Chapter 14

Understanding Fixed-Income Risk and Return

Comprehensive analysis of risk factors, return attribution, and portfolio management techniques in fixed-income investing

1

Sources of Return in Fixed-Income Investing

Fixed-income returns are generated from multiple sources, each with distinct risk characteristics and time horizons. Understanding these components is essential for effective portfolio management and risk assessment.
Primary Return Components
Return Source Description Time Sensitivity Risk Factors
Coupon Income Periodic interest payments Predictable timing Credit risk, default risk
Rolldown Return Price appreciation as bond approaches maturity Time-dependent Yield curve shape changes
Capital Gains/Losses Price changes due to spread/rate movements Market-dependent Interest rate, credit, liquidity
Currency Effects Foreign exchange gains/losses (if applicable) Continuous Currency volatility
Total Return = Coupon Income + Rolldown Return + Capital Gains/Losses + Currency Effects
Rolldown Return
Rolldown return occurs when the yield curve is not flat. As a bond approaches maturity, it "rolls down" the yield curve. In a normal upward-sloping curve, this generates positive returns even if yields don't change.
2

Interest Rate Risk Decomposition

Interest rate risk in fixed-income portfolios can be decomposed into various components, each requiring different management approaches and hedging strategies.
Level, Slope, and Curvature Risk
Yield Curve Risk Factors
Level Risk: Parallel shifts in the yield curve
  • Affects all maturities equally
  • Measured by portfolio duration
  • Most significant risk factor (typically 80-90% of total risk)
Slope Risk: Changes in yield curve steepness
  • Short vs. long-term rate differential changes
  • Measured by key rate durations
  • Important for bullet vs. barbell portfolios
Curvature Risk: Changes in yield curve convexity
  • Non-parallel, non-slope changes
  • Butterfly spread movements
  • Affects intermediate maturity bonds most
Key Rate Duration
Key rate duration measures sensitivity to changes in specific points on the yield curve, providing more granular risk measurement than modified duration.
Maturity Point Key Rate Duration Interpretation
2-year 0.5 0.5% price change for 1% change in 2-year rate
5-year 2.1 2.1% price change for 1% change in 5-year rate
10-year 1.8 1.8% price change for 1% change in 10-year rate
30-year 0.3 0.3% price change for 1% change in 30-year rate
Portfolio Key Rate Duration = Σ(Weight_i × Key Rate Duration_i)
3

Credit Risk Analysis and Measurement

Credit risk represents the possibility of loss due to deterioration in issuer creditworthiness or outright default. This risk has multiple dimensions that require comprehensive analysis.
Components of Credit Risk
Credit Risk Breakdown
  • Default Risk: Probability of issuer failing to meet obligations
  • Credit Migration Risk: Loss due to rating downgrades
  • Credit Spread Risk: Changes in risk premiums demanded by market
  • Recovery Risk: Uncertainty about recovery rates in default
Credit Risk Metrics
Metric Formula Application
Credit Spread Duration Modified Duration × Spread Beta Sensitivity to credit spread changes
Expected Loss PD × LGD × EAD Expected credit loss over time horizon
Credit VaR Statistical model output Potential credit loss at confidence level
Credit Spread Duration Example
A corporate bond has:
  • Modified Duration: 6.5 years
  • Credit spread: 150 basis points
  • Spread beta to index: 1.2
Credit Spread Duration = 6.5 × 1.2 = 7.8

If credit spreads widen by 50 basis points:
Price Impact = -7.8 × 0.50% = -3.9%
PD, LGD, and EAD Definitions
PD (Probability of Default): Likelihood of default within specified timeframe
LGD (Loss Given Default): Percentage of exposure lost if default occurs
EAD (Exposure at Default): Amount exposed to loss at time of default
4

Liquidity Risk and Market Microstructure

Liquidity risk in fixed-income markets can significantly impact portfolio performance, especially during periods of market stress. Understanding market microstructure helps in managing this risk.
Types of Liquidity Risk
Liquidity Risk Type Description Key Indicators Mitigation Strategies
Market Liquidity Ability to trade without price impact Bid-ask spreads, trading volume Focus on liquid sectors
Funding Liquidity Access to cash for margin calls Repo rates, cash reserves Maintain cash buffers
Redemption Risk Investor withdrawals forcing sales Fund flow patterns Liquidity tiering
Liquidity Measurement
Several metrics help quantify liquidity risk in fixed-income portfolios:
Common Liquidity Metrics
  • Average Daily Trading Volume: Historical trading activity measure
  • Bid-Ask Spread: Transaction cost indicator
  • Days to Liquidate (DTL): Time to liquidate position without excessive market impact
  • Market Impact Cost: Expected price impact of trading
  • Liquidity-Adjusted VaR: VaR including liquidity risk premium
Days to Liquidate = Position Size / (Daily Volume × Participation Rate)
Liquidity Risk in Stress Periods
During market stress, liquidity can evaporate quickly:
  • Bid-ask spreads widen dramatically
  • Trading volumes decline sharply
  • Correlations increase toward 1.0
  • Funding liquidity becomes constrained
5

Portfolio Risk Attribution and Decomposition

Understanding how different risk factors contribute to portfolio volatility enables more effective risk management and helps explain performance attribution.
Risk Factor Models
Multi-factor models decompose portfolio risk into systematic risk factors:
Risk Factor Description Typical Contribution
Duration Risk Interest rate level sensitivity 60-80% of total risk
Curve Risk Yield curve shape changes 10-20% of total risk
Credit Spread Risk Credit risk premium changes 15-25% of total risk
Sector/Security Risk Idiosyncratic factors 5-15% of total risk
Risk Attribution Calculation
Portfolio Variance = Σᵢ Σⱼ wᵢ wⱼ σᵢⱼ

where: wᵢ, wⱼ = portfolio weights, σᵢⱼ = covariance between assets i and j
Risk Decomposition Example
A portfolio with 4% annual volatility might decompose as:
  • Duration Risk: 3.2% (80% of total)
  • Credit Spread Risk: 0.8% (20% of total)
  • Curve Risk: 0.4% (10% of total)
  • Idiosyncratic Risk: 0.2% (5% of total)
Note: Components don't sum to total due to correlation effects.
Marginal vs. Component Risk
Marginal Risk: Additional risk from small position increase
Component Risk: Portion of total risk attributable to each position

Component risks sum to total portfolio risk, while marginal risks indicate optimal position sizing.
6

Risk Management Techniques and Hedging

Effective fixed-income risk management requires a combination of portfolio construction techniques, derivatives usage, and systematic monitoring processes.
Hedging Strategies
Strategy Instrument Risk Hedged Considerations
Duration Hedging Interest rate futures Parallel yield curve shifts Basis risk, rebalancing needs
Credit Hedging CDS, credit indices Credit spread widening Counterparty risk, liquidity
Curve Hedging Multiple futures maturities Yield curve shape changes Complex implementation
Currency Hedging FX forwards, swaps Foreign exchange risk Hedging costs, timing
Portfolio Construction Techniques
Risk Budgeting Approach
Allocate risk rather than capital:
  • Total Risk Budget: Maximum acceptable portfolio volatility
  • Factor Risk Limits: Maximum exposure to each risk factor
  • Concentration Limits: Single issuer/sector exposure limits
  • Liquidity Requirements: Minimum liquidity buffer maintenance
Hedge Ratio Calculation
To hedge duration risk using Treasury futures:

Hedge Ratio = (Portfolio Duration × Portfolio Value) / (Future Duration × Future Value × Conversion Factor)

Example:
  • Portfolio: $100M, Duration = 5.5
  • Future: Duration = 6.2, Price = $125,000
  • Conversion Factor = 0.95
Hedge Ratio = (5.5 × $100M) / (6.2 × $125,000 × 0.95) = 745 contracts
Dynamic Risk Management
Risk management requires continuous monitoring and adjustment:
  • Daily Risk Monitoring: Track key risk metrics
  • Stress Testing: Evaluate performance under adverse scenarios
  • Rebalancing Rules: Systematic approach to maintaining target risk
  • Performance Attribution: Understand sources of returns and risks