Determiners of enterprise risk management applications in Turkey: An empirical study with logistic regression model on the companies included in ISE (Istanbul Stock Exchange)

2012 ◽  
Vol 7 ◽  
pp. 19-26 ◽  
Author(s):  
Şerife Önder ◽  
Hüseyin Ergin
Keyword(s):  
Risk Management ◽  
Logistic Regression ◽  
Empirical Study ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Stock Exchange ◽  
Enterprise Risk Management ◽  
Enterprise Risk ◽  
Istanbul Stock Exchange

Effect of Enterprise Risk Management on Firm Value: Empirical Evidence from Non-Financial Firms in Pakistan

GIS Business ◽  
1970 ◽  
Vol 13 (2) ◽  
pp. 15-28
Author(s):  
Nouman Nasir
Keyword(s):  
Risk Management ◽  
Firm Value ◽  
Positive Impact ◽  
Stock Exchange ◽  
Enterprise Risk Management ◽  
Least Square ◽  
Return On Equity ◽  
Financial Firms ◽  
Enterprise Risk ◽  
Ordinary Least Square Regression

This research examines the effect of enterprise risk management on firm value in Pakistan. Further, this study empirically examines company characteristics that establish the execution of an enterprise risk management system. Using a sample of final dataset of 83 non-financial firms located in Pakistan. The sample included non-financial firms from the year 1999 to 2015 and so up to seventeen observation years per company. As in context of Pakistan, most of the organizations are already implement an ERM programs and establish specialized ERM departments because the ERM is now a global term and has become increasingly relevant because of the growing difficulty of risk and an additional development of regulatory frame works. For the empirical evidences, data collected from non-financial firms listed at the Pakistan Stock Exchange (PSX). Results of logistic regression shows that Capital Opacity, Profitability, Financial Leverage, Firm Size and Slack have positive impact on the implementation of an ERM system but Industrial diversification, Industry and Return on Equity are negatively related to an ERM engagement. The results of ordinary least square regression finds positive relationship between use of an ERM and firm value.

scholarly journals PENGARUH CORPORATE SOCIAL RESPONSIBILITY DAN CORPORATE GOVERNANCE TERHADAP PENGUNGKAPAN ENTERPRISE RISK MANAGEMENT

2019 ◽  
Vol 4 (2) ◽  
pp. 207
Author(s):  
Rafika Melani ◽  
Idrianita Anis
Keyword(s):  
Risk Management ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Banking Industry ◽  
Stock Exchange ◽  
Secondary Data ◽  
Institutional Ownership ◽  
Enterprise Risk Management ◽  
Enterprise Risk ◽  
Corporate Social

<em>The purpose of this study was to examine the influence of corporate social responsibility disclosure, the effectiveness of the board of commissioners, institutional ownership and implementation of SFAS 60 (revised 2010) on the enterprise risk management disclosure. The data used in this research is secondary data, , obtained the annual report of the banking industry company listed on the Indonesia Stock Exchange. The population of this research is the banking industry companies listed in Indonesia Stock Exchange during the years 2009-2015, amounting to 161 companies. The collection of samples using purposive sampling method by selecting predefined criteria. This study uses multiple regression analysis. The results of this study indicate that not all independent variables showed a significant effect on the dependent variable. CSR disclosure and effectiveness of the board of commissioners has a positive effect on enterprise risk management disclosure. Meanwhile, institutional ownership has no effect on the enterprise risk management disclosure and the application of SFAS 60 (Revised 2010) has no effect on the enterprise risk management disclosure</em>

scholarly journals The Influence of Enterprise Risk Management, Leverage, Firm Size and Profitability on Firm Value in Property and Real Estate Companies Listed on the Indonesian Stock Exchange in 2016-2018

2021 ◽  
Author(s):  
Dihin Septyanto ◽  
Ikhwan Maulid Nugraha
Keyword(s):  
Risk Management ◽  
Firm Size ◽  
Firm Value ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Negative Influence ◽  
Positive Influence ◽  
Enterprise Risk Management ◽  
Enterprise Risk ◽  
Negative Effect

The objective of this study was to analyze the effects of enterprise risk management (ERM) disclosure, leverage, firm size and profitability on firm value, which is proxied by Tobin’s Q. High corporate value can reflect the shareholders’ wealth. This study used the Indonesian Capital Market Directory (ICMD). The sample included 32 companies, chosen with nonprobability purposive sampling. This study used a quantitative approach with descriptive analysis methods and panel data regression to test hypotheses using the Eviews 10 application. ERM disclosure, leverage and profitability had a positive and significant influence on firm value, while firm size had a negative influence on firm value. The implication of this research is that where ERM has a positive influence on firm value, it is good for companies to increase ERM disclosure, because the company will be considered to have managed its risks well. Debt policy variables that are proxied by the Debt to Equity Ratio (DER) and profitability proxied by ROA had a positive effect on firm value. That is, a higher value of DER was followed by an increase in the percentage of Return On Assets (ROA), which increased the firm’s value. However, the company’s size variable which was proxied by Ln Total Assets had a negative effect on the value of the company, which indicated that investors dislike company assets that are too high and that are not offset by high profits. Keywords: enterprise risk management, leverage, firm size, profitability, firm value

scholarly journals PENGARUH DEWAN KOMISARIS, LEVERAGE, DAN STRUKTUR KEPEMILIKAN TERHADAP PENGUNGKAPAN ENTERPRISE RISK MANAGEMENT (ERM)

Equity ◽  
2019 ◽  
Vol 20 (2) ◽  
pp. 5
Author(s):  
Jetmi Ade Cecasmi ◽  
Samin Samin
Keyword(s):  
Risk Management ◽  
Ownership Structure ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Enterprise Risk Management ◽  
Financial Report ◽  
Purposive Sampling ◽  
Analysis Technique ◽  
Enterprise Risk

The purpose of this study was to examine the influence of Board of Commissioner, Leverage, and Ownership Structure on the Enterprise Risk Management disclosure of banking firm listed in Indonesian Stock Exchange for the period from 2013 to 2015. Sampling technique using purposive sampling (purposive sampling method). The sampel used in this study is a banking company that meets the criteriaas set out in this study to obtain 21 banking. The data obtained derived from the annualreport and financial report of the banks publishe. The analysis technique used in this research is multiple linear regression to test the classical assumption first. The result showed that the Board of Commissioner have a significant influence on the Enterprise Risk Management Disclosure. Leverageand Ownership Structure is not significantly effects on Enterprise Risk Management Disclosure.

scholarly journals Trading Volume as a Predictor of Market Movement

2019 ◽  
Vol 8 (2) ◽  
pp. 57-69
Author(s):  
Edson Kambeu
Keyword(s):  
Logistic Regression ◽  
Stock Market ◽  
Regression Model ◽  
Trading Volume ◽  
Logistic Regression Model ◽  
Predictive Analytics ◽  
Stock Exchange ◽  
Stock Market Index ◽  
Trading Volumes ◽  
Popular Language

A logistic regression model is has also become a popular model because of its ability to predict, classify and draw relationships between a dichotomous dependent variable and dependent variables. On the other hand, the R programming language has become a popular language for building and implementing predictive analytics models. In this paper, we apply a logistic regression model in the R environment in order to examine whether daily trading volume at the Botswana Stock Exchange influence daily stock market movement. Specifically, we use a logistic regression model to find the relationship between daily stock movement and the trading volumes experienced in the recent five previous trading days. Our results show that only the trading volume for the third previous day influence current stock market index movement. Overall, trading volumes of the past five days were found not have an impact on today’s stock market movement. The results can be used as a basis for building a predictive model that utilizes trading as a predictor of stock market movement.

scholarly journals The effect of enterprise risk management (ERM) on firm value in manufacturing companies listed on Indonesian Stock Exchange year 2010-2013

2018 ◽  
Vol 3 (2) ◽  
pp. 224-235 ◽  
Author(s):  
Iswajuni Iswajuni ◽  
Arina Manasikana ◽  
Soegeng Soetedjo
Keyword(s):  
Risk Management ◽  
Firm Value ◽  
Stock Exchange ◽  
Enterprise Risk Management ◽  
Managerial Ownership ◽  
Manufacturing Companies ◽  
Content Type ◽  
Significant Negative Effect ◽  
Enterprise Risk ◽  
Negative Effect

Purpose The purpose of this paper is to identify the effect of enterprise risk management (ERM) with firm size, ROA and managerial ownership as control variables on firm value that is proxied by Tobin’s Q. Design/methodology/approach Population of this research was manufacturing companies listed on the Indonesian Stock Exchange (IDX) in 2010–2013. The used method in this research is multiple linear regression-ordinary least square and hypotheses testing using t-test to test the regression coefficients with level of significance of 5 percent. Findings The results showed that ERM, ROA and size of the company have a significant positive effect on the firm value. While the managerial ownership has a significant negative effect on the firm value. Originality/value The results showed that firm value increases as ERM, ROA and size of the company improves. While the managerial ownership has a significant negative effect on the firm value.

An Empirical Study on Identification of False Accounting Information of Listed Companies -Based on the Comparison between Logistic Regression Model and Multiple Eigenvalues Detection Model

2011 ◽  
Vol 268-270 ◽  
pp. 753-758
Author(s):  
Ai Hao Guan
Keyword(s):  
Logistic Regression ◽  
Empirical Study ◽  
Regression Model ◽  
Empirical Analysis ◽  
Logistic Regression Model ◽  
Accounting Information ◽  
Listed Companies ◽  
Detection Model ◽  
Multiple Eigenvalues

In this study, multiple eigenvalues detection model has been put forward and empirical analysis and comparison between logistic regression model and multiple eigenvalues detection model has been conducted in the same sample on the basis of overall data. The results have showed the characteristics of accuracy, stability or extensive adaptability of multiple eigenvalues detection model in detecting false accounting information.

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