scholarly journals Pengaruh Likuiditas, Solvabilitas dan Nilai Pasar Terhadap Return Saham

2019 ◽  
Vol 1 (1) ◽  
pp. 43
Author(s):  
Dede Hertina ◽  
Mohamad Bayu Herdiawan Hidayat

The purpose of this study was to determine the information, solvability, and value of shares of the Agricultural Sector Companies listed on the Indonesia Stock Exchange for the 2012-2016 period. The method used in this research is descriptive and verification method with a quantitative approach. Research Results The company with the highest liquidity in 2012 was PT Bumi Teknokultura Unggul Tbk with liquidity of 6747.74, and the company with the lowest liquidity in 2013 was PT Bumi Teknokultura Unggul Tbk with liquidity of 14.33. The highest solvency value is PT. Central Proteinaprima Tbk amounted to 64.05, while the lowest solvency value in 2015 was owned by PT Inti Agri Resources Tbk at 0.04. The highest Market Value in 2012 was PT. Central Proteinaprima Tbk amounted to 38.72, while the lowest average market value in 2016 was PT Gozco Plantation Tbk of 0.19. The highest Stock Return Value in 2014 was PT. Central Proteinaprima Tbk at 1.06, while the lowest stock return value in 2015 was owned by PT Eagle High Plantations Tbk at -0.66.

El Dinar ◽  
2014 ◽  
Vol 1 (02) ◽  
Author(s):  
Putri Kurnia Widiati

<p>This study analyzed the effect of Economic Value Added (EVA), Market Value Added (MVA) of otomotif companies Stock return listed on stock exchanges Indonesia, because otomotif companies have an important position on Indonesian Economics.Population of this research are otomotif company that listed on the Stock Exchange of Indonesia from 2007–2010 with sensus sampling method and multiple regresion analysis to analyzed. For the parsial side Market Value Added (MVA) has an influence to stock return of Otomotif Company that listed on the Stock Exchange. To get the trust from investor, otomotif company should have good performance with a good value of Market Value Added, because Market Value Added has significant effect to stock return; and have a good prediction about another factor that influence the stock return wich used histories data for the indicator.</p><p> </p>


2021 ◽  
Vol 11 (1) ◽  
pp. 1-20
Author(s):  
Senny Luckyardi ◽  
Kamelia Agustini ◽  
Nugraha Nugraha ◽  
Maya Sari

This study aims to determine the effect of Dividend Policy and Capital Structure on Agricultural Sector’s Company Value. The research method used in this study is verification method with quantitative approach. The case study was conducted on agricultural sector companies listed on the Indonesia Stock Exchange in 2015-2019. The sample used is Price Book Value (PBV) and Debt to Equity Ratio (DER) in 14 agricultural sector companies obtained from Financial Statements published on the Indonesia Stock Exchange website: www.idx.co.id for the period 2015-2019. The results showed that the variables of Dividend Policy and Capital Structure had a negative and not significant effect on company value.


2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Alex Tumpal Hutajulu ◽  
Evita Puspitasari

This research is performed to examine influence of capm beta, firm size, book to market ratio, and momentum on stock return in companies that listed on the Indonesia Stock Exchange. The population in this research was manufacture companies that listed on the Indonesia Stock Exchange during 2012-2014 with purposive sampling. Variables used in this research are capital gain (return), natural logarithma total asset (firm size), the ratio of book value to market value (book to market ratio), and return t-12 (momentum). The results shows that beta, firm size, book to market ratio and momentum simultaneously have a significant impact toward stock return. The conclusion based on partial test are (1) book to market ratio and momentum have a positive significance influence toward stock return (2) beta has negative insignificance influence toward stock return and firm size has positive insignificance influence toward stock return. Predictive capability of independent variabel in this research to stock return is 34,09% while other 65,91% was influenced by other factors.


2018 ◽  
Vol 23 (1) ◽  
Author(s):  
Nastasya Cindy Hidajat

The purpose of this research was to test the effect of return on equity, earning per share, economic value added, and market value added to stock return of agriculture firm that listed at Indonesian Stock Exchange in the period of 2010-2016 either partially or simultaneously. This research used 77 samples. The method used is panel data regression analysis using EViews 6. The results showed that return on equity, earning per share economic value added, and market value added partially has positive significant influence on the stock return, and return on equity, earning per share, economic value added, and market value added simultaneously affect the stock return.


2019 ◽  
Vol 11 (6) ◽  
pp. 14
Author(s):  
Mohammad Akter Hossan ◽  
Mohammad Joynal Abedin

The objective of this study is to find factors of stock return by testing validity of Carhart model in Dhaka Stock Exchange (DSE) of Bangladesh. For this purpose, this study uses monthly excess return of portfolios, size, book-to-market value, market return, and price momentum data of 109 sample firms to calculate return factors such as market risk premium, size premium (SMB), value premium (HML), and momentum effect (UMD) for the sample period of 2005 to 2014. Then a total of ten portfolios, six based on size and book-to-market value and four based on size and price momentum, are constructed in this study. Excess return of each of these portfolios are calculated and regressed on the above four factors. Results of this study reveal that in DSE, market risk premium is positively and significantly related with the excess return of all portfolios; Size premium is found positively and significantly related with the return of small size portfolios; Value premium is found negatively and significantly related with the returns of all portfolios except one big portfolio (B/H); momentum effect is found positively and significantly related to the excess return of up (U), big (B), and small (S) size portfolios. It is also evident from R2 value, F statistic, and robustness test of this study that four-factor model is valid and it can predict portfolio returns accurately when there is no abnormality such as market crash occurs in DSE.


2019 ◽  
Vol 2 (1) ◽  
pp. 50-60
Author(s):  
Niko Fediyanto ◽  
Sriyono Sriyono ◽  
Alshaf Febriangga ◽  
Novita Velasari

Investors always have high hopes for stock returns, but that is sometimes beyond expectations so investors must be careful in buying shares. The purpose of this study is to provide information to investors about what factors influence stock returns, with this notification, investor expectations of stock returns are met. The population used in the study is a manufacturing company listed on the IDX. The population technique used was purposive sampling. The analysis begins with the classic assumption test and the estimated panel data model, and continues with the t-test and F-test as well as the determination test. The results obtained are to meet the expectations of investors on stock returns is to increase the market value added ratio and return on assets ratio


2019 ◽  
Vol 5 (2) ◽  
pp. 239
Author(s):  
Willy Poltak Silitonga ◽  
Rizky Alika Ramadhani ◽  
Ridho Nugroho

<p><em>This study is to analyze the effect of economic value added, market value added, total assets turn over and price earning ratio to stock returns. The multiple linear regression analysis used to identify the effect of independent variables on the dependent variable. The sample was obtained from the consumer goods sector listed on the Indonesia Stock Exchange. The data covers three years from 2015 to 2017. The results of this study indicate total asset turnover (TATO) and price earnings ratio (PER) have a significant effect on stock return whereas the other variable economics value added and market value added is insignificant on stock return.</em></p>


MODUS ◽  
2016 ◽  
Vol 26 (2) ◽  
pp. 93
Author(s):  
Irene Adrayani

This study aims to get empirical evidence about the infuence of IT spending on corporate value by testing the efect of IT spending on corporate value by using Tobin’s Q. Te higher the stock price, the higher the company value as well as investors’ assessment. The market price of the company’s stocks refects investors’ assessment of the overall equity held. Of the stock price refects investor can provide an assessment of a company. Tobin’s Q is the ratio of the market value of the company’s assets as measured by the market value of the outstanding stocks and debt (enterprise value) to the replacement cost of the assets of the company. The sampling method is based on purposive sampling method with the purpose to obtain a sample that meets the criteria. Tis study used a sample taken from a telecommunications company listed on the Stock Exchange throughout Southeast Asia during the period of 2009-2011. The hypothesis in this study was tested using simple regression. Based on data analysis, the result that the variable IT spending does not afect the company value.Keywords: accounting information system, Tobin’s Q, IT spending, capital expenditure, company performance


2015 ◽  
Vol 5 (2) ◽  
pp. 50
Author(s):  
Mohammad Herli ◽  
Hafidhah ,

This study aimed to examine the effect of the Cash Conversion Cycle and Working Capital Turnover on Return on Assets At the Consumer Goods Industry Listed in Indonesia Stock Exchange (IDX). The method used in this research is the quantitative approach. Results showed variable cash conversion cycle (CCC) and working capital turnover (WCT) simultaneously have a significant effect on profitability (Return on Total Assets). Variabel cash conversion cycle (CCC) partially not have a significant impact on profitability (Return on Total Assets) but variable working capital turnover (WCT) partially have a significant impact on profitability (Return on Total Assets) consumer goods industry issuers listed on the Indonesia Stock Exchange during the period 2010-2014. Keyword : Cash Conversion Cycle, Working Capital Turnover, Return on Assets


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