
return-calculations
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.
- Installs
- 708
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/joellewis/finance_skills --skill return-calculations- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads return-calculations automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Return Calculations
Core Concepts
Simple (Holding Period) Return
$$R = \frac{V_{end} - V_{begin} + D}{V_{begin}}$$
where D = distributions (dividends, interest) received during the period. If V_end already reflects reinvested distributions, do not add D again.
Mean and Log Return Conventions
- Arithmetic mean
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. - Geometric mean
R_g = [prod(1 + R_i)]^(1/n) - 1— the correct measure of realized multi-period compound growth. The gap below the arithmetic mean approximatessigma^2 / 2(volatility drag). - Log return
r = ln(V_end / V_begin)— time-additive (r_total = r_1 + ... + r_n), so preferred for statistical modeling and multi-period aggregation. Convert withR_simple = e^r - 1andr = ln(1 + R_simple). Log returns are additive across time but NOT across assets.
CAGR (Compound Annual Growth Rate)
$$CAGR = \left(\frac{V_{end}}{V_{begin}}\right)^{1/n} - 1$$
where n is measured in years. The annualized geometric growth rate between two valuations with no intermediate cash flows.
Time-Weighted Return (TWR)
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.
Modified Dietz Return
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.
Money-Weighted Return (MWR / IRR)
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).
Annualization
$$R_{annual} = (1 + R_{period})^{periods_per_year} - 1$$
For example, a 2% quarterly return annualizes to (1.02)^4 - 1 = 8.24%.
Sub-Period Linking
$$(1 + R_{total}) = \prod_{i=1}^{n}(1 + R_i)$$
The foundational identity behind TWR and CAGR.
Worked Examples
Example 1: Computing CAGR from a 5-Year Investment
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
Example 2: TWR vs MWR Divergence with Poorly Timed Cash Flow
Given: A fund has the following history:
- Start of Year 1: Portfolio value = $100,000
- End of Year 1: Portfolio value = $120,000 (return = +20%)
- Start of Year 2: Investor deposits $100,000, bringing portfolio to $220,000
- End of Year 2: Portfolio value = $198,000 (return = -10%)
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:
- t=0: -$100,000 (initial investment)
- t=1: -$100,000 (additional deposit)
- t=2: +$198,000 (terminal value)
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.
Common Pitfalls
- Confusing arithmetic and geometric means: the arithmetic mean is always greater than or equal to the geometric mean (AM-GM inequality). Using arithmetic mean to project compounded growth overstates terminal wealth.
- Using arithmetic mean for multi-period compounding: always use geometric mean or CAGR when describing compound growth over multiple periods.
- Annualizing returns from very short periods: annualizing a 2% weekly return yields
(1.02)^52 - 1 = 180%, which amplifies noise and is misleading. Annualization is most meaningful for periods of at least one year. - Ignoring cash flow timing when TWR is appropriate: MWR conflates manager skill with investor timing decisions. Use TWR for manager evaluation.
- Double-counting dividends: if the ending value
V_endalready includes reinvested dividends, do not addDseparately in the holding period return formula. - Trusting Modified Dietz with large intra-period flows: when a single flow exceeds roughly 10% of portfolio value, revalue the portfolio on the flow date rather than day-weighting.
Running the Script
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).
- Run:
uv run scripts/return_calculations.py(PEP 723 inline metadata resolves numpy automatically), orpython3 scripts/return_calculations.pywith numpy installed. - Bare invocation (or
--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. --helplists the available functions and import usage.- For programmatic use, import rather than run:
from return_calculations import Returns.
Cross-References
- time-value-of-money (core plugin): NPV, IRR, and discounting concepts overlap with MWR calculations; owns project/loan IRR
- statistics-fundamentals (core plugin): Arithmetic and geometric means, return distribution analysis
FAQ
What does the return-calculations skill do?
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.
How do I install return-calculations?
Run npx skills add https://github.com/joellewis/finance_skills --skill return-calculations in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/return-calculations/ (personal) or .claude/skills/return-calculations/ (project).
Which AI agents can use return-calculations?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is return-calculations safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains return-calculations?
It is published by joellewis in joellewis/finance_skills. It has 708 recorded installs.
More from joellewis/finance_skills
asset-allocation
joellewis/finance_skills
Determine how to distribute capital across asset classes using strategic and tactical allocation frameworks. Use when the user asks about portfolio allocation, mean-variance optimization, Black-Litterman, risk parity, glide paths, or target-date strategies. Also trigger when users mention 'how much in stocks vs bonds', '60/40 portfolio', 'policy portfolio', 'core-satellite', 'liability-driven investing', 'asset-liability matching', or ask how to split their money across investments.
statistics-fundamentals
joellewis/finance_skills
Apply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when the user asks about return distributions, correlation between assets, building a covariance matrix, running a CAPM regression, testing whether alpha is significant, checking if returns are normal, or estimating confidence intervals. Also trigger when users mention 'volatility', 'how correlated are these', 'fat tails', 'skewness', 'R-squared', 'beta of a fund', 'bootstrap a Sharpe ratio', 'shrinkage estimator', 'Ledoit-Wolf', or ask why their optimizer produces unstable weights.
quantitative-valuation
joellewis/finance_skills
Estimate intrinsic value of stocks and companies using DCF, dividend discount models, comparable multiples, and residual income. Use when the user asks about discounted cash flow, DCF models, WACC, terminal value, dividend discount models, comparable multiples, or sum-of-the-parts valuation. Also trigger when users mention 'what is this stock worth', 'fair value estimate', 'Gordon growth model', 'free cash flow valuation', 'cost of equity', 'sensitivity analysis', 'exit multiple', or ask whether a stock is overvalued or undervalued.
finance-psychology
joellewis/finance_skills
Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives. Use when the user asks about behavioral finance, money psychology, loss aversion, overconfidence, herd behavior, or emotional investing. Also trigger when users mention 'why do I panic sell', 'money fights with my spouse', 'I can never save enough', 'fear of investing', 'lifestyle creep', 'keeping up with the Joneses', 'Rich Life', 'money scripts', or ask how emotions affect financial decisions.
commodities
joellewis/finance_skills
Analyze commodity markets including futures curve dynamics, roll yield, and supply/demand fundamentals. Use when the user asks about commodity investing, commodity ETFs, contango, backwardation, roll yield, commodity indices (GSCI, BCOM), or commodities as an inflation hedge. Also trigger when users mention 'oil prices', 'gold as a safe haven', 'agricultural futures', 'convenience yield', 'storage costs', 'natural gas', 'copper demand', or ask why commodity ETF returns differ from spot price changes.
investment-policy
joellewis/finance_skills
Construct comprehensive Investment Policy Statements governing return objectives, risk tolerance, and portfolio constraints. Use when the user asks about building an IPS, setting return objectives, assessing risk tolerance, defining investment constraints, or establishing rebalancing and benchmark policies. Also trigger when users mention 'investment plan', 'policy portfolio', 'risk capacity vs willingness', 'spending rate for an endowment', 'foundation payout', 'manager selection criteria', or ask how to document their investment strategy.
Popular business & finance skills
sales-enablement
coreyhaines31/marketingskills
When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure),
revops
coreyhaines31/marketingskills
When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'outbound pipeline stages,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,' 'lead qualification,' or 'when should marketing hand off to sales.' Use this for anything involving the systems and processes that connect marketing to revenue. For cold outreach emails, see cold-email. For email drip campaigns, see emails. For pricing decisions, see pricing.
sales-funnel-blueprint
autonnel/autonnel-skills
Turn an offer into a concrete multi-step sales funnel spec - page-by-page structure, price ladder, copy outline and the metrics each step must hit. Use when asked to build a sales funnel, marketing funnel, landing page flow, lead magnet funnel, webinar funnel, tripwire or VSL funnel, when planning a product launch page flow, or when someone asks "what pages do I need" for selling something online.
pricing
coreyhaines31/marketingskills
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.
cross-border-ecommerce
nexscope-ai/ecommerce-skills
Cross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion roadmap. No API key required.
pricing-strategy
coreyhaines31/marketingskills
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywall-upgrade-cro.