Portfolio Diversification Check
Enter allocations and get a plain-language read on concentration, correlation, and estimated volatility.
Modern portfolio theory and risk minimization 🖖
Modern Portfolio Theory shows that investment risk can be reduced by combining assets with low or negative correlation. Statically, the variance of a portfolio is given by σ_p² = Σ w_i² σ_i² + Σ Σ w_i w_j σ_ij, where σ_ij is the covariance between assets. Diversification eliminates idiosyncratic risk, leaving only systemic market risk, allowing investors to maximize return for a given level of risk.
Owning many things is not diversification 🖖
Diversification is not about the number of holdings but about how differently they behave. If ten funds all track large US tech, they rise and fall together — a correlation near +1 — so you effectively hold one bet ten times. This tool measures those pairwise relationships so you can spot hidden overlap: a lower average correlation, not a longer list of tickers, is what actually smooths your returns.
Correlations spike toward 1 in a crash 🖖
A calm-market snapshot can badly overstate your protection. Correlations between risky assets are not fixed — they tend to jump toward +1 during panics, exactly when you most need them apart. In the 2008 crisis and the March 2020 crash, assets that normally drifted independently fell together. So a single lookback window gives one average number that can hide this regime shift, and diversification often fails at the worst possible moment.
Example problems
- 60/40 portfolio - Classic 60/40 mix often reduces volatility versus all-equity exposure.
- Tech growth - Tech-heavy basket tends to move together, increasing concentration risk.
- Crypto-heavy - Crypto-heavy allocation can materially increase portfolio volatility.
- All-weather style - Multi-asset all-weather style aims for lower cross-asset correlation.
- Europe balanced - Europe balanced