Profitability is an important performance measure and a related study based on the life cycle of firms is appreciated by researchers and managers. The impact of the financial crisis adds novelty to such research. This study discusses the impact of financial ratios on profitability of firms under the influence of financial crises. It is based on a sample of 42 Jordanian firms and uses panel data regression on an annual dataset for the time period 2000-2018. The study found mature stage firms to be explained best with the suggested model. The impact of current ratio on the profitability of all companies was observed as positive while the profitability is found to be negatively affected by debt for all life cycle stages except for the declining stage. Also, it is found that the declining stage firms need to rely on debt to stay profitable and sustain.

This paper attempts to predict financial distress companies in the manufacturing and non-manufacturing sectors in Malaysia using financial distress companies as the dependent variable and financial ratios and macroeconomic variables as the independent variables. Logit Analysis was used as the analysis procedure because ratios do not have to be normal if it is used. It is also suitable when the dependent variable is binary in nature. Furthermore, it can also provide the probability of a company being financially distressed. This study found that the independent variables that can be used to predict financial distress companies in the manufacturing sector in Malaysia were total assets turnover ratio, current ratio, net income to total assets ratio and money supply (M2). However, the independent variables that can be used to predict financial distress companies in the non-manufacturing sector in Malaysia were debt ratio, working capital ratio, net income to total assets ratio and money supply (M2). This study provides the prediction models of financial distress com-panies in the manufacturing and non-manufacturing sectors in Malaysia using financial ratios and macroeconomic variables as its independent variables.

The aim of this article is to analyse the short-term solvency of large companies in the wine sector in the period 2014-2018, in two relevant Spanish wine-production areas and assess significant differences in time and between regions. Liquidity is a direct threat to the financial health of companies and is analysed using standard financial indicators and compositional data, in order to prevent the common outlier, non-linearity and asymmetry problems in standard financial ratios. The study shows that the compositional ratios are statistically more adequate and that the turnover indicator between operating cash inflows with respect to current investments and operating cash outflows with respect to current liabilities is a complementary indicator to standard cash flow ratios. Wineries in La Rioja have better liquidity than Catalan wineries in the period under study.

In this paper, an effort has been put to develop a model for estimating growth based on logit re-gression (logit) and implemented the model to Italian manufacturing companies. Our data set consists of 8232 SMEs of Italy. To estimate the growth of the firm an innovative approach that considers annual statements issued the year before the accelerated growth has been considered as the effective estimators of firm growth. The result of the logit showed that return on asset, log (cash flow) and log (Inventory) positively affect in estimating the growth of the high growth firm whereas working capital turnover times negatively affects in estimating the growth of the firm. The discriminant power of the model using Receiver Operating Characteristics curve shows 72.35%, which means the model is fair in terms of estimating the growth.

This paper investigates the relationship between financial ratios and indicator of systemic risk in the Tehran Stock Exchange. The study selects 73 manufacturing companies of the Tehran Stock Exchange market over the period 2003-2010. The study first calculates the independent variables in the form of financial ratios and then the ratios affecting the systematic risk index are extracted using entropy method. The output of this stage is the introduction of five influential financial indicators as the independent variables of the study. Using t-test and Pearson correlation coefficient the rate of independent variables effect on the systematic risk index is evaluated and finally, using stepwise regression method, the effect of independent variables on the dependent variable is examined. According to results of our survey, the correlation coefficient of such indices as “the ratio of stock price to the profit of each share”, “Current ratio”, “each share profit ratio” and “the stockholders rights return ratio” have respectively the highest correlation with the systematic risk index.

This paper presents a study to investigate the effect of world’s financial turmoil on performance of petrochemical firms listed on Tehran Stock Exchange (TSE). The study designs a questionnaire in Likert scale and distributes it among 87 selected people from 250 existing experts who were active in TSE. The study considers four groups of questions associated with liquidity ratios, operating ratios, leverage and profitability ratios. The questions consider whether financial turmoil has influenced on these four groups of financial ratios or not and the results have been verified using t-student test. According to our survey, although financial turmoil does not seem to have any important impact on operating ratios in this sector, the chaos has influenced on other three financial ratios including liquidity, leverage and profitability ratios.

This paper measures the likelihood of bankruptcy based on some financial ratios such as debt ratio, current ratio, sales to total assets, etc. using logistic regression and classification and regression tree techniques (CART). The proposed study gathers the information of 36 bankrupted firms and 36 non-bankrupted firms based on Tobin Q ratio. The study gathers the necessary information over the period 2005-2011. The preliminary results indicate that both methods have the capability to predict bankruptcy but with different accuracy. The likelihood of bankruptcy based on CART method were 97.2, 97.5 and 86.1 in the event of bankruptcy, one year before and two years prior to bankruptcy, respectively. These figures were changes to 98.6, 94.4 and 84.7 based on logistic method.

One of the major challenges facing all of individuals and organizations is decision-making based on the information. The issues of priority about cash flows and accruals data in decision-making process for different groups of financial statement users include investors, creditors, shareholders, directors, etc. one of the issues that has been controversial between accrual and cash accounting advocators for a long time. In this study, we survey the role of accruals and operating cash flows in decisions of financial statement users in listed companies on Tehran stock exchange, information content of operating cash flows and accruals in the connection with decision-making criteria used by different groups using financial statement has been examined. In this study, we use eliminating sampling and implied limitations and the sample size includes 203 companies to examine six hypotheses. The results of this research indicate that there is a significant different between accruals and operating cash flows information content in relation to various decision-making criteria but utilizing accruals and operating cash flows supplementary and simultaneously in profit frame depending on the selection criteria may or may not be include information value-added.