scholarly journals Evaluating factors of profitability for Indian banking sector: a panel regression

2018 ◽  
Vol 3 (2) ◽  
pp. 236-254
Author(s):  
Rohit Bansal ◽  
Arun Singh ◽  
Sushil Kumar ◽  
Rajni Gupta

Purpose The purpose of this paper is to quantify several measures to examine the determinants of profitability for the listed Indian banks. The authors include both public sector (PSUs) and private sector’s banks in the study. The authors have taken all the banks that are registered on the Bombay stock exchange (BSE) in the sample. This paper also intends to identify the association between the net profit margin (PM) and return on assets (ROA) with the several other independent variables of the Indian banking sector including private banks and public banks over the past six years starting from April 1, 2012 to March 31, 2017. Therefore, a sample of 39 listed banking companies and total 195 balanced observations are selected for the analysis purpose. Design/methodology/approach The authors have used profitability as a dependent variable represented by net PM, ROA and several financial ratios as independent variables. Financial statement and income statement of all listed banks were obtained from BSE and particular company’s website. Panel data regression has been analyzed with both the descriptive research techniques, i.e., fixed effects and random effects. The authors also verified both panel techniques with Hausman’s specification test, which is a widely used procedure for selecting a panel effect. The authors applied PP – Fisher χ2, PP – Choi Z-statistics and Hadri to testing whether the data set is free from unit root problem and data set is a stationary series. Findings Results imply that interest expended interest earned (IEIE) and credit deposit ratio (CRDR) reduced the profitability of private banks in India. IEIE, CRDR and quick ratio (QR) reduced the profitability of public banks in India, while cash deposit ratio (CDR) and Advances to Loan Funds (ALF) increased the effectiveness of public banks. Under the total banks IEIE, CRDR reduced the profitability, on the other side, CDR, ALF and Total Debt to Owners Fund (TDOF) increased the profitability of total banks in India. Under the dependency of ROA, CRDR and TDOF reduced the return of private banks in India, while CDR, ALF and QR enhanced the profitability of private banks. Originality/value No variables found significant under public banks while taking ROA as a dependent variable. Under the overall banking data, CRDR reduced the profitability. On the other side, capital adequacy ratio and ALF increased the profitability of total banks in India. The findings of this study will support policy creators, financial executives and investors in constructing investment decisions.

2020 ◽  
Vol 5 (1) ◽  
pp. 135-145 ◽  
Author(s):  
Muhammad Asif Khan ◽  
Asima Siddique ◽  
Zahid Sarwar

PurposeThe size of non-performing loans (NPLs) plays a key role in the stability of the banking sector of a country. The factors that explain the NPLs contain very important information for banks. Studies in this regard with respect to developing states such as Pakistan have received little attention. This study aimed to scrutinize the determinants of NPLs observing a case of the banking sector in Pakistan over the period from 2005 to 2017.Design/methodology/approachThe sample consists of the banking sector (i.e., commercial banks) listed in Pakistan Stock Exchange over the period of 2005–2017. The banking factors, including profitability, operating efficiency, capital adequacy and income diversification, were evaluated. The estimations were done by regression modeling using random and fixed effects through STATA software.FindingsResults show that the operating efficiency and profitability indicators have a negative association with NPLs but were statistically significant, while capital adequacy and income diversification have a negative association with NPLs but were statistically insignificant.Research limitations/implicationsThe present study has considered limited banking indicators as determinants of NPLs and was limited to a specific time period from 2005 to 2017.Originality/valueThe study is an attempt to investigate various banking factors that affect the NPLs with respect to developing economies such as Pakistan.


2020 ◽  
Vol 21 (2) ◽  
pp. 57-76
Author(s):  
Saibal Ghosh

Purpose While several facets of financial misconduct have been explored, one aspect which has largely bypassed the attention of researchers is the factors affecting such misconduct behavior in banks. To investigate this in detail, this paper aims to use disaggregated data on Indian banks for an extended period to understand the factors driving such behavior. Design/methodology/approach Given the longitudinal nature of the data, the author uses fixed effects regression methodology which enables us to control for unobserved characteristics that might affect the dependent variable. Findings The analysis indicates that both bank- and board-specific factors are important in driving financial misconduct, although their importance differs across ownership. In particular, while size and capital are relevant for public banks, liquidity is more of a concern for private banks as compared with their public counterparts. In addition, the relevance of bank boards is important only in case of private banks. These results hold after controlling for the structure of the banking industry and the macroeconomic environment. Originality/value To the best of the author’s knowledge, this is one of the earliest studies for India to carefully examine the interface between financial misconduct and bank behavior in a systematic manner.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ratan Ghosh ◽  
Farjana Nur Saima

PurposeThe purpose of this study is to analyze and forecast the financial sustainability and resilience of commercial banks of Bangladesh in response to the negative effects of COVID-19 pandemic.Design/methodology/approachEighteen publicly listed commercial banks of Dhaka Stock Exchange (DSE) have been taken as a sample for this study. To measure the riskiness of banks' credit portfolio, nine industries of DSE have been considered to determine probable loss of revenue arising from the COVID-19 pandemic shock. Moreover, two commonly used multiple-criteria-decision-making (MCDM) tools namely TOPSIS method and HELLWIG method have been used for analyzing the data.FindingsBased on the performance scores under TOPSIS and HELLWIG method, banks are categorized into three groups (six banks each) namely top resilient, moderate resilient and low resilient. It is found that EBL and DBBL are the most resilient banks, and ONEBANK is the worst resilient bank in Bangladesh in managing the COVID-19 pandemic shock.Research limitations/implicationsThis study concludes that banks with low capital adequacy, low liquidity ratio, low performance and higher NPLs are more vulnerable to the shocks caused by the COVID-19 pandemic. The management of commercial banks should emphasize on maintaining higher capital base and reducing default loans.Originality/valueResilience of the Bangladeshi banking sector under any adverse economic event has been examined by only using stress testing approach. This study is empirical evidence where both TOPSIS and HELLWIG MCDM methods have been used to make the result conclusive.


2019 ◽  
Vol 10 (1) ◽  
pp. 50-72
Author(s):  
Fekri Ali Shawtari ◽  
Mohamed Ariff ◽  
Shaikh Hamzah Abdul Razak

PurposeThe purpose of this paper is to examine the determinants of bank margins in the Yemeni banking sector for Islamic and conventional banks. The first objective is to investigate whether there is a significant difference between the margins of conventional and Islamic banks. The second objective is to examine whether efficiency represents an influential factor in determining bank margins for Islamic and conventional banks controlling for other micro and macro variables.Design/methodology/approachUsing a data set of banks in Yemen for the post-liberalisation period from 1996 to 2011, the study utilises panel data with unbalanced observations for 16 banks, of which four are Islamic banks and the remainder conventional banks. Parametric and non-parametric techniques are complemented by dummy variable regression using random effects. Panel fixed effects regression was also undertaken as a robustness check.FindingsThe paper finds that the overall bank margin in Yemen has steadily decreased during the observation period with the exception of the year 2011. The parametric and non-parametric results show that the bank margins are significantly higher for conventional banks than for Islamic banks. The results provide evidence that bank margins are related to neither types of efficiency, but are affected by capitalisation, size, the opportunity cost of the reserve and liquidity, although the impact is shaped differently for Islamic and conventional banks.Practical implicationsThe paper provides a basis for regulators and bankers for assessing the viability of the banking sector and proposes policies to restructure the industry to enhance its performance.Originality/valueThis paper adds value to the literature for the Yemeni banking sector and extends the previous research on the determinants of bank margins by focusing on the impact of efficiency on bank margins. Also, it compares the Islamic banks with different types of conventional banks in Yemen in their margins trend.


Author(s):  
Ngoc Anh Nguyen

The analysis of a data set of observation for Vietnamese banks in period from 2011 - 2015 shows how Capital Adequacy Ratio (CAR) is influenced by selected factors: asset of the bank SIZE, loans in total asset LOA, leverage LEV, net interest margin NIM, loans lost reserve LLR, Cash and Precious Metals in total asset LIQ. Results indicate based on data that NIM, LIQ have significant effect on CAR. On the other hand, SIZE and LEV do not appear to have significant effect on CAR. Variables NIM, LIQ have positive effect on CAR, while variables LLR and LOA are negatively related with CAR.


2019 ◽  
Author(s):  
SUSENO - SUSENO

ANALISIS VARIABEL YANG BERPENGARUH TERHADAP KINERJA PERUSAHAAN DI BURSA EFEK INDONESIAOleh : Suseno STIE SATRIA Purwokerto ABSTRACT The aims of the research are (1) to analyze influence of age, scale, financial leverage, and profitability to performance of firms at The Indonesian Stock Exchange. (2) to determine the most influential variable on the performance of the firms. Hypotheses proposed in this research were: (1) Age, Scales, Financial Leverage, Profitability influences the performance of firms, (2) Age influences the performance of firms, (3) Scales influences the performance of firms, (4) Financial Leverage influences the performance of firms, (5) Profitability influences the performance of firms. Instrument of analysis employed in the research was multiple linear regression with t test and F test.The results of analyses of t test showed that profitability did not influence the performance of the firms. It was indicated by the value of computed t which was smaller than the value of t table. Meanwhile, the t test of age, scale and financial leverage indicated that the value of computed t > t table. It means that these variables (scale and financial leverage) influenced the performance of the firms. The F test showed that the independent variables of age, scale, financial leverage and profitability as a whole significantly influenced the performance of the firms. It was indicated by the calculated F > the value of F table, the value the age computed t which was smaller than the value of -t table..Based on the research results that age and profitability do not influence the performance of the firms, it is suggested that investors should not pay any attention to those variables. On the other hand, they should pay attention to the variables of scale and financial leverage. It is recommended that for further research should include longer periode of the sample.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hajam Abid Bashir ◽  
Manish Bansal ◽  
Dilip Kumar

Purpose This study aims to examine the value relevance of earnings in terms of predicting the value variables such as cash flow, capital investment (CI), dividend and stock return under the Indian institutional settings. Design/methodology/approach The study used panel Granger causality tests to examine causality relationships among variables and panel data regression models to check the statistical associations between earnings and value variables. Findings Based on a data set of 7,280 Bombay Stock Exchange-listed firm-years spanning over ten years from March 2009 to March 2018, the results show higher sensitivity of earnings toward cash flows, CI, divided and stock return and vice-versa. Further, the findings deduced from the empirical results demonstrate that earnings are positively related to value variables. Overall, the results established that earnings are value-relevant and have predictive ability to forecast the value variables that facilitate investors in portfolio valuation. The results are consistent with the predictive view of the value relevance of earnings. Several robustness checks confirm these results. Originality/value This study brings new empirical evidence from a distinct capital market, India, and provides a new facet to the value relevance debate in terms of its prediction view. The study is among earlier attempts that jointly measure the ability of earnings in forecasting different value variables by taking a uniform sample of firms at the same period. Hence, the study provides a comprehensive view of the predictive ability of reported earnings.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syed Mehmood Raza Shah ◽  
Qiang Fu ◽  
Ghulam Abbas ◽  
Muhammad Usman Arshad

PurposeWealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).Design/methodology/approachIn this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.FindingsThis study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.Research limitations/implicationsNon-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.Practical implicationsFrom a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.Originality/valueThis research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abbas Koolivand ◽  
Mahdi Salehi ◽  
Meysam Arabzadeh ◽  
Hassan Ghodrati

Purpose This paper aims to assess the relationship between a knowledge-based economy and fraudulent financial reporting. Design/methodology/approach The study is descriptive-correlation based on published information from enlisted firms on the Tehran Stock Exchange during 2013–2019 with a sample of 178 firms (1,246 observations). The method used for hypothesis testing is linear regression using the panel data. Findings The results show that a knowledge-based economy is associated negatively and significantly with financial reporting. Moreover, robust testing has also examined the hypotheses (including fixed effects, OLS and t + 1) that confirmed the study’s preliminary results. Originality/value As the study was carried out in the emergent financial markets, like Iran, to figure out the relationship between knowledge-based economy and financial reporting, it can provide helpful information for the practitioners in this field.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Safoura Rouhi ◽  
Mohana Usefi Moghadam ◽  
Faezeh Faramarzi

PurposeSuccess in corporate relative performance is one of the factors for the growth and durability of firms. Since the relative performance is a function of managers' decisions and such decisions are under the influence of behavioral and psychological characteristics, this paper aims to assess the managers’ and auditors’ narcissism's effect on the management team's stability relative to corporate performance.Design/methodology/approachThis paper has used the signature magnitude for examining narcissism and the regression model of Jenter and Kanaan (2015) for assessing relative corporate performance. The logistic regression is used to test the model of the management team's stability, and the multivariate regression is used to test the model of relative corporate performance. Research hypotheses were also examined using a sample of 768 listed year-companies on the Tehran Stock Exchange during 2012–2017 and by employing a panel data approach and fixed effects method.FindingsThe obtained results show a negative and significant relationship between managers' and auditors' narcissism and the management team's stability. The relationship between the narcissism of managers and auditors and relative corporate performance is positive and significant. Moreover, managers' narcissism positively and significantly impacts the relationship between auditors' narcissism and team management stability. A negative and significant relationship is evident between auditors’ narcissism and relative corporate performance.Originality/valueThis study's results can identify the effect of psychological components such as narcissism on people's performance by directing and influencing their decisions. Many studies have been conducted on narcissism, but none of them have examined the impact auditors’ and managers' narcissism has on the management team's stability and the corporate relative performance. Therefore, considering the importance of success in the corporate relative performance and benefits of the management team's stability, this study's results can reveal the importance of such features in accounting research. Also, the results of this research can make it important to know more about financial behavioral theory.


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