Credit Risk Assessment, Modelling and Management
This course is beneficial for banking personnel in all areas of credit risk. Others who will benefit include, but are not limited to, asset allocators, portfolio strategists, sovereign wealth fund managers and research staff, risk managers/controllers, private investors and senior back-office personnel. The course is also valuable for those interested in credit modelling and those engaged in compliance with all applicable regulations regarding credit risk in financial institutions.
This Credit Risk Assessment course gives participants a comprehensive overview of the key concepts and methodologies in understanding the drivers of credit risk, modelling tools used for the measurement of credit risk, and current best practice in credit risk management techniques.
The course focuses on the actual practice of credit risk assessment within financial institutions as well as on the quantitative and methodological tools and procedures that are at the cutting edge of measuring, mitigating and managing credit risk.
Treatment of credit risk has shifted greatly since the global financial crisis of 2008. Prior to then, it was considered almost inconceivable that major investment banks and global insurers could default and create a systemic credit and liquidity crisis. Since the crisis there has been a universal re-thinking of most aspects of legacy risk management techniques. Financial regulators and the Basel Committee on Banking Supervision have placed significant emphasis on the need for innovative and more robust methods of modelling financial stress and the kinds of credit market deterioration that was witnessed during the crisis.
By the end of the course, participants will be able to:
- Identify the key elements of credit risk
- Analyze the micro-financial drivers of credit risk and macro-economic factors which impact system-wide credit risk
- Explain modelling techniques for assessing credit risk
- Demonstrate proficiency with different methods and tools for credit scoring
- Demonstrate the usage and risks of credit derivatives
- Apply collateral management techniques to credit derivatives exposures
Module One - Fundamentals of Credit Risk
·
The key macro and micro-financial
concepts behind, and drivers of, credit risk
·
Measurement of credit risk and adverse
outcomes
·
Assessing credit risk and default
probability of loan portfolios
·
Key determinants for managing credit
risk:
·
Credit migration and transition
matrices
·
Fundamental analysis of financial
statements, key ratios, qualitative characteristics of the balance sheet
·
Off-balance sheet and contingent credit
risk
·
Market-based approaches, bond spreads,
swap rates
·
Counterparty credit risk
·
Credit scoring, credit risk modelling,
risk profiling and assessing creditworthiness
Module Two - Credit
Ratings Methodologies and Application
·
Review of rating classifications
systems of the major Credit Rating Agencies (CRAs)
·
The principal credit rating agencies –
Moody’s, Standard & Poor’s, Fitch
·
Overview of the rating methodologies –
issuer analysis, historical data, business cycles
·
Commercial paper ratings
·
Sovereign ratings – approach to
developed markets and emerging markets
·
Conflicts of interest - representing
credit issuers but designed to protect credit purchasers
Module Three - Capital
Charges and Accounting Principles
·
Review of the distinction between the
banking book and the trading book
·
Basel III attempts to address
regulatory arbitrage
·
Treatment of securitizations and
off-balance-sheet exposures
·
Available for Sale issues – impacts on
liquidity, high-quality liquid assets (HQLA), the rigidity of balance sheets
·
Detailed examination of IFRS 9 –
implementation timetable, further revisions?
·
Recognition of expected losses and
early warning of asset impairment
·
Amortized cost – held to maturity
requirements
·
Fair value through other comprehensive
income (FVOCI)
·
Fair value through profit or loss
(FVPL)
Module Four - Counter-Party
Credit
Risk
·
Examine the various facets of credit
risk which hinges on losses sustained from the failure of an obligor to honour
contractual obligations
·
Distinguish the separate components of
credit risk:
·
Probability of default by obligor – how
reliably can it be estimated?
·
Probability of downgrade or widening
credit spreads of counterparty
·
Recovery rate – what percentage of
obligation can be recovered after default?
·
Credit exposure – estimating loss
magnitude about capital buffers
Module Five - Measuring
Credit Risk and Techniques for Credit Risk Modelling
·
Credit Metrics, credit scoring and
credit rating systems
·
Quantitative modelling of credit risk
using stochastic processes
·
Estimating the probability of default – KMV
Model, distance to default techniques
·
Explain how debt and equity can be
understood as options on the firm
·
Techniques for the modelling default risk of
CDO’s, CMO’s and other structured vehicles
·
Lessons from SIVs and other off-balance
sheet financing on credit risk management