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The purpose of this paper is to compare companies in a developing country with those of a first‐world country. For this purpose South African (SA) companies in the chemical, food and electronic industries are to be evaluated on the hand of cash flow ratios and compared with companies in the USA in similar industries.

Giacomino and Mielke proposed nine cash flow ratios for performance evaluation. Ratios were calculated for companies in the USA in the chemical, food and electronic industries for 1986‐1988. Industry norms were calculated for the period, indicating that the potential existed to develop benchmarks for the ratios by industry. Jooste calculated cash flow ratios for listed companies in SA, similar to those calculated by Giacomino and Mielke. The results of the SA companies were then compared with the US companies.

The comparison revealed some similarities and differences. The cash flow sufficiency ratio showed that the SA industries had enough cash to pay primary obligations, whereas the US industries did not. At the levels of cash generated by SA industries the investments in assets and dividend payouts were more than for US industries. The cash flow generated by assets used in SA is also more than that of the USA but US industries retire long‐term debt in a shorter period than SA industries.

The periods used in the comparison differ. Research using the same periods was not available. No information was available on the state of the economies in each country for those periods.

The work done by Giacomino and Mielke is to be recommended. Further studies on the utility of cash flow data would be necessary to develop a set of cash flow‐based ratios. Such ratios used in conjunction with traditional balance‐sheet and income statement ratios should lead to a better understanding of the financial strengths and weaknesses of a company.

By comparing industries of a developing country with those of a first‐world country one may have an indication of the performance of SA companies in a global market.

Sees the objective of teaching financial management to be to help managers and potential managers to make sensible investment and financing decisions. Acknowledges that financial theory teaches that investment and financing decisions should be based on cash flow and risk. Provides information on payback period; return on capital employed, earnings per share effect, working capital, profit planning, standard costing, financial statement planning and ratio analysis. Seeks to combine the practical rules of thumb of the traditionalists with the ideas of the financial theorists to form a balanced approach to practical financial management for MBA students, financial managers and undergraduates.

The pandemic COVID-19 has affected every sector of an economy in every possible way. Banking sector of Bangladesh has been affected by it badly. The purpose of this paper is to find out the impact of COVID-19 on the liquidity and financial health of the listed banks in Bangladesh.

Liquidity ratios are calculated to measure the liquidity condition of the banks and revised Altman's Z-Score Model for non-manufacturing companies is used to measure the financial health. The ratios are compared before and during the COVID-19 periods to assess the impact.

The findings of this study indicate a deterioration of liquidity position and financial health of the listed banks after the emergence of this pandemic. Though the banks have poor liquidity ratios and financial health prior to the emergence of this pandemic, they have decreased more in the second quarter of 2020. Most of the banks have poor liquidity ratios and cash position. The listed Islamic Banks have poor financial health than the listed Commercial Banks and all the banks belong to the red zone in all the quarters.

The results of this study will have policy implications for companies and regulators of money market.

This paper is a pioneer initiative in assessing the impact of COVID-19 pandemic on liquidity and financial health based on empirical data.

This study investigates overtrading, which is the result of an expansion rate that is too high in relation to a particular business’s structure. It often results in cash flow problems. The phenomenon of overtrading is described in a case study on Profurn. In this study, a ratio was developed that can be used to identify companies in an overtrading position. Selected variables were tested by means of the Kruskal Wallis test in order to pinpoint variables that can discriminate successfully between companies that are overtrading and ones that are not. Overtrading occurred in 15.5% of the company years of listed South African companies between September 1989 and December 2005. Of the 35 variables tested, 31 were found to be able to discriminate statistically between company years in which overtrading occurred as opposed to ones in which it did not occur. These variables can therefore be used to profile companies that overtrade.

This paper aims to perform empirical analysis to test whether less severe agency conflict between managers and controlling shareholders may improve family firms’ corporate and stock liquidity, compared to non-family firms.

The authors use the ordinary least square and two-stage generalized method of moments regression analyses. They also use match-paired design for robustness check.

Focusing on Standard & Poor’s 500 firms, the authors find that family firms are more conservative by hoarding more corporate liquid assets (as measured by accounting balance sheet liquidity ratios) than their peer non-family firms to prevent underinvestment from external costly finance. These family firms also exhibit higher level of stock liquidity and lower liquidity risk as measured by effective bid–ask spread than non-family firms. The results are consistent with the motivation that organizations (i.e. family firms in this study) whose shareholders can efficiently monitor that their managers are associated with higher level of corporate liquidity and stock liquidity, and lower level of liquidity risk.

This study contributes to the literature on liquidity (both corporate liquidity and stock liquidity) and ownership structure, more broadly corporate governance. It provides insights into corporate and stock liquidity within a unique ownership context: family firms versus non-family firms. Family firms in the USA are subject to both Type I (agency problems arising from the separation of ownership and control) and Type II agency problems (agency conflict arising between majority and minority shareholders). It is an ongoing debate whether family firms suffer more or less agency problems from one type versus the other than non-family firms. The finding that family firms have higher corporate and stock liquidity is consistent with that family firms being subject to less severe agency conflict due to separation of ownership from control.

Prior research established a seven dimensional taxonomy of financial ratios. The purpose of this paper is to identify the extent to which the previously identified relationships have changed, and if appropriate, to establish an entirely new taxonomy of manufacturing industry financial ratios.

The authors used principle component analysis (PCA) to identify factor patterns for 58 financial ratios over the ten-year period 2004-2013. The validity of employing PCA was confirmed using the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s test of sphericity.

This study identified four additional financial analysis factors beyond the seven established by prior research. Notably, a separate cash flow factor did not surface as was the case in earlier work but an entirely new factor (current position) was identified.

This paper leaves to future research to establish the precise causes for the changes to the taxonomy of financial ratios and how to best utilize the new set of factors for financial analysis research.

This paper identifies changes in financial ratio relationships to guide future researchers in selecting appropriate ratios for their studies.

This study substantially improves and extends prior work in two areas. First, it utilizes advanced statistical methodologies and computing technologies that were unavailable to previous researchers. Second, it investigates not only the current taxonomy of manufacturing industry financial ratios, but also its stability over a recent ten-year period.

This paper aims to focus on the absence of a direct criterion for the ideal level of net working capital (NWC) for which Acikgoz (2014) theoretically demonstrates that this NWC can be treated in a manner that allows the assessment of repayments. The study presents and discusses a new multiplier (i.e. the afa coefficient), defined as the ratio of cash equivalents ratio to NWC, measured as the percentage of short-term liabilities (Acikgoz, 2014). In other words, the study explores whether NWC could be an indicator of the ratios of corporate short-term bank credit to STL and of bank credit to total assets.

Sectoral panel regressions are used in the case of Turkey, spanning the period 1996-2013, on data obtained from the Central Bank of Turkey. Through second-generation panel unit root tests for cross-section dependence and panel cointegration methodologies, the results illustrate the statistical significance of the CD statistics, indicating the presence of cross dependence, the presence of non-stationary variables and the presence of a long-run association for the variables under study.

The findings document that a transformed variable of NWC is more substantive than the explicatory quality of the current ratio and may potentially be used in the prediction of bank credit in corporate liabilities.

The afa coefficient shows the ratio of liquid assets to NWC as a percentage of STL. The results illustrate that this coefficient plays a significant role for corporate bank credit usage in the case of the Turkish sectoral analysis.

This study seeks to evaluate the stability of financial ratios across industry and over time. The sample comprises companies listed on the Stock Exchange of Singapore from 1980 to 1991 over six industry groupings. A set of 29 most commonly used ratios was selected for the study. Descriptive statistics, factor analysis and analysis of variance were performed. From the factor analysis results, eight representative ratios were identified. Analysis of variance and multiple comparisons were subsequently performed for each representative ratio to test if it is significantly different across industry and over time. The results indicate that financial ratio averages of the various industries are significantly different. This implies that the appropriate benchmark for evaluating company performance and position should be industry‐specific instead of economy based. Also, five of the representative ratios are significantly different over time and not all the industrial averages move consistently over time (i.e., interaction effects of industry and time exist). Thus, industry averages are not necessarily appropriate benchmarks for setting and evaluating performance through time.

Business failures during the economic recession of 2008‐2010 years were unusually high in the USA. The purpose of this paper is to build a new model to predict business failure, using mostly cash flow statement based measures as predictor variables and discriminant analysis technique.

The authors' data matrix consisted of 100 firms and seven predictor variables. A total of 50 “failed” firms were matched with 50 non‐failed firms according to Standard Industrial Classification (SIC) code and size. Financial statement data for the year prior to failed year were pulled from COMPUSTAT database. Seven predictor variables were selected, namely Operating cash flow divided by current liabilities, Cash flow coverage of interest, Operating cash flow margin, Operating cash flow return on total assets, Earning quality, Quick ratio and Three‐year sales growth. The SPSS‐19 software was used to perform discriminant analysis (DA).

The DA model classified 83.3 percent of original grouped cases correctly. The cross‐validated approach (jackknife or leave‐one‐out method) correctly classified 79.5 percent of cases. The chi‐square test of Wilks' lambda was significant at 0.000 level which means the model as a whole performed very well in predicting business failure.

This study is unique in many respects. First, the sample companies are not industry specific. They come from more than 20 different two‐digit SIC codes, which means the authors' model is very generic in nature. Second, the seven predictor variables (financial ratios) they selected are logically justified; these are not an outcome of step‐wise procedure. Third, most of the predictor variables use operating cash flow information from the cash flow statement. Fourth, all the failed firms in the authors' test sample are from the most recent, 2008‐2010, period.

This study assesses the change in states’ financial condition by examining their financial data in fiscal years (FY) 2003 and 2004. It explores and explains how much the change was, how it occurred, and whether and how closely the change might respond to states’ socioeconomic development. The study finds that states’ financial condition varied significantly from FY 2003 to FY 2004. Changes in different aspects of financial condition are interrelated, although these changes may not occur simultaneously at the same pace. The change in financial condition may result from the multi-year cumulative socioeconomic development in personal income and employment, but not in population. The impact of personal income and employment on financial condition of a government is likely long term; it may take 3-4 years for the growth in personal income and employment to benefit a government’s financial condition. The results also suggest that the cumulative improvement of personal income and employment for consecutive years prior to a fiscal year is more likely to improve the financial condition of that year than a personal income or employment increase that follows an up-and-down pattern of growth. These findings can be used to develop effective strategies to improve financial conditions in government.