward target cash holdings of both the Shariah-compliant firms and their conventional counterparts.Originality/valueThis study is the first to investigate the difference between the determinants of cash holdings of Shariah-compliant and non-Shariah-compliant firms.

Analyze the Determining Factors of Manager Efficiency in the Generation of Operating Cash Flow

According to the objectives of financial reporting, particularly stewardship objective, the aim of this study is to assess the manager's efficiency of listed firms in the Tehran Stock Exchange in the generation of operating cash flow on the basis of data envelopment analysis (DEA) during the period 2013 to 2019. In this survey, for research hypotheses testing, multivariate regression was employed. The research results indicated that the level of manager efficiency in the generation of operating cash flow is very low and has a decreasing trend. Also, the evidence demonstrated that factors including profitability, CEO's financial knowledge, and percentage of shares owned by institutional shareholders have no significant correlation with the managers' efficiency. Nevertheless, company size, financial leverage, board independence, and competitiveness have a significant correlation with the managers' efficiency in the generation of operating cash flow. Meanwhile, company size has a negative correlation with managers' efficiency and a positive correlation with the remaining items.

Stochastic continuous-time cash flows: A coupled linear-quadratic model

<p>The focal point of this dissertation is stochastic continuous-time cash flow models. These models, as underpinned by the results of this study, prove to be useful to describe the rich and diverse nature of trends and fluctuations in cash flow randomness. Firstly, this study considers an important preliminary question: can cash flows be fully described in continuous time? Theoretical and empirical evidence (e.g. testing for jumps) show that under some not too stringent regularities, operating cash flow processes can be well approximated by a diffusion equation, whilst investing processes -preferably- will first need to be rescaled by a system-size variable. Validated by this finding and supported by a multitude of theoretical considerations and statistical tests, the main conclusion of this dissertation is that an equation consisting of a linear drift function and a complete quadratic diffusion function (hereafter: “the linear-quadratic model”) is a specification preferred to other specifications frequently found in the literature. These so-called benchmark processes are: the geometric and arithmetic Brownian motions, the mean-reverting Vasicek and Cox, Ingersoll and Ross processes, and the modified Square Root process. Those specifications can all be considered particular cases of the generic linear-quadratic model. The linear-quadratic model is classified as a hybrid model since it is shown to be constructed from the combination of geometric and arithmetic Brownian motions. The linear-quadratic specification is described by a fundamental model, rooted in well-studied and generally accepted business and financial assumptions, consisting of two coupled, recursive relationships between operating and investing cash flows. The fundamental model explains the positive feedback mechanism assumed to exist between the two types of cash flows. In a stochastic environment, it is demonstrated that the linear-quadratic model can be derived from the principles of the fundamental model. There is no (known) general closed-form solution to the hybrid linear-quadratic cash flow specification. Nevertheless, three particular and three approximated exact solutions are derived under not too stringent parameter restrictions and cash flow domain limitations. Weak solutions are described by (forward or backward) Fokker-Planck- Kolmogorov equations. This study shows that since the process is converging in time (that is, approximating a stable probability distribution), (uncoupled) investing cash flows can be described by a Pearson diffusion process approaching a stationary Person-IV probability density function, more appropriately a Student diffusion process. In contrast, (uncoupled) operating cash flow processes are diverging in time, that is exploding with no stable probability density function, a dynamic analysis in a bounded cash flow domain is required. A suggested solution method normalises a general hypergeometric differential equation, after separation of variables, which is then transformed into a Sturm-Liouville specification, followed by a choice of three separate second transformations. These second transformations are the Jacobi, the Hermitian and the Schrödinger, each yielding a homonymous equation. Only the Jacobi transformation provides an exact solution, the other two transformations lead to approximated closed-form general solutions. It turns out that a space-time density function of operating cash flow processes can be construed as the multiplication of two (independent) time-variant probability distributions: a stationary family of distributions akin to Pearson’s case 2, and the evolution of a standard normal distribution. The fundamental model and the linear-quadratic specification are empirically validated by three different statistical tests. The first test provides evidence that the fundamental model is statistically significant. Parameter values support the conclusion that operating and investing processes are converging to overall long-term stable values, albeit with significant stochastic variation of individual firms around averages. The second test pertains to direct estimation from approximated SDE solutions. Parameter values found, are not only plausible but agree with theoretical considerations and empirical observations elaborated in this study. The third test relates to an approximated density function and its associated approximated maximum likelihood estimator. The Ait-Sahalia- method, in this study adapted to derive the Fourier coefficients (of the Hermite expansion) from a (closed) system of moment ODEs, is considered a superior technique to derive an approximated density function associated with the linear-quadratic model. The maximum likelihood technique employed, proper for high-parametrised estimations, includes re-parametrisation (based on the extended invariance principle) and stepwise maximisation. Reported estimation results support the hypothesised superiority of the linear-quadratic cash flow model, either in complete (five-parameter form) or in a reduced-parameter form, in comparison to the examined five benchmark processes.</p>

Stochastic continuous-time cash flows: A coupled linear-quadratic model

<p>The focal point of this dissertation is stochastic continuous-time cash flow models. These models, as underpinned by the results of this study, prove to be useful to describe the rich and diverse nature of trends and fluctuations in cash flow randomness. Firstly, this study considers an important preliminary question: can cash flows be fully described in continuous time? Theoretical and empirical evidence (e.g. testing for jumps) show that under some not too stringent regularities, operating cash flow processes can be well approximated by a diffusion equation, whilst investing processes -preferably- will first need to be rescaled by a system-size variable. Validated by this finding and supported by a multitude of theoretical considerations and statistical tests, the main conclusion of this dissertation is that an equation consisting of a linear drift function and a complete quadratic diffusion function (hereafter: “the linear-quadratic model”) is a specification preferred to other specifications frequently found in the literature. These so-called benchmark processes are: the geometric and arithmetic Brownian motions, the mean-reverting Vasicek and Cox, Ingersoll and Ross processes, and the modified Square Root process. Those specifications can all be considered particular cases of the generic linear-quadratic model. The linear-quadratic model is classified as a hybrid model since it is shown to be constructed from the combination of geometric and arithmetic Brownian motions. The linear-quadratic specification is described by a fundamental model, rooted in well-studied and generally accepted business and financial assumptions, consisting of two coupled, recursive relationships between operating and investing cash flows. The fundamental model explains the positive feedback mechanism assumed to exist between the two types of cash flows. In a stochastic environment, it is demonstrated that the linear-quadratic model can be derived from the principles of the fundamental model. There is no (known) general closed-form solution to the hybrid linear-quadratic cash flow specification. Nevertheless, three particular and three approximated exact solutions are derived under not too stringent parameter restrictions and cash flow domain limitations. Weak solutions are described by (forward or backward) Fokker-Planck- Kolmogorov equations. This study shows that since the process is converging in time (that is, approximating a stable probability distribution), (uncoupled) investing cash flows can be described by a Pearson diffusion process approaching a stationary Person-IV probability density function, more appropriately a Student diffusion process. In contrast, (uncoupled) operating cash flow processes are diverging in time, that is exploding with no stable probability density function, a dynamic analysis in a bounded cash flow domain is required. A suggested solution method normalises a general hypergeometric differential equation, after separation of variables, which is then transformed into a Sturm-Liouville specification, followed by a choice of three separate second transformations. These second transformations are the Jacobi, the Hermitian and the Schrödinger, each yielding a homonymous equation. Only the Jacobi transformation provides an exact solution, the other two transformations lead to approximated closed-form general solutions. It turns out that a space-time density function of operating cash flow processes can be construed as the multiplication of two (independent) time-variant probability distributions: a stationary family of distributions akin to Pearson’s case 2, and the evolution of a standard normal distribution. The fundamental model and the linear-quadratic specification are empirically validated by three different statistical tests. The first test provides evidence that the fundamental model is statistically significant. Parameter values support the conclusion that operating and investing processes are converging to overall long-term stable values, albeit with significant stochastic variation of individual firms around averages. The second test pertains to direct estimation from approximated SDE solutions. Parameter values found, are not only plausible but agree with theoretical considerations and empirical observations elaborated in this study. The third test relates to an approximated density function and its associated approximated maximum likelihood estimator. The Ait-Sahalia- method, in this study adapted to derive the Fourier coefficients (of the Hermite expansion) from a (closed) system of moment ODEs, is considered a superior technique to derive an approximated density function associated with the linear-quadratic model. The maximum likelihood technique employed, proper for high-parametrised estimations, includes re-parametrisation (based on the extended invariance principle) and stepwise maximisation. Reported estimation results support the hypothesised superiority of the linear-quadratic cash flow model, either in complete (five-parameter form) or in a reduced-parameter form, in comparison to the examined five benchmark processes.</p>

KEBIJAKAN PEMBAGIAN DIVIDEN KAS DI PERUSAHAAN SUB SEKTOR PERDAGANGAN ECERAN

ABSTRAKTujuan dari penelitian ini adalah untuk menganalisis pengaruh laba bersih, arus kas operasi, investment opportunity set, dan firm size terhadap dividen kas. Penelitian ini dilakukan pada perusahaan sub perdagangan eceran yang terdaftar di Bursa Efek Indonesia periode 2015–2019. Sampel terdiri dari lima perusahaan yang dipilih dengan menggunakan metode purposive sampling. Penelitian ini menggunakan uji regresi linear berganda untuk menguji hipotesis. Hasil pengujian menunjukkan bahwa laba bersih berpengaruh positif terhadap dividen kas, sedangkan arus kas operasi, investment opportunity set, dan firm size tidak berpengaruh. Hal ini dapat menjadi perhatian bagi perusahaan untuk terus meningkatkan kinerja perusahaan dalam menghasilkan laba bersih. Dengan laba yang tinggi, para investor akan lebih tertarik untuk menginvestasikan dananya. ABSTRACTThe purpose of this study is to analyze the effect of net income, operating cash flow, investment opportunity set, and firm size on cash dividends. This research was conducted on sub-retail trading companies listed on the Indonesia Stock Exchange for the 2015–2019 period. The sample consists of five companies, selected using the purposive sampling method. It uses multiple linear regression to test the hypotheses. Results show that net income affects positively cash dividends. While cash flow, investment opportunity set, and firm size does not affect cash dividends. This can be a concern for the company to continue to improve the company's performance in generating net income. With high profits, investors will be more interested in investing their funds.