IMPLEMENTATION OF CASH FLOW AS A MEASURING TOOL IN PREDICTING FUTURE NET INCOME

In Indonesia, MSMEs are protected and have a legal shield such as the Presidential Decree No. 19 of 1998 and several other regulations. Where at this time, many MSME businesses are starting to grow both on a household and large scale, this includes Culinary Business. Culinary businesses are one of the many MSME that are starting to flourish, both on a domestic and big scale, at present moment. This business is in high demand among teenagers and adults. With a limited budget, this business may be launched at home, and it has a potential future. Therefore, the background behind the realization of Kedai Nyobian 8 which is used as a case study of problems that occur in the operational activities of Kedai Nyobian 8. The purpose of this study is to analyze net income in predicting operating cash flows in the future. The research method used is quantitative method. The population in this study is a case study at Kedai Nyobian 8 with a number of samples in the form of financial statements for September for 30 days. While October for 26 days, hence the total sample is 56 observations. The sampling measurement technique is a case study at Kedai Nyobian 8 using Saturated Sample. Therefore, Kedai Nyobian 8 will be more effective and achieve better results in the future by reducing unnecessary costs and anticipating future earnings in cash flow.

Finance and Innovation Solutions to Implement Investment Programs in Electric-Power Complex of the Russian Federation

Today we observe changes in concepts of organizing power - engineering industry and tariff pricing. While estimating the pressure of sanctions, everybody agrees that the worst damage is caused by finance tools. Therefore, innovation in electric-power sector is started with finance innovation. It is also necessary to bear in mind the future earnings of stakeholders and households that plan to re-orient their investment from oil sector to electric-power engineering. This trend is being discussed right now, though for Russia with its gas reserves and customer preferences the process of investment changes can be rather long. The finance platform in this industry is not fundamental yet. It is possible to start innovation only after accumulating some funds. For instance, it is planned to change elements in the structure of power and fuel potential, to reform technical and technological elements of infrastructure (chat-bots with geographic and product applications, drones, quadrocopters, which can be used for linear and high buildings). In the future it is planned to develop new customer clusters with certain social index. In the article the authors study finance and innovation solutions to implement innovation programs in electricpower complex in conditions of digitalization and imperative indices of investment, though digitalization is called the key anti-ecological factor in this sector.

Management Forecasting Ability and Predictive Ability of Dividend Changes for Future Earnings

We revisit the predictive ability of dividend changes for firms’ future earnings and extend the literature by examining the effect of management forecasting ability. Although prior studies have examined the relationship between dividend changes and future earnings, the empirical evidence is mixed. The belief that dividend changes have implications for future earnings depends on the assumption that managers can accurately assess future earnings prospects. In this regard, we posit that the predictive ability of dividends can vary with managers’ forecasting ability. Analyzing a large sample of Japanese dividend-paying firms, we find that dividend changes, particularly dividend increases, are positively associated with increases in future earnings. Consistent with our hypothesis, this positive association is more pronounced for firms with high-forecasting ability managers. Our findings support the signaling theory of dividend changes and indicate that management forecasting ability has a moderating effect on the linkage between firms’ dividend changes and future earnings.

Wildfire Smoke Exposure Worsens Learning Outcomes

Wildfires and associated smoke exposure have increased in frequency and severity over the past two decades, threatening to undo decades of air quality improvements. Our understanding of the impacts of these growing exposures on a range of societal outcomes remains incomplete. Building on emerging evidence that environmental exposures can negatively affect cognition, we investigate the effect of wildfire smoke exposure on learning outcomes across the US. We combine standardized test score data from 2009-2016 for nearly 11,700 public school districts across 6 grades with satellite-derived estimates of daily smoke exposure. We estimate that relative to a school year with no smoke, average cumulative daily smoke-attributable PM2.5 exposure during the school year (~35 ug/m^3) reduces both English language arts and math scores by ~0.16% of a standard deviation. These impacts are more pronounced among younger primary school students and are apparent across communities with differing levels of economic disadvantage and racial-ethnic composition. Using previous estimates of the relationship between test score performance and future earnings, we estimate that smoke PM2.5 exposure in 2016 reduced discounted future earnings by $117 per student, resulting in cumulative future earning losses of nearly $1.9 billion across the US. Roughly 80% of these costs are borne by disadvantaged districts. Our findings quantify a previously unaccounted for social cost of wildfire that is likely to worsen under a warming climate.

Acceptability of a Newly Developed Financial Program for Caregivers of Individuals Living with a Chronic Illness

Over 40 million informal caregivers provide care to adults aged 50 or older with a chronic illness. In addition to the negative health and well-being impact, caregivers experience financial difficulties including lost income, retirement benefits, future earnings, and unanticipated out-of-pocket costs. Few evidence-informed programs exist to assist caregivers in understanding and managing these financial tasks. This poster presents preliminary acceptability data from 71 caregivers who completed the newly developed Managing Money: A Caregiver’s Guide to Finances program. The 60-minute program was delivered online by trained community educators and addressed caregiving costs/impacts; future planning; initiating conversations; avoiding financial abuse/fraud; and identifying needs. Participants (Mage = 59.45, SD = 11.31) were 87.32% female with 77.46% self-identified as White, 9.86%, as Black, and 8.45% as Hispanic/Latino. Using a Likert scale (1=strongly disagree to 5=strongly agree), participants indicated the program: 1) identified financial challenges (M= 4.11 ; SD = 0.73); 2) provided information for managing money (M = 3.99; SD = 0.64); 3) content was easy to read/understand (M = 4.49; SD = 0.61); 4) program length was appropriate (M = 4.18; SD= 0.68); and 5) activities were helpful (M = 4.13; SD = 0.69). Participants rated the program as very important (M = 4.54; SD = 0.82) and would highly recommend (M = 4.52; SD = 0.53). Results indicated the program was well-received by participants and highly acceptable. Discussion will highlight key program features designed to promote acceptability along with the importance of measuring acceptability for large-scale implementation along with next research steps.

Locating Source of Water Production and Performing Cost-Effective Rigless Remedial Operations in Deviated Wells Completed with Standalone Sand Screens

Wells that are already drilled and producing are the most viable sources of future earnings for all oilfield operating companies. Keeping these wells producing economically at optimal rates throughout their lifetimes is top priority. With time, some oilfield operating companies face with production related problems, such us water breakthrough. Production logging is well known technique for locating source of water breakthrough in oil and gas producers. In near-vertical, or slightly deviated wells, producing at high rates, traditional production logging tool string can deliver reliable results. On the other side, in deviated wells, producing at small rates, advanced production logging tool is required, due to presence of fluid segregation and recirculation within borehole. Our experience shows that wisely selected logging technique, depending on downhole logging environment, allows to locate source of water production with confidence for planning water shut-off remedial operations. In wells completed with standalone sand screens water shut-off operation might be complicated as often rig is required for pulling out of hole tubing with sand screens. Another method is to perform chemical water shut-off treatment that might be expensive in some cases. Alternative method is to confirm compact sand accumulation in the annulus and set through tubing bridge plug inside sand screens in wells that producing water from bottommost layers. Plug is deployed in wells without pulling out of hole tubing, as it can pass through restrictions, making this rigless intervention fifty times cheaper compared to intervention with rig. Field examples, presented in this paper, describe fit-for-purpose logging approach for locating source of water production accurately and executing unique rigless water shut-off operations in cased wells completed with standalone sand screens to increase hydrocarbons production in cost-effective way. After remedial operations we observed significant decline in water production and increase in oil rates in all wells that were intervened.

The ability of cash flows to predict the earning: Evidence from Jordan

This study aims to investigate the ability of cash flows components to predict the earning and to know the extent of the relationship between accounting profits and cash flow measures. The study sample consisted of 77 industrial companies listed on the Amman Stock Exchange in Jordan for the period from 2006 to 2019. This study relied on the regression method to test the relationship between the study variables. The study findings showed that the cash flows from operating, investing, and financial activities have a statistically significant impact on predicting future earnings. The study also examined the effect of length of operating cycle and company’s size on the predictive ability of cash flows regarding future earnings. The main results for this aspect are that large companies and short operating cycle companies have higher prediction ability for future earnings than small and long operating cycle companies. This paper provides evidence of the information content of cash flows for future earnings in emerging markets like Jordan and is important for Jordanian shareholders by enabling them to evaluate company’s performance. AcknowledgmentsI would like to thank Amman Arab University for its great support, and for funding this study.