Interest Rate Risk of Non-maturity Bank Accounts: From Marketing to Hedging Strategy
Andreas Blöchlinger
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
This chapter presents a coherent management framework for non-maturity accounts to derive the hedging strategy from the marketing strategy to generate stable net interest income. Our framework consists of three building blocks: (i) a discrete-time dynamic term structure model for the evolution of interest rates; (ii) an ordinal logistic regression for the bank’s pricing behaviour; and (iii) an autoregressive process with external variables for the customers’ withdrawal and prepayment behaviour. All blocks are based on the same periodic frequency. Hence, we can easily put them together for valuation under various interest rate and marketing assumptions, and to build the dynamic hedging strategy.
Managing the interest rate risk of non-maturity bank accounts to produce stable income, regardless of short-term movements in interest rates, is the not so simple task of the asset–liability management (ALM) department. As all modelling blocks in the framework are based on the same periodic frequency, eg, monthly time steps, we can easily put them together by means of Monte Carlo simulations for valuing non-maturity accounts in various interest rate environments and marketing assumptions
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