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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Bitcoin has historically offered a different return pattern from stocks and gold, but its much higher volatility can dominate portfolio risk. A sound comparison therefore uses a named proxy, the same return frequency and currency, an explicit observation window, standalone volatility, correlation with the stock portfolio, behavior during stock-market declines and the asset’s actual contribution to portfolio risk. The evidence below is mostly about Bitcoin versus the S&P 500 and gold—not every cryptocurrency, every stock market or every form of gold exposure.
Results are historical observations, not forecasts or personal allocation advice. Correlations changed materially across the periods studied, and a low average correlation did not guarantee protection when equities sold off.
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Start with a comparable test
“Crypto,” “stocks” and “gold” are categories, not single securities. Bitcoin, a diversified cryptocurrency index, a spot bitcoin holding and a bitcoin-linked exchange-traded product can have different fees, custody arrangements, liquidity and tracking results. Likewise, the S&P 500 represents large-cap US equities, while a global stock index has different countries, currencies and sector weights. Gold spot, futures, bullion and a gold fund also are not identical.
Before calculating anything, write down four choices:
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- Proxy: for example, Bitcoin, the S&P 500 and a specified gold price or fund series.
- Return convention: use the same currency, total-return or price-return basis and return interval for each asset.
- Observation window: identify start and end dates. A two-year sample can produce a very different result from a seven-year sample.
- Portfolio question: decide whether you are testing standalone risk, diversification, drawdown resilience, inflation sensitivity or a combination.
The cited studies use different proxies and windows. Their coefficients should be read as measurements for those particular definitions, not as one permanent ranking.
What the main comparisons actually represent
| Question | Evidence and proxy | Period or as-of date | What it can and cannot show |
|---|---|---|---|
| Relative volatility | Bitcoin versus the S&P 500, Nasdaq and gold, World Gold Council | Two years ending January 25, 2021 | Shows the size of return fluctuations in that sample; it is not a current estimate. |
| Changing equity correlation | Bitcoin and the S&P 500, International Monetary Fund | 2017–2019 and 2020–2021 | Demonstrates that co-movement can rise during later, more stressed conditions. |
| More recent correlation comparison | Bitcoin and gold relative to stocks, BlackRock Investment Strategy | Analysis through March 31, 2026 | Provides period-specific coefficients using the page’s stated index definitions; it is not a forecast. |
| Portfolio volatility contribution | Bitcoin substitutions in a simulated 60/40 portfolio, Fidelity Investments | January 2018–March 2024 | Shows how a small weight can account for a larger share of simulated volatility. |
| Risk-budget illustration | Gold or Bitcoin sized to contribute 2% of risk in Vanguard’s global 60/40 framework | Vanguard’s 2026 analysis, with different sample windows | Uses standalone volatility and excludes correlation with the core portfolio, so it is an illustration rather than an allocation rule. |
Standalone volatility: Bitcoin is the high-risk outlier in the cited samples
Volatility measures how widely returns move around their average. It counts upside and downside movement alike, so a high figure does not by itself mean an asset loses money; it means the path is less stable and position sizing matters more.
In a World Gold Council comparison covering the two years through January 25, 2021, Bitcoin was about three times as volatile as the S&P 500 or Nasdaq and more than 4.5 times as volatile as gold. The organization’s primary focus is gold and the result is dated, but the comparison illustrates why equal dollar allocations do not create equal risk.
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That relationship can change with the sample. Market regime, leverage, liquidity, the chosen bitcoin price series and whether returns are measured daily or weekly all affect the estimate. A reader should therefore treat “Bitcoin is more volatile” as a robust conclusion for the cited history, while treating any exact multiple as period-specific.
Correlation is useful, but it is not fixed
Correlation describes whether two assets tend to move together, from −1 (opposite movement) to +1 (movement in the same direction). A low value can improve diversification, but it says nothing about the size of either asset’s moves and does not guarantee a positive return when stocks fall.
Different periods produced different Bitcoin–stock relationships
The International Monetary Fund reported a Bitcoin–S&P 500 correlation of 0.01 for 2017–2019 and 0.36 for 2020–2021. Its analysis also documented larger spillovers during episodes of market volatility. The change is evidence that diversification relationships can strengthen or weaken under stress; it is not a permanent present-day coefficient.
A later measured window still requires context
BlackRock Investment Strategy reported a 0.53 Bitcoin–stock correlation and a 0.19 gold–stock correlation in its analysis through March 31, 2026. Those figures apply to the source’s stated benchmarks and window. They should not be compared mechanically with the IMF values as if the methods, frequencies and endpoints were identical. BlackRock also cautions that correlation must be considered alongside volatility and the return profile.
The practical implication is to calculate rolling correlations or correlations in separate market regimes rather than relying on one full-period average. A relationship that appears independent in calm markets may become more synchronized when investors sell risky assets at the same time.
Examine what happens when stocks fall
Average correlation can hide the experience that matters most to a diversified investor: the months when equities are under pressure. Split the sample into months in which the S&P 500 had its worst returns, then compare the median Bitcoin, bond and gold returns in those months. Repeat the exercise for strong-stock months.
In Fidelity’s historical analysis, bonds and gold had better median returns than Bitcoin during the S&P 500’s worst months, while Bitcoin tended to outperform in strong-stock months. That pattern means Bitcoin’s potential diversification benefit did not consistently translate into downside protection in the studied period. It also shows why an asset can have a low or moderate average correlation yet still fail to hedge a particular equity sell-off.
Use several downside definitions if possible: the worst 10% of monthly stock returns, every month below zero and the largest peak-to-trough drawdown. Report the number of observations; a conclusion based on only a handful of crisis months is fragile.
Translate volatility and correlation into portfolio risk
Portfolio risk depends on weight, each asset’s volatility and covariance with the other holdings. In simplified form, the variance of a two-asset portfolio is the sum of each weighted variance plus a covariance term. Consequently, a 1% dollar position in a very volatile asset can contribute much more than 1% of total portfolio volatility.
Fidelity’s Bitcoin substitution illustration
Fidelity Investments simulated a traditional 60/40 stock-and-bond portfolio with January 2018–March 2024 data. Replacing 1% of a stock or bond allocation with Bitcoin—or replacing 0.5% of each—contributed about 2.7% of simulated portfolio volatility. Replacing 5% of the stock allocation—or 2.5% of stocks and 2.5% of bonds—contributed 17.8% of simulated portfolio volatility.
These percentages are shares of simulated volatility, not forecasts of losses or returns. Fidelity’s analysis is Bitcoin-specific and warns that correlations and portfolio implications can change as markets evolve. It also notes, in a US context, that crypto holdings do not have FDIC or SIPC insurance and may be more susceptible to manipulation than securities.
Vanguard’s risk-budget example
Vanguard’s 2026 analysis estimated that a 2% contribution to total risk in its global 60/40 framework could correspond to about 11.5% gold or 3.5% Bitcoin. The calculation uses standalone volatility and does not account for either asset’s correlation with the core portfolio. It is therefore a way to show how different volatility levels translate into position sizes, not a recommendation to hold either percentage.
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When doing your own calculation, distinguish weight contribution (the percentage of dollars invested) from risk contribution (the percentage of portfolio variance or volatility attributable to a position). A spreadsheet should include the covariance matrix, not just each asset’s standalone standard deviation.
Can these assets hedge inflation?
Gold has a long history of being analyzed as a store of value, but its inflation relationship depends on the horizon, country, currency and starting valuation. Bitcoin’s trading history is much shorter and has included periods when it rose alongside risk assets, periods when it fell during tightening financial conditions and periods when it moved independently. The cited evidence does not establish a stable Bitcoin inflation hedge that can be generalized to every cryptocurrency.
Test the claim directly instead of inferring it from a rising price. Compare each asset’s real return—nominal return minus the relevant inflation rate—over several inflation regimes. Separate anticipated inflation from surprise inflation, and check whether the asset protected purchasing power during the same months that stocks and bonds struggled. A positive long-run association is not enough if the hedge arrives after the inflation shock or with drawdowns large enough to overwhelm the gain.
A repeatable comparison workflow
- Define the investable exposure. Name the exact Bitcoin series or product, stock index and gold series. Record fees, trading hours, custody and tracking differences.
- Set the window before looking at results. Use a start date, end date and return interval that apply to all assets. Add a second window to test sensitivity.
- Normalize the data. Put returns in one currency and choose total or price returns consistently. Adjust for distributions where the proxy requires it.
- Measure standalone volatility. Calculate annualized standard deviation and, separately, maximum drawdown. Volatility alone does not describe the depth or duration of losses.
- Measure correlation in regimes. Report full-period correlation, rolling correlation and correlation during the worst stock months.
- Inspect downside outcomes. Compare median and worst-decile returns for Bitcoin, gold and bonds when the stock index declines.
- Calculate risk contribution. Apply the proposed weights to the covariance matrix. Run small and large substitutions so the effect of position size is visible.
- Stress-test assumptions. Change the window, rebalance frequency, proxy and currency. If the conclusion changes, present it as conditional rather than definitive.
How to read the results without overclaiming
| If your result shows… | Interpretation | What it does not prove |
|---|---|---|
| Low average correlation but very high volatility | The asset may diversify movements but still dominate total portfolio risk. | That it will protect against a future crash. |
| Correlation rising in stressed periods | The diversification benefit may weaken precisely when needed. | That the asset is always correlated with stocks. |
| Better average return with deeper drawdowns | Investors are being paid, historically, for accepting a rougher path. | That the premium will persist. |
| Gold performing better in equity sell-offs | Gold may have served as the more reliable defensive diversifier in that sample. | That gold will rise in every stock decline. |
| A small weight producing a large risk share | Position sizing should be based on risk as well as dollars. | That a particular allocation is suitable for an individual. |
Implementation, costs and practical constraints
Statistical results describe an index or price series, not necessarily the return an investor receives. A direct Bitcoin holding can involve custody decisions, wallet security and trading spreads; a Bitcoin-linked product can introduce management fees, tracking differences and counterparty or market-structure considerations. Gold exposure can likewise come through spot pricing, futures, bullion or a fund, each with different carrying costs, liquidity and tracking behavior. The comparison is meaningful only when the chosen proxy matches the exposure a reader could actually buy.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallMarket calendars also matter. Bitcoin trades continuously, while stock exchanges and many gold benchmarks close on weekends and holidays. If a daily Bitcoin price is paired with a closing stock price, a move that occurs after the stock market closes can appear in different observations. Use a clearly documented timestamp or a common return interval, and test whether weekly or monthly data changes the conclusion.
Taxes, fees and custody are not captured by a simple correlation coefficient. Fidelity’s US-context warning is also relevant to operational risk: crypto holdings do not have FDIC or SIPC insurance, and the analysis notes greater susceptibility to manipulation than securities. These are not volatility statistics, but they can affect realized outcomes and should be listed beside the market-data assumptions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Questions a robust comparison should answer
Before accepting a result, ask whether the sample includes both rising and falling markets, whether the number of downside observations is adequate, and whether the result survives a different currency or return frequency. Check whether the portfolio is rebalanced; a buy-and-hold test and a regularly rebalanced test can produce different weights and risk contributions. Finally, label every number with its source, proxy, window and as-of date so a reader does not mistake a historical coefficient for a live forecast.
Common comparison errors
- Using “crypto” as if it were one asset. Bitcoin evidence cannot be transferred automatically to smaller tokens, stablecoins or decentralized-finance projects.
- Mixing incompatible benchmarks. A US large-cap index, a global equity fund and a single-country stock index answer different questions.
- Comparing unmatched dates. Crypto trades continuously while many stock and gold benchmarks have different market hours and holiday calendars.
- Treating volatility as loss probability. Standard deviation counts gains and losses; pair it with drawdown and downside statistics.
- Relying on one correlation number. Correlation is sample-dependent and can change during market stress.
- Ignoring implementation risk. Custody, counterparty exposure, liquidity, taxes, fees and market manipulation can materially alter the experience of a crypto-linked holding.
- Turning a historical simulation into advice. The Fidelity and Vanguard figures describe particular models and periods, not an appropriate allocation for every investor.
Bottom line for a fair comparison
Use Bitcoin, the S&P 500 and a defined gold exposure only as clearly labeled proxies. Measure the same period and return convention, then evaluate volatility, rolling and downside correlation, drawdowns and portfolio risk contribution together. The cited history shows Bitcoin’s volatility was far higher than stocks or gold, its correlation with equities changed substantially, and its small dollar weights could account for a disproportionate share of portfolio volatility. Gold and bonds provided better median outcomes than Bitcoin in Fidelity’s worst-stock months. Those findings can inform a risk analysis, but they cannot forecast the next regime or establish an inflation hedge for every cryptocurrency.
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Does low correlation make Bitcoin a good diversifier?
Not by itself. Bitcoin’s correlation with the S&P 500 was 0.01 in 2017–2019 and 0.36 in 2020–2021 in IMF analysis, while BlackRock reported 0.53 in its analysis through March 31, 2026. Correlation can rise during stress, and Bitcoin’s much higher volatility can still dominate portfolio risk.
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Which is less volatile: gold, stocks or Bitcoin?
In the World Gold Council’s two-year comparison ending January 25, 2021, Bitcoin was about three times as volatile as the S&P 500 or Nasdaq and more than 4.5 times as volatile as gold. Those multiples are historical and period-specific, but they illustrate the large volatility gap.
Can Bitcoin hedge inflation like gold?
The available history does not establish a stable Bitcoin inflation hedge, and the conclusion cannot be generalized to every cryptocurrency. Test real returns across several inflation regimes, separating anticipated from surprise inflation, and examine whether protection occurred during the same months that stocks and bonds struggled.
Why can a 1% Bitcoin allocation create more than 1% of portfolio risk?
Risk contribution depends on the position’s weight, its standalone volatility and its covariance with the rest of the portfolio. Fidelity’s January 2018–March 2024 simulation found that a small Bitcoin substitution contributed about 2.7% of simulated portfolio volatility, while the larger substitution contributed 17.8%.
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Is gold guaranteed to rise when stocks fall?
No. Fidelity found gold and bonds had better median returns than Bitcoin in the S&P 500’s worst months in its study, but that does not mean gold rises during every equity decline. Downside results depend on the selected period, definition of a bad month and market regime.
What should I record before comparing the assets?
Record the exact proxy, currency, price- or total-return convention, return frequency, start and end dates, fees, custody or tracking assumptions, and rebalancing rule. Then report standalone volatility, drawdown, rolling and downside correlation, and risk contribution from a covariance matrix.
The Bottom Line
Bottom line: Compare clearly defined Bitcoin, stock and gold proxies over the same dates, then judge volatility, correlation, downside behavior and portfolio risk together. Historical evidence shows Bitcoin can diversify some movements but may contribute disproportionate risk and may not protect during equity sell-offs.
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