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Asset Classes by Personality

Eight asset classes — equities, Bitcoin, real estate, Treasuries, T-bills, gold, and broad commodities — compared through variance, geometric growth, drawdowns, correlation, and Sharpe ratios.

April 5, 2026

Marek Pawlowski

18 min read

Part II of The Mathematics of Diversification

TL;DR

Eight asset classes — S&P 500, NASDAQ 100, Bitcoin, real estate, Treasury bonds, T-bills, gold, and broad commodities — compared through variance, drawdowns, correlation, and Sharpe ratios. Real estate and gold lead on risk-adjusted return; T-bills are the boring anchor that defines the risk-free rate; Treasuries are a real diversifier when equities crack but carry hidden duration risk (see 2022); commodities zigzag with global supply shocks; Bitcoin’s raw returns are extreme but so is its variance tax. NASDAQ and S&P move almost identically — holding both is redundant. No asset is universally best; the right mix depends on your edge, ruin tolerance, and what you already hold.

I

Meet the players

In Part I we built the toolkit: variance, the Kelly Criterion, geometric vs. arithmetic returns, systematic risk, correlation, and tail events. Now we apply those tools to eight asset classes that most investors actually consider. Each has a distinct personality — a different balance of return, variance, drawdown depth, and correlation behaviour.

S&P 500

500 large-cap US companies. The benchmark. Roughly 10.5% annualized over 100 years including dividends. Moderate volatility, deep liquidity, broad diversification baked in.

Tech stocks (NASDAQ 100)

The 100 largest non-financial companies on NASDAQ. ~65% technology weight. Higher returns than the S&P — but with higher variance and concentration in a single sector thesis.

Bitcoin

The best-performing asset of the last decade — and the most volatile. Supply-capped at 21 million. Increasingly correlated with equities post-2024 ETF approval.

Real estate

Residential property + rental income. Lower volatility, inflation hedge, leverage-amplified returns. Illiquid, management-intensive, and highly local.

Treasury bonds (10Y)

US 10-year Treasuries. Government credit, near-zero default risk. Returns driven by interest-rate moves: rallied hard 2019–20 as yields collapsed, crashed in 2022 when rates spiked. Lower volatility than equities, but duration risk is real.

Cash & T-bills

3-month Treasury bills — effectively the risk-free rate. Nominal interest, no principal volatility, near-perfect liquidity. Lost ~30% real purchasing power 2021–23 to inflation despite zero nominal drawdown.

Gold

Physical gold or GLD ETF. Inflation, geopolitical, and central-bank-balance-sheet hedge — all three fired between 2019 and 2025. Pays no yield. Equity-like volatility but a different return driver.

Commodities (broad)

Diversified commodity index — energy, agriculture, metals. Real-asset exposure tied to global supply / demand cycles. Crashed during COVID, boomed 2021–22 with the Russia / Ukraine shock, normalized since. High volatility, weak long-term geometric return, cycles largely independent of equities.

II

Returns — the headline that hides everything

If you only look at returns, the ranking seems obvious. Bitcoin dominates, tech outpaces the broad market, real estate trails the equity ride, and the “safe” assets — bonds, T-bills, gold, commodities — look pedestrian by comparison. But Part I taught us that the headline return is the arithmetic average — the number that lies. What matters is the geometric compound rate, net of the variance tax.

The chart below shows the approximate growth of $10,000 invested in each asset class from 2015 to 2025. Log scale, so equal vertical distances = equal percentage moves. On a linear scale, Bitcoin would make everything else look like a flatline.

Growth of $10,000 — 2015 to 2025 (log scale)

Each asset's geometric reality. The vertical axis is logarithmic — equal visual distances = equal percentage moves.

S&P 500NASDAQ 100BitcoinReal estate (total return)Treasury bonds (10Y)T-bills (3M)GoldCommodities (broad)
$1K$10K$100K$1M$10M20152016201720182019202020212022202320242025

Over Jan-2015 to Dec-2025 — a window that starts near a Bitcoin trough and well into the post-GFC equity recovery, so be cautious about extrapolating — Bitcoin’s compound annual growth rate came in around 57%. The NASDAQ 100 delivered roughly 19%annualized (total return). The S&P 500 came in around 14% (total return). Real estate, including rental income, delivered approximately 8%. Gold compounded at about 11% over the same window — its 2024–25 surge on geopolitics and central-bank buying lifted the run. Broad commodities returned roughly 5% annualized despite a brutal 2020 and a 2022 spike. T-bills clocked approximately 2%. 10-year Treasuries approximately 0%nominal — the 2022 bond bear erased almost a decade of coupons. Shift the start date by a single year and most of these figures move several points; Bitcoin’s swings 15–25 points. Those are the numbers people share at dinner parties — usually without the window.

Now let’s look at what those numbers cost.

III

The variance tax — what returns cost

From Part I: variance silently destroys geometric growth. Two assets can have the same arithmetic return but wildly different geometric outcomes. The formula linking them is approximately:

g ≈ μ − σ²/2
g = geometric returnμ = arithmetic returnσ² = variance

How big is the variance tax for each asset?

This is the variance tax. The higher your volatility, the more of your arithmetic return gets consumed before it reaches your actual wealth. T-bills pay essentially no variance tax — their 0.5% σ means σ²/2 rounds to zero. Bonds and real estate sit in the low-tax band. Gold and broad commodities pay a meaningful but bounded tax. Equities pay more. Bitcoin pays the highest of any major asset.

On an annual basis Bitcoin’s arithmetic mean has run ~80–100% with σ ≈ 70–90% over 2015–2025, so σ²/2 alone consumes roughly 25–40 percentage points of the headline return before it ever reaches your geometric wealth.

And σ²/2 is the Gaussian approximation. Equities, real estate, gold, and bonds are roughly log-normal with modest excess kurtosis. Commodities have visible fat tails around supply shocks. Bitcoin is genuinely fat-tailed — kurtosis well above 3, with multiple 5σ-equivalent moves per year. For fat-tailed series, σ²/2 is a lower bound on the geometric drag; the true drag is worse than the formula suggests.

Annualized volatility comparison

Higher volatility = higher variance tax on your geometric returns.

T-bills0.5%Treasury bonds7%Real estate10%S&P 50015%Gold15%Commodities18%NASDAQ 10022%Bitcoin55%

Real estate’s advantage is visible here: roughly 8–10% total return at a measured annualized volatility around 10% (Case-Shiller / NCREIF), so the variance tax is small and almost all the arithmetic return converts to geometric growth. Important caveat: that 10% figure is structurally understated because appraisal-based and infrequent marks smooth the series. Mark-to-market like equities and real-estate volatility is closer to 15–20%. The variance-tax win is real, just smaller than the headline.

Gold matches the S&P 500 on volatility (~15%) but with a different return driver — when you net out variance tax, gold and the broad market end up in similar Sharpe territory despite looking very different on the monthly chart. Broad commodities are noisier still (~18% σ) and the geometric return suffers accordingly.

Treasuries sit at ~7% σ — low for a risk asset, but not zero. The 2022 bond drawdown happened precisely because that 7% number is annualized over a long history that included 40 years of falling yields; in the rate-spike regime the realized σ jumped, and the duration drag landed on principal.

The S&P 500 sits in a comfortable middle. The NASDAQ 100 pays a higher tax than the S&P for its higher returns. Bitcoin pays the highest tax of all — but its gross returns have been so extreme that even after the variance drag, the net geometric return has been extraordinary. The catch: that only works if Bitcoin’s future arithmetic returns remain extreme. If they moderate toward equity-like levels while volatility stays elevated, the variance tax alone would make it a mediocre or negative geometric investment.

IV

Drawdowns — can you survive the valley?

Part I’s Kelly Criterion depends on ruin tolerance: how much can you lose before you’re knocked out of the game? Here is where the eight asset classes diverge most dramatically.

Maximum historical drawdown

The worst peak-to-trough decline each asset has experienced. This is the valley you must survive.

T-bills (nominal)0%Gold-22%Treasury bonds-25%Real estate-33%Commodities-50%S&P 500-50%Bitcoin-80%NASDAQ 100-83%

The NASDAQ 100 lost 83% from the 2000 dot-com peak to the 2002 bottom — and took over 15 yearsto recover. Bitcoin has experienced drawdowns of 80%+ at least three times. An investor who put 100% of their capital into Bitcoin at the 2021 peak saw it drop to $16,000 in 2022 — a 76% decline. The S&P 500’s worst was a 50% crash during the 2008 financial crisis, recovering in roughly 5.5 years. Broad commodities suffered a multi-year ~50% decline during the 2014–2020 cycle as oil, metals, and agriculture all detrended together.

Real estate’s maximum drawdown of roughly 33% during the 2008 housing crisis understates the real damage, because real estate is typically leveraged. A 33% price decline on a home bought with 20% down wipes out 165%of your equity — you’re underwater, owing more than the asset is worth.

The defensive trio — Treasuries, T-bills, and gold — looks safer, but each has its own valley. Treasuries dropped roughly 25% from 2020 highs to 2023 lows as rates spiked from near-zero to 5%+ — the worst bond drawdown in 40 years. Gold drew down ~22% in the 2020–22 consolidation after the COVID rally; on a longer window (2011–2015) gold fell 45% from its post-GFC peak. T-bills hold the unique position of zero nominaldrawdown, but inflation-adjusted purchasing power dropped roughly 30% over 2021–23 — a real loss that doesn’t show up on any nominal chart.

Why max drawdown is a survival filter, not a risk metric

The maximum drawdown is not a risk metric. It is a survival filter. If you cannot hold through it — financially and psychologically — you have no business being in that asset class.

Applying Kelly’s logic: for an asset with 80% max drawdown, even a very high edge should lead to fractional Kelly sizing. No more than 5–10% of total portfolio in a single asset that can lose four-fifths of its value. This is not a philosophical preference — it is a mathematical constraint on geometric growth.

V

Correlation — the diversification question

From Part I: diversification works only when positions are uncorrelated. Two perfectly correlated assets provide zero diversification benefit — you’re just doubling your bet. So how do our eight asset classes correlate with each other?

Approximate correlation matrix (2018–2025)

Higher values = move together. Lower = independent. Negative = move opposite.

S&PNDXBTCRETLTTBLGoldCommS&P1.000.900.400.30-0.150.000.100.30NDX0.901.000.450.25-0.200.000.100.25BTC0.400.451.000.05-0.100.000.200.25RE0.300.250.051.000.200.000.150.20TLT-0.15-0.20-0.100.201.000.400.30-0.05TBL0.000.000.000.000.401.000.000.05Gold0.100.100.200.150.300.001.000.40Comm0.300.250.250.20-0.050.050.401.00
Bitcoin's correlation with equities has risen significantly since the 2024 ETF approvals, from near-zero to 0.5–0.87 depending on timeframe. Treasuries' negative correlation with equities works in normal regimes — it broke during the 2022 stagflation scare when bonds and stocks fell together.

Why S&P + NASDAQ is one bet, not two

The first finding from the matrix: NASDAQ 100 and S&P 500 are highly correlated (~0.90). Holding both provides almost no diversification benefit — they crash together and rally together. You’re paying for two tickets to the same ride.

Real estate, gold, and Treasuries — the three real diversifiers

Real estate has low correlation to equities (~0.25–0.35), making it a strong diversifier in normal markets. Its returns are driven by local housing supply, rental demand, and mortgage rates — largely independent of daily stock-market moves.

Gold sits closer to zero against equities (~0.10) and zero against Bitcoin (~0.20), so it adds genuine independent variance to a stock-heavy portfolio. Where it shines is regime change: gold has been the asset that does well precisely when stocks and bonds fail together, e.g., the 2022 inflation shock and the 2024–25 geopolitical surge.

Treasuries are the textbook diversifier — negatively correlated with equities (~−0.15 to −0.20) in growth scares: when stocks fall on slowing growth, bonds rally on rate cuts. But the textbook breaks in inflation shocks: 2022 saw both equities and Treasuries fall together as the Fed hiked aggressively. The negative correlation is regime-dependent, not structural.

T-bills are uncorrelated with everything — they are, by definition, the risk-free asset. Their diversification benefit is not in their variance contribution (which rounds to zero) but in their optionality: dry powder you can deploy when other assets crack.

Bitcoin’s diversification value is eroding

Bitcoin’s correlation story is more nuanced. Before 2024, it was genuinely uncorrelated with equities — correlation near zero. This made it an attractive portfolio diversifier despite its extreme volatility. But as institutional investors poured in through Bitcoin ETFs, the correlation jumped to 0.5–0.87. Bitcoin increasingly behaves like a high-beta tech stock rather than an independent asset. Its diversification value has eroded precisely as more people have adopted it for that purpose.

Commodities and gold — related but not identical

Gold and broad commodities show a moderate correlation (~0.40) because both are real assets, but the drivers differ: gold tracks monetary debasement and risk-off flows; commodities track industrial demand cycles and weather / supply shocks. Holding both gives you exposure to two distinct regimes — but understand the overlap, especially when commodity supercycles drive both up together (2003–2008, 2021–2022).

VI

Risk-adjusted returns — the Sharpe ratio reality check

The Sharpe ratio measures return per unit of risk: how much excess return (above the risk-free rate) did you earn for each unit of volatility you endured? A higher ratio means more efficient return generation. T-bills are excluded from this chart by definition — they are the risk-free rate.

Return vs risk — the efficient frontier question

Each dot represents an asset class. Up = more return. Right = more risk. The best position is upper-left.

Treasury bondsReal estateS&P 500GoldCommoditiesNASDAQ 100Bitcoin
0%12%24%36%48%60%0%13%26%39%52%65%Annualized volatility →↑ Annualized returnTLTRES&PGoldCommNDXBTC

Real estate occupies the most efficientposition on this chart: solid returns with the least volatility among risk assets. Its Sharpe ratio of approximately 0.7–0.8 is the highest of the eight, meaning each unit of risk buys more return than any other asset class here. Gold trails close behind at roughly 0.5–0.6 — surprisingly competitive once you net out its variance. The S&P 500 sits at roughly 0.65. Bitcoin, despite its explosive returns, lands at around 0.5–0.6 because its volatility is so extreme.

The NASDAQ 100’s Sharpe ratio is similar to the S&P 500’s — the extra return comes with proportionally extra risk. You’re not getting a free lunch from tech concentration; you’re getting a more levered version of the same ride. Broad commodities post the weakest Sharpe of the risk assets (~0.15–0.25): you take equity-like volatility for T-bill-like long-run return. The case for commodities isn’t standalone risk-adjusted return — it’s the diversification they offer in inflationary regimes.

Treasuries’ Sharpe over 2015–25 came in near zero — coupons earned over the decade were almost exactly offset by the 2022 principal crash. Run the same calculation over 1985–2020 and Treasuries’ Sharpe was >1.0. The lesson: bond Sharpe is regime-dependent. The 40-year disinflation tailwind is gone.

The Sharpe ratio answers the Kelly question indirectly: given the volatility you must endure, is the edge actually worth concentrating into?

For most investors without genuine stock-picking edge, the data argues for broad equity exposure (S&P 500), a real estate allocation for diversification and efficiency, a gold allocation for regime-change insurance, modest Treasury or T-bill exposure as dry powder, a small Bitcoin allocation for asymmetric upside (sized by Kelly logic — small, because the variance is enormous), and caution about NASDAQ 100 concentration unless you have a specific thesis about technology’s future that the market hasn’t priced in. Commodities are an optional inflation hedge with low standalone Sharpe — useful to hold, in modest size, if you don’t already have inflation protection through real estate or gold.

Are S&P 500 and NASDAQ 100 redundant in the same portfolio?

For diversification purposes, yes. They have a correlation of roughly 0.90 — they crash together and rally together — so holding both is closer to one concentrated bet on US large-cap equities than two independent positions. NASDAQ’s extra return comes with proportionally extra risk, not extra diversification.

How much Bitcoin should be in a portfolio?

For an asset with 80%+ historical drawdowns, Kelly logic argues for fractional sizing — typically no more than 5–10% of total portfolio in any single asset that can lose four-fifths of its value. This is a mathematical constraint on geometric growth, not a philosophical preference.

Which asset class has the highest Sharpe ratio?

Real estate, at roughly 0.7–0.8 over 2015–2025 — the highest of the eight. The S&P 500 sits at about 0.65, NASDAQ 100 is similar, gold lands near 0.5–0.6, Bitcoin near 0.5–0.6, and commodities the lowest at 0.15–0.25. Treasuries’ Sharpe came in near zero over this window because the 2022 bond crash erased a decade of coupons. Note that real-estate volatility is structurally understated by appraisal-based indices, so its true Sharpe is somewhat lower than the headline.

Are Treasury bonds still a portfolio diversifier in 2025?

Conditionally. Treasuries provide negative correlation with equities in growth scares (the textbook case): when stocks fall on slowing growth, bonds rally on rate cuts. But in inflation shocks — 2022 being the canonical example — Treasuries and equities fall together as the central bank hikes aggressively. The diversification benefit is regime-dependent. For a portfolio that already holds gold and real estate as inflation hedges, a modest Treasury allocation still helps in the growth-scare regime — just don’t expect it to save you in the inflationary one.

Why hold gold if it pays no yield?

Gold compensates by being one of the only assets that has done well when stocks andbonds fall together. 2022 (inflation shock) and 2024–25 (geopolitical / central-bank surge) are recent examples. Its 2015–25 compounded return (~11%) ended up equity-competitive precisely because of those regime-change episodes. The cost is no carry — you’re paying an optionality premium, not collecting coupons.

How long did the NASDAQ take to recover from the dot-com crash?

On a price basis, the NASDAQ 100 took over 15 years to reclaim its 2000 peak after losing 83% by 2002. On a total-return basis (with dividends reinvested) recovery was closer to 13 years. Either way, it is the canonical example of why max drawdown is a survival filter.

Bringing it together

The frameworks from Part I now have concrete numbers behind them across eight asset classes. Variance: Bitcoin’s is 3–4× the S&P 500’s, and the variance tax consumes a significant share of its raw returns; T-bills pay essentially no tax. Geometric growth: real estate and gold convert most of their arithmetic return into geometric growth; Bitcoin does not. Drawdowns: NASDAQ and Bitcoin have both experienced 80%+ declines; commodities ~50%; even Treasuries surprised everyone with a 25% drawdown in 2022 — Kelly says size accordingly. Correlation: S&P and NASDAQ move almost identically; real estate, gold, and Treasuries are the three real diversifiers (each one regime-dependent in its own way); Bitcoin’s independence is eroding. Sharpe ratios: real estate leads, the broad market is solid, gold is more competitive than its “pet rock” reputation suggests, tech and crypto offer more return only at proportionally more risk, and commodities are weak on standalone risk-adjusted return but earn their place as an inflation hedge.

No asset class is universally “best.” The right portfolio depends on the quadrant from Part I: your genuine edge, your ruin tolerance, and the correlation structure of what you already hold. The math doesn’t tell you what to buy. It tells you how much, and why.

The second most dangerous sentence in investing: "This asset class always goes up."

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