IDEAS home Printed from https://ideas.repec.org/a/rjr/romjef/vy2011i3p108-131.html
   My bibliography  Save this article

Operational Risk Modelling and Capital Adequacy – are There any Rewards in Greater Complexity?

Author

Listed:
  • Anghelache, Gabriela Victoria

    (Academy of Economic Studies (AES), Bucharest)

  • Cozmanca, Bogdan Octavian

    (Academy of Economic Studies (AES), Bucharest)

  • Radu, Alina Nicoleta

    (Academy of Economic Studies (AES), Bucharest)

Abstract

The paper applies the methodologies proposed by Basel Committee on Banking Supervision for assessing the capital requirements in the context of operational risk to a Romanian commercial bank. The basic indicator, standard and internal measurement approaches (IMA) have been used to asses the capital requirement levels needed to cover the operational risk. The IMA is implemented using the loss distribution methodology (LDA). The capital at risk is computed from the loss distribution that aggregates, using Monte-Carlo simulations, the frequency and loss size distributions, fitted to the empirical data, for each business line and event type pair. Even though IMA is more costly and difficult to implement, it has, in some circumstances, considerable rewards in terms of capital requirements.

Suggested Citation

  • Anghelache, Gabriela Victoria & Cozmanca, Bogdan Octavian & Radu, Alina Nicoleta, 2011. "Operational Risk Modelling and Capital Adequacy – are There any Rewards in Greater Complexity?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-131, September.
  • Handle: RePEc:rjr:romjef:v::y:2011:i:3:p:108-131
    as

    Download full text from publisher

    File URL: http://www.ipe.ro/rjef/rjef3_11/rjef3_2011p108-131.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ming-Cheng WU & I-Cheng LIN & Yi-Ting HUANG & Chang-Rong, 2015. "Forecasting Prices Of Presale Houses: A Real Option Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 143-158, March.

    More about this item

    Keywords

    operational risk; basic indicator approach; standardized approach; internal measurement approach; loss distribution methodology; Monte-Carlo simulation;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions

    Statistics

    Access and download statistics

    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:rjr:romjef:v::y:2011:i:3:p:108-131. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Corina Saman (email available below). General contact details of provider: https://edirc.repec.org/data/ipacaro.html .

    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.