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A Guide to Behavioural Modelling
Discipline: Quantitative Analysis, Regulation, Investing
No of pages: 596
First published:
ISBN: 978-1-78272-404-9
Client behaviour deeply affects a bank’s liquidity, funding, interest rate position and, consequently, the management of its asset/liability mismatch and related profitability. Therefore, it is imperative that risk managers and modellers alike understand how to model client behaviour according to the needs of their business. It is the aim of this book to improve that understanding and highlight modelling techniques from the simple through to the complex, offering a broad suite of tools to improve the management of an institution’s balance sheet.
Matteo Formenti and Umberto Crespi of UniCredit Group have gathered together chapter authors from across the globe who are all experts in their field. This book will aim to explain in a simple and effective way how it is possible to model client behaviour for the proper management of an institution’s balance sheet, and to expand readers’ knowledge of the drivers behind behavioural models.
Contents
Introduction
Insights on Banks’ Recourse to Behavioural Models from a Focused IRRBB Stress Test
Implementing Regulatory Guidance on IRRBB Behavioural Models: Challenges and Opportunities
The Stakeholders of Interest Rate Risk Behavioural Models
Governance of Behavioural Models
The Nature of IRRBB and Typical Metrics Employed
A Framework for Developing NMD Behavioural Models
The Literature on NMD Behavioural Models
Interest Rate Risk of Non-maturity Bank Accounts: From Marketing to Hedging Strategy
NMDs and IRRBB: A Methodological Proposal for a Behavioural Model
NMD Modelling: A Financial Wealth Allocation Approach
A Benchmark Framework for NMDs: An Application
NMD Behavioural Models Used in Marketing
The Validation of NMD Behavioural Models
The Choice of Maturity Profile in NMD Behavioural Models
Acknowledging the Elephant in the Room: The Mismatch Centre
Prepayment Risk Modelling for ALM, Finance and FTP: A Survival Model
Modelling of Prepayment on Fixed Rate Residential Mortgages: A Logistic Regression Approach
A Simple Approach to Modelling Prepayment Events
Integrating Credit Risk within the ALM Framework
Modelling Committed Credit Lines
Accounting of the Sight Deposit and Hedging