Duration and Convexity in Fixed Income Analytics

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SUMMARY

Duration and convexity are fundamental measures in fixed income analytics that quantify how bond prices respond to interest rate changes. Duration approximates the first-order (linear) price sensitivity, while convexity captures the second-order (curvature) effects, providing a more complete understanding of bond price behavior.

Understanding duration

Duration measures the approximate percentage change in a bond's price for a 1% change in yield. There are two main types:

Modified duration

Modified duration is the most commonly used measure, calculated as:

Modified Duration=1PdPdy\text{Modified Duration} = -\frac{1}{P} \frac{dP}{dy}

where:

  • PP is the bond price
  • yy is the yield
  • dPdy\frac{dP}{dy} is the first derivative of price with respect to yield

Macaulay duration

Macaulay duration represents the weighted average time until all cash flows are received:

Macaulay Duration=t=1ntCFt(1+y)t1P\text{Macaulay Duration} = \sum_{t=1}^{n} t \cdot \frac{CF_t}{(1+y)^t} \cdot \frac{1}{P}

where:

  • CFtCF_t is the cash flow at time tt
  • nn is the number of periods
  • yy is the yield per period

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Understanding convexity

Convexity measures the curvature of the price-yield relationship, capturing the second-order effects that duration misses:

Convexity=1Pd2Pdy2\text{Convexity} = \frac{1}{P} \frac{d^2P}{dy^2}

The total price change can be approximated using both duration and convexity:

ΔPPDurationΔy+12Convexity(Δy)2\frac{\Delta P}{P} \approx -\text{Duration} \cdot \Delta y + \frac{1}{2} \text{Convexity} \cdot (\Delta y)^2

Importance in risk management

Convexity is particularly important for:

Next generation time-series database

QuestDB is an open-source time-series database optimized for market and heavy industry data. Built from scratch in Java and C++, it offers high-throughput ingestion and fast SQL queries with time-series extensions.

Applications in trading and risk management

Portfolio immunization

Duration and convexity are essential for:

  1. Matching asset and liability durations
  2. Protecting portfolios against interest rate changes
  3. Implementing hedging strategies

Relative value analysis

Traders use these metrics to:

  • Compare bonds with different characteristics
  • Identify mispriced securities
  • Structure fixed income arbitrage opportunities

Risk monitoring

Risk managers employ duration and convexity to:

  • Measure portfolio sensitivity to rate changes
  • Set position limits
  • Calculate Value at Risk (VaR)

Next generation time-series database

QuestDB is an open-source time-series database optimized for market and heavy industry data. Built from scratch in Java and C++, it offers high-throughput ingestion and fast SQL queries with time-series extensions.

Market implications

Trading strategies

Duration and convexity inform various trading approaches:

Yield curve analysis

These metrics help analyze:

Real-world considerations

Market dynamics

Several factors affect duration and convexity calculations:

Limitations

Important considerations include:

  1. Assumption of parallel yield curve shifts
  2. Credit risk effects
  3. Embedded option impacts
  4. Market liquidity constraints

Technology and implementation

Modern fixed income analytics platforms must handle:

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