Portfolio Allocation Calculator
Compute each holding's weight with wᵢ = (Vᵢ / ΣV) × 100, compare it against your target mix, and quantify concentration with the Herfindahl index, effective number of holdings and required rebalancing turnover. Live donut chart, drift bars with target markers, and step-by-step working for every asset.
MODEL PORTFOLIOS
HOLDINGS
| Asset | Value | Current % | Target % | Drift | Trade to reach target |
|---|
Weights are relative, not absolute
Every weight is a ratio, so the currency, the broker and the absolute size of the portfolio are irrelevant. A $10,000 portfolio split 60/40 and a $10,000,000 portfolio split 60/40 have identical allocations. This is why the calculator normalises automatically — it is the proportions that determine the risk and return characteristics of the whole, not the headline number.
Concentration drives risk more than selection
Academic work on portfolio construction consistently finds that the allocation across asset classes explains the large majority of the variation in a portfolio's returns over time — considerably more than the choice of individual securities within each class. A portfolio of ten excellent stocks in one sector is far riskier than a portfolio of three broad index funds across three asset classes, even though the first looks more diversified by name count.
Diversification needs low correlation, not many names
Adding a fifteenth technology stock does almost nothing to reduce risk, because all fifteen move together. Adding a bond fund, a gold position or an international index does far more with a single line item, because those assets respond differently to the same economic events. The effective number of holdings — 1/HHI — captures this only partially; it counts the balance of the weights but cannot see the correlations. A well-diversified portfolio needs both even weights and genuinely different exposures.
Drift is inevitable, and rebalancing is the fix
Left alone, the best-performing asset grows into a larger and larger share of the portfolio, quietly raising the overall risk. Rebalancing sells some of what has done well and buys what has done poorly, restoring the intended mix. The turnover figure — half the sum of the absolute drifts — is the fraction of the portfolio that must be traded to get back on target. Because trading has costs, most investors use drift bands of 5% or annual rebalancing rather than continuous adjustment.
How to Use This Calculator
List your holdings, enter a value for each, and optionally a target weight. The calculator does the rest — weights, drift, rebalancing trades and concentration metrics.
1. Load a model portfolio or start from scratch
The presets cover the classic allocations — equal weight, 60/40, three-fund, all-weather, aggressive growth and conservative income. Loading one replaces the holdings list with that mix and sets the targets equal to the weights.
2. Enter each holding's value
Type the current market value of each position in any currency. Only the proportions matter, so you can use dollars, euros, satoshis or arbitrary units — the weights come out the same.
3. Set your target mix
Enter the percentage you want each asset to occupy. If the targets do not sum to 100%, the calculator normalises them proportionally and tells you what it did. Use "Set targets to current weights" to lock in your present allocation as the baseline.
4. Read the result and verdict
The result card highlights your largest holding with a colour-coded concentration verdict. Click any row to make it the focus of the step-by-step working and the sensitivity table.
5. Work the rebalancing plan
The rebalancing table shows each asset's drift from target and the exact trade needed to fix it — positive means buy, negative means sell. The turnover figure tells you what fraction of the portfolio you would need to trade.
6. Switch to Advanced for the deeper metrics
Advanced mode adds the allocation donut, a sensitivity table showing how a ±10% move in one holding shifts every weight, and companion metrics including the Herfindahl index, effective number of holdings, top-three concentration and the equal-weight benchmark.
What This Tool Offers
Built around the weight formula wᵢ = (Vᵢ / ΣV) × 100, the foundation of every asset allocation decision.
Unlimited holdings
Add up to twelve assets with editable names and values. Click any row to focus the step-by-step working and the sensitivity analysis on it.
Live donut and weight bars
A colour-coded donut with legend, plus horizontal weight bars that carry a marker showing each asset's target so drift is visible at a glance.
Full rebalancing plan
Per-asset drift in percentage points and the exact dollar trade required to reach target, plus the total turnover needed to bring the whole portfolio back on track.
Concentration verdict
Each portfolio is classified from highly concentrated through moderately diversified up to broadly diversified, using both the largest holding and the effective number of holdings.
Seven model portfolios
One click loads equal weight, 60/40, three-fund, all-weather, aggressive growth, conservative income or the balanced five-asset default.
Reference tables
Model portfolio templates, a Herfindahl index interpretation table, an equal-weight benchmark grid, and a full variable reference.
Reference Tables & Conversions
Model portfolio templates, a concentration interpretation table, and an equal-weight benchmark grid.
Model Portfolio Templates
Common allocations used by pension funds, robo-advisers and target-date funds. Targets shown as percentages of total portfolio value.
| Model | Equities | Bonds | Real assets | Cash | Typical use |
|---|---|---|---|---|---|
| Conservative income | 20% | 50% | 10% | 20% | Near or in retirement, capital preservation |
| Classic 60/40 | 60% | 40% | 0% | 0% | The long-standing balanced default |
| Three-fund | 72% | 28% | 0% | 0% | US + international equity plus bonds |
| Balanced five-asset | 45% | 25% | 23% | 7% | Multi-asset diversification |
| All-Weather | 30% | 55% | 15% | 0% | Risk parity across economic regimes |
| Aggressive growth | 90% | 0% | 10% | 0% | Long horizon, high risk tolerance |
| Equal weight | varies | varies | varies | varies | No view on relative value |
Concentration — Herfindahl Index Interpretation
HHI = Σ wᵢ² using weights as fractions. It ranges from 1/N (perfectly equal weight across N assets) up to 1 (single holding). The effective number of holdings is 1/HHI.
| HHI range | Effective N | Largest holding | Interpretation |
|---|---|---|---|
| 0.00 – 0.10 | 10+ | under 20% | Broadly diversified — a genuinely balanced multi-asset portfolio |
| 0.10 – 0.15 | 6.7 – 10 | 20 – 28% | Well diversified — typical of a thorough index-based portfolio |
| 0.15 – 0.25 | 4 – 6.7 | 28 – 40% | Moderately diversified — acceptable if the largest positions are broad funds |
| 0.25 – 0.40 | 2.5 – 4 | 40 – 55% | Concentrated — a single holding dominates the outcome |
| 0.40 – 0.70 | 1.4 – 2.5 | 55 – 80% | Highly concentrated — effectively a bet on one or two positions |
| 0.70 – 1.00 | 1 – 1.4 | 80%+ | Single-asset portfolio — no meaningful diversification |
Equal-Weight Benchmark
For reference: the weight, HHI and largest holding for a perfectly equal-weight portfolio of N assets.
| Number of assets | Equal weight each | HHI (equal) | Top-3 concentration |
|---|
Variable Reference
| Symbol | Meaning | Domain | Typical range |
|---|---|---|---|
| Vᵢ | Market value of holding i | ≥ 0 | Any currency |
| ΣV | Total portfolio value | > 0 | Sum of all holdings |
| wᵢ | Weight of holding i | 0 – 100% | Sum of all weights = 100% |
| tᵢ | Target weight of holding i | 0 – 100% | Sum of all targets = 100% |
| HHI | Herfindahl–Hirschman index | 1/N – 1 | 0.05 – 0.60 in practice |
| Neff | Effective number of holdings = 1/HHI | 1 – N | 3 – 12 in practice |
| Turnover | ½ Σ |wᵢ − tᵢ| | 0 – 100% | 0 – 15% in a typical rebalance |
What Does wᵢ = (Vᵢ / ΣV) × 100 Measure?
The weight of a holding is its share of the total portfolio value. It is the single most important number in portfolio construction, because it determines how much each position contributes to the portfolio's overall return and, just as importantly, to its risk. A holding with a 5% weight contributes five cents of every dollar of return; a holding with a 50% weight contributes fifty cents. The weights, not the list of names, define the portfolio.
The Allocation Formula
Each asset's weight as a percentage:
As a decimal fraction, which is what the risk formulas use:
The portfolio's expected return is the weighted average of the asset returns:
And its variance depends on the weights, the individual variances and the covariances between assets:
That double sum is the mathematical statement of diversification: when correlations ρᵢⱼ are below 1, the portfolio variance is less than the weighted average of the individual variances.
Why Weights Matter So Much
Modern portfolio theory, from Markowitz onward, rests on the observation that the risk of a portfolio is not the average of the risks of its parts. Because assets do not move in perfect lockstep, combining them reduces the volatility of the whole. The weights determine how much of that reduction you actually capture.
The Herfindahl–Hirschman index condenses the weight distribution into a single number. Squaring each weight before summing gives disproportionate influence to large positions: a portfolio split evenly between ten assets has HHI = 10 × 0.1² = 0.10, while a portfolio with one 90% position and ten 1% positions has HHI ≈ 0.81 — even though both hold eleven names. The effective number of holdings, 1/HHI, converts that back into an intuitive count: ten equal positions have Neff = 10, while the concentrated portfolio has Neff ≈ 1.2, telling you plainly that it behaves like a single holding.
What HHI cannot see is correlation. A portfolio of five technology stocks has the same HHI as a portfolio of five genuinely different asset classes, but very different risk. HHI measures balance; correlation measures independence. Real diversification needs both, which is why the practical advice is to diversify across asset classes first and within them second.
Drift, Rebalancing and Turnover
Once you hold a portfolio, the weights do not stay put. If equities return 20% while bonds return 2%, a 60/40 portfolio drifts toward 65/35 on its own. Left unchecked, the winners grow into ever-larger positions, and the portfolio's risk profile quietly shifts. Rebalancing restores the target mix by selling what has outperformed and buying what has underperformed — a discipline that is emotionally difficult and mechanically simple.
The amount of trading required is measured by turnover: half the sum of the absolute drifts, expressed as a fraction of the portfolio. If the weights are 65/35 against a 60/40 target, the drift on each side is 5 percentage points, so turnover is ½ × (5% + 5%) = 5%. That means trading 5% of the portfolio's value. Because every trade has a cost — commissions, spreads, taxes on realised gains — most investors rebalance on a schedule (annually or semi-annually) or when drift exceeds a band of 5 percentage points, rather than continuously.
Worked Examples
Total = 45,000 + 25,000 + 15,000 + 8,000 + 7,000 = $100,000
w = ( 45,000 / 100,000 ) × 100 = 45.00%
w = ( 25,000 / 100,000 ) × 100 = 25.00%
HHI = 0.45² + 0.25² + 0.15² + 0.08² + 0.07²
= 0.2025 + 0.0625 + 0.0225 + 0.0064 + 0.0049 = 0.2988
Effective holdings Neff = 1 / 0.2988 = 3.35
US Equities: 45% → 40%, drift −5 pts, sell $5,000
Real Estate: 15% → 20%, drift +5 pts, buy $5,000
Turnover = ½ × (|−5| + |0| + |5| + |0| + |0|) = 5.00%
w = ( 250,000 / 1,000,000 ) × 100 = 25.00%
Frequently Asked Questions
Fewer than most people think, provided they are genuinely different. Research on broad equity portfolios suggests that the bulk of the diversifiable risk is eliminated by around 20–30 individual stocks within a single market — but that assumes they are spread across sectors and not all correlated with each other. Across asset classes the number is far smaller: a portfolio of four or five genuinely distinct exposures (domestic equity, international equity, bonds, real assets, cash) captures most of the available diversification benefit. What matters is correlation, not count. Adding a tenth technology stock to nine others does essentially nothing; adding a single bond fund to an all-equity portfolio changes the risk profile substantially.
The Herfindahl–Hirschman index is the sum of the squared weights. Squaring means a 50% position contributes 0.25 to the index while a 5% position contributes only 0.0025 — a hundredfold difference in influence, even though the weights differ only tenfold. That is exactly what you want: concentration risk is dominated by the large positions. Counting holdings treats a portfolio with one 90% position and nine 1% positions as having ten holdings, which is misleading. HHI correctly identifies it as nearly a single-asset portfolio. The effective number of holdings, 1/HHI, restates the index on a count-like scale, so a portfolio with HHI = 0.2988 behaves roughly like one holding 3.35 equally weighted assets.
Two approaches dominate. Calendar rebalancing fixes a schedule — quarterly, semi-annually or annually — and trades back to target on those dates regardless of how far the portfolio has drifted. Threshold rebalancing monitors the drift and trades only when a position moves more than a set band, typically 5 percentage points, from its target. Most evidence suggests the two produce similar long-run results, and that rebalancing more often than annually adds trading costs and tax drag without reliably improving returns. The important thing is to have a rule and follow it: ad hoc rebalancing tends to become selling winners after they have already run and buying losers before they have finished falling. In taxable accounts, prioritise rebalancing with new contributions and dividends before selling anything.
For the allocation itself, only the percentages matter. A portfolio of $10,000 split 60/40 and a portfolio of $10,000,000 split 60/40 have identical weights, identical expected returns in percentage terms, and identical risk. The absolute values matter for two things only: the size of the trades required to rebalance, and practical constraints like minimum purchase sizes, transaction costs and the fact that a 1% position in a $5,000 portfolio is a $50 holding that may not be worth the commission. This is why very small portfolios often benefit from holding fewer positions — the diversification benefit of the tenth holding is real but smaller than the cost of acquiring it.
There is no universally correct answer, because the right allocation depends on your time horizon, your tolerance for drawdowns, your need for liquidity, and your other assets such as a house or a pension. The broad principles are well established: a longer horizon supports a higher equity weight, because equities are volatile over short periods but have historically outperformed over decades; a nearer need for the money argues for bonds and cash; and a portfolio you cannot hold through a 40% drawdown without selling is too aggressive regardless of what a questionnaire says. The model templates on this page — conservative income, 60/40, three-fund, all-weather, aggressive growth — cover the range most individual investors fall into, and the calculator lets you test any of them against your current holdings.
It depends on what question you are answering. For retirement planning, many advisers include the expected value of a pension and sometimes the equity in a home in a total net-worth picture, because both reduce the need for other assets to fund later life. For day-to-day investment decisions, it is usually clearer to keep them separate: a house is illiquid, undiversified and consumed rather than spent, and an emergency fund exists precisely so that it is not invested. A practical compromise is to build your investment allocation from the liquid, investable assets only, and then note the pension and property alongside as context. If you include them, be consistent about it, because mixing the two approaches produces misleading weights.
Because each holding grows at a different rate. If equities return 20% in a year and bonds return 2%, the equity portion of a 60/40 portfolio grows faster and its weight rises — from 60% to roughly 64% after a single year of that divergence. Nothing was bought or sold; the market did the rebalancing in the wrong direction. This is why drift is inevitable in any multi-asset portfolio and why rebalancing exists as a discipline rather than as a response to a problem. Over long periods the drift can be substantial: a portfolio left untouched for a decade of strong equity returns can end up with an equity weight far above its target, and a correspondingly higher risk profile than the owner ever intended.
Four techniques, in rough order of preference. First, direct new contributions to the underweight asset rather than selling anything — this fixes drift at zero cost. Second, reinvest dividends and distributions into the underweight position instead of taking them in cash. Third, do your selling inside tax-advantaged accounts (a 401(k), IRA, ISA or SIPP) where capital gains are not triggered, and hold your most tax-inefficient assets there. Fourth, if you must sell in a taxable account, use specific-lot identification to sell the highest-cost lots first, minimising the realised gain. Many investors find that contributions and dividends alone are enough to keep a portfolio within a 5% drift band for years, particularly during the accumulation phase when contributions are large relative to the portfolio.
Variables
| Symbol | Quantity | Unit |
|---|---|---|
| Allocation | Asset allocation percentage | % |
| Value of Asset | Current value of the specific holding | currency |
| Total Portfolio Value | Total value of all holdings combined | currency |
What it means
Portfolio allocation percentage shows how much of a portfolio is invested in a particular asset. It is used to assess diversification, to identify over‑concentration, and to guide rebalancing decisions. In crypto, volatility can cause allocations to drift significantly. Rebalancing is the process of adjusting positions back to target allocations. Understanding allocation percentages helps investors manage risk and maintain a desired risk‑return profile. It is a core concept in portfolio management and is essential for building a well‑diversified crypto portfolio.
Worked example
Portfolio Allocation Percentage – Two Detailed Examples
Real‑World| Parameter | Value |
|---|---|
| Asset Value | $25,000 |
| Total Portfolio Value | $100,000 |
| Parameter | Value |
|---|---|
| Asset Value | $5,000 |
| Total Portfolio Value | $20,000 |
Common mistakes
- Asset value: Quantity × current price – in the same currency as total portfolio.
- Sum of allocations: All allocations should add up to 100% (or 1).
- Rebalancing: Allocations change with price movements – monitor regularly.
Applications
Portfolio allocation percentage calculates the relative weight of each asset in a portfolio, expressed as a percentage of the total value. This is fundamental for diversification and risk management. Investors use it to ensure that no single asset dominates their portfolio, to rebalance to target weights, and to monitor the impact of price changes on overall composition. By tracking allocation percentages, they can make informed decisions about buying or selling to maintain a desired risk profile. Portfolio allocation is also used in performance attribution and in reporting to stakeholders. Understanding asset allocation is essential for building a balanced crypto portfolio.
- Diversification analysis and risk management
- Setting target allocations and rebalancing
- Performance attribution and source identification
- Reporting and communication of portfolio composition
- Automated portfolio management strategies
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