Skip to main content

Optimization on the Financial Management of Banks with Two-Stage Goal Programming Model

  • Conference paper
  • First Online:
Book cover Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 724))

Abstract

The strategic planning is important in bank financial management. The banks and financial institutions have to achieve multiple goals in optimizing asset, liability, equity, earnings, profit and optimum management item. The subjective judgment in assigning weight of the goals is a drawback in financial management of the banks since it may cause inconsistent judgment. In addition, there are no comprehensive studies done on comparison among the banks for benchmarking based on the past studies in optimizing the financial management. Hence, this paper aims to improve the bank financial management by proposing a two-stage goal programming (GP) model to compare and optimize the bank financial management. The proposed model is developed based on entropy method in determining the weight of the goal at the first stage before optimizing the financial management with GP model at the second stage. Four listed banks in Malaysia are investigated in this study. The results indicate that the goal for asset, equity and optimum management item have been achieved by all banks. Furthermore, the target value of asset, equity, earning and profit can be increased according to the optimal solution of the proposed model. The significance of this paper is to provide insights to the banks for further improvement based on the optimal solution of the proposed model.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Elsayed E, Dawood A, Karthikeyan R (2017) Evaluating alternatives through the application of topsis method with entropy weight. Int J Eng Trends Technol 46(2):60–66

    Article  Google Scholar 

  2. Kosmidou K, Zopounidis C (2002) A multi objective methodology for bank asset liability management, financial engineering, e-commerce and supply chain. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  3. Naderi S, Minouei M, Gashti H (2013) Asset and liability optimal management mathematical modeling for bank. J Basic Appl Sci Res 3(1):484–493

    Google Scholar 

  4. Elsayed E, Dawood A, Karthikeyan R (2017) Using Vikor technique for evaluating customer satisfaction in bank using entropy weight. Int J Innovative Res Sci Eng Technol 6(5):9655–9663

    Google Scholar 

  5. Halim B, Karim H, Fahami N, Mahad N, Nordin S, Hassan N (2015) Bank financial statement management using a goal programming model. Procedia Soc Behav Sci 211:498–504

    Article  Google Scholar 

  6. Zaloom V, Tolga A, Chu H (1986) Bank funds management by goal programming. Comput Ind Eng 11(1–4):132–135

    Article  Google Scholar 

  7. Feroz EH, Kim S, Raab RL (2003) Financial statement analysis: a data envelopment analysis approach. J Oper Res Soc 54(1):48–58

    Article  Google Scholar 

  8. Liew KF, Lam WS, Lam WH (2017) An empirical evaluation on the efficiency of the companies in Malaysia with data envelopment analysis model. Adv Sci Lett 23(9):8264–8267

    Article  Google Scholar 

  9. Tehrani R, Mehragan MR, Golkani MR (2012) A model for evaluating financial performance of companies by data envelopment analysis. Int Bus Res 5(8):8–16

    Article  Google Scholar 

  10. Deng H, Yeh C, Willis R (2000) Inter-company comparison using modified TOPSIS with objective weights. Comput Oper Res 27:963–973

    Article  Google Scholar 

  11. Tektas A, Ozkan-Gunay EN, Gunay G (2005) Asset and liability management in financial crisis. J Risk Finance 6(2):135–149

    Article  Google Scholar 

  12. Arewa A, Owoputi J, Torbira L (2013) Financial statement management, liability reduction and asset accumulation: an application of goal programming model to a Nigerian bank. Int J Financ Res 4(4):83–90

    Article  Google Scholar 

  13. Viswanathan PK, Balasubramanian G (2014) Modeling asset allocation and liability composition for Indian banks. Manag Financ 40(7):700–723

    Google Scholar 

  14. Chen JW, Lam WS, Lam WH (2019) Mathematical modelling of bank financial management in Malaysia using goal programming approach. In: Proceedings of the third international conference on computing, mathematics and statistics. Springer Nature, Singapore, pp 119–125

    Google Scholar 

  15. Jaaman SH, Lam WH, Isa I (2014) A new higher moment portfolio optimisation model with conditional value at risk. Int J Oper Res 21(4):451–465

    Article  MathSciNet  Google Scholar 

  16. Lam WS, Lam WH (2016) Strategic decision making in portfolio management with goal programming model. Am J Oper Manag Inf Syst 1(1):34–38

    Google Scholar 

  17. Lam WS, Jaaman SH, Ismail H (2014) Portfolio optimization in enhanced index tracking with goal programming approach. AIP Conf Proc 1614:968–972

    Google Scholar 

  18. Wu LC, Chou SC, Yang CC, Ong CS (2007) Enhanced index investing based on goal programming. J Portfolio Manag 33(3):49–56

    Article  Google Scholar 

  19. Huang J (2008) Combining entropy weight and TOPSIS method for information system selection. In: International conference on automation and logistics. Proceedings of the IEEE, Qingdao, China, pp 1965–1968

    Google Scholar 

  20. Li X, Gao Z (2015) Application of improved entropy TOPSIS to competitive performance evaluation of power companies. In: International conference on computational science and engineering. Atlantis Press, Paris, pp 183–188

    Google Scholar 

  21. Lam WS, Liew KF, Lam WH (2019) Investigation on the performance of construction companies in Malaysia with entropy-TOPSIS model. IOP Conf Ser Earth Environ Sci 385:012006

    Google Scholar 

  22. Charnes A, Cooper W, Ferguson R (1955) Optimal estimation of executive compensation by linear programming. Manag Sci 1(2):138–151

    Article  MathSciNet  Google Scholar 

  23. Winston W (2003) Operations research: applications and algorithms. Cengage Learning, Boston

    Google Scholar 

  24. Lam WS, Jaaman SH, Lam WH (2019) Enhanced index tracking with entropy maximization. Adv Appl Stat 53(3):243–258

    MATH  Google Scholar 

  25. Lam WS, Jaaman SH, Lam WH (2017) Enhanced index tracking in portfolio optimization with two-stage mixed integer programming model. J Fundam Appl Sci 9(5S):1–12

    Article  Google Scholar 

  26. Lam WS, Jaaman SH, Lam WH (2019) An enhanced mean-gini extended model in portfolio optimization with different level of risk aversion. ASM Sci J 12(6):41–46

    Google Scholar 

  27. Lam WS, Jaaman SH, Lam WH (2020) Portfolio optimization of financial companies with fuzzy TOPSIS-mean-semi absolute deviation model. J Adv Res Dyn Control Syst 12(4S):1488–1495

    Google Scholar 

  28. Lam WS, Liew KF, Lam WH (2018) Investigation on the efficiency of financial companies in Malaysia with data envelopment analysis model. J Phys Conf Ser 995:012021

    Article  Google Scholar 

  29. Lam WS, Liew KF, Lam WH (2018) An optimal control on the efficiency of technology companies in Malaysia with data envelopment analysis model. J Telecommun Electron Comput Eng 10(1):107–111

    Google Scholar 

  30. Lam WS, Jaaman SH, Ismail H (2015) An empirical comparison of different optimization models in enhanced index tracking problem. Adv Sci Lett 21(5):1278–1281

    Article  Google Scholar 

  31. Lam WS, Jaaman SH, Ismail H (2015) The impact of human behaviour towards portfolio selection in Malaysia. Procedia Soc Behav Sci 172:674–678

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lam Weng Siew .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Siew, L.W., Hoe, L.W., Wai, C.J. (2021). Optimization on the Financial Management of Banks with Two-Stage Goal Programming Model. In: Alfred, R., Iida, H., Haviluddin, H., Anthony, P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 724. Springer, Singapore. https://doi.org/10.1007/978-981-33-4069-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-4069-5_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4068-8

  • Online ISBN: 978-981-33-4069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics