The purpose of this study is to test the relationship between Cash Flow Component Disclosures and Net Income Earnings Per Share in LQ-45 companies. population was companies listed on Indonesia stock exchange during period 2017 2020 consisting 28 sampling technique used purposive sampling. Multiple regression analysis analyze data. results Through multiple linear analysis, it known that componen...

Investors and other contributors to stock exchange need a variety of tools, measures, and information in order to make decisions. One of the most common tools and criteria of decision makers is price-to earnings per share ratio. As a result, investors are in pursuit of ways to have a better assessment and forecast of price and dividends and get the highest returns on their investment. Previous ...

In this paper, we present a comparative analysis of the forecasting accuracy of univariate and multivariate linear models that incorporate fundamental accounting variables (i.e., inventory, accounts receivable, and so on) with the forecast accuracy of neural network models. Unique to this study is the focus of our comparison on the multivariate models to examine whether the neural network model...

This research analyses the relationship and relative importance of financial factors on Peruvian mining copper companies´ share prices from 2010 to 2018. Voting common were focused book value, dividend per share, yield, price earnings, earnings roe employed as regressors. Fixed-effects regression was used, tests stationarity, distribution, specification harnessed. It found that yield had a posi...

The activities of manufacturing companies that utilize technology have provided easy information for investors. However, the COVID-19 pandemic has resulted in uncertainty investors, where asymmetric stock return response also impacts financial markets Indonesia. This paper examines influence earnings per share (EPS), debt-to-equity ratio (DER), and firm size (FS) on (SR). Using a purposive samp...

John Knopf, Michael Rebello, Dan Rogers, Steve Smith, and John Thorton. We have further benefited from the comments of the anonymous reviewers. We also gratefully acknowledge the contribution of I/B/E/S Inc. in providing earnings per share forecast data as part of a broad program to encourage research on earnings expectations. *Correspondence author, Department of Finance, J. Mack Robinson Coll...