DocumentCode :
523676
Title :
Allocation Model Construction and Empirical Research on Incremental Economic Capital of Credit Operations
Author :
Houqing Fang ; Jianmin He ; Li Shen
Author_Institution :
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
Volume :
1
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
449
Lastpage :
452
Abstract :
According to current commercial bank management requirements of credit risk, this paper studies the optimization allocation model of incremental economic capital of credit businesses in commercial bank. It has the objective function of Economic Value Added (EVA) and the restrictive conditions of hurdle rate, risk adjusted return on capital (RAROC), available economic capital gross, degree of concentration and speeding-up limitation of risk exposure in credit businesses portfolio and so on. To solve shareholder´s value creation of the economic capital optimization problem, then incremental economic capital allocation model of credit operations is built up. Empirical studies have shown that the method of genetic algorithm optimization tool to solve the allocation model is scientific and feasible.
Keywords :
banking; economics; genetic algorithms; risk management; allocation model construction; commercial bank management requirements; credit operations; credit risk; economic capital gross; economic capital optimization problem; economic value added; empirical research; genetic algorithm optimization tool; incremental economic capital allocation model; optimization allocation model; risk adjusted return on capital; Automation; Business; Conference management; Costs; Genetic algorithms; Helium; Optimization methods; Portfolios; Risk management; Technology management; EVA; RAROC; economic capital; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.742
Filename :
5522798
Link To Document :
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