plugins/core/skills/return-calculations/SKILL.md
Compute and compare investment return metrics including TWR, MWR (dollar-weighted IRR on portfolio cash flows), CAGR, and annualized returns. Use when the user asks about portfolio performance calculation, comparing manager returns, linking sub-period returns, understanding why different return methods give different numbers, converting returns across time periods, or computing the IRR of an investor's own contributions and withdrawals. Also trigger when users mention 'how much did I make', 'annual return', 'compound growth', 'dollar-weighted vs time-weighted', 'what was my rate of return', 'geometric vs arithmetic mean', 'log returns', or ask about the effect of cash flows on reported returns. For project or loan IRR, NPV, and generic 'solve for the rate' problems, use time-value-of-money instead.
npx skillsauth add joellewis/finance_skills return-calculationsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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$$R = \frac{V_{end} - V_{begin} + D}{V_{begin}}$$
where D = distributions (dividends, interest) received during the period. If V_end already reflects reinvested distributions, do not add D again.
R_a = (1/n) * sum(R_i) — unbiased estimate of the expected single-period return (use for forward-looking inputs, e.g., mean-variance optimization). Always >= geometric mean; overstates realized compound growth.R_g = [prod(1 + R_i)]^(1/n) - 1 — the correct measure of realized multi-period compound growth. The gap below the arithmetic mean approximates sigma^2 / 2 (volatility drag).r = ln(V_end / V_begin) — time-additive (r_total = r_1 + ... + r_n), so preferred for statistical modeling and multi-period aggregation. Convert with R_simple = e^r - 1 and r = ln(1 + R_simple). Log returns are additive across time but NOT across assets.$$CAGR = \left(\frac{V_{end}}{V_{begin}}\right)^{1/n} - 1$$
where n is measured in years. The annualized geometric growth rate between two valuations with no intermediate cash flows.
Chain-links sub-period returns calculated between each external cash flow, removing the effect of cash flow timing. TWR measures the manager's investment skill independent of investor deposit/withdrawal decisions, and is the GIPS standard for manager performance.
$$1 + R_{TWR} = \prod_{i=1}^{n}(1 + R_i), \qquad R_i = \frac{V_{end,i}}{V_{begin,i} + CF_i} - 1$$
Exact TWR requires a portfolio valuation on every cash flow date.
When valuations on each cash flow date are unavailable, Modified Dietz approximates the period return by day-weighting each external cash flow within the period:
$$R_{MD} = \frac{V_{end} - V_{begin} - CF_{net}}{V_{begin} + \sum_i CF_i \times w_i}, \qquad w_i = \frac{CD - D_i}{CD}$$
where CF_net = sum of external cash flows, CD = calendar days in the period, and D_i = day of flow i (so w_i is the fraction of the period the flow was invested). It is a money-weighted approximation; chain-linking Modified Dietz sub-period returns approximates TWR. Accuracy degrades when flows are large relative to portfolio value or markets are volatile within the period — revalue on large-flow dates instead.
The internal rate of return that sets the NPV of all investor cash flows (contributions, withdrawals, and terminal value) to zero:
$$0 = \sum_{t=0}^{T} \frac{CF_t}{(1 + r)^t}$$
MWR reflects the actual investor experience because it is sensitive to the timing and magnitude of cash flows. Solved numerically (Newton-Raphson or bisection).
$$R_{annual} = (1 + R_{period})^{periods_per_year} - 1$$
For example, a 2% quarterly return annualizes to (1.02)^4 - 1 = 8.24%.
$$(1 + R_{total}) = \prod_{i=1}^{n}(1 + R_i)$$
The foundational identity behind TWR and CAGR.
Given: An investment of $10,000 grows to $16,105.10 over exactly 5 years with no intermediate cash flows.
Calculate: The compound annual growth rate (CAGR).
Solution:
CAGR = (V_end / V_begin)^(1/n) - 1
CAGR = (16,105.10 / 10,000)^(1/5) - 1
CAGR = (1.610510)^(0.2) - 1
CAGR = 1.10 - 1
CAGR = 0.10 = 10%
The investment grew at a compound annual rate of 10% per year.
Verification: $10,000 * (1.10)^5 = $10,000 * 1.61051 = $16,105.10
Given: A fund has the following history:
Calculate: Both TWR and MWR, and explain the divergence.
Solution:
Time-Weighted Return (TWR):
Sub-period 1 return: R_1 = (120,000 - 100,000) / 100,000 = +20%
Sub-period 2 return: R_2 = (198,000 - 220,000) / 220,000 = -10%
TWR (cumulative) = (1 + 0.20) * (1 + (-0.10)) - 1
= 1.20 * 0.90 - 1
= 1.08 - 1
= +8.0%
TWR (annualized) = (1.08)^(1/2) - 1 = 3.92%
Money-Weighted Return (MWR / IRR): Cash flows from the investor's perspective:
Solve: -100,000 + (-100,000)/(1+r) + 198,000/(1+r)^2 = 0
This is quadratic in x = 1/(1+r); the positive root gives r = -0.66815% (verifiable with the bundled script or any IRR solver).
NPV check at r = -0.0066815:
-100,000 + (-100,000)/0.9933185 + 198,000/0.9933185^2
= -100,000 - 100,672.65 + 200,672.65
= 0.00 (exact)
The MWR is approximately -0.67% annualized.
Interpretation: The TWR of +3.92% annualized reflects the manager's skill: the fund gained 20% then lost 10%, netting +8% over two years. The MWR of approximately -0.67% reflects the investor's experience: more money was at risk during the losing year (Year 2) because of the large deposit, so the investor's dollar-weighted outcome was slightly negative. This divergence highlights why TWR is preferred for evaluating manager performance, while MWR better describes the specific investor's realized result.
(1.02)^52 - 1 = 180%, which amplifies noise and is misleading. Annualization is most meaningful for periods of at least one year.V_end already includes reinvested dividends, do not add D separately in the holding period return formula.scripts/return_calculations.py provides a Returns class with static methods for every formula above (holding period return, TWR, MWR/IRR via Newton's method, Modified Dietz is straightforward to compose from these, CAGR, annualization, linking, arithmetic/geometric means, log-return conversions).
uv run scripts/return_calculations.py (PEP 723 inline metadata resolves numpy automatically), or python3 scripts/return_calculations.py with numpy installed.--verify) prints a demo of all functions and asserts the worked-example values above (Example 1 CAGR = 10%, Example 2 TWR = +8.0% cumulative / 3.92% annualized, MWR = -0.6682%), exiting nonzero on any mismatch.--help lists the available functions and import usage.from return_calculations import Returns.testing
Model, forecast, and interpret volatility using time-series models and options-implied measures. Use when the user asks about EWMA, GARCH models, implied volatility, volatility surfaces, volatility term structure, or the VIX. Also trigger when users mention 'volatility smile', 'volatility skew', 'realized vs implied vol', 'volatility risk premium', 'vol clustering', 'mean-reverting volatility', 'options pricing inputs', 'RiskMetrics', 'decay factor', or ask how to forecast future volatility for risk management.
testing
Execute a complete tax-loss harvesting workflow from candidate identification through post-harvest monitoring. Use when the user asks about finding TLH candidates, gain/loss budgeting, replacement security selection, wash-sale compliance, or harvest execution planning. Also trigger when users mention 'unrealized losses in my portfolio', 'swap ETFs for tax purposes', 'harvest losses before year-end', 'substantially identical security', 'wash-sale window', 'NIIT offset', 'loss carryforward', or ask how much tax they can save by harvesting.
testing
Maximizes after-tax returns through strategic asset location, gain/loss management, and withdrawal sequencing. Use when the user asks about asset location, Roth conversions, tax-efficient withdrawals, tax lot selection, or charitable giving with appreciated securities. Also trigger when users mention 'which account should I hold bonds in', 'tax drag', 'Roth vs Traditional', 'RMD planning', 'bracket stuffing', 'HIFO vs FIFO', or ask how to minimize taxes on investments. For tax-loss harvesting execution and wash-sale mechanics, see the tax-loss-harvesting skill.
development
Plan and track savings for specific financial goals including retirement, education, and home purchase. Use when the user asks about required savings rates, 529 plans, retirement accumulation targets, down payment planning, or goal prioritization. Also trigger when users mention 'how much do I need to save each month', 'am I on track for retirement', 'college savings', 'safe withdrawal rate', '4% rule', 'FIRE savings rate', 'catch-up contributions', 'employer match', or ask how to balance competing savings goals.