Operational Risk Management: A Practical Approach to Intelligent Data Analysis / Edition 1

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $78.45
Usually ships in 1-2 business days
(Save 34%)
Other sellers (Hardcover)
  • All (12) from $78.45   
  • New (10) from $94.10   
  • Used (2) from $78.45   


The book will introduce modern Operation Risk (OpR) Management and illustrates the various sources of OpR assessment and OpR mitigation. This book discusses how various data sources can be integrated and analyzed and how OpR is synergetic to other risk management activities such as Financial Risk Management and Internationalization. The topics will include state of the art technology such as semantic analysis, ontology engineering, data mining and statistical analysis.
Read More Show Less

Product Details

  • ISBN-13: 9780470747483
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 12/28/2010
  • Series: Statistics in Practice Series
  • Edition number: 1
  • Pages: 324
  • Product dimensions: 6.10 (w) x 9.30 (h) x 0.90 (d)

Table of Contents




Notes on Contributors

List of Acronyms


1 Risk Management: A General View

R. Kenett, R. Pike and Y. Raanan

1.1 Introduction

1.2 Definitions of risk

1.3 Impact of risk

1.4 Types of risk

1.5 Enterprise risk management

1.6 State of the art in enterprise risk management

1.7 Summary


2 Operational Risk Management: An Overview

Y. Raanan, R. Kenett and R. Pike

2.1 Introduction

2.2 Definitions of operational risk management

2.3 Operational risk management techniques

2.4 Operational risk statistical models

2.5 Operational risk measurement techniques

2.6 Summary



3 Ontology-Based Modelling and Reasoning in Operational Risks

C. Leibold, H.-U. Krieger and M. Spies

3.1 Introduction

3.2 Generic and axiomatic ontologies

3.3 Domain-independent ontologies

3.4 Standard reference ontologies

3.5 Operational risk management

3.6 Summary


4 Semantic Analysis of Textual Input

H. Saggion, T. Declerck and K. Bontcheva

4.1 Introduction

4.2 Information extraction

4.3 The General Architecture for Text Engineering

4.4 Text analysis components

4.5 Ontology support

4.6 Ontology-based information extraction

4.7 Evaluation

4.8 Summary


5 A Case Study of ETL for Operational Risks

V. Grossi and A. Romei

5.1 Introduction

5.2 ETL (Extract, Transform and Load)

5.3 Case study specification

5.4 The ETL-based solution

5.5 Summary


6 Risk-Based Testing of Web Services

X. Bai and R. Kenett

6.1 Introduction

6.2 Background

6.3 Problem statement

6.4 Risk assessment

6.5 Risk-based adaptive group testing

6.6 Evaluation

6.7 Summary



7 Scoring Models for Operational Risks

P. Giudici

7.1 Background

7.2 Actuarial methods

7.3 Scorecard models

7.4 Integrated scorecard models

7.5 Summary


8 Bayesian Merging and Calibration for Operational Risks

S. Figini

8.1 Introduction

8.2 Methodological proposal

8.3 Application

8.4 Summary


9 Measures of Association Applied to Operational Risks

R. Kenett and S. Salini

9.1 Introduction

9.2 The arules R script library

9.3 Some examples

9.4 Summary



10 Operational Risk Management beyond AMA: New Ways to Quantify Non-recorded Losses

G. Aprile, A. Pippi and S. Visinoni

10.1 Introduction

10.2 Non-recorded losses in a banking context

10.3 Methodology

10.4 Performing the analysis: a case study

10.5 Summary


11 Combining Operational Risks in Financial Risk Assessment Scores

M. Munsch, S. Rohe and M. Jungemann-Dorner

11.1 Interrelations between financial risk management and operational risk management

11.2 Financial rating systems and scoring systems

11.3 Data management for rating and scoring

11.4 Use case: business retail ratings for assessment of probabilities of default

11.5 Use case: quantitative financial ratings and prediction of fraud

11.6 Use case: money laundering and identification of the beneficial owner

11.7 Summary


12 Intelligent Regulatory Compliance

M. Spies, R. Gubser and M. Schacher

12.1 Introduction to standards and specifications for business governance

12.2 Specifications for implementing a framework for business governance

12.3 Operational risk from a BMM/SBVR perspective

12.4 Intelligent regulatory compliance based on BMM and SBVR

12.5 Generalization: capturing essential concepts of operational risk in UML and BMM

12.6 Summary


13 Democratisation of Enterprise Risk Management

P. Lombardi, S. Piscuoglio, R. Kenett, Y. Raanan and M. Lankinen

13.1 Democratisation of advanced risk management services

13.2 Semantic-based technologies and enterprise-wide risk management

13.3 An enterprise-wide risk management vision

13.4 Integrated risk self-assessment: a service to attract customers

13.5 A real-life example in the telecommunications industry

13.6 Summary


14 Operational Risks, Quality, Accidents and Incidents

R. Kenett and Y. Raanan

14.1 The convergence of risk and quality management

14.2 Risks and the Taleb quadrants

14.3 The quality ladder

14.4 Risks, accidents and incidents

14.5 Operational risks in the oil and gas industry

14.6 Operational risks: data management, modelling and decision making

14.7 Summary



Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)