管理工程学报
管理工程學報
관리공정학보
Journal of Industrial Engineering and Engineering Management
2011年
3期
123~132
,共null页
资产负债管理 优化模型 预留缺口 风险价值VaR
資產負債管理 優化模型 預留缺口 風險價值VaR
자산부채관리 우화모형 예류결구 풍험개치VaR
assets-liabilities management; optimal model; prepared duration gap; VaR
以利率变化后的VaR风险限额约束条件,以资产组合的利息收入最大为目标函数,建立资产负债组合优化模型。本文的创新与特色一是通过预设持续期缺口使银行的资产组合在利率变动的有利条件下增加银行净值。这弥补了现有的零缺口免疫条件的资产组合不能使银行股东权益在利率变化中增加的缺陷。二是利用VaR技术建立约束条件控制预设的持续期缺口。在利率变动的不利条件下,通过在一定置信水平下的最大损失限额控制资本损失,把银行可能面临的利率风险限定在银行的净利息收入范围内。这种优化配给控制了资本损失,保护了股东权益,开辟了资产优化配置研究的新思路。三是利用银行间市场7天回购利率(R07D)的历史数据,估计了未来的市场利率波动量的概率分布,解决了由于影响因素多而难以刻画市场利率变动情况的问题。
以利率變化後的VaR風險限額約束條件,以資產組閤的利息收入最大為目標函數,建立資產負債組閤優化模型。本文的創新與特色一是通過預設持續期缺口使銀行的資產組閤在利率變動的有利條件下增加銀行淨值。這瀰補瞭現有的零缺口免疫條件的資產組閤不能使銀行股東權益在利率變化中增加的缺陷。二是利用VaR技術建立約束條件控製預設的持續期缺口。在利率變動的不利條件下,通過在一定置信水平下的最大損失限額控製資本損失,把銀行可能麵臨的利率風險限定在銀行的淨利息收入範圍內。這種優化配給控製瞭資本損失,保護瞭股東權益,開闢瞭資產優化配置研究的新思路。三是利用銀行間市場7天迴購利率(R07D)的歷史數據,估計瞭未來的市場利率波動量的概率分佈,解決瞭由于影響因素多而難以刻畫市場利率變動情況的問題。
이리솔변화후적VaR풍험한액약속조건,이자산조합적이식수입최대위목표함수,건립자산부채조합우화모형。본문적창신여특색일시통과예설지속기결구사은행적자산조합재리솔변동적유리조건하증가은행정치。저미보료현유적령결구면역조건적자산조합불능사은행고동권익재리솔변화중증가적결함。이시이용VaR기술건립약속조건공제예설적지속기결구。재리솔변동적불리조건하,통과재일정치신수평하적최대손실한액공제자본손실,파은행가능면림적리솔풍험한정재은행적정이식수입범위내。저충우화배급공제료자본손실,보호료고동권익,개벽료자산우화배치연구적신사로。삼시이용은행간시장7천회구리솔(R07D)적역사수거,고계료미래적시장리솔파동량적개솔분포,해결료유우영향인소다이난이각화시장리솔변동정황적문제。
Asset liability management is an effective method to maximize asset portfolio profits by coordinating internal relationships between capital source and capital use at an acceptable risk level.A bank's net worth or shareholder equity changes constantly because the values of asset and liability change with interest rates.Risk control of interest rates is important because interest rate risks are an kernel aspect in asset liability management. Assets liabilities management optimal model is set up through VaR risk control constrained with interest rate changes,and profit maximization of asset portfolio.Preparation duration gap offers an opportunity to increase a bank's net worth at floating interest rates moving in favorable directions.Preparation duration gap can help control changes to a bank's net worth through VaR constraints of risk limitation when market interest rates change in unfavorable directions.We make sure that a bank's capital losses do not exceed net interest profits at certain confidence levels.A bank's interest rate risk is controlled at an acceptable tolerance level. In Section I,we introduce the advantages and disadvantages of interest rate risk management based on the current literature.A bank's assets portfolio can increase the bank net worth through preparation duration gap when the market interest rate changes in favorable directions.A bank's assets portfolio meets the requirement risk limitation.Through the preparation duration gap,asset portfolio can increase a bank's net worth at floating interest rates when market interest rates change in favorable directions.Through the preparation duration gap,a control bank's assets portfolio can meet risk limitation requirements at certain confidence levels when market interest rates change in unfavorable direction.In Section 2,we propose a model to optimize asset and liability management based on the preparation duration gap.The model uses an objective function of interest income maximum and risk constrains of positive and negative preparation gap.In Section 3,we discuss data application,modeling process,optimal result,and comparison results.We conclude our paper in Section 4. This paper makes three major contributions.First,we discover that a bank's net worth will increase through the preparation duration gap when interest rate changes in favorable conditions.This is an alternative solution to the findings of the current research that a bank's net value cannot be increased when the duration gap is zero.Second,we use the Value at Risk to build constraints of preparation duration gap.Profit loss caused by interest rate risk can be minimized through the control of maximum loss at certain confidence levels.Optimization of allocation can help control capital loss,protect a bank's owner equity,and develop new ideas of optimal asset optimization.Last,we use interest rates over seven days to estimate the probability distribution of the future market rate fluctuation,and solve problems caused by market rate fluctuation.