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    48 min

    Professional Risk Management

    Institution-level risk management and portfolio construction

    Learning Objectives

    Implement institutional risk frameworks
    Understand portfolio-level risk metrics
    Develop comprehensive risk policies
    Apply advanced stress testing techniques

    Professional Risk Framework

    Building institutional-grade risk management systems

    Three Lines of Defense

    First Line

    Portfolio Managers

    • • Day-to-day risk monitoring
    • • Position sizing decisions
    • • Strategy implementation
    Second Line

    Risk Management

    • • Independent risk oversight
    • • Risk limit enforcement
    • • Stress testing and scenarios
    Third Line

    Internal Audit

    • • Process validation
    • • Control effectiveness
    • • Regulatory compliance

    Risk Governance Structure

    Key Components:

    • • Risk appetite statement and framework
    • • Risk committee with independent oversight
    • • Clear escalation procedures and authorities
    • • Regular risk reporting to senior management
    • • Integration with compensation and incentives

    Risk Culture Development

    Professional risk management requires cultivating a culture where risk awareness is embedded in all decision-making processes, not just formal risk management functions.


    Advanced Portfolio Risk Metrics

    Comprehensive risk measurement and monitoring

    Value at Risk (VaR)

    Statistical measure of maximum potential loss over specific time horizon at given confidence level.

    Parametric VaR

    Assumes normal distribution, fast calculation

    Monte Carlo VaR

    Simulation-based, handles complex portfolios

    Expected Shortfall (ES)

    Average loss beyond VaR threshold, provides better tail risk measurement than VaR alone.

    Why ES Matters:

    VaR tells you the loss threshold but not how bad losses could be beyond that point. ES fills this gap by measuring expected loss in worst-case scenarios.

    Options-Specific Metrics

    Gamma-Adjusted VaR

    Incorporates convexity effects from options positions

    Vega Risk

    Exposure to volatility changes across strikes and terms

    Theta Decay Analysis

    Time decay impact on portfolio value

    Correlation Risk

    Measuring how correlation changes affect portfolio risk:

    Rolling correlation analysis
    Correlation stress scenarios
    Factor model decomposition

    Advanced Stress Testing

    Comprehensive scenario analysis and stress testing

    Scenario Categories

    Historical Scenarios
    • • 2008 Financial Crisis
    • • 2020 COVID Crash
    • • 1987 Black Monday
    • • 2010 Flash Crash
    Hypothetical Scenarios
    • • Central bank policy shifts
    • • Geopolitical events
    • • Sector-specific shocks
    • • Liquidity crises

    Multi-Factor Stress Testing

    Simultaneous stress across multiple risk factors:

    Example Stress Scenario:

    • • Equity markets: -25% over 5 days
    • • Volatility: +150% (VIX 20 → 50)
    • • Interest rates: +200 basis points
    • • Credit spreads: +300 basis points
    • • Correlations: All approach 0.9

    Reverse Stress Testing

    Identify market conditions that would cause portfolio to fail risk limits:

    What market move causes 10% portfolio loss?
    Which correlation changes are most dangerous?
    How much volatility spike triggers margin calls?

    Dynamic Stress Testing

    Real-time stress testing that updates as portfolio composition and market conditions change.


    Risk Limits and Control Framework

    Comprehensive limit structure and monitoring

    Limit Hierarchy

    Firm-Level Limits

    Maximum risk exposure across all strategies

    Strategy-Level Limits

    Limits by investment strategy or mandate

    Portfolio Manager Limits

    Individual trader or portfolio limits

    Position-Level Limits

    Maximum exposure to single names or sectors

    Greeks Limits

    Example Professional Limits:

    • • Portfolio Delta: ±500 (equivalent share exposure)
    • • Portfolio Gamma: ±25 (maximum convexity exposure)
    • • Portfolio Vega: ±2,000 (volatility risk in $)
    • • Portfolio Theta: -$1,000/day (maximum daily decay)
    • • Single Name Concentration: ≤5% of portfolio value

    Escalation Procedures

    80% of limit: Yellow alert, daily monitoring
    95% of limit: Red alert, immediate risk review
    100% of limit: Mandatory risk reduction
    Limit breach: Senior management notification

    Pre-Trade Risk Controls

    Automated systems that prevent limit breaches before they occur:

    Real-time limit checking before order submission
    Maximum order size validations
    Concentration and sector exposure checks

    Professional Portfolio Construction

    Institutional approaches to portfolio optimization

    Mean-Variance Optimization

    Mathematical framework for optimal portfolio allocation given expected returns and risk constraints.

    Limitations:

    • • Sensitive to input assumptions
    • • Assumes normal return distributions
    • • Ignores transaction costs and liquidity
    • • Historical correlations may not persist

    Black-Litterman Model

    Enhancement to mean-variance optimization that incorporates market equilibrium and investor views.

    Starts with market capitalization weights
    Incorporates investor views with confidence levels
    Produces more stable, intuitive allocations

    Risk Parity Approaches

    Portfolio construction based on equal risk contribution rather than equal dollar allocation.

    Equal Risk Contribution

    Each position contributes equally to portfolio risk

    Risk-Weighted Allocation

    Higher allocation to lower-risk assets

    Factor-Based Construction

    Building portfolios based on exposure to systematic risk factors:

    Common Factors:

    • • Market (beta): Systematic market exposure
    • • Size: Small vs large cap preference
    • • Value: Value vs growth orientation
    • • Momentum: Trending vs mean-reverting
    • • Quality: Fundamental strength measures
    • • Low Volatility: Risk-adjusted returns

    Regulatory and Compliance Framework

    Professional standards and regulatory requirements

    Fiduciary Standards

    Professional money managers have fiduciary duty to act in clients' best interests.

    Duty of care: Prudent investment process
    Duty of loyalty: No conflicts of interest
    Duty of disclosure: Transparent communication

    Risk Disclosure Requirements

    Comprehensive disclosure of investment risks and methodologies to clients and regulators.

    Documentation Standards

    Required Documentation:

    • • Investment policy statements
    • • Risk management procedures
    • • Trading and execution policies
    • • Compliance monitoring reports
    • • Client communication records