The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...

The purpose of this study was to determine the effect ROA, ROE, NPM, and EPS on stock prices in Indonesian insurance business sub-sector traded Indonesia Stock Exchange (IDX) between 2017 2020. is subject investigation. It determined that return assets (ROA), profit margin (NPM), are independent variables for study, but considered as dependent variable. Return Assets, Equity, Earning Per Share,...

The objective of this study is to introduce the concept of Economic Value Added (EVA) in the Greek context and to provide an explanation on the utilization of both earnings and EVAin the ASE. The study interprets results obtained from an analysis carried out on the basis of secondary financial data relating to the period 1995-2001. Proponents of EVA provided evidence to establish this method as...

In this paper, we re-examine the widely-held belief that analysts’ earnings per share (EPS) forecasts are superior to forecasts from a time-series model. Using a naive random walk time-series model for annual earnings, we investigate whether and when analysts’ annual forecasts are superior. We also examine whether analysts’ forecasts approximate market expectations better than expectations from...

Company's financial performance is a factor considered by investors in investing. This study aims to determine the effect of Earning per Share (EPS), Price Earnings Ratio (PER), and Book Value (PBV) on stock price. Eight coal mining companies listed Indonesia Stock Exchange (IDX) 2014-2018 were taken for samples this research using purposive sampling technique. Multiple linear regression was us...

In this paper we use neural network models to forecast earnings per share (EPS) of Chinese listed companies using fundamental accounting variables. The sample includes 723 Chinese companies in 22 industries over 10 years. The result shows that the neural network model with weights estimated with genetic algorithm (GA) outperforms the neural network with weights estimated with back propagation (...

This study aimed to analyze the effect of Net Profit Margin (NPM) and Earning per share (EPS) on stock prices either partially or simultaneously in Ceramic, Porcelain Glass Sub-Sector Listed Indonesia Stock Exchange for 2012-2018 period. The research method used is a quantitative with descriptive verification approach. data analysis statistical using SPSS software. independent variables this ar...

This study aims to investigate the impact of fundamental elements company as seen through financial ratios, including Current Ratio (CR), Return on Equity (ROE), Debt (DER), Earnings Per Share (EPS), Price Earning (PER), and macroeconomic variables Inflation BI Rate stock returns companies in Jakarta Islamic Index category Indonesia Stock Exchange period 2015-2020. Panel data regression analysi...

Accounting information has an important role in describing the condition and performance of a company. However, some investors have not fully used accounting sorting out share purchases. This study examines relevance to prices companies listed on Jakarta Islamic Index (JII) for period 2015 2020. The is Earnings per Share (EPS), Book Value (BV), Return On Equity (ROE), Net Profit Margin (NPM), C...