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Seminar on "The Cutting Edge of Operational Risk Management"

  • NEURAL CAPITAL
  • Aug 25, 2016
  • 5 min read

THE CUTTING EDGE OF OPERATIONAL RISK MANAGEMENT

SEMINAR CO-DIRECTORS: Dr. RANJAN CHAKRAVARTY and Mr. RAJAT BHATIA

Program Overview

“The Cutting Edge of Operational Risk” is an advanced, 4-day seminar designed specifically for RISK professionals and senior management at global financial and technology firms.

The focus of the seminar is to highlight the “Global Best Practices in Operational Risk”.

A key aspect of this seminar is the “Measurement of Operational Risk in Real Time”, a topic conceptualized for the first time.

Learning Objectives

  • Develop deep insights into the most recent advancements in the Quantification and Management of OPERATIONAL RISK, which is the most complicated area of RISK today, with significant focus from Regulators and Bank CEOs worldwide

  • The Actuarial approach to measurement of RISK and the use of appropriate probability distributions is highlighted during this program

  • The program also focuses on Operational Risk in REAL TIME, a major advancement in RISK practices

Teaching Methodology

  • Very interactive, Instructor led sessions with considerable industry insights based upon real life experience and the importance of managing OPERATIONAL RISK

  • Excel and/ or “R” based hands on RISK modeling

Seminar Outline

1. OPERATIONAL RISK IN CONTEXT

  • Operational Risk & Stranded Capital at major global banks

  • Forces driving the increase in Ops Risk Capital Charge

  • Operational Risk Losses due to:

  • Rogue Trading

  • External Events

  • Failed Systems

  • Operational Risk Events in the run up to the Sub Prime crisis

  • Operational Risk – A Fuzzy Concept

  • Types of Operational Risk

  • Traditional versus Modern Approaches to OPERATIONAL RISK

2. THE REGULATORY ENVIRONMENT

  • Evolution of Operational Risk methodologies under Basel II

  • Basel II and III Approaches to Operational Risk

  • Evolution in Measurement of Operational Risk Capital Charges

  • The Basic Indicator Approach

  • The Standardized Approach

  • Alternative Standardized Approach

  • Most Recent Standardized Measurement Approach from Basel Committee

  • Internal Measurement Approach

  • Advanced Measurement Approach

  • The Loss Distribution Methodology

3. MEASUREMENT AND REPORTING

Methodologies for computing Operational Risk Capital Charge

  • Operational Risk Capital Charges for different approaches

  • Challenges in the use of the Advanced Measurement Approach

  • Characteristics of Operational Risk Loss Events

  • Mathematics behind the Advanced Measurement Approach

  • A Statistical insight into Operational Risk Losses

  • Historical Data for measuring Expected Operational Risk Losses

  • Scenario Analysis and Stress Testing

  • Steps in Scenario Analysis & Stress Testing Procedures: Writing The Algorithm

  • Calculating 99.9% OpVAR via Internal Measurement Approach

  • A Practical Example of the Internal Measurement Approach

  • Calculating the Capital Charge For 99.9% OpVAR using the Loss Distribution Approach

4. QUANTIFICATION OF OPERATIONAL RISK

Choice of suitable distributions to model Loss Severity and Frequency

  • The four parameter, g&h distribution to model Loss Severity

  • Modeling Tail Risk using Extreme Value Theory (EVT)

  • The probability density function of Generalized Extreme Value (GEV)

  • The probability density function of Generalized Pareto Distribution (GPD)

  • Empirical Mean Excess function of a Generalized Pareto Distribution

  • Testing for Goodness of Fit

  • The algorithm for Monte Carlo simulations of loss scenarios

  • Poisson Distribution – for determining Frequency of Losses

  • Assessing Severity of an Operational Loss

  • The Lognormal Distribution for assessing Loss Severity

  • The challenge behind combining LOSS FREQUENCY and LOSS SEVERITY DISTRIBUTIONS

  • Cumulating the Likelihood and Severity Distributions

  • Techniques for Cumulating Frequency and Severity Distributions

  • IMPACT versus LIKELIHOOD of Operational Risk Loss Events

  • Operational Risk: FREQUENCY versus SEVERITY Map

  • Modeling the LOSS FREQUENCY DISTRIBUTION, N

  • Modeling the LOSS SEVERITY DISTRIBUTION at two levels

  • The Sting of Operational Risk is in The Tail

  • Best practices in the simulation of Operational Losses

5. OPERATIONAL RISK CAPITAL CHARGE

  • Regulatory Capital versus Economic Capital in Operational Risk

  • Transforming Risk Information into Risk Capital

  • Capital Charge for Operational Risks

  • Evolution of Operational Risk Capital Charge

  • Stage ONE - The BASIC APPROACH

  • Stage TWO - The STANDARDIZED APPROACH

  • Stage THREE - The ADVANCED MEASUREMENT APPROACH

  • Stage FOUR - The LOSS DISTRIBUTION APPROACH

  • Transforming Risk Information and Loss Data Into Operational Risk Capital Charge

  • Gross Losses by Business Lines and event Types - Loss Severity reported to ORX from 2008 to 2012

6. RECENT STANDARDIZED MEASUREMENT APPROACH

Withdrawal of AMA for Operational Risk modeling

  • Introducing the Standardized Measurement Approach for modeling Operational Risk Capital

  • The New Standardized Measurement Approach of June 2016

  • Inclusion of bank specific Historical Losses into the SMA

  • Computation of the Business Indicator (BI)

  • Asymmetries in the Services component of BI

  • Inconsistencies in the treatment of Dividend Income

  • Overcapitalization of banks with a high Net Interest Margin

  • Overcapitalization of banks with high Fee Component of BI

  • Inconsistent treatment of Leasing compared with Credit

  • Computation of the new Business Indicator

  • Adding the Loss Component to the Business Indicator

  • Computing Loss Component and the Internal Loss Multiplier

  • Capital charge under Standardized Measurement Approach

7. MEASURING OPERATIONAL RISK IN REAL TIME

  • NEURAL’s Real Time Ops Risk Framework for Global Banks

  • Framework for Real Time Operational Risk analytics & visualization

  • REAL TIME Engine for Global Operations Risk Analytics

  • Leveraging BIG DATA and HADOOP for Operational Risk

  • High Performance Operational Risk Computing

  • Complex Event Processing (CEP)

  • Risk Dashboards for each layer of Management in a Global Bank

  • Global Heat Map for Country-by-Country Operations Risk

  • Real Time Operational Management Systems (R-TOMS)

8. CASE STUDY ONE:

Implementation of Operations Risk at a Leading Full Service Asian Bank

  • Operational Risk Revamp: Phase 1 – The Baselines

  • Operational Risk Revamp: Phase 2 – Policy & Procedures

  • Operational Risk Revamp: Phase 3 – Processes & Assurance

  • Milestones in the Operational Risk Revamp at Bank Alpha

  • Steps for Basel II, Operational Risk compliance at Bank Alpha

9. CASE STUDY TWO:

Operations Risk Strategy at a Major European Bank with Global Operations

  • Strategic Actions Undertaken at Bank Delta

  • Stakeholder Management and Committee Reporting

  • Actions taken after the Operational Risk Project

  • Creating Policies, Processes and Procedures

  • Documentation and Training

  • Putting Best Practices in Place

  • Ensuring the Documentation meets Regulatory Scrutiny

  • Technical Libraries and Approvals

  • Establishing Benchmarks and Setting Up The Technical Content

  • Approvals, Checks and Balances as Processes

  • How Basel II, Operational Risk compliance was achieved at Bank Delta

10. CASE STUDY THREE:

Managing the Operations Risk at a Global Derivatives Exchange

  • Risk Control Self-Assessment at a Global Exchange

  • Workflow for Risk Control Self-Assessment

  • Aims of Risk Control Self-Assessment

  • Key Risk Indicators assessment at a Global Derivatives Exchange

  • Business Continuity Plans in Operations Risk at an Exchange

  • What the regulators observed and look for in the Business Continuity Plans

  • Process Mapping for Operational Risk in an Exchange

  • Inputs for mapping of Risk Processes

  • Outputs from the Risk Process Mapping exercise

  • Training Non-risk Departments to Identify their KRIs

  • Mapping Processes, Assessing Risks and Developing KRIs at a Global Derivatives Exchange

  • Operational Risk Scorecards

11. CASE STUDY FOUR:

Quantification of Operational Risk at a large American Bank

  • Quantification of Operational Risk at Bank Gamma

  • Loss Frequency and Loss Severity Distributions for Bank Gamma

  • Bank Gamma’s Loss Frequency Distribution

  • Bank Gamma’s Loss Severity Distribution

  • Generation of Aggregate Loss Distribution at Bank Gamma

  • Computation of Operational Risk for Bank Gamma


 
 
 

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