Quantitative Analysis and Sentiment Analysis for Stock Price Forecast: The Case of Colombo Stock Exchange

Author(s):  
M. B. D. Pavithya ◽  
G. S. D. Perera ◽  
S. L. Munasinghe ◽  
S. N. Karunarathna
2019 ◽  
Vol 7 (02) ◽  
pp. 51
Author(s):  
Adri Wihananto

Trading frequency can be said as the implementation from trader of commerce. This case based on positive or negative trader reaction given by trader information.  Stock trading in BEI always fluctuate with price of volume value and frequency particularly. Frequency itself shows the company  involved or not. In trading frequency, if the indicator frequency it self shown the higher point, it means better. In spite of the most important thing is how the fluctuation or value conversion itself. On the frequencies we also could see which stocks is interested by the investor. When trading frequency high, it  may be create sense of interest from investors.The aim of this research, in order to know how far the effect of trading frequency (X) with stock value (Y) using cover stock value. The information used is begin 2008 with sample from twelve property and real estate companies. According to the research can be conclude from twelve companies in Indonesia Stock Exchange in 2008, 75 % of trading frequency samples doesn’t have signification degree between trading frequency and stock value. This case can be explained count on smaller than t tableEvaluation of this research is the trading measuring frequency at property sector and real estate not influence to stock priceKeywords : Trading Frequency, Stock Price 


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


2018 ◽  
Vol 9 (2) ◽  
pp. 1-14
Author(s):  
Haryani Chandra ◽  
Hamfri Djajadikerta

Go public companies have main purpose to increase firm value consistently. Increased firm value can reflect the increase in the prosperity of shareholders. The purpose of this research is to determine whether intellectual capital, profitability, and leverage have an influence on firm value. This research is expected to help companies to determine the focus on managing the factors those have an influence towards firm value and help investors and potential investors to make investment decisions. This research is conducted on firms listed in property, real estate, and building construction sector in Indonesia Stock Exchange during 2010 until 2015. Samples are selected by simple random sampling method. The research method used is the regression analysis. Intellectual capital is measured by value added intellectual coefficient (VAIC), profitability is measured by return on assets (ROA), leverage is measured by debt- to-equity ratio (DER), and firm value is measured by the year-end closing stock price. The results showed that intellectual capital, profitability, and leverage have partially a significant positive influence on firm value. In addition, intellectual capital, profitability, and leverage have significant influence simultaneously on firm value. Keywords: firm value, intellectual capital, leverage, profitability


2016 ◽  
Vol 8 (1) ◽  
pp. 53-74
Author(s):  
Maria Jeanne ◽  
Chermian Eforis

The objective of this research is to obtain empirical evidence about the effect of underwriter reputation, company age, and the percentage of share’s offering to public toward underpricing. Underpricing is a phenomenon in which the current stock price initial public offering (IPO) was lower than the closing price of shares in the secondary market during the first day. Sample in this research was selected by using purposive sampling method and the secondary data used in this research was analyzed by using multiple regression method. The samples in this research were 72 companies conducting initial public offering (IPO) at the Indonesian Stock Exchange in the period January 2010 - December 2014; perform initial offering of shares; suffered underpricing; has a complete data set forth in the company's prospectus, IDX monthly statistics, financial statement and stock price site (e-bursa); and use Rupiah currency. Results of this research were (1) underwriter reputation significantly effect on underpricing; (2) company age do not effect on underpricing; and (3) the percentage of share’s offering to public do not effect on undepricing. Keywords: company age, the percentage of share’s offering to public, underpricing, underwriter reputation.


2017 ◽  
Vol 9 (2) ◽  
pp. 37-43
Author(s):  
Sri Dewi Anggadini ◽  
Eva Tarsiah

 This research have purpose to examine empirically the effect on Net Profit Margin and Liquidity (Current Ratio) to Stock Price on Sub Sector Pharmaceutical Company Listed on IndonesiaStock Exchange Period 2012-2016. The problems that occur in Sub Sector Pharmaceutical Companyis the decrease of Stock Price but not followed by the increase of Net Profit Margin. Then the companyhas descreased Stock Price but not followed by the increase of Liquidity (Current Ratio). The research uses descriptive verification analysis method with population 10 companies from Sub Sector Pharmaceutical Companies. Sample selected by using purposive sampling, so thesample obtained to 8 companies with 40 financial reports from Sub Sector Pharmaceutical CompanyListed in Indonesia Stock Exchange Period 2012-2016. Technical of data analysis is multiple linearregression with SPSS 16.0 version as the application.  The result of the analysis showed that Net Profit Margin has positive and significant effect to Stock Price, and Liquidity which measured by Current Ratio has Positive dan significant effect toStock Price.


Equity ◽  
2015 ◽  
Vol 18 (1) ◽  
pp. 39
Author(s):  
Taufan Septiawan ◽  
Erna Hernawati

This study was conducted to examine the effect of Earnings Per Share, Net Profit Margin, Debt to Equity Ratio toward Stock Price on manufacturing companies in Indonesia Stock Exchange during the years 2009-2012. The population consists of 36 companies and are used as a sample of 17  ompanies. Sampling technique using purposive sampling method. Data were tested by using multiple regression analysis and hypothesis test with 5% level of confidence. The research results that the variables Earnings Per Share (EPS) and Net Profit Margin (NPM) gives significantly positive effect on Stock Price. The other variables Debt to Equity Ratio is not significantly to Stock Price. We suggest for investors in Indonesia Stock Exchange that paying attention other factors that regards Stock Price because with those information they can make the best decision for their investments


2017 ◽  
Vol 13 (1) ◽  
pp. 46-62
Author(s):  
Aries Veronica

The purpose of this study was to determine financial performance to stock price ofminning industries at Indonesian Stock Exchange . This research is field research withdata collection techniques using documentation that the sample size is as much as 33emitten. To test the effect of the financial performance to stock price used multipleregression analysis techniques and to test research hypotheses, F test and t test.From the results of calculations using SPSS for Windows version 17, showed that: thevalue of R Square (R2) illustrates that the Stock price (Y), can be explained by thefinancial performance amounted to 65.6%, while the rest 34.4%, can be explained byother factors, which are not included in this study. F Hypothesis test results, obtainedvalue of sig. (98,701)>(0.05), this means that there is influence of the current ratio, totalasset turnover , return on investment, and total debt to total asset ratio together againststock price. While the results of hypothesis testing t as follows: 1) sig. (0.000)< (0.05),which means that there is effect current ratio to stock price; 2) sig.(0.004) < (0.05),which means that there is effect debt to equity ratio to stock price; 3) sig.(0.846) >(0.05), which means that there is no effect total asset turnover to stock price; 4)sig.(0.000) (0.05), which means that there is no effect return on investment to stock price,and 5) sig.(0.700)>(0.05), which means that there is no effect total debt to total assetratio to stock price


ProBank ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 17-21
Author(s):  
Heriyanta Budi Utama ◽  
Florianus Dimas Gunurdya Putra Wardana

The purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015. The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression. The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share priceThe purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015.The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression.The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share price


Author(s):  
Vijay Kumar Dwivedi ◽  
Manoj Madhava Gore

Background: Stock price prediction is a challenging task. The social, economic, political, and various other factors cause frequent abrupt changes in the stock price. This article proposes a historical data-based ensemble system to predict the closing stock price with higher accuracy and consistency over the existing stock price prediction systems. Objective: The primary objective of this article is to predict the closing price of a stock for the next trading in more accurate and consistent manner over the existing methods employed for the stock price prediction. Method: The proposed system combines various machine learning-based prediction models employing least absolute shrinkage and selection operator (LASSO) regression regularization technique to enhance the accuracy of stock price prediction system as compared to any one of the base prediction models. Results: The analysis of results for all the eleven stocks (listed under Information Technology sector on the Bombay Stock Exchange, India) reveals that the proposed system performs best (on all defined metrics of the proposed system) for training datasets and test datasets comprising of all the stocks considered in the proposed system. Conclusion: The proposed ensemble model consistently predicts stock price with a high degree of accuracy over the existing methods used for the prediction.


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