Skip to main content
Log in

Segmented dynamic optimization model for asset-liability management of commercial banks and its applications

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

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

    Google Scholar 

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

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  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).

    Google Scholar 

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

    Google Scholar 

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

    Article  Google Scholar 

  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.

    Google Scholar 

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

    Article  Google Scholar 

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

    Google Scholar 

  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).

    Google Scholar 

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

    Google Scholar 

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

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wen-ze Yang  (杨文泽).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 61004088), the Key Foundation for Basic Research from Science and Technology Commission of Shanghai (No. 09JC1408000), and the Aeronautic Science Foundation of China (No. 20100157001)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, Wz., Xu, Xm. & Cai, Yz. Segmented dynamic optimization model for asset-liability management of commercial banks and its applications. J. Shanghai Jiaotong Univ. (Sci.) 17, 114–120 (2012). https://doi.org/10.1007/s12204-012-1237-5

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-012-1237-5

Key words

CLC number

Navigation