Rethinking Risk Measurement and Reporting: Volume I - Risk Books
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Rethinking Risk Measurement and Reporting: Volume I

Edited By Klaus Böcker

Overview

The 2007-9 crisis highlighted the dangers of dependence on risk quantification and the importance of taking measurement uncertainty into account. Today, risk managers recognise the need to rethink the way they measure and control risk, and how their findings inform decision-making. Rethinking Risk Measurement and Reporting (Volumes I and II) speaks to these needs, providing the techniques and tools for a more effective risk management framework.


Please note when purchasing Volume I and Volume II separately the price will be £145 each, in order to get both volumes for £195 please click here


“...definitely a must-read for those looking for new ideas to revive the dented axioms of risk management.”


Andrea Resti, Bocconi University

Publish date: 8 Nov 2010

Availability: In stock

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Book - Rethinking Risk Measurement and Reporting: Volume I
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eBook - Rethinking Risk Measurement and Reporting: Volume I
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Book description

Model uncertainty must be accepted as an intrinsic part of risk measurement. This insight is the starting point for Rethinking Risk Measurement and Reporting, which identifies how uncertainty of risk figures can be better understood and expressed and how expert judgement can be absorbed into the fabric of modern risk management.

Edited by Klaus Böcker and published in two volumes, Rethinking Risk Measurement and Reporting, will raise the reader’s awareness of model and parameter uncertainty when using mathematical models in financial risk management.

This first volume, “Uncertainty, Bayesian Analysis and Expert Judgement”, is divided into four sections, providing a thorough and rigorous introduction to Bayesian analysis and expert judgment, before moving to more technical content focusing on including stress testing and risk aggregation. A final section is devoted to fundamentals, issues of risk management, such as the nature of risk and cognitive aspects of uncertainty, and also includes reflections and insights from experienced risk managers and regulators, drawing on their experiences of the crisis.

In each section of this volume, emphasis is placed on practice rather than theory. Important issues covered are:

  • An Introduction to Bayesian Analysis
  • Expert Judgement
  • Stress Testing and Risk Aggregation
  • Dependence Modeling
  • Asset Allocation
  • Reporting, Decision Making and Regulation

Klaus Böcker has assembled leading practitioners and academics within risk management fraternity to provide a comprehensive and integrated approach for improving existing risk measurement, management and reporting. This first volume includes the PRMIA 2010 award winning paper as the chapter “Bayesian Risk Aggregation: Correlation Uncertainty and Expert Judgement”.

The experience collected in this book is invaluable and makes this a must read for everyone working in the financial industry, particularly in risk management.

Please note when purchasing Volume I and Volume 2 separately the price will be £145 each, in order to get both volumes for £195 please click here

Book details

ISBN
Book 9781906348403 / EBook 9781908823243
Publish date
8 Nov 2010
Format
Paperback
Size
155mm x 235mm

Editor biography

Klaus Böcker

Klaus Böcker works as a senior risk controller in UniCredit Group and is the team head of Risk Analytics and Methods. In this capacity, one of his primary responsibilities is overseeing all quantitative aspects of UniCredit Group’s economic capital model, in particular business risk, real-estate risk, financial investment risk and risk aggregation.

Klaus is also a research fellow at the Center for Mathematical Sciences at the Technische Universität München. He is conducting research in various fields of finance where he has authored and co-authored several articles that have been published in various recognized finance and mathematical journals.

Klaus is also a frequent speaker at international risk conferences and at seminars about risk management and quantitative finance. In 2007, 2008 and 2010, he won the PRMIA Institute’s Award for New Frontiers in Risk Management related to his research activities. In August 2007, Klaus was inducted by his peers as a charter member of the international Risk Who’s Who honor society. He holds a degree in Theoretical Physics and a PhD in Mathematics from the Technische Universität München.

Table of contents

About the Editor

About the Authors

Foreword

Introduction

PART I AN INTRODUCTION TO BAYESIAN ANALYSIS

1 On Bayesian Data Analysis

Christian P. Robert, Judith Rousseau

Université Paris-Dauphine

2 On Computational Tools for Bayesian Data Analysis

Christian P. Robert; Jean-Michel Marin

Université Paris-Dauphine; Université Montpellier 2

3 Bayesian Analysis of the Normal Regression Model

Ioannis Ntzoufras

Athens University of Economics and Business

4 Market Correlations in the Euro Changeover Period with a View to Portfolio Management

Gernot Müller

Technische Universität München

5 Robustification of Bayesian Portfolio Allocation

Katrin Schöttle; Ralf Werner; Rudi Zagst

MEAG MUNICH ERGO AssetManagement GmbH; Deutsche Pfandbriefbank AG; Technische Universität München

PART II EXPERT JUDGEMENT

6 Eliciting Univariate Probability Distributions

Jeremy E. Oakley

University of Sheffield

7 Eliciting Multivariate Probability Distributions

Alireza Daneshkhah; Jeremy E. Oakley

University of Strathclyde; University of Sheffield

8 Multiple Dependent Experts’ Opinions: An Illustration from Operational-Risk Measurement

Jean-Philippe Peters

Deloitte

PART III STRESS TESTING, DEPENDENCE MODELLING, RISK AGGREGATION AND ALLOCATION

9 A Bayesian Approach to Coherent Stress Testing

Riccardo Rebonato

Royal Bank of Scotland, Risk Management and Quantitative Analytics, Oxford University, Imperial College, London

10 The Limits of Securitisation: Micro-correlations, Fat Tails and Tail Dependence

Carolyn Kousky; Roger M. Cooke

Resources for the Future; Resources for the Future and Delft University of Technology

11 Vines and Continuous Non-parametric Bayesian Belief Nets with Emphasis on Model Learning

Dorota Kurowicka; Roger M. Cooke

Delft University of Technology; Resources for the Future and Delft University of Technology

12 Bayesian Risk Aggregation: Correlation Uncertainty and Expert Judgement

Klaus Böcker, Alessandra Crimmi; Holger Fink

Risk Analytics and Methods, UniCredit Group; Technische Universität München

13 Bayesian Approaches for Portfolio Construction: A Review

Daniel Giamouridis

Athens University of Economics and Business and Cass Business School

PART IV REPORTING, DECISION MAKING AND REGULATION

14 Regulators under Uncertainty: The Impact of Model Uncertainty and Information Asymmetry

An Chen; Xia Su

University of Bonn; Commerzbank

15 The Psychology of Risk Management

Gaëlle Villejoubert, Frédéric Vallée-Tourangeau

Kingston University

16 What Is Risk? Towards a Unifying Approach

Terje Aven

University of Stavanger, Norway

17 Amalgamating Bayesian Experts: A Sceptical View

Joseph B. Kadane

Carnegie Mellon University

18 The Model and the Manager: Risks Identified and Resolved?

Sebastian Fritz-Morgenthal

HSH Nordbank, Hamburg

19 Re-Thinking Valuation: The Credit Crisis, Illiquid Markets and Model Risk

Dan Rosen

R2 Financial Technologies

20 Why Banks Failed the Stress Test

Andrew G. Haldane

Bank of England

Testimonials

“This volume offers the reader an introduction to Bayesian analysis followed by the consideration of techniques for eliciting and weighting expert judgments. Incorporating seasoned judgment and a greater appreciation of what we do not and cannot know about the future will be a long and arduous journey, but as the Chinese philosopher Lao-tzu said: “A journey of a thousand miles begins with a single step.” Hopefully, this book represents a first step on this much needed transformation of the practice of risk management.”

David M. Rowe, Risk Advisory

“Rethinking Risk Measurement and Reporting is an important new collection of essays thst should have a significant impact on the practice of risk management in many fields. In particular, as the world tries to learn the lessons of the global financial crisis of 2007-9 this book should be required reading for both regulatory agencies and financial institutions.

Klaus Böcker has created a well-organised and balanced development, with chapters written by some outstanding thinkers and researchers. His ?Introduction’ displays his own careful thought and makes a powerful case for adopting the tools of Bayesian analysis and expert judgement. The over-arching theme is uncertainty: uncertainty as the driver of risk, uncertainty and probability as the language of Bayesian statistics, and the role of expert judgement in quantifying and mitigating uncertainty.

Risk is a multidisciplinary field, and Rethinking Risk Measurement and Reporting will be of interest to statisticians, psychologists and mathematical modellers, as well as to risk professionals.”

Tony O’Hagan, University of Sheffield

“The current financial crisis is a wake up call for risk measurement methodology. This book takes up the gauntlet and presents a broad array of papers addressing issues from the realm of uncertainty and risk relevant for banking and finance. As to be expected, the Bayesian paradigm figures prominently. Risk managers from academia to practice will highly welcome this volume.”

Paul Embrechts, Director of RiskLab, ETH Zurich.

“The financial crisis has clearly shown the dangers of overreliance on pure quantitative models, and there is now a widespread awareness that algorithms must be carefully calibrated through expert judgement. Yet, the latter has weaknesses of its own, unless managed through appropriate techniques and schemes. Award-winner Klaus Böcker, following his path-breaking contributions on Bayesian analysis in risk aggregation, now provides a rigorous yet refreshing book on how risk should be conceived and dealt with in financial institutions: definitely a must-read for those looking for new ideas to revive the dented axioms of risk management.”

Andrea Resti, Bocconi University

“Of the many failings of risk management prior to the crisis of 2007-09, the neglect of parameter uncertainty is perhaps the least forgivable because this uncertainty could have been measured and recognized ex-ante and with available data. Practitioners will find in this book a variety of practicable approaches to rigorous estimation and robust treatment of parameter uncertainty and other forms of model risk.”

Michael Gordy

“Bayesian analysis allows us to consider uncertainty in a rich and subtle way. We are all used to essential unpredictability, but we can also use probability theory to express our doubts about appropriate values for parameters in our models. Then the Bayesian approach goes deeper: encouraging us to confront our ignorance about how the world works and how well our models might be able to mimic what is going on. This book brings together the best researchers into how these deep ideas can benefit financial risk management.”

David Spiegelhalter, Winton Professor of the Public Understanding of Risk, University of Cambridge

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