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Internal Assessment of Credit Concentration Risk Capital: A Portfolio Analysis of Indian Public Sector Bank

机译:信贷集中风险资本的内部评估:印度公共部门银行的投资组合分析

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摘要

This paper aims at working out a more risk sensitive measure of concentration risk and captures its impact in terms of capital number that will help the bank’s top management to manage it efficiently as well as meet the regulatory compliance. We have designed a more risk sensitive measures like expected loss based Hirschman-Herfindahl Index (HHI), loss correlation approach (single as well as multi factor), credit value at risk (C-VaR) based on bank’s internal loss data history that would measure credit concentration and suggest the amount of capital required to cover concentration risk. Using detailed borrower wide, facility wide, industry and regional loan portfolio data of a mid sized public sector bank in India, our paper attempts to provide a detail insight into measurement of concentration risk in credit portfolio and understand its impact in terms of economic capital for the bank as a whole. Regulators and other stakeholders worldwide are asking for more accurate and precise measure of concentration risk in terms of capital numbers. The detailed analysis and methods used in this paper is an attempt to find out a solution in this direction.
机译:本文旨在制定出一种对风险更为敏感的集中风险衡量方法,并从资本数量的角度捕捉其影响,这将有助于该银行的最高管理者有效管理风险并符合法规要求。我们设计了一种更具风险敏感性的措施,例如基于预期损失的Hirschman-Herfindahl指数(HHI),损失相关方法(单因素和多因素),基于银行内部损失数据历史记录的信用风险价值(C-VaR),测量信贷集中度,并提出弥补集中度风险所需的资本额。我们使用印度中型公共部门银行的详细借款人范围,设施范围,行业和区域贷款组合数据,我们的论文试图提供详细的洞察力,以衡量信贷组合中的集中风险,并了解其对经济资本的影响。整个银行全世界的监管机构和其他利益相关方都要求以资本数字更准确,更精确地衡量集中风险。本文中使用的详细分析和方法是试图找出这个方向的解决方案。

著录项

  • 作者

    Bandyopadhyay Arindam;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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