Stock Price Variations Research Articles

Pengaruh EPS, ROE Dan DER terhadap Harga Saham Properti dan Real Estate yang Terdaftar di JII70

The property sector is one of the main sources for realizing investment, with the main sources coming from the industrial and housing sectors.the purpose of this study was to determine whether the variables EPS, ROE, and DER partially and simultaneosly affect the stock price variable. The study was conducted in property and real estate companies registered with JII70 for the period 2018-2020. The samples used were saturated samples taken from ten property and real estate. This research uses a type of quantitative approach. The data used is secondary data in the form of panel data obtained from the annual financial statements and closing stock prices of each company. The analysis method used is a regression analysis date panel eviews. The results showed partially that both EPS and DER variables had a positive effect on stock prices. While partially one variable that has no effect and negative to the stock price is ROE. Simultaneously the three variables EPS, ROE, dan DER have an effect on stock prices. 
 Keywords: EPS; ROE; DER; stock price

Data Driven Perspective on Stock Price - Macroeconomic Variables: Indonesia Economy 2016-2020

<p align="center"><strong>Abstract</strong></p>The use of a theory-driven perspective is very common, especially in economics research, and even becomes an inevitable approach. Problems arise when data, as a form of reality, does not synergize with theory. The resulting conclusion is very likely to be different from the theoretical statement. One method that refers to data-driven is the Vector Auto-Regressive (VAR) model, which puts all the variables involved in a position as endogenous variables. This study seeks to identify a statistically more accurate relationship in the relationship between variables, stock prices, consumer price index, Jakarta Inter-Bank Over rate, exchange rate, and Net Balance Trade. Observations were made from January 2016 to December 2020. This study found evidence that there is a recursive relationship between stock price variables and macroeconomic variables. The VAR model identifies the Net Balance Trade variable as an endogenous variable in 3 types of sectoral stocks and only manufacturing sector stocks that resemble it. These results have two theoretical consequences: first, setting stock prices without differentiating sectors carries the risk of generalization errors. Second, setting stock prices as the endogenous variable means assuming that the market is perfect, and efficient and market participants have rational behavior.

Pengaruh Return On Asset dan Earning Per Share terhadap Harga Saham pada Industri Kosmetik Dan Keperluan Rumah Tangga yang Terdaftar di Bursa Efek Indonesia (Bei) Periode 2016-2020

The purpose of this study is to find out and analyze the effect of return on asset (ROA) and earnings per share (EPS) simultaneously on the stock price in the Cosmetics Industry and Household Needs Listed on the Indonesia Stock Exchange (IDX) and To find out and analyze the effect of return on asset (ROA) and earnings per share (EPS) partially on the stock price on the Cosmetics Industry and Household Needs Listed on the Indonesia Stock Exchange (IDX). This research includes a type of correlational research, using the research method used is the survey method. The technique of retrieving the data with a questionnaire, the score obtained from the questionnaire is then analyzed with descriptive analysis poured in the form of percentages. The results of calculations using the spss program by comparing fhitung with ftabel with a significant level of α = 0.05. It can be known that the fhi calculate of 14,096 by comparing the ftabel α = 0.05 with the degree of free numerator (the number of X) = 4 and the degree of denominator (N-K-1) = 28, obtained ftabel of 2.74. The calculation is greater than that of ftabel (14,096 > 2.74) then Ho is rejected and Ha is accepted, meaning there is a significant influence between independent variables (x) together against dependent variables (y). Which means that simultaneously independent variables ROA and EPS affect the dependent variables of stock prices. Based on the results of the t (partial) test on the regression model, the comparison between thitung and ttabel shows thitung as large as (1,069) while the ttabel is 1,996. From the results it can be seen that thitung > ttabel that is (1,069) < 1,996 it can be concluded that Ho received Ha rejected means that partially the VARIABLE ROA positively affects the Stock Price The comparison between thitung and ttabel which shows thitung of 2,696 while>> the ttabel of 1,996. 1996, it can be concluded that Ho received Ha rejected meaning that partially the EPS variable has a positive and significant effect on the variable stock price. Based on the results of the determination coefficient test in the table above, it shows that the value of R Square is 0.511 which means that the amount of the contribution of independent variables namely X1 ROA, X2 EPS, affects variable Y Share Price by (0.511 x 100 = 51.1%), while the rest (100% - 51.1% = 48.9%) is influenced by other variables outside of this study.

Pengaruh Debt to Equity Ratio, Return on Equity, Net Profit Margin dan Earning Per Share Terhadap Harga Saham Pada Perusahaan Subsektor Konstruksi Bangunan yang Terdaftar di Bursa Efek Indonesia Periode 2016-2020

The purpose of this research is to prove whether there is an influence between stock prices and DER, ROE, NPM and EPS. The population is 17 companies and 40 samples which are multiplied by five years with this type of quantitative descriptive research, purposive sampling is carried out on the IDX financial statements for 2016-2020. Multiple linear regression analysis is used in testing the data with the researcher testing the classical assumptions first. The coefficient of determination is 0.349, which means that 34.9% of the stock price variable is explained by the DER, ROE, NPM and EPS variables and the remaining 65.1% is explained by other variables not studied. The results of the research show that in the partial test DER, ROE and NPM have no effect, but EPS has an influence on stock prices. And simultaneously DER, ROE, NPM and EPS affect stock prices.

PENGARUH CURRENT RATIO, DEBT TO EQUITY RATIO DAN RETURN ON ASSETS TERHADAP HARGA SAHAM SEKTOR KIMIA YANG TERDAFTAR DI BEI

The orientation of this research is to be able to carry out analysis and also testing for the Debt to Equity Ratio, Current Ratio, and Return On Assets variables on the chemical sector stock price variables listed on the Indonesia Stock Exchange. For this study, the technique of collecting research data was found to be successful using purposive sampling and the number of samples was 17 companies from 73 populations. Chemical sector companies listed on the Indonesia Stock Exchange (IDX). For this research, the analytical model used is multiple linear regression. The results of this test test that the value of the R-square is worth 0.070, this indicates that there is a relationship involving business risk, capital structure, firm size, and firm value of 7.0%. The value of Adjusted R Square is 0.035. These results explain that the variables of firm size, capital structure, and also business risk can predict or clarify the firm value variable of 3.5%. For the test results, that the value of Fcount is higher than Ftable (4.036 > 2.73), with this, the independent variables of DER, CR and ROA simultaneously have an effect on stocks for chemical sector companies. Meanwhile, for the partial test, the Return on Assets is 0.38 which means that the independent variable has an influence on the Stock Price variable for Chemical Sector companies.
 Keywords: Current Ratio, Debt to Equity Ratio, Return On Assets and Stock Price.

Stocks of year 2020: prediction of high variations in stock prices using LSTM

Stocks of year 2020: prediction of high variations in stock prices using LSTM

Trade Sentiment and the Stock Market: New Evidence Based on Big Data Textual Analysis of Chinese Media

Trade tensions between China and US have played an important role in swinging global stock markets but effects are difficult to quantify. We develop a novel trade sentiment index (TSI) based on textual analysis and machine learning applied on a big data pool that assesses the positive or negative tone of the Chinese media coverage, and evaluates its capacity to explain the behaviour of 60 global equity markets. We find the TSI to contribute around 10% of model capacity to explain the stock price variability from January 2018 to June 2019 in countries that are more exposed to the China-US value chain. Most of the contribution is given by the tone extracted from social media (9%), while that obtained from traditional media explains only a modest part of stock price variability (1%). No equity market benefits from the China-US trade war, and Asian markets tend to be more negatively affected. In particular, we find that sectors most affected by tariffs such as information technology related ones are particularly sensitive to the tone in trade tension.

Management geographical proximity and stock price crash risk

PurposeThis study provides empirical support for the cultural economics model between executive team and firm performance and offers important implications for policy selection and appointment of managers in China.Design/methodology/approachFrom the perspective of relationship embeddedness, the authors explore the impact of management geographical proximity (GP) on stock price crash risk in China. Using archival data from China's unique dataset about birthplace culture, the authors find that management GP experiences a large increase in corporate stock price crash risk for the period 2009–2018.FindingsThe impact of management GP on stock price crash risk is more pronounced when the company is located in areas with weaker formal legal environment and stronger Confucian culture. Furthermore, the impact has a significant links with firm characteristics such as information transparency, over-investment and tax aggressiveness.Originality/valueFirst, the research extends the literature on the empirical determinants of stock price crash risk. These studies focus on formal institution, not on informal institution, such as relational culture. Second, the research provides evidence for economic consequences on relational governance from executive birthplace culture to explore the economic consequences of geographical relational governance but takes stock price crash risk to present executives' behavior strategies and market reaction via exploring asymmetrical variation of market stock price. Finally, the paper provides reference to corporate governance arrangement and executive appointment.

The impact of internet financial reporting on Egyptian company’s performance

Purpose This study aims to examine the impact of internet financial reporting (IFR) on companies’ performances as measured by three performance indicators, namely, stock price, stock returns and company value. Design/methodology/approach A sample of 139 non-financial companies listed in the Egyptian stock exchange is used and classified as 108 IFR companies and 31 non-IFR companies. To test the research hypotheses, an independent t-test and multiple linear regression analyses are used. Findings The results indicate that there are no significant differences between IFR companies and non-IFR companies for both stock price and stock return variables. Conversely, there is a significant difference between IFR companies and non-IFR companies in the company value variable. These results imply rejecting hypotheses H1 and H4 and accepting the hypothesis of H7 that the presence of IFR has an impact on company value. The multiple regression analyses results indicate a significant relation between the scope of IFR and stock price. Likewise, between the degree of IFR and company value. Both degree and scope of IFR have an insignificant impact on stock return, which infer that applying different performance measures can reveal different conclusions. Research limitations/implications This research is a snapshot of IFR limited to a cross-sectional study and could not study the longitudinal data of internet reporting. Second, Marston and Polei (2004) contend that “weights contain an element of subjectivity, which cannot be completely avoided in the composition of such a score” (p. 297) and a variation in the disclosure index can lead to a modification in the results (Kaur and Kaur, 2020). This research applied a weighted index to measure the degree of IFR, which may affect the results and may change it if other indexes are applied. Moreover, the scores of the degree and scope of information disclosure are assumed to be similar every year due to the lack of information regarding the variations in content and presentation in the companies’ websites. Finally, the absence of a complete data set and stock prices for some companies in the sample. Practical implications To enhance the quantity and quality of IFR could be implemented through setting regulations and standards to govern IFR practices companies in Egypt. Moreover, the trade-off of the requirement of the Egyptian Financial Supervisory Authority for Egyptian companies make information available online and the secrecy culture profound in the Egyptian society (Ahmed et al., 2015) involve assigning a regulatory body for monitoring the IFR practices to ensure disseminating timely and accurate information that helps investors make rational decisions. Social implications The researchers recommend the suggestion to have an external assurance conducted by external auditors to enhance the accuracy and credibility of the IFR information. Originality/value Based on prior literature, no studies in Egypt compare between IFR companies and non-IFR companies concerning stock price and company value as measured by Tobin’s Q. Moreover, few research studies in Egypt covered the degree of IFR disclosure whilst not addressing the impact on the stock price. In addition, no prior study examined the scope of IFR disclosure in Egypt. Therefore, the research findings attribute to literature.

Analisis Faktor yang Mempengaruhi Rating Sukuk Syariah di Indonesia

Abstract: Sukuk is a form of investment and a means for companies to seek capital. Sukuk's issuance growth-increasing indicates that many investors are interested in buying Sukuk, so that many companies are also interested in issuing Sukuk. The more Sukuk issuances, the more important the rating of the Sukuk for investors and companies will issue Sukuk. The research aims to analyze the factors that affect the rating of Sukuk, such as corporate governance, financial ratios, market value, secure and types of Sukuk. The next goal is that the results of this study are expected to be a consideration for investors in determining investment in Sukuk and for companies to be considered in issuing Sukuk. This study uses secondary data obtained from the annual reports of corporate companies listed on the Indonesia Stock Exchange and rated by PT PEFINDO. The analysis technique in this study uses multinomial logistic regression with the SPSS 25. tool. The result of this study indicates that the CEO-Chairman Duality variable has a significant value of 0.037, the number of commissioners has a significant value of 0.001, commissioner independence is significant 0.035. Profitability has a significant value of 0.008, and leverage has a significant value of 0.044, liquidity has a significant value of 0.000. Market value using the stock price variable has a significant value of 0.006. The Secure variable has a significant value of 0.012. The type of Sukuk has a significant value of 0.000, so all variables in this study are considered to affect the Sukuk rating.

Pengaruh Economic Value Added dan return On Equity (ROE) Terhadap Harga Saham pada perusahaan Investasi yang Terdaftar Di BEI Tahun 2016-2019.

This study aims to examine the effect of Economic Value Added (EVA) and Return On Equity (ROE) on Stock Prices in Investment Companies Listed on the IDX in 2016-2019.” This research is an explanatory quantitative research. Sources of secondary data obtained through literature studies, documentation, books, magazines, newspapers, written archives related to the object to be studied. The results showed that 60.9% of the stock price variable was influenced by the EVA variable and the ROE variable. Simultaneous test results explain that EVA and ROE variables have an effect on stock prices. The results of the partial test explain that the EVA variable has no effect on stock prices, while the ROE variable has an influence on stock prices.

Pengaruh ROA, CR, dan DER terhadap harga saham perusahaan manufaktur subsektor food and beverage yang terdaftar di BEI Tahun 2015-2019

This study was made to know the effect of return on assets, current ratio, and debt to equity ratio on stock prices of manufacturing companies in the food and beverage sub-sector listed on the Indonesia Stock Exchange in the 2015-2019 period. This study uses a quantitative approach with a descriptive statistical analysis type. The data used is sourced from financial data on the Indonesia Stock Exchange and has been selected based on predetermined criteria. The population in this study amounted to 31 companies, using a purposive sample. The samples obtained were ten companies in the last five years. The results of this study indicate that partially the current ratio and debt to equity ratio do not have a positive and significant effect on stock prices. Partly, the return on assets has a positive and significant impact on stock prices. Return on assets, current ratio, and debt to equity ratio as independent variables simultaneously have a substantial effect on the variable stock price of manufacturing companies.

Pengaruh Harga Saham dan Bagi Hasil terhadap Simpanan Deposito Mudharabah di Bank Panin Dubai Syariah

The study aims to determine the effect of stock prices and profit-sharing, which is likely to affect the mudaraba deposits of Islamic banking and to determine the characteristics of variables that have a dominant influence. The method that is uses an explanatory descriptive method. The data analysis technique uses multiple regression analysis. The results showed that stock price variables have not significant effect on mudaraba deposits, and profit-sharing variables have a significant effect on mudaraba deposits. Profit-sharing ls a variable that has a dominant influence and has a strong relationship with Islamic bank mudaraba time deposits from 2014-2017. The findings of this study contribute to Islamic banks to improve the profit-sharing scheme so that Islamic banks are able to dominate the market share of fundraising in the form of mudaraba deposits by providing competitive profit sharing offers.

Towards Achieving Sustainability in Financial Market: The Impact of Covid-19, Oil Price, Stock Price on Exchange Rate Volatility in Indonesia

The spread of the Corona Virus Disease pandemic (COVID-19) is so fast that it poses a health threat and an economic crisis. Since the beginning of March, COVID-19 has spread in Indonesia. Some economic elements, such as the exchange rate, share prices, and so on, have been quite turbulent. This study analyzes the effect of Corona Virus Disease variable (COVID-19), as well as national stock price variables, world oil price variables and exchange rates of countries in ASEAN on IDR / USD exchange rate volatility in the long term and short term. The approach used is a quantitative analysis with the ARDL method and using the ARCH / GARCH method to calculate exchange rate volatility. Estimation results in the selected model show that national stock prices, COVID-19, and world oil prices have a significant effect. Both have a negative correlation with exchange rate volatility in the long run. In the short term, only the national stock price variable does not affect the exchange rate volatility. In contrast, the COVID-19 variable and world oil prices have a significant effect, and each is positively and negatively related to exchange rate volatility. Estimation results show that the exchange rates of countries in ASEAN affected exchange rate volatility during the COVID-19 Pandemic.

Pengaruh Suku Bunga, PER, dan PBV Terhadap Harga Saham Perusahaan Sub Sektor Konstruksi Bangunan

The study aims to determine how much influence of interest rate, PER, and PBV have on stock prices. The method used is descriptive verification with a quantitative approaches. Data were analyzed using multiple linear regression analysis. Based on the results of a descriptive analysis of the highest interest rate occurred in 2014-2015 while the lowest interest rate in the 2017. There are 5 building construction sub-sector companies that have PER industry average, while 4 other companies have PER above industry average. Furthermore, there are 4 companies that have the value of PBV below the industry average and 5 companies have PBV above the industry average. Then, there are 5 companies that have a share price above the industry average and 4 companies have the stock price below the industry average. Based on the result of verificative analysis that interest rate variable has no signification effect on stock price, while PER variable has no signification effect on stock price and PBV variable has signification effect on stock price. R square test result show that the interest rate, PER, and PBV has effect of 29,3% against the stock price so that remaining 71,7% is affected by other variables that are not researched.
 Keywords: Interest Rate; PER; PBV; Stock Price.

Macroeconomic Variables and Capital Market Performance: Evidence in Asia Pacific Region

The capital market is a very important part of the national economy. The capital market, which has an increasing trend, identifies that economic conditions in the country are also improving. The capital market conditions in Asia Pacific countries during the last few years experienced an unstable growth trend. In fact, some capital markets have experienced slowing growth. The samples in this study are BSESN, N225, SSEC, HIS, AORD, JKSE and STI during the period 2010 to 2017. The variable used is the performance of the capital market as the dependent variable. Inflation, interest rates, exchange rates, and foreign direct investment as independent variables that represent the state's financial stability and stock price variables in the United States as independent variables representing the world's largest capital market. The data analysis used was panel data analysis consisting of Pooled Least Square, Fixed Effect, and Random Effect, while the selection of the best model used the chow test, lagrange multiplier (LM) test, and hausman test. The results of the analysis show that inflation, interest rates, and foreign direct investment have a negative and significant impact on the performance of capital markets in Asia Pacific countries. Exchange rates have a negative and insignificant impact on the performance of the capital market. The share price at DJIA has a positive and insignificant impact on the performance of capital markets in Asia Pacific countries. Based on these findings, the most appropriate steps that can be taken to improve the performance of the capital market are to maintain conditions of inflation, interest rates, and foreign direct investment so that they are stable and not too high.

RETRACTED: Extreme learning machine for stock price prediction

Stock market performance prediction has always been a hit research topic and is attractive due to its strong potential to generate financial profit. Being able to predict future stock price in a relatively accurate way forms a significant task of stock market analysis. Different mechanisms from fundamental analysis to statistical modeling have been deployed to study stock market performance and various factors from fundamental factors, technical factors to market sentiments are also incorporated in the stock price prediction task. However, due to the chaotic stock market performance, which is close to random walk, and the difficulty in discerning influential factors, predicting stock price faces a lot of challenges. In recent years, fast development in fields such as machine learning has offered new ways to look at this task. In this paper, we employ Extreme Learning Machine (ELM) algorithm, a recent modification of traditional feedforward neural network with single hidden layer, whose learning speed is greatly improved based on solid mathematical background and capability to circumvent problems such as local minimum is also enhanced, to construct an ELM combination model to study stock market performance and predict stock price. A comparison between the predicted output and the real data is carried out to test the feasibility of applying ELM model to stock market analysis. The result indicates that ELM model is desirable for predicting stock price variation trend while some inaccuracy exists in the prediction of peak values, which may require further model modification. Overall, by applying the machine learning model ELM to predict stock price and generating desirable outcome, this paper both contributes to offering a new way to investigate stock market performance and enlarging the field deployment of ELM model as well.

The Effects of Profitability and Solvability on Stock Prices: Empirical Evidence from Indonesia

This study aims to analyze the effect of the ratio of profitability and solvability (leverage) on the variable stock price, which is mediated (intervening) by the variable dividend policy. Using the financial reports of manufacturing companies in the consumer goods sector, we take profitability data (ROA, ROE, GPM, and NPM), solvability data (DAR, LTDER, and DER), dividend policy (DPR), and stock price (closing price) from 24 companies, which were selected as samples, from 2011 to 2018. Data was analyzed using the Structural Equation Modeling (SEM) method. The results show that profitability, solvability, and dividend policy affect changes in stock prices, respectively. On the other hand, profitability and solvability do not affect dividend policy. The indirect relationship (intervening) is assessed using a single test, resulting in a dividend policy that can intervene in the relationship between profitability and stock prices but cannot mediate the relationship between solvability and stock prices. The implication of this research is to provide knowledge to investors about the importance of knowing the company's financial performance. Companies with good financial performance will easily develop because there are sufficient funds for company operations. By analyzing financial ratios, investors can get signals to decide whether to invest in the company they want.

Analisis Fundamental dan Teknikal terhadap Harga Saham pada Perusahaan Utilitas dan Transportasi

The purpose of this research is to known if fundamental and technical analysis could affect the price of stock. Furthermore each of analysis have several factor to determine the stock price, as for fundamental analysis we will use current ratio, DER, and ROA while for the technical analysis we will use IHSG and trading volume. From the population of 69 company we pick 18 sample that suit the analysis, for the regression it will use multiply 5 because of the independent variabel. According to the partial research, there are only two factor that have significant impact to the price of stock, it is DER And ROA, as for the rest of the factor it don’t really affect the price. Simultaneously the five variabel shown the effect to the stock price according to result of adjused r square amount of 29.1% . From the variation of stock price according to the variabel such as CR, DER , ROA. IHSG and trading volume, while the rest 70.9% affected by other factor such as company asset turnover, price earning ratio and price book value.
 Keywords: Current Ratio; Debt to Equity Ratio; IDX Composite; Return On Asset; Stock Price; Trading Volume.

Impact of corporate performance on stock price predictions in the UAE markets: Neuro‐fuzzy model

SummaryPredicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro‐fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.