Professional Course

Credit Portfolio Risk Management

Euromoney Learning, In London
Length
4 days
Price
4.89 GBP + tax
Next course start
9 September, 2024 See details
Delivery
Classroom
Length
4 days
Price
4.89 GBP + tax
Next course start
9 September, 2024 See details
Delivery
Classroom
This provider usually responds within 48 hours 👍

Course description

Credit Portfolio Risk Management

This course is designed to help participants understand the significant components and features of credit portfolio modelling and management (CPM). The aim is to elucidate how a broad range of risk modelling and risk assessment approaches can be brought together to enable risk-based pricing and assessment—ultimately enabling portfolio managers to choose investments based upon fundamentals as well as market dynamics. During the course, the instructor—a former senior executive, board member and CRO of a large, emerging markets, publicly-listed banking group—will also endeavor to offer his experience in developing CPM techniques to fit the emerging markets landscape. This would include discussions of how the CPM framework can be developed in lieu of a complete systems architecture, when credit reference and credit rating bureaus are not available and when data and past history on customers is sparse. Primary focus is also given to best-practice and to quantitative methods that are actually demonstrated to work in practice across many of the 40 countries and 4 continents in which instructor has direct experience.

Upcoming start dates

1 start date available

9 September, 2024

  • Classroom
  • London
  • English

Training content

Day 1

  • Overview of Credit Portfolio Management
  • What Credit Portfolio Management boils down to
  • The Traditional (Commercial Bank) Credit Portfolio model
  • The Credit Portfolio Model
  • The Credit ALCO and other key parties

Day 2

  • Setting up a CPRM Function
  • Risk Adjusted Performance Measurement (RAPM)
  • Summary and Best-Practice on RAPM
  • Developing Analytics to Support RAPM
  • The Basel Back drop
  • Numerical Examples
  • Portfolio Dynamics
  • PD estimation
  • Loss given default measurement (LGD)
  • Exposure at default (EAD)

Day 3

  • Risk Component Backtesting
  • Developing the Retail and SME scoring models
  • Expected Loss (EL) and Unexpected Loss (UL) for Single exposures
  • Using your risk model for capital allocation
  • Developing a Risk-adjusted-performance measurement (RAPM) system

Day 4

  • EL and UL for Portfolios
  • Portfolio stress testing, provisioning and recapitalisation

Costs

Course fee: £4495 + VAT

Certification / Credits

  • The elements necessary for internally developing and testing a ratings and scoring system that can be used with various exposure types—including privately listed, small to medium-sized enterprises (SMEs)
  • How to integrate a quantitative, credit scoring platform with a qualitative ratings system in Basel II/III-compliance fashion
  • How to develop the necessary CPM databases for estimating and validating scoring models and risk components, such as Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD)
  • Portfolio-level measures of risk, including measures of concentration using Copulae, tail dependence and other advanced measures
  • How to use Monte Carlo simulation and basic programming to develop and test scoring models and to model portfolio dependence, persistence, dynamics and stress-testing
  • How to use this integrated system in both origination and portfolio management activities
  • How to assess Expected Loss (EL) for provisioning and Unexpected Loss (UL) for capital allocation—both on a standalone and portfolio basis
  • How to create a Risk-Adjusted-Performance-Measurement (RAPM, aka RAROC) system

Why choose Euromoney Learning?

4.6/5 rating on course check for service

60,000 professionals trained across public courses

80+ countries where training is delivered

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Euromoney Learning

At Euromoney Learning, we understand that learning doesn’t start and end when you leave the classroom. We know that the financial markets never stand still, and that technology has both simplified and added complexity at a break-neck pace. That’s why...

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