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New York Institute of Finance

Advanced Credit Risk Professional Certificate

Available dates

Oct 26—30, 2020
5 days
New York, New York, United States
USD 4796
USD 959 per day
Oct 26—30, 2020
Online
USD 4796

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About the course

A comprehensive survey of credit risk modeling, valuation and credit risk management techniques. Develop models for assessing the value and risk of portfolio credit default swaps, tranche credit index products and various types of collateralized debt obligations.

Prerequisite knowledge:

  • Intermediate MS Excel skills
  • Basic fixed income arithmetic
  • Elementary differential calculus
  • Basic probability and statistics

CURRICULUM

Day 1

MODULE 1: INTRODUCTION

  • What is credit risk?
  • A look at the data: defaults, recoveries, spreads and cycles
  • Conceptual approaches to credit risk modeling: actuarial (objective) models vs 'risk-neutral' or valuation models

MODULE 2: SINGLE ISSUER CREDIT RISK: CREDIT TRANSITION MODELS

  • Credit transition models
  • Commercial implementations: Credit Metrics and the rating agencies

MODULE 3: SINGLE ISSUER CREDIT RISK: STRUCTURAL MODELS

  • Debt and equity as options on the assets of the firm
  • Probability of default (PD) and loss given default (LGD)
  • Expected credit loss is the value of a put option
  • Credit spreads in structural models
  • Bond risk measures in structural models
  • Commercial implementations: Moody's Analytics (MKMV) and Credit Grades
  • Rational ('strategic') default in structural models: subprime mortgages and securitization

Day 2

MODULE 1: SINGLE ISSUER CREDIT RISK: REDUCED FORM MODELS

  • Extracting (risk-neutral) default probabilities form bond prices
  • Hazard rate models of default
  • Credit spreads in reduced form models
  • Bond risk measures in reduced form models
  • A simple default time simulation for a stochastic hazard rate

MODULE 2: SINGLE ISSUER CREDIT DERIVATIVES

  • Total return swaps
  • Asset swaps
  • Credit default swaps
  • Digital CDS
  • Simple trader arithmetic for quick thinking on the trading desk

Day 3

MODULE 1: PORTFOLIO CREDIT RISK: CORRELATED DEFAULTS

  • Correlated firm value (structural models)
  • Correlated intensities (reduced form models)
  • Factor models
  • Copula functions

MODULE 2: VALUE AT RISK FOR CREDIT PORTFOLIOS

  • The larger homogeneous portfolio (LHP) approximation
  • Transition VaR model: Credit Risk +
  • Credit VaR by Monte Carlo: Copula Models and Factor Models

MODULE 3: CAPITAL ALLOCATION FOR CREDIT RISK

  • VaR based risk capital
  • Option theoretic approach to risk capital
  • Regulatory capital
  • RAROC based capital budgeting

Day 4

MODULE 1: REVIEW OF FUNDAMENTALS

  • Credit modeling frameworks
  • Default dependence ('correlation')
  • Copula functions
  • Mechanics of credit default swap (CDS) contracts

MODULE 2: BASKET DEFAULT SWAPS

  • Mechanics of basket trades
  • First-to-default valuation and implied default correlation
  • Higher order default valuation

MODULE 3: COLLATERALIZED DEBT OBLIGATIONS

  • Mechanics of CDO trades: Cash-flow and synthetic structures
  • Tranche valuation and implied default correlation
  • Applying the large homogeneous portfolio (LHP) approximation
  • Implementation of the Gaussian Copula

Day 5

MODULE 1: CDS PORTFOLIO INDICES

  • Mechanics of the standard indices
  • Index valuation
  • ABS, CMBS and Loan CDS Indices

MODULE 2: CDS INDEX TRANCHES

  • Implied default correlation
  • Compound correlation
  • Base correlation
  • Correlation skew
  • Term structure effects

MODULE 3: CDO RISK MANAGEMENT

  • Risks: Idiosyncratic vs systematic
  • The LH+ model
  • Tranche hedging

MODULE 4: PORTFOLIO CREDIT PRODUCTS AND TRADING STRATEGIES

  • Constant proportional portfolio insurance (CPPI)
  • Credit CPPI
  • Constant proportion debt obligations (CPDO)
  • CDO-Squared
  • Credit default swaptions
  • Leveraged super-senior tranches
  • Recovery swaps and locks
  • Capital structure arbitrage

MODULE 5: DESK READY SKILLS KNOWLEDGE CHECK

WHAT YOU'LL LEARN

  • Be aware of the strengths and weaknesses in existing approaches to modeling credit risk
  • Build a simple (rating) transition model for credit risk
  • Use the structural approach to derive default probabilities from equity prices
  • Derive default probabilities from bond prices
  • Understand the mechanics of credit derivatives
  • Understand the relationship between CDS spreads and ASW spreads
  • Use ‘trader arithmetic’ to quickly determine approximations for spreads, risky PV01s, par coupon rates, etc
  • Compute OAS spreads
  • Use the LHP approximation to estimate the VaR of a credit portfolio
  • Be aware of the modeling techniques for default correlation
  • Use a simple Monte Carlo model (provided) for computing the VaR of a credit portfolio
  • Understand the effect of credit risk on other risk measures such as duration
  • Understand the use of RAROC as a capital budgeting and credit risk management tool
  • Develop a sound understanding of CDO structures
  • Infer implied default correlation from basket default swap prices
  • Calculate survival curves for CDO tranches
  • Measure risk sensitivities of CDO tranches
  • Learn how to build a variety of models to price portfolio credit risk

Who should attend

  • Credit analysts

  • credit risk managers

  • risk controllers

  • credit traders and portfolio managers.

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