AI for Bond Portfolio Management: Claude Tools for Fixed Income Portfolio Analysis

Bond Portfolio Management and AI

Fixed income portfolio management involves balancing yield, duration risk, credit risk, and liquidity to meet an investment mandate. Whether managing a pension fund against liabilities (liability-driven investing), optimizing total return (unconstrained fixed income), or running a core fixed income portfolio against a benchmark, Claude with ClaudeFinLab provides the analytical support for portfolio positioning, scenario analysis, and performance attribution.

Duration and Interest Rate Risk Management

• "Portfolio duration analysis: I have a bond portfolio with the following positions. [Table: bond, par value, coupon, maturity, modified duration, market value]. Compute the portfolio's weighted average modified duration: Σ(MV_i / Total_MV × Duration_i). Portfolio DV01: Total_MV × Duration × 0.0001. If rates rise 25bps, portfolio P&L impact: DV01 × 25. Is our 7.2-year duration appropriate given my benchmark is 6.5-year Bloomberg US Agg?"
• "Convexity-adjusted duration positioning: the portfolio has modified duration 7.2 years and positive convexity 68 (dollar convexity). For a 50bp rate shock: price change ≈ −MD × Δy + 0.5 × Convexity × Δy². Down 50bps: + (7.2 × 0.005) + 0.5 × 68 × (0.005)² = +3.6% + 0.085% = +3.685%. Up 50bps: −3.6% + 0.085% = −3.515%. Positive convexity means we lose less when rates rise than we gain when they fall — value of this asymmetry?"
• "Duration targeting: my pension fund has liability duration of 14.2 years. Asset portfolio has duration 8.4 years. Duration gap: 14.2 − 8.4 = 5.8 years. If rates rise 100bps, liability value falls more than asset value → funded status improves (for a single liability, more complex with mixed liabilities). To reduce duration gap: buy long-duration bonds (30-year UST) or enter receive-fixed swaps. To close the gap to zero: compute the notional of swaps needed."

Yield Curve Positioning

• "Yield curve trade analysis: current curve — 2-year UST 4.45%, 5-year 4.32%, 10-year 4.35%, 30-year 4.52%. The curve is very flat to inverted (2-10 spread = −10bps). Trade: position for yield curve steepening (2s10s). Long 2-year / Short 10-year duration-neutral trade. DV01 neutral: $10M 2-year (DV01 $194/bp) vs $X of 10-year (DV01 $860/bp). X = $10M × 194 / 860 = $2.26M of 10-year shorts. If 2s10s steepens 50bps, P&L: 50bps × $194 DV01 (gain on 2yr short rates falling) + 50bps × $860 (loss on 10yr yields rising) → net? Wait, DV01 trade is structured for neutrality — show full trade mechanics."
• "Butterfly spread trade: current 5-year yield 4.32%, 2-year 4.45%, 10-year 4.35%. The 5-year is rich (too low yield vs 2s/10s fitted curve). Trade: sell 5-year (short the cheap point), buy 2-year and 10-year wings (duration-neutral). If the butterfly reverts 10bps (5-year yields rise 10bps while wings unchanged): profit from the 5-year short. Compute the butterfly P&L in DV01 terms."

Sector Allocation and Credit

• "Bond sector allocation vs Bloomberg US Agg benchmark: my portfolio — UST 28% (benchmark 42%), Agency MBS 18% (benchmark 27%), Investment Grade Corps 42% (benchmark 24%), ABS 6% (benchmark 4%), CMOs 6% (benchmark 3%). Active overweight: IG Corps +18%. Overweight spread justification: IG corps yield UST+155bps vs 5-year historical average 125bps — 30bps cheap. Duration-neutral spread pick-up vs benchmark for the overweight: +18% × 30bps = +5.4bps portfolio yield advantage vs benchmark."
• "Credit quality tiering: portfolio current allocation by rating — AAA/Aaa 28%, AA 22%, A 32%, BBB/Baa 18%. My mandate allows minimum 10% BBB. If I shift 5% from A-rated to BBB-rated bonds, yield pick-up: ≈50bps on 5% of portfolio = 2.5bps portfolio yield improvement. Risk: BBB default probability 5-year ≈ 1.2% (higher than A at 0.4%). Expected loss from shift: 5% × (1.2% − 0.4%) × 40% LGD = 0.16bps. Net expected value of the shift: 2.5bps − 0.16bps = +2.34bps per year."

Liability-Driven Investing (LDI)

• "LDI portfolio construction for a defined benefit pension: liability PV $4.2B, liability duration 14.2 years, liability DV01 $5.96M/bp. Asset portfolio $3.8B (funded ratio 90.5%). Step 1: hedge 80% of liability duration with long corporate bonds. Hedge notional needed: $4.2B × 14.2yr × 80% hedge ratio = $4.77B DV01 equivalent / [average long corp duration 14.5yr] = $3.29B in long corps. Remaining 20% unhedged liability → takes duration risk. Step 2: 'return-seeking' portfolio on residual assets. How much can we put in equities vs bonds?"
• "Funded status sensitivity: if rates rise 100bps, liability value change (duration 14.2, PV $4.2B): −14.2 × 1% × $4.2B = −$596M. Asset value change (fully hedged portfolio, duration 14.2): −$596M → net funded status impact = $0 (perfect hedge). But: the return-seeking portfolio (equities $500M, beta 1.0) falls if rising rates cause risk-off: assumed −8% = −$40M. Net funded status impact with 80% LDI + return-seeking: −$596M liabilities + $477M bonds + (−$40M equities) = −$159M funded status deterioration."

Portfolio Immunization

• "Cash flow matching: insurance company has liability payments: Year 1 $28M, Year 2 $32M, Year 3 $38M, Year 4 $42M, Year 5 $48M. Construct a cash flow matched bond portfolio: Year 5 payment: buy $48M face of 5-year zero coupon bond (or strip coupon from bullets). Year 4 payment: $42M cash needed minus Year 5 bond coupons already received → remaining Year 4 need: buy a 4-year bond with coupon + principal = $42M net. Work backwards year by year. Total cost of immunizing portfolio vs liability PV at 4.8% discount rate."
• "Duration matching vs cash flow matching: duration matching is cheaper (fewer securities, allows some reinvestment flexibility) but leaves residual risk if yield curve shifts non-parallelly. Cash flow matching eliminates reinvestment risk but is more expensive. For a pension fund with liabilities from 1-30 years ($4.2B PV), cash flow matching might cost 30-50bps more yield per year in return for certainty. When is each approach preferred?"

Total Return Analysis and Performance Attribution

• "Bond total return attribution: portfolio returned 3.4% vs benchmark 2.8% (active return +60bps). Decompose: (1) Income effect: portfolio yield 5.2% vs benchmark 4.8% → +40bps; (2) Duration effect: portfolio duration 7.2yr vs benchmark 6.5yr, rates fell 12bps → (7.2−6.5) × 12bps = +8bps; (3) Curve effect: portfolio positioned for steepening, curve flattened 5bps → −6bps; (4) Credit spread effect: IG corps tightened 8bps, overweight 18% → +1.44bps; (5) Other +16.6bps. Sum: 40+8−6+1.44+16.6 = 60bps. Which attribution driver is repeatable?"

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