IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v52y2018i2d10.1007_s10614-017-9683-7.html
   My bibliography  Save this article

Multi Criteria Decision Making in Financial Risk Management with a Multi-objective Genetic Algorithm

Author

Listed:
  • Sujatha Srinivasan

    (VELS University)

  • T. Kamalakannan

    (VELS University)

Abstract

A huge amount of data is being collected and stored by financial institutions like banks during their operations. These data contain the most important facts about the institutions and its customers. A good and efficient data analytics system can find patterns in this huge data source that can be used in actionable knowledge creation. Actionable knowledge is the knowledge that can be put to decision making and take some positive action towards better performance of organizations. This actionable knowledge is termed Business Intelligence by data scientists. Business Intelligence and Analytics is the process of applying data mining techniques to organizational or corporate data to discover patterns. Business Intelligence and Business Analytics are emerging as important and essential fields both for data scientists and organizations. Risk analysis, fraud detection, customer retention, customer satisfaction analysis and actuarial analysis are some of the areas of application of business intelligence and analytics. Credit risk analysis is an important part of a successful financial institution particularly in the banking sector. The current study takes this risk analysis in financial institutions and reviews the state of the art in using data analytics or data mining techniques for financial risk analysis. The analysis of risk from financial data depends on several factors that are both objective and subjective. Hence it is a multi-criteria decision problem. The study also proposes a multi-objective genetic algorithm (MOGA) for analyzing financial data for risk analysis and prediction. The proposed MOGA is different from other evolutionary systems in that a memory component to hold the rules is added to the system while other systems in the literature are memory less. The algorithm is applied to bench mark data sets for predicting the decision on credit card and credit applications. The preliminary results are encouraging and show light towards better decision making in reducing risks.

Suggested Citation

  • Sujatha Srinivasan & T. Kamalakannan, 2018. "Multi Criteria Decision Making in Financial Risk Management with a Multi-objective Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 443-457, August.
    • Handle: RePEc:kap:compec:v:52:y:2018:i:2:d:10.1007_s10614-017-9683-7
    DOI: 10.1007/s10614-017-9683-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10614-017-9683-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10614-017-9683-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rajkamal Iyer & Manju Puri & Nicholas Ryan, 2016. "A Tale of Two Runs: Depositor Responses to Bank Solvency Risk," Journal of Finance, American Finance Association, vol. 71(6), pages 2687-2726, December.
    2. Desheng Wu, 2016. "Risk management and operations research: a review and introduction to the special volume," Annals of Operations Research, Springer, vol. 237(1), pages 1-5, February.
    3. Desheng Wu, 2016. "Risk management and operations research: a review and introduction to the special volume," Annals of Operations Research, Springer, vol. 237(1), pages 1-5, February.
    4. Sarlin, Peter, 2016. "Macroprudential oversight, risk communication and visualization," Journal of Financial Stability, Elsevier, vol. 27(C), pages 160-179.
    5. Aida Krichene Abdelmoula, 2015. "Bank Credit Risk Analysis with K-Nearest-Neighbor Classifier: Case of Tunisian Banks," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 14(1), pages 79-106, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yalcin, Ahmet Selcuk & Kilic, Huseyin Selcuk & Delen, Dursun, 2022. "The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zeng, Qing & Lu, Xinjie & Xu, Jin & Lin, Yu, 2024. "Macro-Driven Stock Market Volatility Prediction: Insights from a New Hybrid Machine Learning Approach," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    2. Brunetti, M. & Ciciretti, R. & Djordjevic, Lj., 2016. "The determinants of household’s bank switching," Journal of Financial Stability, Elsevier, vol. 26(C), pages 175-189.
    3. Ippolito, Filippo & Peydró, José-Luis & Polo, Andrea & Sette, Enrico, 2016. "Double bank runs and liquidity risk management," Journal of Financial Economics, Elsevier, vol. 122(1), pages 135-154.
    4. Carletti, Elena & De Marco, Filippo & Ioannidou, Vasso & Sette, Enrico, 2021. "Banks as patient lenders: Evidence from a tax reform," Journal of Financial Economics, Elsevier, vol. 141(1), pages 6-26.
    5. Allen N. Berger & Martien Lamers & Raluca A. Roman & Koen Schoors, 2023. "Supply and Demand Effects of Bank Bailouts: Depositors Need Not Apply and Need Not Run," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(6), pages 1397-1442, September.
    6. Ayesha Afzal & Nawazish Mirza & Fatima Arshad, 2021. "Market discipline in South Asia: Evidence from commercial banking sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2251-2262, April.
    7. Haelim Anderson & Daniel Barth & Dong Beom Choi, 2018. "Reducing Moral Hazard at the Expense of Market Discipline: The Effectiveness of Double Liability Before and During the Great Depression," Working Papers 18-06, Office of Financial Research, US Department of the Treasury.
    8. Sümeyra Atmaca & Karolin Kirschenmann & Steven Ongena & Koen Schoors, 2023. "Implicit and Explicit Deposit Insurance and Depositor Behavior," CRC TR 224 Discussion Paper Series crctr224_2023_476, University of Bonn and University of Mannheim, Germany.
    9. Haq, Mamiza & Ongena, Steven & Pu, Juying & Tan, Eric K.M., 2024. "Do banks engage in earnings management? The role of dividends and institutional factors," Journal of Banking & Finance, Elsevier, vol. 168(C).
    10. Prateek Sharma, 2024. "Loan loss provisions and the deposit rates yield curve at US banks," SN Business & Economics, Springer, vol. 4(8), pages 1-24, August.
    11. Maximilian Grimm, 2024. "The Effect of Monetary Policy on Systemic Bank Funding Stability," ECONtribute Discussion Papers Series 341, University of Bonn and University of Cologne, Germany.
    12. Atmaca, Sümeyra & Schoors, Koen & Verschelde, Marijn, 2020. "Bank loyalty, social networks and crisis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    13. Danisewicz, Piotr & Lee, Chun Hei & Schaeck, Klaus, 2022. "Private deposit insurance, deposit flows, bank lending, and moral hazard," Journal of Financial Intermediation, Elsevier, vol. 52(C).
    14. Kristian Blickle & Markus Brunnermeier & Stephan Luck, 2024. "Who Can Tell Which Banks Will Fail?," The Review of Financial Studies, Society for Financial Studies, vol. 37(9), pages 2685-2731.
    15. International Association of Deposit Insurers, 2021. "Deposit Insurance Coverage Level and Scope," IADI Research Papers 21-12, International Association of Deposit Insurers.
    16. Diepstraten, Maaike & van der Cruijsen, Carin, 2019. "To stay or go? Consumer bank switching behaviour after government interventions," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 16-33.
    17. Clément Mazet-Sonilhac & Jean-Stéphane Mésonnier, 2024. "Some Don't Like It Hot: Bank Depositors and NGO Campaigns Against Brown Banks," SciencePo Working papers Main hal-04350378, HAL.
    18. Mark E. Paddrik & Richard Haynes & Andrew E. Todd & William T. Scherer & Peter A. Beling, 2016. "Visual analysis to support regulators in electronic order book markets," Environment Systems and Decisions, Springer, vol. 36(2), pages 167-182, June.
    19. König-Kersting, Christian & Trautmann, Stefan T. & Vlahu, Razvan, 2022. "Bank instability: Interbank linkages and the role of disclosure," Journal of Banking & Finance, Elsevier, vol. 134(C).
    20. Yavuz Arslan & Ahmet Degerli & Gazi Kabas, 2019. "Unintended Consequences of Unemployment Insurance Benefits: The Role of Banks," Swiss Finance Institute Research Paper Series 19-44, Swiss Finance Institute.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:52:y:2018:i:2:d:10.1007_s10614-017-9683-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.