Best Practices in Credit Portfolio Risk Management for Buy-side Managers

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Best Practices in Credit Portfolio Risk Management for Buy-side Managers Moody's Analytics Risk Practitioner Conference October 17 th, 2012 David Latour Senior Adviser, Quantitative Risk Analysis Fixed Income 1

01 02 03 Caisse Figures and investments activities Risk management at la Caisse Credit risk management tools 04 05 Usual credit risk management Key points This Presentation (the Presentation ) was prepared by ( Caisse); it and all information it contains, shall remain the property of Caisse and shall not be reproduced or distributed, in whole or in part, at any time without Caisse prior written consent. The Presentation is not intended to serve as basis for any investment decision. 2

SECTION 01 CAISSE FIGURES AND INVESTMENT ACTIVITIES 3

SECTION 01 Caisse Figures and investment activities History Founded in July 1965 Act of Québec s National Assembly Initial mandate: to manage the assets of the Québec Pension Plan (RRQ) Mandate widened over the years to include the funds deposited by other Québec public and private sector pension and insurance plans As at December 31, 2011: 25 depositors net assets of $159B 4

SECTION 01 Caisse Figures and investment activities Mission "The mission of the Caisse is to receive moneys on deposit as provided by law and manage them with a view to achieving optimal return on capital within the framework of depositors investment policies while at the same time contributing to Québec s economic development." 5

SECTION 01 Caisse Figures and investment activities Vis-à-vis its peers One of the largest institutional fund managers in Canada and North America One of the world s 10 largest real estate asset managers Leading Canadian private equity investor Shareholder in more than 4,000 companies globally One of the few North American entities with the highest credit ratings: AAA from DBRS and S&P, and Aaa from Moody's 6

SECTION 01 Caisse Figures and investment activities Breakdown by asset class As a percentage as at December 31, 2011 Fixed Income 37 Inflation-Sensitive Investments 16 Equity 46 Hedge Funds 2 Asset Allocation 1 ABTN (2) 7

SECTION 01 Caisse Figures and investment activities Geographic breakdown As a percentage as at December 31, 2011 Canada 60 United States 20 Euro Area 7 United Kingdom 4 Japan 2 Emerging Markets 5 Other 2 8

SECTION 02 RISK MANAGEMENT AT LA CAISSE 9

SECTION 02 Risk management at la Caisse Model Transparently ensure a risk-return balance for the Caisse by assuming a second level of control, by employing effective risk management tools and providing support with investment strategy development, while promoting a sound risk culture within the organization Integrate risk managers Develop effective analysis tools Strategies Incorporate risk component into our processes 10

SECTION 02 Risk management at la Caisse Focus of our strategy Knowledge and challenge In-depth knowledge encompassing investments, the portfolio and interrelated investments Constructive discussions on strategies and opportunities Guidance and discipline Define policies that reflect the risk management philosophy Establish clear, shared risk management processes Develop structured and shared investment processes Development of effective analytical tools Develop quantitative and qualitative tools Communicate effectively to ensure buy-in 11

SECTION 02 Risk management at la Caisse ERM process Anticipate major risks Identify acceptable level of risk Develop and implement a mitigation plan 3. Mitigate Dialogue: Market update, rebalancing committee and risk-return report 1. Identify Prioritize risks Monitor potential risks 2. Assess Measure risks using systematic tools, e.g. VaR, stress tests, concentrations and indicators Analyze risks using quantitative and qualitative methods 12

SECTION 02 Risk management at la Caisse Organisational structure Business Unit Risk Managers (BURMs) Fixed Income Equity Markets Asset Allocation Private Equity Real Estate Activities associated with risk measurement and quantitative analysis Market risk analysis, stress testing and concentrations Credit, counterparty and liquidity risk management Data management Activities associated with qualitative analysis Risk management intelligence and policies Geopolitical risk analysis Operational risk management 13

SECTION 03 CREDIT RISK MANAGEMENT TOOLS 14

SECTION 03 Credit risk management tools Corporate bonds portfolio outlook Roughly 25% of 40 B$ Bonds portfolio invested in non-sovereign credit sensitive instruments Benchmark is DEX Universe All Corporate Bond Index Index is composed of all Canadian dollar denominated bonds with effective maturity of at least one year and a broad enough distribution, rated BBB or higher and issued by Canadian corporations or SPVs On top of publicly traded corporate bonds, portfolio can also include private debt investments, leveraged loans, high yield securities and credit derivatives Small exposure to issuers in USA and Europe Portfolio constructed to match benchmark s duration 15

SECTION 03 Credit risk management tools Investment approach Bottom-up approach Issuers and sectors assigned to portfolio managers/analysts to build expertise Fundamental analysis drives investment decision Relative-value approach to assess cheap/rich bonds Low turnover Risk managers can add value through quantitative approach 16

SECTION 03 Credit risk management tools Moody s CreditEdge Platform that delivers forward-looking daily public firm EDF (Expected Default Frequency) credit measures to support credit risk assessment and investment decisions Moody s RiskFrontier Platform that enables you to perform rigorous analysis of credit risk and economic capital. It also identifies risk concentrations by industry, geography or asset type, computes expected and unexpected loss, and calculates distributions of portfolio values, losses and capital 17

SECTION 03 Credit risk management tools CreditEdge Major Risk RiskFrontier Calculate probability of defaults for issuers Derive point-in-time credit ratings to supplement ratings provided by external agencies Estimate portfolio s tail risk (Credit Value at Risk) Identify main contributors to tail risk 18

SECTION 02 Credit risk management tools Response to risk is modulated Impact of risk on the Caisse Illustrative probability distribution "Major" risk Potential event characterized by: Major impact Generally low frequency Typically not central to investment strategies Dialogue intended to mitigate risk "Usual" risk Potential risk characterized by: Significant but less critical impact Higher frequency Deliberately accepted to generate returns Dialogue intended to optimize riskreturn ratio 19

SECTION 04 USUAL CREDIT RISK MANAGEMENT 20

SECTION 04 Usual credit risk management Fundamental approach to credit risk Risk assessment is based on both in-house fundamental risk analysis and rating agencies analysis Risk analysis is mostly based on : Financial strength analysis Industry overview Quality of management Company operationnal strengths/weaknesses analysis Decision to buy or sell securities is based on risk assessment and on comparative analysis of spreads for securities of similar risk 21

SECTION 04 Usual credit risk management Quantitative approach to credit risk Market-based data can also be used to perform risk analysis Many sources of market data available for debt: Bond market CDS market Equity market Market data has generally the advantage of providing point-in-time risk information Combined approach provides better risk assessment 22

SECTION 04 Usual credit risk management Fair value spreads approach Approach used is based on Moody s Fair Value Spreads (FVS) Fair Value Spreads calculated are compared to actual market spreads for securities included in the portfolio managers investment universe Approx. 60% of securities in benchmark have FVS available For each sector, top overvalued/undervalued securities are included in a report Portfolio managers review opportunities presented in report Quantitative approach adds another source of potential opportunities 23

SECTION 04 Usual credit risk management Risk in portfolio context Current investment approach focuses on security selection and puts less emphasis on portfolio construction Portfolio level reporting revolves around: Concentration reports (credit ratings, geography, industry) Duration Sensitivity to credit spreads Focus should be on risk contribution and not standalone risk 24

SECTION 04 Usual credit risk management Risk in portfolio context Approach used is based on Moody s RiskFrontier Portfolio value distributions for both portfolio and relative portfolio are generated Focus on standard deviation of distributions (not VaR) Contributions of each securities/industries/rating groups are presented to portfolio managers Historical and expected returns are compared to risk contributions to establish risk-reward dialogue 25

SECTION 03 Usual credit risk management Value proposition Major Risk Usual Risk CreditEdge RiskFrontier CreditEdge RiskFrontier Calculate probability of defaults for issuers Derive point-intime credit ratings to supplement ratings provided by external agencies Estimate portfolio s tail risk (Credit Value at Risk) Identify main contributors to tail risk Calculate riskadjusted theorical spreads to identify cheap/rich securities Use portfolio risk contribution as part of riskreward analysis framework Focus on standard deviation, not VaR 26

SECTION 03 Usual credit risk management Value proposition Better integration of credit risk management tools in investment process requires: Transparency Training sessions on methodology Easily available and clear documentation Data quality Team dedicated to ensure data availability and accuracy Timely reporting Processes that allow punctual and flexible reporting 27

SECTION 05 KEY POINTS 28

SECTION 05 Key Points Organisational structure should facilitate dialogue with portfolio managers Portfolio managers focus on usual risk Quantitative approach is a valuable addition to fundamental approach used by portfolio managers Market based risk information Portfolio risk contribution vs standalone risk Transparency, data quality and timely reporting are necessary to obtain buy-in 29

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