2018
DOI: 10.18488/journal.1007/2018.8.7/1007.7.247.258
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Prediction of stock performance by using logistic regression model: evidence from Pakistan Stock Exchange (PSX)

Abstract: The key purpose behind the study is to use logistic regression model to predict stock performance. For this purpose different financial and accounting ratios were used as independent variables and stock performance (either "good" or "poor") as dependent variable. The result shows that financial and accounting ratios significantly predict the stock performance. Our study consists on the sample period of annual data from 2011-2015 and comprises of 109 listed non-financial firms of Pakistan's Stock Exchange (PSX)… Show more

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Cited by 23 publications
(18 citation statements)
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“…To measure the effect, the researchers use diverse approaches such as logistic regression model (Imran, 2018), Ordinary Least Square (OLS) method (Kamar, 2017), regression analysis of panel data, t test, F test, and classical assumption of normality, multicollinearity, heteroscedasticity and autocorrelation tests (Asmirantho & Somantri, 2017), boostraping in the Structural Equation Modelling-Partial Least Square (SEM-PLS) (Bustani et al, 2021), Common Effect, Fixed Effect, and Random Effect. Chow test model, Hausman test, and Lagrange Multiplier test (Herawati & Angger, 2018;Siregar & Doriawaty, 2021), Weighted Least Square (WLS) (Musallam, 2018), VAR methodology (Meriç et al, 2017), a multiple regression analysis (Husna & Satria, 2019;and Karamoy & Tulung, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…To measure the effect, the researchers use diverse approaches such as logistic regression model (Imran, 2018), Ordinary Least Square (OLS) method (Kamar, 2017), regression analysis of panel data, t test, F test, and classical assumption of normality, multicollinearity, heteroscedasticity and autocorrelation tests (Asmirantho & Somantri, 2017), boostraping in the Structural Equation Modelling-Partial Least Square (SEM-PLS) (Bustani et al, 2021), Common Effect, Fixed Effect, and Random Effect. Chow test model, Hausman test, and Lagrange Multiplier test (Herawati & Angger, 2018;Siregar & Doriawaty, 2021), Weighted Least Square (WLS) (Musallam, 2018), VAR methodology (Meriç et al, 2017), a multiple regression analysis (Husna & Satria, 2019;and Karamoy & Tulung, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…(Arbidane & Volkova, n.d.;Bustani et al, 2021;Husain et al, 2020;Husna & Satria, 2019;Öztürk, 2017). Referring to signaling theory, many researchers confirm that the debt to equity ratio (DER), return on assets (ROA), return on equity (ROE), earnings per share (EPS) and other accounting measurements affect the investment decisions reflected on the stock price (Imran, 2018;Siregar & Doriawaty, 2021;Utami & Darmawan, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Regression is a predictive approach that models the relationship between a dependent variable and independent variables [130]. Different regression approaches have been used in previous studies: simple linear regression [131][132][133], multiple regression [134,135], decision tree regression [17,136], logistic regression [137], support vector regression (SVR) [56,138], and ensemble regression [41,69,139]. For example, the authors in [140] developed a model that predicts the stock price of a user-specified company a few days ahead.…”
Section: Regression Algorithms (Ra)mentioning
confidence: 99%
“…Understanding the relationship between them might help the investors, commercial banks, fund managers take crucial decisions in stock market [1]. In [2] the author predicts the performance of the stock using logistic regression. [4] The research paper displays a positive correlation between DJIA values and individual behavioural.…”
Section: Related Work Donementioning
confidence: 99%