Financial Performance Measures, Efficiency and Indian Banking

2012 ◽  
Vol 1 (2) ◽  
pp. 43-56
Author(s):  
Padmasai Arora
Keyword(s):  
Financial Performance ◽  
Performance Measures ◽  
Bank Performance ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Policy Makers ◽  
Important Indicator ◽  
Financial Measures ◽  
Financial Performance Measures ◽  
Using Data

Globalization forces are linking banking operations to worldwide markets making them vulnerable to global stress. This fundamental change compels banks to be more robust in terms of sound financial performance. Bankers worldwide compute a large number of financial measures using ratios to gauge bank performance. This paper calculates efficiency, an important indicator of financial performance of banks in India using Data Envelopment Analysis (DEA) for the period 2006-07. Following Jackson (1972), the paper investigates commonality that might exist among financial performance measures computed by banks in India and the estimated bank efficiency scores. Results of Factor Analysis uncovered fewer significant factors and interestingly show that efficiency scores do not cluster with other measures of bank performance despite emerging as one of the significant factor. The present paper argues that bankers and policy makers should not feel contented by looking at the standard performance measures alone. Rather, they should also try to examine bank performance vis-à-vis efficiency based on multiple inputs and outputs to capture the complete picture. A paradigm shift towards measurement of efficiency using sophisticated modeling techniques is recommended for better performance evaluation in banking.

A Production Approach to Performance of Banks with Microfinance Operations

2014 ◽  
Vol 6 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Emilyn Cabanda ◽  
Eleanor C. Domingo
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Measures ◽  
Negative Relationship ◽  
The Philippines ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Production Frontier ◽  
Financial Performance Measures ◽  
Production Approach

Banking institutions, nowadays, serve as intermediaries of funds to a variety of clients, including the micro enterprisers. This study analyzes and measures the performance of rural and thrift banks with microfinance operations in the Philippines, using combined measures of data envelopment analysis and traditional financial performance indicators. Data envelopment analysis (DEA) method is employed to measure the productive efficiency of these banks under the production approach. The variable returns to scale is also used, with the assumption that not all banks are operating at optimal scale over the long-run period. DEA findings reveal that sample banks performed below the production frontier. The average technical efficiency score of these banks is 66.09% and additional 33.91% is needed to reach the production frontier. Overall, thrift banks are found to be more productively efficient than rural banks as depository banks. The authors have also found a strong relationship between financial performance measures and bank's productive efficiency. For thrift banks, sustainability, ROE and ROA measures showed a statistically significant positive correlation to the banks' productive efficiency while a negative relationship was observed in rural banks. Lastly, the authors can suggest that both DEA's productive efficiency and financial performance measures are consistently and strongly correlated when evaluating the overall performance of banks with microfinance operations.

scholarly journals Non-financial performance measures and pay-performance sensitivity

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
MyoJung Cho ◽  
Salma Ibrahim
Keyword(s):  
Financial Performance ◽  
Performance Measures ◽  
Financial Risk ◽  
Shareholder Wealth ◽  
Performance Measure ◽  
Content Type ◽  
Financial Measures ◽  
Performance Sensitivity ◽  
Ceo Pay ◽  
Financial Performance Measures

Purpose This study aims to examine whether chief executive officer (CEO) pay-performance sensitivity to shareholder wealth is related to the use of non-financial performance measures in incentive contracts. Design/methodology/approach Using hand-collected performance measure data in a sample of S&P 500 firms across the period 1994–2010, this study investigates the sensitivity of CEO bonus and cash pay to shareholder wealth of firms that use non-financial performance (NFPM) measures of varying types and contractual weights in their bonus contracts along with financial measures (NFPM firms) in comparison to that of firms using financial measures only (FPM firms). Findings This study finds evidence that the pay-performance sensitivity is stronger in NFPM firms than in FPM firms. These results are driven by the use of CEO individual goals and operational efficiency. Furthermore, when using environmental, social and governance factors, the pay-performance sensitivity is stronger in terms of accounting performance only. This study also finds that using NFPM enhances pay-performance sensitivity more as their contractual weights increase and as financial risk increases. Practical implications These findings are important to stakeholders, and especially regulators in understanding incentive effects of alternative performance measures. This study also sheds light on what types of non-financial measures are better in helping firms align CEOs’ incentives to shareholders’ interests. Originality/value This study contributes to prior research on benefits of non-financial information within the context of executive compensation. This study presents original results about the effects of contractual weights of non-financial measures and financial risk on CEO pay-performance sensitivity. This study also presents new insights regarding how different types of non-financial measures affect CEO pay-performance sensitivity.

A benchmarking study of Indian seaports

2019 ◽  
Vol 13 (1) ◽  
pp. 88-102
Author(s):  
Sajeev Abraham George ◽  
Anurag C. Tumma
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Data Envelopment ◽  
Operational Parameters ◽  
Two Stage ◽  
Content Type ◽  
The Public ◽  
Port Authorities ◽  
Financial Performance Measures ◽  
The Government

Purpose The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance. Design/methodology/approach A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance. Findings A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights. Research limitations/implications The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports. Practical implications There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance. Originality/value This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

scholarly journals Changes in Financial Performance of Traditional Intermediatries for Financial Innovation

2019 ◽  
Vol 8 (10) ◽  
pp. 3723-3728
Keyword(s):  
Financial Performance ◽  
Causal Relationship ◽  
Granger Causality ◽  
Performance Measures ◽  
Empirical Model ◽  
Negative Impact ◽  
Financial Innovation ◽  
Bank Performance ◽  
Loan Growth ◽  
The Impact

The purpose of this thesis is to examine the impact of digital bank deposit, asset and loan growth on selected traditional bank performance measures. In order to estimate whether a causal relationship between digital bank measures and traditional bank performance exists, Granger causality method is selected as the main empirical model. In addition, to determine the direction and strength of said relationship, OLS regressions are performed. Research results lead to the conclusion that digital bank deposit and loan growth have a causal relationship to traditional bank performance ratios. Deposit growth has a negative impact on traditional bank performance ratios and loan growth shows both positive and negative impact on different ratios. This research demonstrates some of the challenges that traditional banks are facing in the age of innovation.

The effectiveness of flexible manufacturing strategies

2009 ◽  
Vol 58 (2) ◽  
pp. 119-135 ◽  
Author(s):  
Therese A. Joiner ◽  
X. Sarah Yang Spencer ◽  
Suzanne Salmon
Keyword(s):  
Financial Performance ◽  
Performance Measures ◽  
Flexible Manufacturing ◽  
Positive Association ◽  
Manufacturing Firms ◽  
Manufacturing Strategy ◽  
Organisational Performance ◽  
Content Type ◽  
Financial Performance Measures

PurposeAgainst a background of a customization imperative embraced by manufacturing firms in industrialised nations and the concomitant call for more balanced performance measurement systems (PMS), this study seeks to examine the mediating role of both non‐financial and financial performance measures in the relationship between a firm's strategic orientation of flexible manufacturing and organisational performance.Design/methodology/approachA path‐analytical model is adopted using questionnaire data from 84 Australian manufacturing firms.FindingsThe results indicate that, first, firms emphasising a flexible manufacturing strategy utilise non‐financial as well as financial performance measures; second, these performance measures are associated with higher organisational performance; and third, there is a positive association between a firm's strategic emphasis on flexible manufacturing and organisation performance via non‐financial and financial performance measures.Practical implicationsWhile there is agreement on the beneficial role of non‐financial performance measures in supporting strategic priorities associated with customization strategies, equivocal research results have emerged on the role of financial performance measures in this context. The study underscores the importance of both non‐financial and financial performance measures in this context.Originality/valueThe paper reinstates the value of financial performance measures for firms pursuing customization type strategies and adds to one's knowledge of PMSs by exploring the intervening role of such systems in linking flexible manufacturing strategy to organisation performance.

CEO Narcissism and Accounting: A Picture of Profits

2013 ◽  
Vol 26 (2) ◽  
pp. 243-267 ◽  
Author(s):  
Kari Joseph Olsen ◽  
Kelsey Kay Dworkis ◽  
S. Mark Young
Keyword(s):  
Financial Performance ◽  
Performance Measures ◽  
Data Availability ◽  
Personality Characteristics ◽  
Share Price ◽  
Earnings Per Share ◽  
Narcissistic Personality ◽  
Financial Performance Measures ◽  
Operational Activities ◽  
Ceo Narcissism

ABSTRACT This study investigates the relationship between narcissistic personality characteristics in CEOs of Fortune 500 companies and financial performance measures of earnings-per-share (EPS) and stock valuation. Using panel data from 1992 through 2009, we show that firms with narcissistic CEOs have higher earnings-per-share and share price than those with non-narcissistic CEOs. We examine the mechanism driving the observed results and find that narcissistic CEOs are more likely to increase reported EPS through real and operational activities rather than accrual-based manipulations. The findings suggest that narcissistic personality characteristics of top executives affect financial performance measures through the executive's decisions and influence over the firm's operational activities rather than through accrual and accounting decisions. Data Availability: Data available upon request.

Linking Key Performance Indicators to New International Venture Survival

2016 ◽  
Vol 15 (3) ◽  
pp. 31-48
Author(s):  
Yasheng Chen ◽  
Johnny Jermias
Keyword(s):  
Life Cycle ◽  
Performance Measures ◽  
Early Stage ◽  
Bankruptcy Prediction ◽  
New Venture ◽  
Business Success ◽  
Employee Productivity ◽  
Financial Measures ◽  
Start Up ◽  
Financial Performance Measures

ABSTRACT Based on the four major challenges firms face in the early stage of their life cycle, we identify and use financial and non-financial performance measures to predict the survivability of new international ventures. We use a sample of 3,729 new manufacturing ventures from the Chinese Foreign Invested Enterprises Database. The study sample consists of wholly owned ventures of multi-national corporations (MNCs) and joint ventures between pairs comprising foreign and local investors in China. The results are consistent with the study's hypotheses. Using the Cox (1972) survival model, we find that employee training, employee productivity, accounts receivable collection period, export intensity, and sales growth are positively related to new venture survival. This study contributes to the existing business venturing and accounting literature in three ways. First, it fills the gap in the existing literature on bankruptcy prediction by focusing on firms in the early stage of their life cycle. Second, it uses survivability as a measure of business success. Survivability is a more comprehensive measure of firm performance than traditional financial measures during the start-up stage because during this stage firms tend to carry large losses that make financial measures inappropriate. Finally, this study has the potential to help new venture managers improve a firm's chances of success by using customized performance measures that fit its unique situation. JEL Classifications: D21; G32; M41.

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