scholarly journals Presentation of Novel Multiple Regression Model for Accounting Information Quality, Corporate Investment, and Moderating Role of Ownership Structure in Companies

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Mahsa Amiran ◽  
Abdorreza Asadi ◽  
Maryam Oladi
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Ownership Structure ◽  
Information Quality ◽  
Panel Data Analysis ◽  
Accounting Information ◽  
Investment Decisions ◽  
Corporate Investment ◽  
Multiple Regression Model ◽  
Accounting Information Quality

The conflicts of interest between managers and shareholders force managers to make decisions that do not meet the interests of shareholders. One of these decisions is to invest less in the company’s operational activities. Increasing the information quality is one way to prevent that issue, allowing stakeholders to monitor investment decisions. The present study investigates the relation of accounting information quality, corporate investment, and ownership structure for Iranian firms, using panel data analysis from 2009 to 2018. We applied a multiple regression model to test the hypotheses. The results show that the quality of accounting information significantly affects the investment decision for the company’s main operations, so the first hypothesis of the research is confirmed. At the same time, there is no effect of capital structure on accounting information quality and firms’ investment decisions. Thus, the second hypothesis of the research failed to be confirmed.

scholarly journals Accounting Information Quality and Investment Decisions

2021 ◽  
Author(s):  
Nouha Khoufi
Keyword(s):  
Information Asymmetry ◽  
Information Quality ◽  
Stock Exchange ◽  
Emerging Market ◽  
Academic Research ◽  
Accounting Information ◽  
Investment Decisions ◽  
Limited Attention ◽  
Accounting Information Quality

Accounting information quality has been said to play an important role in reducing information asymmetry. Thus, firms with high accounting information quality may enhance more investors’ decisions. This paper aims to empirically examine the association between accounting information quality and investment decisions among firms in Tunisia. The sample of this study consists of 50 firms listed on the Tunis Stock Exchange covering 2012 to 2016. The findings imply that accounting information quality is significantly negatively related to investment inefficiency. The inclusion of control variables and the use of alternative models to measure accounting information quality provide consistent findings. This paper has several important contributions. First, this paper provides new empirical evidence in an emerging market. Although emerging markets make up the vast majority of economic activity around the world, they have received limited attention in academic research. Second, this paper can also help researchers to better understand and realize the governance role of accounting information, and push them to investigate the other role of accounting information deeply and broadly.

Accounting Information Quality, Interbank Competition, and Bank Risk-Taking

2014 ◽  
Vol 90 (3) ◽  
pp. 967-985 ◽  
Author(s):  
Carlos Corona ◽  
Lin Nan ◽  
Gaoqing Zhang
Keyword(s):  
False Alarm ◽  
Risk Taking ◽  
Information Quality ◽  
Accounting Information ◽  
Capital Requirements ◽  
Quality Of Accounting Information ◽  
Accounting Information Quality ◽  
Fierce Competition ◽  
Excessive Risk Taking

ABSTRACT We study the interaction between interbank competition and accounting information quality and their effects on banks' risk-taking behavior. We identify an endogenous false-alarm cost that banks incur when forced to sell assets to meet capital requirements. We find that when the interbank competition is less intense, an improvement in the quality of accounting information encourages banks to take more risk. Keeping the banks' investments in loans constant, the provision of high-quality accounting information reduces the false-alarm cost of assets sales and improves the discriminating efficiency of the capital requirement policy. When considering the banks' endogenous investment decisions, however, this improvement in discriminating efficiency causes excessive risk-taking, because banks respond by competing more aggressively in the deposit market, and the increase in deposit costs motivates banks to take more risk. Our paper shows that improving information quality increases risk-taking with mild competition, but has no effect under fierce competition.

Do globalisation and adoption of IFRS by banks in Africa lead to less earnings management?

2019 ◽  
Vol 17 (2) ◽  
pp. 222-248 ◽  
Author(s):  
Mohammed Amidu ◽  
Haruna Issahaku
Keyword(s):  
Financial Reporting ◽  
Design Methodology ◽  
Information Quality ◽  
Accounting Information ◽  
Financial Statements ◽  
International Standards ◽  
Content Type ◽  
Financial Reporting Standards ◽  
Accounting Information Quality ◽  
National Economies

Purpose This paper aims to analyse the implications of globalisation and the adoption of international standards (International Financial Reporting Standards [IFRS]) for accounting information quality. Design/methodology/approach This paper uses a sample of 329 banks across 29 countries leading up to and beyond the implementation of IFRS to test for related hypotheses. Findings First, banks’ financial statements are prepared on the basis of international standards as national economies are integrated when social norms are diffused. Building on these results, the second test suggests that the relatively high-quality earnings among banks in Africa during the period is attributable to the adoption of and interaction of IFRS with globalisation and the strategy of banks to diversify within and across interest and non-interest income. Originality/value The authors investigate how globalisation and the adoption of IFRS affect accounting information quality.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.

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