Good management of cash flow will help managers control cost estimates, control plan implementation as well as control additional costs, ensuring project success. Therefore, identify-ing the factors influencing the cash flow of enterprises helps create synchronous solutions to improve the efficiency of cash flow management, contributing for improving the operational efficiency of the enterprises. This study is based on a survey to determine the factors influenc-ing the cash flow through the questionnaires and interviews of 105 construction companies listed on the Vietnam Stock Exchange in 2018. The study conducts descriptive statistics anal-ysis of surveyed enterprises; check the Exploratory Factor Analysis (EFA) analysis conditions to determine the groups of influencing factors on cash flow in construction companies listed on the Vietnam Stock Exchange. At the same time, this study remains to check a sample T-test with a value set to 3.0 and 5% reliability and analysis of EFA discovery factors to select components with the highest coefficients and load components. Based on the EFA analysis results, the study finds six main groups of factors affecting the cash flow of construction companies. They are: macro environment; construction period; payables and receivables; construction cost; retention; loan payment and tax. The study also shows that the effect of varia-bles to cash flow management varied with a mean value from 0.17 to 0.518. Based on the research results, the authors provide some recommendations to strengthen cash flow management in construction companies listed on the Vietnam Stock Exchange.

This article examines how investor sentiment affects stock returns on Vietnam's stock market. Investor sentiment index is measured by a relative strength index (RSI) of 57 companies listed on the Ho Chi Minh Stock Exchange from January 1, 2015 to July 31, 2020. Control variables include investors' stock trading behavior, firm size, and cash flow per share. Using Fama-MacBeth regression estimation and general least square estimation (GSL) on a daily basis, both methods find the sentiment of high investors producing higher stock returns, on the contrary, the sentiment of low investors erodes stock returns. Different from the results of Brown and Cliff (2004) [Brown, G. W., & Cliff, M. T. (2004). Investor sentiment and the near-term stock market. Journal of empirical finance, 11(1), 1-27], the article found that the investor sentiment factor plays the most important role in explaining the return of the stock market compared to the rest of the factors.

During the past few years, there have been tremendous studies on measuring the effects of various factors on stock prices. This paper presents an empirical investigation to study the effects of book value, net earnings and cash flow on stock prices of 129 selected firms listed on Tehran Stock Exchange over the period 2007-2012. Using some regression techniques, the study has determined that the effects of book value, net earnings as well as cash flow decreases over the time although the effects of book value is bigger than net earnings and cash flow. However, as time passes on, there is no change on trend of the effects of these components on stock price.

This paper presents an empirical investigation to see whether or not there is any relationship between profit conservatism and investment sensitivity and efficiency of investments in listed companies of Tehran Stock Exchange (TSE). Using regression analysis, the study investigates whether there is any relationship between conservatism and sensitivity of investments, between profit conservatism and efficiency of company’s investments and between conservatism ability to create profit and cash in accepted TSE firms. The study chooses a sample of 102 firms from TSE market over the period 2005-2011 and the results confirmed that there were positive and meaningful relationship between all variables of the survey (? = 5%).

Cash flow models are one of the spotlights for evaluating a project. The actual data should be modeled then it could be used for the prediction process. In this paper, 996 airplane maintenance basis data are used as a database, and 119 similar data are chosen after clustering. The project is divided into 20 equal periods and first three periods are used for simulating the next point. The predicted data for each point is achieved by using of previous points from the beginning. The model is based on artificial neural network, and it is trained by three algorithms which are Genet-ic Algorithm (GA), Estimation of Distribution Algorithm (EDA), and hybrid GA-EDA method. Two dynamic ratios are used which are dividing the population into two halves, and the other is a ratio without dividing. The ratio would give a proportion to GA and EDA models in the hybrid algorithm, and then the hybrid algorithm could model the system more accurately. For each algorithm, three main errors are calculated which are mean absolute percentage error (MAPE), mean square error (MSE), and root means square error (RMSE). The best result is achieved for hybrid GA-EDA model without dividing the population and the MAPE, RMSE, and MSE values are %0.022, 28944.59 Dollars, and 837789503.79 Dollars, respectively.

This study investigates the explanatory power of leverage and cash flows in future cash flow prediction in Tehran Stock Exchange by considering Signaling Theory and Pecking Order Theory. Based on theoretical foundations, the regression models of leverage and cash flow with a set of control variables was developed. Statistical samples consist of companies listed in Tehran Stock Exchange over the period 2005- 2011. The results show that there was a negative relationship between cash flow and leverage levels in contemporary time. This is consistent with pecking order behavior. While at intertemporer level, there was a positive relationship between current leverage and the firm & apos; s cash flows in the future. This is consistent with signaling theory.

Cash flow and leverage are two main components of any business firms. A good level of cash flow and leverage shows a desirable performance for business organizations. This paper presents an empirical investigation to study the relationship between combined leverage and cash flow in terms of board of director’s ownership and corporate governance structures. The study selects 86 randomly selected firms listed on Tehran Stock Exchange over the period 2009-2013. Using some statistical tests, the survey has indicated that there was a meaningful relationship between leverage and cash flow for firms with different corporate governance structures. The study has also determined that there was a meaningful relationship between leverage and cash flow for firms with different board of director’s ownerships.