IDEAS home Printed from https://ideas.repec.org/a/idp/bizinf/y2014i1p102_108.html
   My bibliography  Save this article

Model of Assessment of Operational Risk Linked with a Working Day of Bank Personnel

Author

Listed:
  • Ivanov Volodymyr M.

    (Classic Private University)

Abstract

The article conducts analysis of works of both domestic and foreign scientists, connected with development of risk models in bank activity. It reveals specific features and formulates urgency of development of a model and method of assessment of the operational risk with consideration of fuzzy values. Depending on the nature of the field of identification of fuzzy variables, the article underlines linguistic variables, for which the top and bottom boundaries are determined. The article offers a structural model of assessment of the operational risk, based on the system of fuzzy conclusion, where each term set confronts with a relevant linguistic variable. The process of transformation of qualitative assessments into fuzzy values lies in reflection of the elements of the initial term set in the form of building the belonging functions. The article formulates bases of rules of the fuzzy conclusion system. Results of modelling the assessment of the operational risk are represented in the form of the procedure of fuzzy conclusion and surface with consideration of input linguistic variables.

Suggested Citation

  • Ivanov Volodymyr M., 2014. "Model of Assessment of Operational Risk Linked with a Working Day of Bank Personnel," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 1, pages 102-108.
    • Handle: RePEc:idp:bizinf:y:2014:i:1:p:102_108
    as

    Download full text from publisher

    File URL: https://www.business-inform.net/pdf/2014/1_0/102_108.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jianmin Jia & James S. Dyer, 1996. "A Standard Measure of Risk and Risk-Value Models," Management Science, INFORMS, vol. 42(12), pages 1691-1705, December.
    Full references (including those not matched with items on IDEAS)

    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. Desai, Jitamitra & Sen, Suvrajeet, 2010. "A global optimization algorithm for reliable network design," European Journal of Operational Research, Elsevier, vol. 200(1), pages 1-8, January.
    2. Brogan, Anita J. & Stidham Jr., Shaler, 2008. "Non-separation in the mean-lower-partial-moment portfolio optimization problem," European Journal of Operational Research, Elsevier, vol. 184(2), pages 701-710, January.
    3. He, Ying & Dyer, James S. & Butler, John C. & Jia, Jianmin, 2019. "An additive model of decision making under risk and ambiguity," Journal of Mathematical Economics, Elsevier, vol. 85(C), pages 78-92.
    4. Yang, Jiping & Qiu, Wanhua, 2005. "A measure of risk and a decision-making model based on expected utility and entropy," European Journal of Operational Research, Elsevier, vol. 164(3), pages 792-799, August.
    5. Yitong Wang & Tianjun Feng & L. Keller, 2013. "A further exploration of the uncertainty effect," Journal of Risk and Uncertainty, Springer, vol. 47(3), pages 291-310, December.
    6. Albrecht, Peter, 2003. "Risk measures," Papers 03-01, Sonderforschungsbreich 504.
    7. Janne Gustafsson & Ahti Salo, 2005. "Contingent Portfolio Programming for the Management of Risky Projects," Operations Research, INFORMS, vol. 53(6), pages 946-956, December.
    8. Valeri Zakamouline, 2014. "Portfolio performance evaluation with loss aversion," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 699-710, April.
    9. Jianmin Jia & James S. Dyer & John C. Butler, 1999. "Measures of Perceived Risk," Management Science, INFORMS, vol. 45(4), pages 519-532, April.
    10. Philippe Delquié & Alessandra Cillo, 2006. "Disappointment without prior expectation: a unifying perspective on decision under risk," Journal of Risk and Uncertainty, Springer, vol. 33(3), pages 197-215, December.
    11. Elke U. Weber & Christopher Hsee, 1998. "Cross-Cultural Differences in Risk Perception, but Cross-Cultural Similarities in Attitudes Towards Perceived Risk," Management Science, INFORMS, vol. 44(9), pages 1205-1217, September.
    12. repec:cup:judgdm:v:3:y:2008:i::p:317-324 is not listed on IDEAS
    13. Amy V. Puelz, 2002. "A Stochastic Convergence Model for Portfolio Selection," Operations Research, INFORMS, vol. 50(3), pages 462-476, June.
    14. Andrea C. Hupman & Jay Simon, 2023. "The Legacy of Peter Fishburn: Foundational Work and Lasting Impact," Decision Analysis, INFORMS, vol. 20(1), pages 1-15, March.
    15. Craig W. Kirkwood, 2004. "Approximating Risk Aversion in Decision Analysis Applications," Decision Analysis, INFORMS, vol. 1(1), pages 51-67, March.
    16. Trappey, Charles V. & Shih, Tsui-Yii & Trappey, Amy J.C., 2007. "Modeling international investment decisions for financial holding companies," European Journal of Operational Research, Elsevier, vol. 180(2), pages 800-814, July.
    17. Gürtler, Marc & Hartmann, Nora, 2003. "Behavioral dividend policy," Working Papers FW04V1, Technische Universität Braunschweig, Institute of Finance.
    18. Cillo, Alessandra & Delquié, Philippe, 2014. "Mean-risk analysis with enhanced behavioral content," European Journal of Operational Research, Elsevier, vol. 239(3), pages 764-775.
    19. Xie, Yuxin & Hwang, Soosung & Pantelous, Athanasios A., 2018. "Loss aversion around the world: Empirical evidence from pension funds," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 52-62.
    20. Thierry Chauveau, 2012. "Subjective risk and disappointment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00747902, HAL.
    21. Roland T. Rust & J. Jeffrey Inman & Jianmin Jia & Anthony Zahorik, 1999. "What You Know About Customer-Perceived Quality: The Role of Customer Expectation Distributions," Marketing Science, INFORMS, vol. 18(1), pages 77-92.

    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:idp:bizinf:y:2014:i:1:p:102_108. 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: Khaustova Viktoriia (email available below). General contact details of provider: https://www.business-inform.net .

    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.