Saibal Ghosh and Goutam Chatterjee
The purpose of this study is to examine the issue of bank capital structure which has been widely debated in recent times, especially in view of the envisaged implementation of…
Abstract
Purpose
The purpose of this study is to examine the issue of bank capital structure which has been widely debated in recent times, especially in view of the envisaged implementation of the revised Basel capital standards. An issue that has not been adequately addressed is the factors affecting capital structure of banks from a corporate finance perspective. To address this, the authors assemble data on publicly listed Indian banks for an extended time span and compare the findings with a comparable sample of largest non-financial firms.
Design/methodology/approach
In view of the longitudinal nature of the data, the authors use panel data techniques to examine the issue.
Findings
The analysis indicates that profitability, growth opportunities and risk are the factors that are most relevant in influencing bank capital. Second, the crisis appears to have exerted a perceptible impact on bank capital.
Practical implications
On balance, the findings refute the conventional wisdom that bank capital structure is purely a response to the regulatory requirements. Instead, the results would that banks’ capital decisions are influenced by several non-regulatory considerations as well, including government policies toward banks, which is particularly relevant in countries with predominantly state-owned banking systems.
Originality/value
First, the authors examine the relevance of bank ownership for leverage, an aspect not adequately addressed in emerging economy banking systems. Second, they consider the impact of regulatory pressure on bank leverage, which assumes relevance in the aftermath of the crisis, wherein banks have been hard-pressed for capital. And finally, they contribute to the thin literature on the interlinkage between capital structure and board structure for banks.
Details
Keywords
S. R. Pandey, Superintending Engineer (SE), Rural Roads Department, Bihar wanted to have a meeting of all the agencies involved, including his other engineers, the contractors to…
Abstract
S. R. Pandey, Superintending Engineer (SE), Rural Roads Department, Bihar wanted to have a meeting of all the agencies involved, including his other engineers, the contractors to discuss his village road-making project in Pradhan Mantri Gram Sadak Yojona (PMGSY). This case discusses how the concept of work breakdown is used to subdivide all the activities of road-making into different sub activities (earthwork, bridgework, roadwork and other miscellaneous activities) in different levels.
Details
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Keywords
Debasis Das Adhikary, Goutam Kumar Bose, Dipankar Bose and Souren Mitra
The purpose of this paper is to present a multi criterion failure mode effect and criticality analysis for coal-fired thermal power plants using uncertain data as well as…
Abstract
Purpose
The purpose of this paper is to present a multi criterion failure mode effect and criticality analysis for coal-fired thermal power plants using uncertain data as well as substituting the traditional risk priority number estimation method.
Design/methodology/approach
Grey-complex proportional assessment (COPRAS-G) method, a multi criteria decision making tool is applied to evaluate the criticalities of the failure modes (alternatives). In this model the criteria (criticality factor) against each alternative are expressed in grey number instead of crisp values.
Findings
Rupture failure of the straight tube of economizer (ECO) due to erosion is the highest critical failure mode whereas rupture failure of the stub of ECO due to welding defect is the lowest critical failure mode.
Originality/value
This paper incorporates human and environmental factors as additional factors which also influence the failure modes significantly. The COPRAS-G method is modified according this problem. Uncertainty in the scoring of criticality factors against each failure mode by various maintenance personnel is expressed in grey numbers.