The Effect of Economic Value Added and Financial Performance on Stock Return

Tikasari, Nopi; Surjandari, Dwi Asih

doi:10.36348/sjbms.2020.v05i06.005

Cited by 10 publications

(10 citation statements)

References 0 publications

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“…This result is contrary to signaling theory or high NPM does not necessarily indicate good news from stock returns. The results of this study contrast with Öztürk & Karabulut (2018), Yuliaratih & Artini (2018), Simorangkir (2019), Tikasari &Surjandari (2020), andHasanudin et al (2020). However, this study supports the findings of Ristyawan ( 2019) that NPM gives no significant effect on stock return.…”

Section: Resultscontrasting

confidence: 96%

“…When the company can earn a profit from high sales, it makes investors feel confident in the expected stock return. Öztürk & Karabulut (2018), Yuliaratih & Artini (2018), Simorangkir (2019) and Tikasari & Surjandari (2020) prove that it is found a positive and also significant influence of NPM and stock returns. This indicates that when the NPM is higher so is the stock return.…”

Section: Introductionmentioning

confidence: 89%

“…Many previous studies have discussed predictors of stock returns including DAR, DER, ROA, ROE, and NPM, for example, Andriani & Winedar (2020), Ghale (2015), Tumonggor et al (2017), Jais et al (2012), Mahardika & Artini (2017), Öztürk & Karabulut (2018), Tikasari & Surjandari (2020), Ristyawan (2019), Rohpika & Fhitri (2020), Simorangkir (2019), Hasanudin et al (2020), andYuliaratih &Artini (2018). They tested the influence of some variables including DAR, DER, ROA, ROE, and NPM on stock returns and showed inconsistent results.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Financial Performance in Predicting Stock Return: Study on Non-Financial Companies Listed on IDX

Rizka

2022

E-Jurnal Akuntansi

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Accounting and financial information are usually given to investors to help predicting the stock returns because the data has the value and historical. This study aims to examine how the ability of financial performance that represent leverage consisting of debt to asset ratio (DAR), debt to equity ratio (DER), and profitability including return on asset (ROA), return on equity (ROE), and net profit margin (NPM) in predicting stock returns. The research applies a final sample of 163 companies of non-financial sector registered in IDX in 2015-2019. This research applies analysis of multiple linear regression. The study results prove that DAR, ROE, NPM have no significant influence toward the stock returns. DER and ROA give such a significant and also negative influence on stock returns. These results mean that investors can consider DER and ROA in predicting stock returns as signals from accounting and financial data. Keyword: Debt to Asset Ratio, Debt to Equity Ratio; Return on Asset; Return on Equity; Net Profit Margin; Stock Return

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Section: Resultscontrasting

confidence: 96%

Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

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Financial Performance in Predicting Stock Return: Study on Non-Financial Companies Listed on IDX

Rizka

2022

E-Jurnal Akuntansi

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“…(5) Economic increase assessment method [17]. The traditional profit calculation tends to analyse the cost of enterprise debt, which usually has limitations, because financing of equity will also produce costs.…”

Section: Enterprise Performance Evaluation Theorymentioning

confidence: 99%

Engineering Financial Performance Evaluation of Wireless Network Based on Intelligent Neural Network Model

Song

2021

Wireless Communications and Mobile Computing

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Under the global economy, enterprises in the financial industry are facing plenty of opportunities and severe challenges. Aimed at providing a reference enterprise performance evaluation system for related enterprises, the proposed model helps enterprises to learn and sort out their own performance evaluation system according to this structure. A prediction model of BP neural network (BPNN) based on the wireless network is studied as the performance data prediction algorithm. Firstly, the feasibility of this algorithm is analysed through prediction training. Secondly, the proposed neural network algorithm is compared with the traditional algorithm for data prediction. It turns out that this neural network prediction algorithm based on wireless communication is not only universal to the prediction data but also superior to the traditional prediction algorithm in both error gap and relative average error compared with other traditional algorithms. On this basis, the particle swarm optimization (PSO) algorithm is also used to evaluate the performance indicators of three enterprises, and accurate numerical values are obtained to express the corresponding results. Therefore, it is concluded that the subalgorithm can be applied to the enterprise performance evaluation team in the financial industry.

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“…b) To analyze how smoothly the company fulfills its obligations, investors can use the current ratio (CR), the higher the CR owned by the company will be considered good by investors because the company is able to pay off its obligations. (Tikasari and Surjandari, 2020). Ideally, a high CR value will help increase the company's stock price, because investors feel that the company has had a good performance.…”

Section: Financial Performance Against Sharia Stock Returnsmentioning

confidence: 99%

The Influence Of Financial Performance, Macroeconomic Indicators And Systemic Risk On Manufacturing Sector Sharia Share Return

Siswanto¹,

Pramono²,

Ismal³

2021

TIFBR

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The purpose of this study is to examine and analyze the effect of financial performance as measured using Return On Assets (ROA), Current Ratio (CR) and Earning Per Share (EPS), macroeconomic indicators using the BI rate, exchange rate and inflation as well as adding systematic risk as the intervening variable on sharia stock returns in the manufacturing sector on the Indonesian Sharia Stock Index (ISSI). The research sample was 51 companies with a range of observations from 2016 to 2020, using the Structural Equation Modeling (SEM) method and IBM AMOS (Analysis of Structural Moment) V.22 software for testing the available data. The findings of the direct test results show that financial performance and systematic risk have an effect on Islamic stock returns, while macroeconomic indicators have no effect. The test results through the intervening variable found that financial performance had an effect, but macroeconomic indicators still had no effect on Islamic stock returns through systematic risk. Activities in the consumer goods industry and basic industry which have always been the main needs are the reason why issuers in the manufacturing sector at ISSI are not affected by changes in macroeconomic indicators.

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The Effect of Economic Value Added and Financial Performance on Stock Return

Cited by 10 publications

References 0 publications

Financial Performance in Predicting Stock Return: Study on Non-Financial Companies Listed on IDX

Financial Performance in Predicting Stock Return: Study on Non-Financial Companies Listed on IDX

Engineering Financial Performance Evaluation of Wireless Network Based on Intelligent Neural Network Model

The Influence Of Financial Performance, Macroeconomic Indicators And Systemic Risk On Manufacturing Sector Sharia Share Return

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