Segmented Dynamic Optimization Model for Asset-Liability Management of Commercial Banks and Its Applications

doi:10.1007/s12204-012-1237-5

Abstract

Abstract: Abstract: Asset-liability management is the core business of commercial banks. Effective method of asset-liability management is a continuously exploring topic in the academic and practical fields. According to the operational characteristics of commercial banks, this paper addresses a segmented dynamic optimization model under the perspective of the regulatory environment for China commercial banks. The model can perform segmented sliding optimization and correct control variables to make optimal decision with the changes in situations for a certain future time.

Key words: commercial banks| asset| liability| optimization| model

摘要： Abstract: Asset-liability management is the core business of commercial banks. Effective method of asset-liability management is a continuously exploring topic in the academic and practical fields. According to the operational characteristics of commercial banks, this paper addresses a segmented dynamic optimization model under the perspective of the regulatory environment for China commercial banks. The model can perform segmented sliding optimization and correct control variables to make optimal decision with the changes in situations for a certain future time.

关键词: commercial banks| asset| liability| optimization| model

CLC Number:

F830.33

YANG Wen-ze (杨文泽), XU Xiao-ming (许晓鸣), CAI Yun-ze (蔡云泽). Segmented Dynamic Optimization Model for Asset-Liability Management of Commercial Banks and Its Applications[J]. Journal of shanghai Jiaotong University (Science), 2012, 17(1): 114-120.

References

[1] Smith A. The wealth of nations [M]. Dai Guang-nian (trans.). Wuhan: The Wuhan
Press, 2010 (in Chinese).

[2] Moulton H G. Commercial banking and capital formation. I [J]. Journal of Political Economy, 1918,
26(5): 484-508.

[3] Prochnow H V. Bank liquidity and the new doctrine of anticipated
income [J]. The Journal of Finance, 1949, 4(4):
298-314.

[4] Koch T W. Bank management [M]. Research office of Agricultural Bank of China (trans.). Beijing: China Financial
Publishing House, 1991: 122-197 (in Chinese).

[5] Sheedy E, Trevor R, Wood J. Asset allocation decisions when
risk is changing [J]. Journal of Financial Research, 1999,
22(3): 301-315.

[6] Shing C, Nagasawa H. Interactive decision system in stochastic
multiobjective portfolio selection [J]. International Journal
of Production Economics, 1999, 60-61: 187-193.

[7] Schael T, Zeller B. Workflow management systems for financial
services [C]// Proceedings of the Conference on Cooperative
Office Computing Systems (COOCS'93). Hayward, CA: [s.n], 1993:
142-153.

[8] Gjerde O, Semmen K. Risk-based capital requirements and bank
portfolio risk [J]. Journal of Banking &
Finance, 1995, 19(7): 1159-1173.

[9] Koren M, Szeidl A. Portfolio choice with illiquid assets
[R]. Cambrideg, MA: Department of Economics, Harvard University,
2002.

[10] Zhuang Xin-tian, Huang Xiao-yuan. Two-stage model for bank asset
management and its optimization [J]. Journal of Northeastern
University: Natural Science, 2001, 22(6): 627-630 (in
Chinese).

[11] Matz L, Neu P. Liquidity risk measurement and management
[M]. Beijing: China Financial Publishing House, 2010: 151-302 (in
Chinese).

[12] Basel Committee on Banking Superrision. The new Basel capital accord
[EB/OL]. (2011-03-01). http://www.bis.org/publ/bcbsca03.pdf.

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