Financial misconduct in Indian banks: what matters and what doesn’t?

2020 ◽  
Vol 21 (2) ◽  
pp. 57-76
Author(s):  
Saibal Ghosh
Keyword(s):  
Fixed Effects ◽  
Extended Period ◽  
Content Type ◽  
Factors Affecting ◽  
Private Banks ◽  
Bank Behavior ◽  
Financial Misconduct ◽  
Indian Banks ◽  
Public Banks ◽  
Fixed Effects Regression

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.

Funding for start-ups in India: what shakes it?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saibal Ghosh
Keyword(s):  
Fixed Effects ◽  
Equity Financing ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Indian Context ◽  
Key Factor ◽  
Salutary Effect ◽  
Fixed Effects Regression ◽  
Start Ups

Purpose Using a novel monthly data set, this study aims to examine the factors affecting the funding of Indian start-ups. Design/methodology/approach Given the panel structure of the data, the fixed effects regression technique has been used. Findings The findings reveal that years of operation is a key factor. Amongst others, angel investors and equity financing are the key drivers of startup financing. Government policy does not appear to have gained adequate traction, although the improvement in the business reform action by state governments has begun to exert a salutary effect. Practical implications From a policy standpoint, the study provides insights into what policies and practices can be exploited to streamline the funding bottlenecks affecting startups in the Indian context. Originality/value Notwithstanding being a country with a significant presence in the startup space, there are admittedly limited studies, which examine this issue for India. Viewed from this standpoint to the best of the knowledge, the analysis is one of the early studies to shed light on the factors driving the funding of startups in the Indian context.

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
Keyword(s):  
Fixed Effects ◽  
Banking Sector ◽  
Stock Exchange ◽  
Capital Adequacy ◽  
The Other ◽  
Data Set ◽  
Content Type ◽  
Independent Variables ◽  
Private Banks ◽  
Public Banks

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.

Board demographic diversity, firm performance and strategic change

2014 ◽  
Vol 37 (12) ◽  
pp. 1110-1136 ◽  
Author(s):  
Daniel Kipkirong Tarus ◽  
Federico Aime
Keyword(s):  
Firm Performance ◽  
Fixed Effects ◽  
Strategic Change ◽  
Secondary Data ◽  
Developed Countries ◽  
Outcome Variable ◽  
Demographic Diversity ◽  
Content Type ◽  
Fixed Effects Regression ◽  
High Level

Purpose – The purpose of this study is to examine the effect of boards’ demographic diversity on firms’ strategic change and the interaction effect of firm performance. Design/methodology/approach – This paper used secondary data derived from publicly listed firms in Kenya during 2002-2010 and analyzed the data using fixed effects regression model to test the effect of board demographic and strategic change, while moderated regression analysis was used to test the moderating effect of firm performance. Findings – The results partially supported board demographic diversity–strategic change hypothesis. In particular, results indicate that age diversity produces less strategic change, while functional diversity is associated with greater levels of strategic change. The moderated regression results do not support our general logic that high firm performance enhances board demographic diversity–strategic change relationship. In effect, the results reveal that at high level of firm performance, board demographic diversity produces less strategic change. Originality/value – Despite few studies that have examined board demographic diversity and firm performance, this paper introduces strategic change as an outcome variable. This paper also explores the moderating role of firm performance in board demographic diversity–strategic change relationship, and finally, the study uses Kenyan dataset which in itself is unique because most governance and strategy research uses data from developed countries.

Determinants, persistence and value implications of liquidity creation: an evidence from Indian banks

2021 ◽  
Vol 15 (2) ◽  
pp. 384-400
Author(s):  
Naina Grover ◽  
Pankaj Sinha
Keyword(s):  
Market Share ◽  
Financial Stability ◽  
Generalized Method Of Moments ◽  
Content Type ◽  
Factors Affecting ◽  
Dynamic Framework ◽  
Lending Rate ◽  
Equity Ratio ◽  
Indian Banks ◽  
The Impact

Purpose The purpose of this paper is to explore the micro and macro factors affecting liquidity creation by scheduled commercial banks (excluding Regional Rural Bank) in India from 2005 to 2018. Design/methodology/approach Two measures of liquidity creation, the broad and narrow measures, are constructed using RBI data available on Indian banks. System generalized method of moments has been applied to explore the factors affecting liquidity creation. Findings This study finds high level of persistence in liquidity creation in banks. Variation in the broad measure is explained by equity ratio, market share, GDP, gross savings and lending rate, whereas the narrow measure is explained by equity ratio, market share, size and lending rate. The Global Financial Crisis had a negative effect on liquidity creation as per both the measures, and the impact was more severe for the broad measure as compared to the narrow measure. Research limitations/implications This study finds a positive correlation between bank value and liquidity creation which suggests that the investors favourably evaluate banks that create more liquidity. This study is confined to India only. Practical implications There is a negative influence of capital on liquidity created by banks, which implies a trade-off that exists between financial stability and liquidity creation. Basel III norms impose higher capital and liquidity standards which will have negative implications for liquidity creation. Originality/value To the best of authors’ knowledge, this is the first study in the Indian context that focusses on factors affecting liquidity creation in a dynamic framework and determines the relationship between liquidity creation and market value of a bank.

Ownership structure and auditor selection

2020 ◽  
Vol 35 (8) ◽  
pp. 1121-1142
Author(s):  
Curtis M. Hall ◽  
Benjamin W. Hoffman ◽  
Zenghui Liu
Keyword(s):  
Ownership Structure ◽  
Banking Industry ◽  
Audit Fees ◽  
High Quality ◽  
Public And Private ◽  
Content Type ◽  
Industry Expert ◽  
Big 4 ◽  
Private Banks ◽  
Public Banks

Purpose This paper aims to investigate the effect that ownership structure (public vs private) has on the demand for high-quality auditors, specifically in the US banking industry. Design/methodology/approach The authors predict that public banks are more likely to hire a high-quality auditor than private banks and pay a higher audit fee premium for that high-quality auditor (due to higher agency costs, more demand for financial information and higher litigation risk). The authors analyze 2008–2014 banking data from the Federal Reserve using probit and OLS regression analysis to examine if there is a higher probability that public banks choose higher quality auditors and pay higher audit fees when they do so. Findings The results show that private banks are less likely to hire Big 4 auditors and industry-expert auditors than public banks. The authors also find that both private and public banks pay higher audit fees for Big 4 and industry-expert auditors, and that public banks pay a higher premium for Big 4 auditors and industry experts than private banks. Research limitations/implications The findings may not be fully generalizable to other types of firms, as banking is a heavily regulated and complex industry. However, inferences from this study may be generalizable to other similar industries such as insurance or health care. Practical implications The results of this paper imply that public and private banks have differing priorities when hiring their financial statement auditor. This may be of interest to investors and auditing regulators. Social implications The findings of this paper underscore the value of hiring an industry-expert auditor in an industry that is highly complex and regulated. This may be of interest to managers and policymakers. Originality/value Due to data restrictions, the emphasis of prior literature on the banking industry has been on public banks. This study is the first to analyze the differences between public and private banks’ demand for audit services.

Is the MD&A of US REITs informative? A textual sentiment study

2020 ◽  
Vol 38 (3) ◽  
pp. 181-201
Author(s):  
Marina Koelbl
Keyword(s):  
Firm Performance ◽  
Real Estate ◽  
Fixed Effects ◽  
Textual Analysis ◽  
Real Estate Industry ◽  
Content Type ◽  
The Real Estate ◽  
Domain Specific ◽  
Panel Fixed Effects ◽  
Fixed Effects Regression

PurposeThis study examines whether language disclosed in the Management Discussion and Analysis (MD&A) of US Real Estate Investment Trusts (REITs) provides signals regarding future firm performance and thus generates a market response.Design/methodology/approachThis research conducts textual analysis on a sample of approximately 6,500 MD&As of US REITs filed by the SEC between 2003 and 2018. Specifically, the Loughran and Mcdonald (2011) financial dictionary, and a custom dictionary for the real estate industry created by Ruscheinsky et al. (2018), are employed to determine the inherent sentiment, that is, the level of pessimistic or optimistic language for each filing. Thereafter, a panel fixed-effects regression enables investigating the relationship between sentiment and future firm performance, as well as the markets’ reaction.FindingsThe empirical results suggest that higher levels of pessimistic (optimistic) language in the MD&A predict lower (higher) future firm performance. Hereby, the use of a domain-specific real estate dictionary, namely that developed by Ruscheinsky et al. (2018) leads to superior results. Corresponding to the notion that the human psyche is affected more strongly by negative than positive news (Rozin and Royzman, 2001), the market responds solely to pessimistic language in the MD&A.Practical implicationsThe results suggest that the market can benefit from textual analysis, as investigating the language in the MD&A reduces information asymmetries between US REIT managers and investors.Originality/valueThis is the first study to analyze exclusively US REITs, whether language in the MD&A is predictive of future firm performance and whether the market responds to textual sentiment.

Does R&D create additional business value through IT?

2017 ◽  
Vol 11 (2) ◽  
pp. 194-208 ◽  
Author(s):  
Yu Wang ◽  
Tie-nan Wang ◽  
Xin Li
Keyword(s):  
Firm Performance ◽  
Fixed Effects ◽  
Business Value ◽  
It Investment ◽  
Content Type ◽  
Chinese Business ◽  
Fixed Effects Regression ◽  
The Impact ◽  
D Investment ◽  
It Payoff

Purpose R&D indicates absorptive capacity, which may affect IT payoff. The purpose of this paper is to examine how R&D investment affects the relation between IT investment and firm performance and under what circumstances R&D intensity is more beneficial to IT returns. Such study has been lacking in R&D research and IT payoff literature. Design/methodology/approach A conceptual model for linking IT investment, R&D investment, environmental dynamism and firm performance was developed and tested by data collected from Chinese listed firms from 2007 to 2013, using fixed effects regression model. Findings The results show positive moderating effects of firm R&D investment and government R&D subsidies on the relation between IT investment and firm performance. Furthermore, the impact of firm R&D investment on IT payoff is stronger for firms in more dynamic environments. The findings suggest that R&D investment creates additional business value through interactions with IT, and complementarities between R&D and IT, as manifested in their interaction effect on firm performance vary across industry sectors. Research limitations/implications This paper indicates the importance of complementarities between R&D and IT, which should prove helpful to researchers and practitioners engaged in Chinese business. Originality/value This paper presents one of the first attempts at examining the moderating effect of R&D investment on the relation between IT investment and firm performance. Especially this study helps to understand under what circumstances R&D investment is more or less likely to be beneficial to IT returns.

Farm-level evidence on risk balancing behavior in the EU-15

2014 ◽  
Vol 74 (1) ◽  
pp. 17-37 ◽  
Author(s):  
Yann de Mey ◽  
Frankwin van Winsen ◽  
Erwin Wauters ◽  
Mark Vancauteren ◽  
Ludwig Lauwers ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Large Scale ◽  
The European Union ◽  
Data Set ◽  
Correlation Relationship ◽  
Content Type ◽  
Farm Level ◽  
Relationship Analysis ◽  
Trade Offs ◽  
Fixed Effects Regression

Purpose – The purpose of this paper is to present empirical evidence of risk balancing behavior by European farmers. More specifically, the authors investigate strategic adjustments in the level of financial risk (FR) in response to changes in the level of business risk (BR). Design/methodology/approach – The authors conducted a correlation relationship analysis and run several linear fixed effects regression models using the European Union (EU)-15 FADN panel data set for the period 1995-2008. Findings – Overall, the paper finds EU evidence of risk balancing. The correlation relationship analysis suggests that just over half of the farm observations are risk balancers whereas the other (smaller) half are not. The coefficient in our fixed effects regression suggests that a 1 percent increase in BR reduces FR by 0.043 percent and has a standard error so low that the existence of non-risk balancers is doubtful. The results reject evidence of strong-form risk balancing – inverse trade-offs between FR and BR keeping total risk (TR) constant – but cannot reject weak-form risk balancing – inverse trade-offs between FR and BR with some observed changes in TR. Furthermore, the extent of risk balancing behavior is found to differ between different European countries and across farm typologies. Practical implications – This study provides European policy makers a first insight into risk balancing behavior of EU farmers. When risk balancing occurs, BR-reducing agricultural policies induce strategic upwards leverage adjustments that unintentionally reestablish or even increase total farm-level risk. Originality/value – Making use of the large and unique FADN database, to the best of the authors knowledge, this study is the first that provides European (EU-15) evidence on risk balancing behavior, is conducted at an unprecedented large scale, and presents the first risk balancing evidence across countries and farming systems.

Determinants of Islamic banks’ profitability: international evidence

2017 ◽  
Vol 10 (3) ◽  
pp. 331-350 ◽  
Author(s):  
Ahmad T. Alharbi
Keyword(s):  
Fixed Effects ◽  
Deposit Insurance ◽  
Islamic Banks ◽  
Content Type ◽  
Operating Income ◽  
Real Gdp ◽  
Time Deposit ◽  
Fixed Effects Regression ◽  
Almost All ◽  
First Time

Purpose The purpose of this paper was to investigate the determinants of Islamic banks’ profitability using longitudinal data from 1992 to 2008 of almost all Islamic banks in the world. Design/methodology/approach An unbalanced panel data fixed-effects regression model was used. Findings The results of the study indicate that capital ratio, other operating income, GDP per capita, bank size, concentration and oil prices affected Islamic banks positively. Insurance schemes, foreign ownership and real GDP growth affected Islamic banks negatively. Research limitations/implications This study did not include data beyond 2008 (the financial crisis), which can be considered a limitation to this study. However, evidence suggests that including data beyond 2008 would not have changed the outcome of the study[1]. Originality/value The paper adds to the literature on the determinants of Islamic banks’ profitability for the reasons mentioned above. In addition, this study used a purified sample of Islamic banks (see the Data section for details). Furthermore, to the author’s knowledge, this is the first time deposit insurance has been included in a study related to Islamic banks’ profitability.

Factors Affecting Internet Transactions: Case of Services Industry

2020 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Credit Card ◽  
Fixed Effects ◽  
Penetration Rate ◽  
Trade Openness ◽  
Digital Technologies ◽  
Factors Affecting ◽  
Online Platforms ◽  
Internet Users ◽  
Per Capita ◽  
Fixed Effects Regression

Internet use has been evolving rapidly with the onset of digital technologies. Among the various public, private and welfare industries, transportation and accommodation are the leading services sectors that shift their transaction methods through online platforms. This paper examines the various factors affecting internet transactions particularly on transportation and accommodation services across selected countries using fixed-effects regression model. The researchers used data for thirty countries in 2011 to 2017. Findings indicate that internet penetration rate, credit card transactions, GDP per capita, percentage of internet users in the population, trade openness, and secured internet servers significantly affect internet transactions on services.

Sign in / Sign up

Export Citation Format

Share Document