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A firm-level model for commercial banks servicing agriculture: A multi-stage stochastic programming approach.

机译:商业银行为农业服务的公司级模型:多阶段随机规划方法。

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摘要

Rural commercial banks are facing many challenges as they transition into the next century. There are considerable uncertainties about commercial banks' long-term access to cost-effective sources of funds. The changes in the sources and costs of loanable funds coupled with the changes in sources and levels of demand will likely increase bank's exposure to interest rate and liquidity risks. The ability of banks to manage these risks and uncertainties in an efficient manner will play a large role in determining the survivability and competitiveness of commercial banks in agricultural financial markets. These risks and uncertainties have motivated the American Bankers Association and the Independent Bankers Association to seek new authorities to access alternative sources of loanable funds.;The objective of this study is to create a methodological framework to evaluate the performance changes that are occurring with commercial banks through funding alternatives. Two methodological frameworks are incorporated: (1) an optimization model to determine the optimal investment and financing activities the bank should pursue and (2) a simulation model to project interest rates. The optimization model is a multistage stochastic programming model that is employed to estimate performance effects on liquidity, profitability, risk tolerance and growth. The simulation model for estimating stochastic interest rates is based on a mean reverting Ornstein Uhlenbeck process. The specific procedures of the interest rate simulation model are done following Evans, Keef, and Okunev (1994). The bank performance changes are evaluated under different economic scenarios. Scenarios include varying: interest rate risk tolerance levels, interest rate environments, loan demand volatilities, and deposit flow trends. Representative banks at two different loan to deposit ratios are examined. Two levels of collateral utilization rates are also used to examine the effects of alternative funding.;The model results depend upon the model specification as well as the linkage between the bank and its external environments. In general, the differences between the balance sheet decisions made by the bank under the alternative scenarios are not large. Major findings of this study are (1) profitability is not substantially affected by alternative funds; (2) alternative funds aid interest rate risk management; (3) alternative funding is advantageous when deposit funds are declining; (4) alternative funds are needed to expand loan volume in periods of high loan demand; (5) expansion of the collateral base may not be needed; (6) loan demand, policy constraints, and gap ratios are often constraining the level of alternative funds used; and (7) arbitraging may occur in banks' investment portfolio as additional funding is used.
机译:农村商业银行在进入下一个世纪时面临着许多挑战。商业银行能否长期获得具有成本效益的资金来源存在很大的不确定性。可贷资金来源和成本的变化,加上需求来源和水平的变化,可能会增加银行面临的利率和流动性风险。银行有效管理这些风险和不确定性的能力将在确定商业银行在农业金融市场中的生存能力和竞争力方面发挥重要作用。这些风险和不确定性促使美国银行家协会和独立银行家协会寻求新的机构以获取可贷资金的替代来源。本研究的目的是建立一种方法框架来评估商业银行发生的绩效变化通过资金替代方案。纳入了两个方法框架:(1)用于确定银行应进行的最佳投资和融资活动的优化模型;(2)用于预测利率的模拟模型。优化模型是一个多阶段随机规划模型,用于估计对流动性,盈利能力,风险承受能力和增长的绩效影响。用于估计随机利率的仿真模型基于均值回复Ornstein Uhlenbeck过程。利率模拟模型的具体程序遵循Evans,Keef和Okunev(1994)的方法进行。在不同的经济情景下评估银行的绩效变化。方案包括多种:利率风险承受水平,利率环境,贷款需求波动率和存款流量趋势。以两种不同的贷存比率检查代表银行。还使用了两个级别的抵押品使用率来检验替代资金的影响。模型结果取决于模型规范以及银行与其外部环境之间的联系。通常,在替代方案下银行做出的资产负债表决策之间的差异并不大。这项研究的主要发现是:(1)获利能力基本上不受另类资金的影响; (二)另类资金对利率风险的管理; (3)当存款资金减少时,另类资金是有利的; (4)在高贷款需求时期,需要另类资金来扩大贷款量; (5)可能不需要扩大抵押基础; (6)贷款需求,政策约束和缺口率通常限制了替代资金的使用水平; (7)由于使用了额外的资金,银行的投资组合可能发生套利。

著录项

  • 作者

    Jeon, Dae-Seong.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Economics Agricultural.;Business Administration Banking.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 264 p.
  • 总页数 264
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业经济;金融、银行;
  • 关键词

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