Enterprise Risk Management
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Day 1 Registration commences at 8:30 Programme runs from 9:00 - 5:00 daily Introduction and overview: establishing enterprise risk management objectives The motivation for ERM: inside and outside Outside motivations Basel II, Sarbanes-Oxley and IFRS compliance issues as they relate to companies Inside Motivations Profitability and transparency benefits Examples from the Basel II realm Hurdles to ERM establishment and implementation High-level difficulties Senior-management buy-in Conglomerate nightmares Merger problems/benefits Technical difficulties Getting model results for market, credit and operational risk to coincide Difficulties with combining model inputs Difficulties in combining model outputs Solutions and methods for overcoming hurdles Coordination of business units and merger “partners” Concerted methods of obtaining senior management buy-in Exhibiting the benefits to ERM using the bottom line Outlines for implementing ERM Day 2 Corporate governance management Establishing a risk-appetite, capital leverage and a desired credit rating Determining whether you have the internal risk management skills on-hand Establishing an organisational structure Overseeing risk assessment and auditing processes Shaping the risk culture from the top Providing organisational incentives for learning from mistakes Risk-based pricing and line management Risk adjusted performance measurement (RAPM): a primer Various RAPM measures compared and objectives defined Risk-adjusted Return On Capital (RaROC) Risk-adjusted-Return On Risk-Adjusted Capital (RaROROC) RAPM from an individual perspective RAPM from a portfolio perspective RAPM using capital allocations for market, credit and operational risks Examples in Excel Risk analytics Credit risk assessment Assigning ratings via scoring Basel requirements for financial institutions Quantitative approaches Qualitative approaches Probability of Default (PD) and Probability of Event (PE) assignment Scoring facilities Loss Given Default (LGD) and Exposure At Default (EAD) assessment Expected Loss (EL) and Unexpected Loss (UL) assessment EL and UL: provisioning and capital allocation for single exposures EL and UL: provisioning and capital allocation for portfolio exposures Credit Value-at-Risk (CreditVaR) estimation Examples in Excel Day 3 Risk analytics (contd.) Market risk assessment Establishing and using market VaRs Calculating VaR: brief expositions and examples Parametric methods Historical methods Monte Carlo methods Allocating capital in a market risk framework Individual exposures Portfolio-level exposures Examples in Excel Operational risk assessment Establishing and Operational VaR (OpVaR) Calculating the OpVaR Parametric approaches Loss distribution approaches Establishing EL and UL estimates Allocating provisions, insurance and capital Attempts at combining creditVaR, market VaR and OpVaR to assess total capital Risk transfer mechanisms Traditional, financial derivatives Credit derivatives and more exotic products Securitisations and synthetic Collateralised Debt Obligations (CDOs) Day 4 Portfolio management Behaving like a fund manager in establishing objectives and targets Using RAPM Portfolio management in the entire process of making profits Data and IT concerns Establishing the right inputs and outputs for models and assessment systems Managing technology effectively Stakeholder management Some guidance on keeping the crowd happy Case discussion: some episodes where our tools might have been effective Course summary and close
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