Assessing the impact of global financial crisis on the intermediation efficiency of Indian banks in the presence of non-performing loans

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anju Goswami

PurposeBy incorporating the role of nonperforming loans (NPLs), the study aims to assess the impact of global financial crisis (GFC) on the intermediation efficiency of Indian banks for the period of 1998/99 to 2016/17.Design/methodology/approachTo obtain efficiency level of Indian banks, this study applied sequential data envelopment analysis (DEA) based directional distance function (DDF) approach, which performed simultaneous expansion of desirable output and reduction of undesirable output in the bank's loan production structure. Additionally, using fixed effect regression approach in the panel data framework, this study assesses both the phenomenon of σ- and unconditional β-efficiency convergence in public sector banks (PSBs), private banks (PBs), foreign banks (FBs) and overall scheduled commercial banks (SCBs) during the pre-crisis, crisis and post-crisis years in India.FindingsIrrespective of the bank's production model, the evidence suggests that the accounting NPLs as an undesirable output significantly deteriorating the intermediation technical efficiency levels of Indian banks, especially after the crisis years until the last year of the study period. This reflects that Indian banks failed more to achieve their financial intermediation objective in the post-crisis years as compared to the crisis and pre-crisis years. In-depth, statistical evidence of commercial bank ownership groups reveals that public sector banks exhibit a higher level of efficiency in pursuance of traditional loan-based activity followed by private and foreign banks. The study also found the existence of sigma convergence in technical efficiency levels of Indian banks and ownership groups as well.Originality/valueThis study is perhaps the first one, which present the robust evolution of Indian banks intermediation efficiency by taking into account both endogenous (i.e. NPLs as an undesirable output and equity as a quasi-fixed input in the bank production process) crisis and exogenous (i.e. global financial and economic stress) crises. Moreover, none of the existing studies have conducted sub-period wise analysis to show the apparent occurrence of both convergence properties in technical efficiency, adding novelty in the literature.

2018 ◽  
Vol 7 (2) ◽  
pp. 47-53
Author(s):  
Shradha H. Budhedeo

Efficiency and stability of the banking sector is a pre-requisite to economic growth of the nation. The banking industry has undergone phenomenal transformation over the past six decades since independence. Banks have shifted from traditional methods of banking to newer modern systems. This has led to impressive growth of commercial banks in India. In the year 2007, financial crisis loomed over the global economy with severe adverse effects on many western economies. In comparison, India stood poised as the fastest growing emerging market economy in the face of turmoil and pessimism. Although India stood strong, many banks started witnessing a change in their growth path during the post global financial crisis period. The public sector banks witnessed major setbacks with decline in their financial performance. In this light, the objective of the study is defined; so as to determine the role of efficiency and profitability indicators on the performance of bank groups. The findings of the study reveal that foreign banks have shown outstanding profitability performance and excellent management efficiency. It is the private sector banks that have outperformed the competing bank groups in terms of earning efficiency. Public sector banks have lagged behind with deteriorating profitability and efficiencies during the analysis period.


2018 ◽  
Vol 25 (7) ◽  
pp. 2105-2125 ◽  
Author(s):  
Nitin Arora ◽  
Nidhi Grover Arora ◽  
Kritika Kanwar

Purpose The issue of mounting non-performing assets (NPAs) in Indian banking industry is serious and attracting attention of academia and policy planners. Thus, the purpose of this paper is to test the hypothesis whether NPAs in Indian commercial banking have reached at alarming state where they start affecting the technical efficiency levels adversely or not. Design/methodology/approach The efficiency score have been computed using case model (model with NPAs as bad/undesirable output) vs control model (model without NPAs as bad/undesirable output) methodology under meta-frontier data envelopment analysis framework. Findings It has been noticed that the effect of NPAs on overall technical efficiency and its various components is insignificant. The comparison of the case models (i.e. model with NPAs as bad output) with the control models (i.e. model without NPAs) reveals insignificant difference in average efficiency scores and rank distribution of commercial banks. The major source of inefficiency is technology gap (i.e. structure, setup and objectives of banking) among public, domestic private and foreign private categories of banks. Practical implications Though NPAs are increasing in Indian banking industry and specifically in Indian public sector banks because of their compulsory lending to priority sector yet the banks have huge scope to extend credit to priority sector as the NPAs have not reached at alarming stage where they start affecting adversely the efficiency performance. Originality/value Given the fact that the banking penetrations, structure and objectives differ significantly across ownership, separate frontiers for each ownership (public, private and foreign banks) category has been used to evaluate the technical efficiency levels of 81 commercial banks operating in India over the period 2005 to 2013.


2020 ◽  
Vol 14 (2) ◽  
pp. 95-105
Author(s):  
Sudarshan Maity ◽  
Tarak Nath Sahu

Purpose An inclusive financial system is essential to develop the country’s economy. A massive shift in financial inclusion was observed by the initiative of government to include financially excluded into the formal financial system by launching Pradhan Mantri Jan Dhan Yojana (PMJDY) in 2014. This paper aims to attempt to examine the efficiency of public sector banks in financial inclusion during pre and post introduction of PMJDY. Design/methodology/approach The data envelopment analysis is used to measure the efficiency of the banks towards financial inclusion for the periods, 2010–2011 to 2013–2014 as pre-introduction and 2014–2015 to 2017–2018 as post-introduction phase. For this study, supply-side parameters of financial inclusion considered as input variables and demand-side parameters as output variables. Findings The study finds that overall average efficiency towards financial inclusion increases significantly during post-phase, though all the public sector banks are not performing equally. There is a significant variation in efficiency level between them and even between the two periods. Further, there is a huge opportunity to enhance technical efficiency with the same quantity of input which will help to achieve the target of financial inclusion. Originality/value A comparative study between the two phases has taken place to analyse the impact of the scheme on the technical efficiency of banks. One of the notable innovativeness of this study is that, unlike most of the previous studies which are mostly theoretical and conceptual, the present study may place itself as a unique inquiry in the domain of efficiency review of public sector banks during pre and post introduction of PMJDY.


2017 ◽  
Vol 35 (3) ◽  
pp. 411-430 ◽  
Author(s):  
Rishi Kant ◽  
Deepak Jaiswal

Purpose In the present competitive scenario in the Indian banking industry, service quality has become one of the most important facets of interest to academic researchers. The purpose of this paper is to determine the dimensions of perceived service quality and investigate their impact on customer satisfaction in the Indian banking context, with special reference to selected public sector banks in India. Design/methodology/approach On the basis of the empirical study, the authors validate a measurement model using structural equation modeling for investigating the impact of perceived service quality dimensions on customer satisfaction. The study sample consists of 480 respondents in the National Capital Region (NCR) of India; the data were collected through a structured questionnaire utilizing a seven-point Likert scale while implementing a purposive sampling technique. Findings The perceived service quality dimensions identified were tangibility, reliability, assurance, responsiveness, empathy, and image. The empirical findings revealed that “responsiveness” was found to be the most significant predictor of customer satisfaction. On the other hand, “image” (corporate image) has a positive but the least significant relationship with customer satisfaction followed by all other constructs. The exception is “reliability,” which is insignificantly related to customer satisfaction in Indian public sector banks. Research limitations/implications The study cannot be generalized in the context of Indian banking sectors, as it only focused on the public sector. The findings of this study suggest that the six dimensions of perceived service quality model are a suitable instrument for evaluating bank service quality for public banks in India. Therefore, bank managers can use this model to assess the bank service quality in the context of Indian public sector banks. Originality/value There is dearth of research focusing on corporate image as a dimension of perceived service quality and its effect on customer satisfaction in the Indian banking context. Furthermore, similar studies were rarely found in the Indian context, especially within the public banking sector. Hence, this paper attempts to accomplish the research gap by empirically testing the satisfaction level of a large sample of the population in NCR toward six dimensions of perceived service quality rendered by selected public sector banks in India.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anju Goswami ◽  
Rachita Gulati

PurposeThis paper aims to investigate the productivity behavior of Indian banks in the presence of non-performing assets (NPAs) over the period 1999 to 2017. The study examines whether Indian banks withstand the shocks of the global financial crisis (GFC) of 2007–2009 and sustain their total factor productivity (TFP) levels in the post-crisis economic turbulent period or not.Design/methodology/approachThe robust estimates of TFP and its components: efficiency change and technical change are obtained using the state-of-the-art and innovative sequential Malmquist-Luenberger productivity index (SMLPI) approach. The key advantages of this approach are that it explicitly allows the joint production of undesirable output (NPAs in our case) along with desirable inputs and outputs in the production process and precludes the possibility of spurious technical regress.FindingsThe empirical results of the study reveal that the Indian banking system has experienced a (−1) percent TFP regress, contributed solely by efficiency loss during the period under investigation. The GFC has slowed down the growth trajectory of TFP growth in the Indian banking industry. Among ownership groups, the effect of the GFC was pronounced on the public sector banks.Practical implicationsThe practical implication drawn from the study is that the Indian banks have not been able to successfully transmit the use of installed technology in a way to generate early warning signals and mitigate the risk of defaults so as to maximize their productivity gains in the banking industry.Originality/valueThis study is perhaps the first one to understand the productivity dynamics of the Indian banks in response to both endogenous (i.e. NPA crisis) and exogenous (i.e. global financial and economic stress) crises. Moreover, the authors obtain the robust estimates of TFP growth of Indian banks by explicitly accounting for NPAs as an undesirable output and equity as a quasi-fixed input in the bank production process.


2019 ◽  
Vol 11 (2) ◽  
pp. 218-231
Author(s):  
Sanjukta Sarkar ◽  
Rudra Sensarma ◽  
Dipasha Sharma

Purpose This paper aims to examine the interplay between risk, capital and efficiency of Indian banks and study how their relationship differs across different ownership types. Design/methodology/approach Panel regression techniques are used to analyze a large data set of all Indian scheduled commercial banks operating during the period 2008-2016. Findings The results show that lower efficiency is associated with higher credit risk in the case of public sector and old private sector banks (”bad management hypothesis”). However, higher efficiency leads to higher credit risk in the case of foreign banks (“cost skimping hypothesis”). The authors further find that the more efficient institutions among public sector hold more capital. Finally, they find that the better-capitalized banks among those in the public sector have lower risks on their balance sheets (“moral hazard hypothesis”). Originality/value There is a paucity of papers on the interplay between risk, capital and efficiency of banks in emerging economies. This paper is the first to study the inter-relationship between risk, capital and efficiency of Indian banks across ownership groups using a number of different measures of risk.


2019 ◽  
Vol 16 (2) ◽  
pp. 273-296 ◽  
Author(s):  
Ioannis Tampakoudis ◽  
Michail Nerantzidis ◽  
Demetres Subeniotis ◽  
Apostolos Soutsas ◽  
Nikolaos Kiosses

Purpose The purpose of this paper is to investigate the wealth implications of bank mergers and acquisitions (M&As) in the unique Greek setting given the triple crisis phenomenon – banking, sovereign debt and economic crises – that prevailed after the global financial crisis. Design/methodology/approach The study examines bank M&As and bank transactions over the period from 1997 to 2018, as well as government-assisted M&As during the crisis. The wealth effects of bank M&As are assessed using both univariate and multivariate frameworks. Findings Findings show a neutral crisis effect on the valuation of M&As upon their announcement. However, the authors provide conclusive evidence that M&A completions are value-destroying events for acquiring banks during the crisis, far worse than in the pre-crisis period. Greek banks also fail to create value from government-assisted mergers. The results suggest that the financial stability and the prevention of further deepening of the Greek crisis with possible contagion effects were achieved at the expense of shareholders and taxpayers. Originality/value To the authors’ knowledge, this is the first study that examines the impact of the Greek triple crisis on the wealth effects of bank M&As and bank transactions. Also, the study provides first evidence with regard to the economic impact of government-assisted M&As in the European context.


2020 ◽  
Vol 10 (4) ◽  
pp. 393-427 ◽  
Author(s):  
Ghulam Abbas ◽  
Shouyang Wang

PurposeThe study aims to analyze the interaction between macroeconomic uncertainty and stock market return and volatility for China and USA and tries to draw some invaluable inferences for the investors, portfolio managers and policy analysts.Design/methodology/approachEmpirically the study uses GARCH family models to capture the time-varying volatility of stock market and macroeconomic risk factors by using monthly data ranging from 1995:M7 to 2018:M6. Then, these volatility series are further used in the multivariate VAR model to analyze the feedback interaction between stock market and macroeconomic risk factors for China and USA. The study also incorporates the impact of Asian financial crisis of 1997–1998 and the global financial crisis of 2007–2008 by using dummy variables in the GARCH model analysis.FindingsThe empirical results of GARCH models indicate volatility persistence in the stock markets and the macroeconomic variables of both countries. The study finds relatively weak and inconsistent unidirectional causality for China mainly running from the stock market to the macroeconomic variables; however, the volatility spillover transmission reciprocates when the impact of Asian financial crisis and Global financial crisis is incorporated. For USA, the contemporaneous relationship between stock market and macroeconomic risk factors is quite strong and bidirectional both at first and second moment level.Originality/valueThis study investigates the interaction between stock market and macroeconomic uncertainty for China and USA. The researchers believe that none of the prior studies has made such rigorous comparison of two of the big and diverse economies (China and USA) which are quite contrasting in terms of political, economic and social background. Therefore, this study also tries to test the presumed conception that macroeconomic uncertainty in China may have different impact on the stock market return and volatility than in USA.


2019 ◽  
Vol 79 (1) ◽  
pp. 27-47 ◽  
Author(s):  
Gary W. Brester ◽  
Myles J. Watts

Purpose The safety and soundness of financial institutions has become a leading worldwide issue because of the recent global financial crisis. Historically, financial crises have occurred approximately every 20 years. The worst financial crisis in the last 75 years occurred in 2008–2009. US regulatory efforts with respect to capital reserve requirements are likely to have several unintended consequences for the agricultural lending sector—especially for smaller, less-diversified (and often, rural agricultural) lenders. The paper discusses these issues. Design/methodology/approach Simulation models and value-at-risk (VaR) criteria are used to evaluate the impact of capital reserve requirements on lending return on equity. In addition, simulations are used to calculate the effects of loan numbers and portfolio diversification on capital reserve requirements. Findings This paper illustrates that increasing capital reserve requirements reduces lending return on equity. Furthermore, increases in the number of loans and portfolio diversification reduce capital reserve requirements. Research limitations/implications The simulation methods are a simplification of complex lending practices and VaR calculations. Lenders use these and other procedures for managing capital reserves than those modeled in this paper. Practical implications Smaller lending institutions will be pressured to increase loan sector diversification. In addition, traditional agricultural lenders will likely be under increased pressure to diversify portfolios. Because agricultural loan losses have relatively low correlations with other sectors, traditional agricultural lenders can expect increased competition for agricultural loans from non-traditional agricultural lenders. Originality/value This paper is novel in that the authors illustrate how lender capital requirements change in response to loan payment correlations both within and across lending sectors.


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