Managing Risks with Data

Ron S. Kenett

KPA Ltd.; University of Turin; NYU Tandon School of Engineering, Center for Finance and Risk Engineering; Institute for Drug Research, School of Phamacy, Hebrew University

November 15, 2013

Assessing exposure to potential risk events and initiating proactive risk mitigation actions is currently a clear priority of businesses, organizations and governments world-wide. Managing risks with data is a growing discipline that involves data acquisition and data merging, risk analytics and risk management decisions support systems. The paper will provide an overview of modern integrated risk management, including examples of how qualitative unstructured data, like text and voice recordings, can be combined with quantitative data like balance sheets and technical performance, to generate integrated risk scores. We suggest that data based risk analysis is an essential competency complementing and reinforcing the more traditional subjective scoring methods used in classical risk management. The examples we will use consist of applications of risk scoring models, Bayesian Networks to map cause and effect, Ontologies to interpret automated text annotation, ETL to merge various data bases and a follow up integrated risk management approach. The main theme of the paper is that risk management can be intuitive, based on qualitative assessments and expert opinions, quantitative in scope, exploit semantic unstructured information or integrated. We aim to show the advantages of integrated data based risk management over the more basic intuitive approach practiced in many organizations.

Number of Pages in PDF File: 9

Keywords: Risk Management, Integrated Risk Management, Risk Scores, Semantic Analysis, Bayesian Networks, Social Networks, Risk Maps.

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Date posted: November 18, 2013  

Suggested Citation

Kenett, Ron S., Managing Risks with Data (November 15, 2013). Available at SSRN: https://ssrn.com/abstract=2355474 or http://dx.doi.org/10.2139/ssrn.2355474

Contact Information

Ron S. Kenett (Contact Author)
KPA Ltd. ( email )
+97297408442 (Phone)
+97297408443 (Fax)
HOME PAGE: http://www.kpa-group.com
University of Turin ( email )
Torino, Turin - Piedmont
HOME PAGE: http://www.unito.it
NYU Tandon School of Engineering, Center for Finance and Risk Engineering ( email )
Brooklyn, NY 11201
United States
HOME PAGE: http://www.poly.edu/academics/departments/finance/people#international

Institute for Drug Research, School of Phamacy, Hebrew University ( email )
Feedback to SSRN

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