scholarly journals The relationship between dividend policy and bank growth

2021 ◽  
Vol 16 (4) ◽  
pp. 218-228
Author(s):  
Mohammad Fawzi Shubita
Keyword(s):  
Regression Models ◽  
Random Effect ◽  
Financial Statements ◽  
Earnings Per Share ◽  
Operating Cash Flow ◽  
Accrual Basis ◽  
Retained Earnings ◽  
The Relationship ◽  
Cash Basis ◽  
Random Effect Models

The purpose of this study is to investigate the association between bank growth and the retained earnings amount for Jordanian banks between 2010 and 2020. The method to be used is regression models. Bank growth is measured using the change in total assets; income retention is measured by subtracting dividends from earnings per share and by deducting dividend per share from the operating cash flow on the accrual basis and cash basis. In addition, another specification will be used to the association between the growth of a bank’s total assets and income retention using the percentage change in the growth of a bank’s total assets and income retention on the accrual and cash basis. The findings of pooled OLS regression models and random effect models show that there is no relationship between income retention using the accrual basis and the bank total assets growth (Adj-R2 was –005). There is a significant relationship between income retention using the cash basis and the bank growth in total assets (Adj-R2 was 14%). There is no significant association between change in income retention using the cash basis and the bank growth in total assets, and bank size affects the relationship between income retention and bank growth in total assets. Users of financial statements need to be aware of the association between the several variables used in this study to make sound decisions.

Correlation between Methylenetetrahydrofolate Reductase Polymorphisms and Hepatocellular Carcinoma: A Meta-Analysis

2019 ◽  
Vol 74 (3) ◽  
pp. 251-256 ◽  
Author(s):  
Hailong Su ◽  
Guo Zhang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Gene Polymorphisms ◽  
Methylenetetrahydrofolate Reductase ◽  
Meta Analysis ◽  
Random Effect ◽  
Recessive Model ◽  
Mthfr Gene ◽  
Systematic Research ◽  
The Relationship ◽  
Random Effect Models

Background: The correlation between methylenetetrahydrofolate reductase (MTHFR) gene polymorphisms and hepatocellular carcinoma (HCC) remains controversial. Objectives: We performed this study to better assess the relationship between MTHFR gene polymorphisms and the likelihood of HCC. Methods: A systematic research of PubMed, Medline, and Embase was performed to retrieve relevant articles. ORs and 95% CIs were calculated. Results: A total of 15 studies with 8,378 participants were analyzed. In overall analyses, a significant association with the likelihood of HCC was detected for the rs1801131 polymorphism with fixed-effect models (FEMs) in recessive comparison (p = 0.002, OR 0.62, 95% CI 0.43–0.82). However, no positive results were detected for the rs1801133 polymorphism in any comparison. Further subgroup analyses revealed that the rs1801131 polymorphism was significantly associated with the likelihood of HCC in Asians with both FEMs (recessive model: p < 0.0001, OR 0.42, 95% CI 0.29–0.62; allele model: p = 0.004, OR 1.20, 95% CI 1.06–1.35) and random-effect models (recessive model: p = 0.002, OR 0.47, 95% CI 0.29–0.75). Nevertheless, we failed to detect any significant correlation between the rs1801133 polymorphism and HCC. Conclusions: Our findings indicated that the rs1801131 polymorphism may serve as a genetic biomarker of HCC in Asians.

Abstract 005: A Comparison of Methods for Identifying Hospital Performance Outliers in Cardiac Surgery

2017 ◽  
Vol 10 (suppl_3) ◽  
Author(s):  
Xiaoting Wu ◽  
Min Zhang ◽  
Richard L Prager ◽  
Donald S Likosky
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Random Effect ◽  
Hospital Performance ◽  
Fixed Effect ◽  
Logistic Regression Models ◽  
Indirect Standardization ◽  
Statistical Approaches ◽  
Random Effect Models ◽  
Direct Standardization

Introduction: A number of statistical approaches have been advocated and implemented to estimate adjusted hospital outcomes for public reporting or reimbursement. Nonetheless, the ability of these methods to identify hospital performance outliers in support of quality improvement has not yet been fully investigated. Methods: We leveraged data from patients undergoing coronary artery bypass grafting surgery between 2012-2015 at 33 hospitals participating in a statewide quality collaborative. We applied 5 different statistical approaches (1: indirect standardization with standard logistic regression models, 2: indirect standardization with fixed effect models, 3: indirect standardization with random effect models, 4: direct standardization with fixed effect models, 5: direct standardization with random effect models) to estimate hospital post-operative pneumonia rates adjusting for patients’ risk. Unlike the standard logistic regression models, both fixed effect and random effect models accounted for hospital effect. We applied each method to each year, and subsequently compared methods in their ability to identify hospital performance outliers. Results: Pneumonia rates ranged from 0 % to 24 %. The standard logistic regression models for 2013-2015 had c-statistics of 0.73-0.75, fixed effect models had c-statistics of 0.81-0.83, and random effect models had c-statistics of 0.80-0.83. Each method differed in its ability to identify performance outliers (Figure 1). In direct standardization, random effect models stabilized the hospital rates by moving the estimated rates toward the average rate, fixed effect models produced larger standard errors of hospital effect (particularly for hospitals with low case volumes). In indirect standardization, the three models showed high agreement on their derived observed: expected ratio (intraclass correlation =0.95). Indirect standardization with fixed effect or random effect models, identified similar hospital performance outliers in each year. Conclusion: The five statistical approaches varied in their ability to identify performance outliers. Given its higher sensitivity to outlier hospitals, indirect standardization methods with fixed or random effect models, may be best suited to support quality improvement activities.

Can Auditors Mitigate Information Asymmetry in M&As? An Empirical Analysis of the Method of Payment in Belgian Transactions

2013 ◽  
Vol 33 (1) ◽  
pp. 57-91 ◽  
Author(s):  
Mathieu Luypaert ◽  
Tom Van Caneghem
Keyword(s):  
Information Asymmetry ◽  
Private Information ◽  
Regression Models ◽  
Financial Statements ◽  
Financial Statement ◽  
Firm Characteristics ◽  
Target Level ◽  
Financial Statement Audit ◽  
Method Of Payment ◽  
The Relationship

SUMMARY In this paper, we empirically examine the relationship between the external financial statement audit and the method of payment across a sample of Belgian mergers and acquisitions between listed and private firms over the period 1997–2009. We investigate whether a Big N audit (at the target level) reduces the need for a contingent payment resulting from information asymmetry about the target's value. In addition, we analyze whether a Big N audit (at the bidder level) limits incentives for bidders to exploit private information about their own value. Using multivariate ordered probit and binary regression models, we determine that contingent payments are less common when the target is audited by a Big N auditor after controlling for several other deal and firm characteristics. Furthermore, we find that the incentive to use stock payments in periods of stock market overvaluation is lower for acquirers with a Big N auditor. Finally, target shareholders are more likely to accept a contingent offer if the acquirer's financial statements are certified by a Big N auditor. JEL Classifications: G34; M4.

Abstract 718: The Association of Erectile Dysfunction with Carotid Intima Media Thickness and Endothelial Dysfunction: A Meta-Analysis

2015 ◽  
Vol 35 (suppl_1) ◽  
Author(s):  
Bryan D Vo ◽  
Ehimen Aneni ◽  
Ebenezer Oni ◽  
Wazim Maziak ◽  
Theodore Feldman ◽  
...  
Keyword(s):  
Erectile Dysfunction ◽  
Meta Analysis ◽  
Random Effect ◽  
Intima Media Thickness ◽  
Carotid Intima Media Thickness ◽  
Individual Participant Data ◽  
Media Thickness ◽  
Individual Participant ◽  
The Relationship ◽  
Random Effect Models

Introduction: A recent meta-analysis showed that erectile dysfunction (ED) was associated with elevated cardiovascular disease (CVD) mortality. However, findings from studies examining the relationship between ED and sub-clinical CVD have been conflicting. This study summarizes the current evidence related to the association of ED and vascular disease as measured by flow mediated dilation (FMD) of the endothelium and carotid intima media thickness (CIMT). Methods: We searched multiple internet databases for published literature on studies assessing the association of ED and FMD, and CIMT between 1964 and 2014. A total of 11 studies met the inclusion criteria for examining the association between ED and FMD, while 7 studies met criteria for assessing the association with CIMT. Fixed-effect and random-effect models were used to assess and compare the standardized mean difference (SMD) of FMD and CIMT between persons with and without ED. Results: From a total of 795 individual participant data (590 with and 205 without ED), persons with ED had a 0.66mm (0.49, 0.83) increase in CIMT by fixed effects model or 0.67mm (0.44, 0.90) by random effects model compared to those without ED. Similarly, from 1055 individual participant data (536 with and 419 without ED), ED was associated with a significant reduction in FMD by both fixed effect (-1.10% (95% CI: -2.10, -0.95)) and random effect models (-1.53% (95% CI: -2.10, -0.95)). There was significant heterogeneity among studies assessing the relationship between ED and FMD (I2 = 93.2%, p<0.001) but not among those comparing CIMT among persons with ED (I2 = 43.5% p=0.09). Conclusion: This study confirms that ED is associated with both worsening endothelial function and increased CIMT. Thus, worsening vascular function may be a pathogenic mechanism for increased CVD morbidity and mortality in persons with ED. A diagnosis of ED should prompt a thorough CV work-up and aggressive preventive management.

Bank Governance, Risk and Bank Insolvency: Evidence from Tunisian Banks

2017 ◽  
Vol 7 (2) ◽  
pp. 451
Author(s):  
Nesrine Djebali ◽  
Khemais Zaghdoudi
Keyword(s):  
Panel Data Analysis ◽  
Random Effect ◽  
Banking System ◽  
Bank Risk ◽  
Return On Assets ◽  
Bank Governance ◽  
Econometric Approach ◽  
Governance Risk ◽  
The Relationship ◽  
Random Effect Models

The aim of this paper is twofold. Firstly, it investigates the effect of bank governance on bank risk measured by the standard deviation of the return on assets (SDROA). Secondly, it tests the relationship between bank governance mechanisms and bank insolvency proxied by the Zscore (ROA). To achieve this goal, we used a sample of 11 Tunisian banks observed during the period 2006-2015. These 11 banks are considered as the most dynamic banks in the Tunisian banking system. The econometric approach used in this study is based on panel data analysis especially fixed and random effect models. Empirical results indicate that the presence of Supervisory Committee and monitoring of risks (COR), the executive compensation (REMB) and the board size (BDSIZE) increases significantly Tunisian bank risk and insolvency. However, the presence of independent directors (INDD) and the proportion of institutional investors decrease bank risk and bank insolvency. With regard to the effect on macroeconomic condition, only inflation rate exerts a significant effect. However, this effect is negative when the dependent variable is SDROA and positive for Z-score. The effect of GDPG is not significant for both bank risk and bank stability. 

scholarly journals Evaluation Study: Does The Sharia Supervisory Board Have A Direct Effect on Profitability?

2020 ◽  
Vol 11 (1) ◽  
pp. 55-69
Author(s):  
Hasan Mukhibad ◽  
Indah Anisykurlillah
Keyword(s):  
Direct Effect ◽  
Commercial Banks ◽  
Random Effect ◽  
Supervisory Board ◽  
Evaluation Study ◽  
Complex Relationship ◽  
Bank Profitability ◽  
The Relationship ◽  
Random Effect Models ◽  
Observation Period

Previous studies have indicated a complex relationship between the total Sharia Supervisory Board (SSB) members and profitability. Therefore, this study suspects that financing products and bank fundraising mediate the relationship between SSB and ROA. SSB can provide consultation and supervision on the implementation of bank products. Data were obtained from 12 Islamic commercial banks in Indonesia with a 10-year observation period (2009-2018). Data were analyzed using fixed and random effect models and path analysis. The results showed that the total SSB members and their expertise did not have a direct effect on ROA. However, it has an effect on financing and none on Investment Account Holders (IAH) funds. The results also showed that financing proved to be a mediating variable on the effect between the total and expertise of SSB members towards ROA. The IAH fund is the mediating variable on the effect between the total SSB members towards ROA, with no proven relationship. Therefore, it can be concluded that SSB has an indirect effect on ROA by strengthening the financing and bank fundraising quality. Consultation and supervision carried out by SSB on the implementation of IAH financing and fundraising, has proved to have an impact on improving bank profitability

scholarly journals Meta-Analysis of miRNA Variants Associated with Susceptibility to Autoimmune Disease

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Jun Zhang ◽  
Handan Tan ◽  
Qingfeng Cao ◽  
Guannan Su ◽  
Peizeng Yang
Keyword(s):  
Autoimmune Disease ◽  
Fixed Effects ◽  
Risk Allele ◽  
Meta Analysis ◽  
Random Effect ◽  
Significant Risk ◽  
Population Based ◽  
The Relationship ◽  
Random Effect Models ◽  
Allele Model

Purpose. Various studies have shown an association between miRNA polymorphisms and susceptibility to autoimmune disease (AD); however, the results are inconclusive. To evaluate whether miRNA polymorphisms account for a significant risk of AD, a total of 87 articles, including 39431 patients and 56708 controls, were identified to estimate their association with 12 AD subtypes. Methods. Several electronic databases were searched to analyze population-based studies on the relationship between miRNA variants and AD risk. Fixed effects or random effect models were used in the meta-analysis for the risk assessment. Results. In our meta-analysis, miR-146a rs2910164/rs57095329 conferred a marginally elevated risk for AD (allele model, OR = 1.08 , 95% CI: 1.01-1.15, P = 0.019 ; allele model, OR = 1.09 , 95 CI: 1.05-1.15, P < 0.001 , respectively). Furthermore, miR-196a2 rs11614913 was also associated with AD risk (allele model, OR = 0.92 , 95% CI: 0.88-0.97, P = 0.001 ) as well as miR-499 rs3746444 (allele model, OR = 1.16 , 95% CI: 1.03-1.29, P = 0.011 ). In addition, associations were observed between miR-149 rs2292832/miR-27a rs895819 and AD susceptibility in the overall population (allele model, OR = 1.15 , 95% CI: 1.06-1.24, P < 0.001 ; allele model, OR = 1.11 , 95% CI:1.01-1.22, P = 0.043 , respectively). Conclusions. Evidence from our systematic review suggests that miR-146a, miR-196a2, miR-499, miR-149, and miR-27a polymorphisms are associated with susceptibility to AD.

scholarly journals Corporate Payout Policy and Market Capitalization: Evidence from Pakistan

2012 ◽  
Vol 4 (6) ◽  
pp. 331-343
Author(s):  
Mian Sajid Nazir ◽  
Muhammad Musarrat Nawaz .
Keyword(s):  
Interest Rates ◽  
Random Effect ◽  
Payout Policy ◽  
Dividend Yield ◽  
Strong Negative Correlation ◽  
Market Capitalization ◽  
Earnings Per Share ◽  
Size Growth ◽  
The Relationship ◽  
Positive Significant Correlation

Present study examines the relationship between corporate payout policy and market capitalization by studying payout ratio and dividend yield as measures of payout policy and controlling other variables of size, growth, EPS, Leverage, GDP growth, and Interest rates. Different statistical techniques of correlation, regression, fixed effect and random effect are applied on pooled and panel data to find out the relationship between corporate payout policy and market capitalization. The results show that measures of corporate payout policy, dividend yield and payout ratio has strong negative correlation with market capitalization. Control variables of size and leverage have positive significant correlation with market capitalization while higher earnings per share are leading it negatively and these relationships are statistically significant at various levels of significance. Overall results suggested that the corporate payout policy has significant impact on market capitalization in Pakistan and this notion is consistent with the earlier studies.

scholarly journals KEY PREDICTORS OF INTERNAL SUPERVISION OF FINANCIAL STATEMENTS

2018 ◽  
pp. 029
Author(s):  
Sunčica Milutinović ◽  
Ivana Medved ◽  
Dragomir Dimitrijević
Keyword(s):  
Regression Models ◽  
Financial Statements ◽  
Direct Impact ◽  
External Stakeholders ◽  
The Republic ◽  
The Relationship ◽  
Internal Supervision

Investors and other external stakeholders have more confidence in the reliability and quality of financial statements if they have information that entities continuously carry out preventive and comprehensive internal supervision of financial statements. The research was carried out with the aim of identifying factors that have a direct impact on the internal supervision of financial statements. As the key predictors of the internal supervision of financial statements in the Republic of Serbia, the category of entity, the internal supervision of the compliance of financial statements with the regulations, and the internal supervision of the preparation of financial statements have been identified. Two regression models are also defined that best describe the relationship between the observed phenomena.

Bidirectional Relationship between Firm Performance and Dividend Payout Policy: A Study of Chemical Sector in Emerging Economies in Pakistan

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
Nisar Ahmad Bazmi ◽  
Sh.Khurram Abid ◽  
Samia Maqbool
Keyword(s):  
Business Performance ◽  
Random Effect ◽  
Payout Policy ◽  
Dividend Payout ◽  
Bidirectional Relationship ◽  
Equity Ratio ◽  
Company Growth ◽  
Relationship Of ◽  
The Relationship ◽  
Random Effect Models

The study explains the relationship of dividend payout policy on the business performance of companies that exist in Chemical of Pakistan. 100 companies are selected from Chemical sector. Relationship of dividend payout policy and business performance was controlled with four variables based on relevant theories. These variables include size of company, growth of company, leverage (debt to equity ratio) and corporate governance index. Panel data is collected from 2012-2017 (six years) and then analyzed with unit root, descriptive statistics, correlation analysis, OLS regression, Lagrange multiplier, Huasman test, Fixed effect and Random effect models. Following key findings for each research objective were obtained by applying the adopted research method on the data through the adopted method of analyses: The results showed that the no sign of a relationship between their dividend payout policy and profitability and so there is no controlling factor effective due to the absence of any relationship. Thus, the hypotheses were rejected.

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