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Journal : International Journal Of Science, Technology

Analysis Of The Effect Of Net Profit, Operational Cash Flow, Free Cash Flow, Previous Year Cash Dividends On Cash Dividends In The Indonesia Stock Fatia Fatimah; Sifriyani; Deni sunaryo; Etty Puji lestari
International Journal of Science, Technology & Management Vol. 3 No. 1 (2022): January 2022
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v3i1.450

Abstract

This study aims to determine the analysis of the effect of net income, operating cash flow, free cash flow, cash dividends in the previous year, on cash dividends. This study uses a food and beverage sub-sector research design. The research population amounted to 18 companies for 5 years from 2014-2018 and were picked up by 7 companies in a row to publish their financial statements. The method used in this data analysis using multiple linear regression analysis. Based on the results of the study, it can be concluded that: net income has no effect on cash dividends, operating cash flow has no effect on cash dividends, free cash flow has no effect on cash dividends, previous year's cash dividends have an effect on cash dividends.recommendations The company should pay attention to the cash dividend payments in previous years as an independent variable that affects the current year's cash dividend. Because the company will be attractive to shareholders whose preferences are related to dividend payout and stability. Investors want a stable dividend as a source of income embedded in shares that are paid the same amount of dividends every period. For further researchers, it is better to add the number of samples in the observation period of 6 years or 7 years, adding other variables such as Analyzing the relationship between Net profit, Operating Cash Flow with cash dividends, or Effect of accounting profit, cash profit, Free Cash Flow, Operating Cash Flow, leverage and current ratio to cash dividend. and can expand the research sample, not only to manufacturing companies but to more than one type of company.
Identification of Financial Distress With Company Size As A Moderating Variables in Southeast Asia Property and Real Estate Industry Deni Sunaryo
International Journal of Science, Technology & Management Vol. 2 No. 1 (2021): January 2021
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v2i1.115

Abstract

This study aims to identify Financial Distress with Firm Size as a moderating variable in the property and real estate industry in Southeast Asia for the period 2012-2019. In identifying financial distress, the dimensions of Net Profit Magin, Current Ratio, and Debt To Asset Ratio are used. The sample used in this research is the company's complete financial statements from the 2014–2019 research year of 35 companies obtained by using purposive sampling technique. The data collection technique uses the documentation method, while the data analysis technique uses multiple linear regression analysis which is supported by the classical assumption test, namely the normality test, multicollinearity test, heteroscedasticity test, and autocorrelation test and model test moderation. The results showed that partially the Net Profit Margin, Current Ratio, Debt to Asset Ratio variables partially had a significant effect on Financial Distress, and Net Profit Margin, Current Ratio and Debt to Asset Ratio simultaneously had a significant effect on Financial Distress in the Property and Real Industry. Southeast Asia estate, whereas for the moderation model Firm size does not moderate Net Profit Margin, Current Ratio, Debt to Asset Ratio to Financial Distress. The value of R Square is 53.4%, indicating that the Financial Distress variable is influenced by all NPM, CR and DAR variables, the remaining 46.6% is influenced by other variables outside of this study including changes in exchange rates, differences in inflation, differences in interest rates, independence of the central bank. , economic growth, expectations, and so on. Recommendations for further research are to replace the moderating variables with other dimensions or indicators.