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Good earnings quality (EQ) provides reasonable assurance as to the reliability of future cash-flow generation capability of the borrowing firms and thereby mitigates the credit risk of the banks. Against the backdrop of the stressed-assets problem in public-sector banks in India, adversely impacting the public finance system, this paper aims to explore the role of EQ of the borrowers in obtaining bank credit and the ways to mitigate the problem.

Using a sample of listed 3,486 non-financial and non-government firms, the authors apply Jones (1991) model to estimate their EQ. Then, the authors conduct Hausman’s (1970) test and find the existence of a two-way relation between bank finance and EQ. The authors adopt a two-stage least-square regression model to test the nature of the association between the two after controlling for firm and industry-level characteristics.

The empirical results suggest that there exists a two-way negative association between EQ and bank finance implying that the Indian firms tend to report abnormal accruals to enhance tangibility for enjoying higher credit limits and easier access to bank finance. Also, the poor EQ is associated with earnings volatility, adversely impacting the credit quality. The findings are consistent.

The study highlights the role of EQ in mitigating credit risk and addressing adverse selection problems in granting credit by practicing bankers.

The findings of the study enrich the literature on EQ, capital structure, agency theory and public finance in several ways and have significant ethical and policy implications in bank-finance-led economies.

The purpose of this paper is to examine the causal relationship between economic development and financial sector development for 28 countries at different stages of their development. The authors specifically focus on the nature of causality during economic boom and tranquil cycles.

The study uses quarterly time series panels of 17 developed and 11 emerging countries, during 1993Q1-2014Q4 with each having three sub-panels – full sample, a period of the economic uptrend (UP), and period of the economic downtrend. The authors use a univariate analysis for initial screening followed by panel unit root test, panel co-integration and causality test proposed by Toda–Yamamoto to examine the causal relationship.

The principal results suggest that for developed economies, there is a causal flow from financial sector to real sector in line with the “supply-leading” hypothesis, whereas for emerging economies, it is from real sector to financial sector, in line with the “demand-following” hypothesis. This overall relationship is strong for both emerging and developed economies during economic boom or UP cycles, but becomes weak during economic downturns or tranquil periods.

This study is different from previous studies on this issue and contributes to the existing literature in a number of ways. First, the focus of this paper revolves around identification of differential patterns in causal flows between real and financial sectors for different economies, across different economic cycles. Second, to present a robust representation of financial sector, the authors consider both banking sector and stock market parameters as the proxy for financial sector development. Third, the authors address the “stock-flow problem” in the measurement of financial variables a typical criticism of some of the previous studies. Finally, the authors use a rich sample size comprising of about 2,500 quarterly observations for each variable, with about 1,500 observations from developed and 1,000 from emerging economies.

This study estimates the impact of changes in the mutual fund distributor incentive structure on distributor-advised mutual fund flows. The authors employ two recent major policy interventions by the Indian self-regulatory authority and the financial market regulator – one partial ban and another complete ban on upfront commissions – paid to mutual fund distributors on distributor-advised mutual fund flows.

The authors use novel distributor-level data across the 198 largest distributors in India between 2013 and 2020 and a series of pooled panel random-effect generalized least squares models with robust standard errors to explore the effect of changes of distributor commissions on distributor assets-under-management (AUM), gross sales, commissions and changes (%) in the number of investors in alternate investment avenues like portfolio management services (PMS).

Changes in the incentive structure have a significant negative effect on mutual fund flows at an aggregate level and within MF distributor categories. A significant diversion of investor funds toward PMS is noted, which paid higher upfront commissions to distributors during the same period.

The authors posit that these two developments are not mutually independent and that both fall out of the aforementioned policy changes by Securities and Exchange Board of India and Association of Mutual Funds in India. The study findings have implications for all stakeholders in the Indian mutual fund industry and, by extension, for Indian and global alternative investment avenues.

This study is the first to explore the effects of these two major policy interventions by regulators on mutual fund flows in India.

Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

This study aims to identify the business benefit of and factors affecting the use of social customer relationship management (SCRM) in Indian organizations.

Building on theoretical foundations, a conceptual model of factors affecting SCRM in Indian organizations is developed and empirically tested through a survey and corresponding analysis using SPSS and AMOS software.

The study presents empirical evidence that technological competence, environmental characteristics and organizational environment positively impact the actual use of SCRM on Indian organizations. Additionally, leadership support of organizations impacts positively the actual use of SCRM in organizations, while the trust factor insignificantly impacts the latter. The actual use of SCRM in organizations was found to have a positive impact on their business benefits.

The theoretical model is built on the constructs of the technology, environment and organizational framework. It has added new factors, such as leadership support and trust, and thereby identified the business benefits of organizations using SCRM mediating through the organizations’ actual use of SCRM. The proposed model is simple, implementable and has a high explanative power of 81 per cent.

The study provides practitioners with evidence and practicable knowledge regarding the means and impact/benefits of SCRM use in Indian organizations.

The study is one of few empirical studies on the topic and contributes valuable knowledge to extant works through additional factors, theoretical conceptualization and empirical scientific findings of both scholarly and executive worth.