IDEAS home Printed from https://ideas.repec.org/a/rsk/journ3/6726526.html
   My bibliography  Save this article

Quantification of operational risk: statistical insights on coherent risk measures

Author

Listed:
  • Dany Ng Cheong Vee
  • Preethee Nunkoo Gonpot
  • Thekke Variyam Ramanathan

Abstract

Operational risk is becoming a major part of corporate governance in companies, especially in the financial services industry. In this paper, we review some of the existing methods used to quantify operational risks in the banking and insurance industries. These methods use recent statistical concepts such as extreme value theory and copula modeling. We explore the possibility of using a coherent risk mea- sure – expected shortfall (ES) – to quantify operational risk. The suitability of the suggested risk measures has been investigated with the help of simulated data sets for two business lines. The generalized Pareto distribution is used for modeling the tails, and three distributions – lognormal, Weibull and Gamma – are used for the body data. Our results show that ES under all three distributions tends to be significantly larger than value-at-risk, which may lead to overestimating the operational loss and consequently overestimating the capital charge. However, the modified ES seems to provide a better way of mitigating any overestimation.

Suggested Citation

Handle: RePEc:rsk:journ3:6726526
as

Download full text from publisher

File URL: https://www.risk.net/system/files/digital_asset/2019-06/Quantification_of_operational_risk.pdf
Download Restriction: no
---><---

More about this item

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:rsk:journ3:6726526. 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: Thomas Paine (email available below). General contact details of provider: https://www.risk.net/journal-of-operational-risk .

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.