SOL vs SPY: Returns, Risk & Volatility (2023)

Written by Gale Finance Team

Reviewed by Sid Kalla CFA Charterholder

Analysis period: 2023-01-01 to 2023-12-31

SOL Total Return

↑ +696.3%

SPY Total Return

↑ +26.7%

Relative Performance of SOL vs SPY (Normalized to 100)

SOL SPY

Normalized to 100 at start date for comparison

Key Takeaways

Total Return: SOL delivered a +696.3% total return, while SPY returned +26.7% over the same period. SOL outperformed on total returns.
Risk-Adjusted Return (Sharpe Ratio): SOL had a higher Sharpe (2.59 vs 1.55), indicating better risk-adjusted performance.
Volatility (Annualized): SOL was more volatile, with 97.2% annualized volatility, versus 13.1% for SPY.
Maximum Drawdown: SPY's maximum drawdown was -10.0%, while SOL experienced a deeper drawdown of -44.7%.
Tail Risk (VaR & Expected Shortfall): At the 5% level (daily log returns), SOL's VaR was -6.35% and its Expected Shortfall (CVaR) was -8.67%; SPY's were -1.40% and -1.58%. VaR is the cutoff; Expected Shortfall is the average move on the worst days.
Skew & Kurtosis: Skew: SOL 1.06 vs SPY -0.05. Excess kurtosis: SOL 3.57 vs SPY -0.18. Negative skew leans downside; higher excess kurtosis means fatter tails.
Tail Days & Extremes: 2σ tail days (down/up): SOL 4/13, SPY 6/6. Worst day: SOL -11.82% (2023-02-09) vs SPY -2.01% (2023-02-21). Best day: SOL +32.59% (2023-01-14) vs SPY +2.29% (2023-01-06).
Risk ratios: Sortino - SOL: 4.93 vs. SPY: 2.37 , Calmar - SOL: N/A vs. SPY: N/A , Sterling - SOL: N/A vs. SPY: N/A , Treynor - SOL: N/A vs. SPY: N/A , Ulcer Index - SOL: N/A vs. SPY: N/A

Solana vs S&P 500 Correlation

0.17 Average Correlation

Solana and S&P 500 were weakly correlated in 2023. With a correlation of 0.17, these assets showed meaningful independence, offering diversification benefits when held together.

For portfolio construction, this weak correlation suggests that combining SOL and SPY could reduce overall portfolio variance. However, correlations can increase during market stress.

Metric	Value
Current (30-day)	0.08
Average (full period)	0.17
Minimum	-0.08
Maximum	0.45

Correlation measures how closely two assets move together. Values near +1 indicate strong co-movement, near 0 indicates independence, and negative values indicate inverse movement.

Investment Comparison

If you invested $10,000 in each asset on January 1, 2023:

SOL $79,625.444 +696.3%

SPY $12,672.304 +26.7%

Difference: $66,953.14 (SOL ahead)

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Solana and S&P 500: Risk Analysis

Solana experienced its maximum drawdown of -44.7% from 2023-02-20 to 2023-06-14. It has not yet recovered to its previous peak.

S&P 500 experienced its maximum drawdown of -10% from 2023-07-31 to 2023-10-27. It has not yet recovered to its previous peak.

Smaller drawdowns and faster recoveries indicate lower downside risk and greater resilience during market stress.

Sharpe Ratio of SOL and SPY

SOL Sharpe Ratio

↑ 2.59

SPY Sharpe Ratio

↑ 1.55

Sharpe ratio measures return per unit of risk (volatility). A higher Sharpe indicates better risk-adjusted performance. SOL had a higher Sharpe (2.59 vs 1.55), indicating better risk-adjusted performance.

A Sharpe above 1.0 is generally considered good, above 2.0 is excellent. Negative Sharpe means the asset underperformed the risk-free rate. Calculated on each asset's full 365-day lookback of available prices and annualized using the asset calendar (365 for crypto, 252 trading days for equities/ETFs/metals).

Sortino Ratio of SOL and SPY

SOL Sortino Ratio

↑ 4.93

SPY Sortino Ratio

↑ 2.37

Sortino ratio measures return per unit of downside risk. Unlike Sharpe, it only counts downside deviation (returns below the target return). SOL had better downside-adjusted returns.

A higher Sortino is better. It's useful when upside volatility is common (crypto is the obvious example). Downside deviation: SOL 51.0% vs SPY 8.6%. Calculated on each asset's full 365-day lookback of available prices, using the daily risk-free rate as the target return, and annualized using the asset calendar (365 for crypto, 252 trading days for equities/ETFs/metals).

Tail Risk & Distribution Shape (2023): Solana vs. S&P 500

This section looks at the shape of daily returns, not just the average. Tail stats are computed per asset on its own daily series (crypto includes weekends). We use daily log returns $\ln\left(\frac{P_t}{P_{t-1}}\right)$ so multi-day moves add cleanly.

Definitions: Value at Risk (VaR), Expected Shortfall, skew, kurtosis, and fat tails.

Metric (2023)	SOL	SPY
5% VaR (daily log return)	-6.35%	-1.40%
5% Expected Shortfall (CVaR)	-8.67% (worst 19 days)	-1.58% (worst 13 days)
Skew	1.06	-0.05
Excess kurtosis	3.57	-0.18
2σ tail days (down / up)	4 / 13	6 / 6
Worst day	-11.82% (2023-02-09)	-2.01% (2023-02-21)
Best day	+32.59% (2023-01-14)	+2.29% (2023-01-06)

Downside co-moves (2σ) — 2023

Computed on shared dates only (n=249). A “2σ downside move” means a shared-close log return more than 2 standard deviations below that asset’s own mean on this shared-date series. Dates below show simple returns (%) for readability.

When SPY has a big down day, SOL also does

0.0%

0 / 6 days

When SOL has a big down day, SPY also does

0.0%

0 / 3 days

Show downside tail dates

Dates below are shared-date observations. The “Date” is the period end (close). Tail thresholds are computed on log returns, but the table shows simple returns (%) for readability. Returns are computed from the previous shared close to this one (for example, Friday → Monday includes weekend moves).

Days when both SOL and SPY had a big down day (2σ)

None in this window.

Days when SOL had a big down day

Date (interval)	SOL	SPY
2023-02-09	-11.82%	-0.87%
2023-06-09 → 2023-06-12	-12.56%	+0.91%
2023-11-16	-11.69%	+0.12%

Days when SPY had a big down day

Date (interval)	SOL	SPY
2023-01-18	-8.89%	-1.58%
2023-02-17 → 2023-02-21	+7.69%	-2.01%
2023-03-09	-6.04%	-1.84%
2023-03-22	-5.03%	-1.70%
2023-04-25	+2.51%	-1.59%
2023-09-21	-4.07%	-1.65%

Read this as “how ugly the ugly days get”, not as a precise forecast. One-year samples are small, so tail estimates are inherently noisy.

Full Comparison of Solana vs. S&P 500 (2023)

Metric	SOL	SPY
Total Return	+696.3%	+26.7%
Annualized Volatility	97.2%	13.1%
Sharpe Ratio	2.59	1.55
Sortino Ratio	4.93	2.37
Calmar Ratio	N/A	N/A
Sterling Ratio	N/A	N/A
Treynor Ratio	N/A	N/A
Ulcer Index	N/A	N/A
Max Drawdown	-44.7%	-10.0%
Avg Correlation to S&P 500	N/A	N/A
5% VaR (daily log return)	-6.35%	-1.40%
5% Expected Shortfall (CVaR)	-8.67%	-1.58%
Skew	1.06	-0.05
Excess kurtosis	3.57	-0.18
2σ tail days (down / up)	4 / 13	6 / 6

Audit this calculation

Formulas, inputs, and conventions used to compute the metrics on this page.

Inputs & conventions

Shared window for pair metrics: 2023-01-01 → 2023-12-31 (last shared close).
Rolling correlation sample (shared closes): N/A
Annualization (days/year): SOL: 365 days/year; SPY: 252 days/year.
Risk-free rate: Uses the 3-month U.S. Treasury yield (FRED: DGS3MO), averaged over each asset’s window:

SOL: 4.50%.

SPY: 4.50%.
Volatility drag (rule of thumb): Estimated from annualized volatility (simple returns). For the log-return framing, see Log returns.

SOL: ≈ -47.2%/yr

SPY: ≈ -0.9%/yr
Data alignment: No forward fill. Correlation and tail co-moves are computed on shared closes only.
For cross-calendar pairs (e.g., crypto vs stocks), weekend/holiday moves roll into the next shared close.
Return conventions: Volatility/Sharpe/Sortino use simple daily returns. Tail-risk uses daily log returns for distribution stats (but tables show simple returns). Log returns.

Formulas

Daily simple return

r_t = \frac{P_t}{P_{t-1}} - 1

Volatility

\sigma_{ann} = \sigma(r_t)\sqrt{A}

Volatility drag (approx.)

\text{drag} \approx \tfrac{1}{2}\sigma_{ann}^2

Sharpe Ratio

S = \frac{A\,\bar{r} - r_f}{\sigma(r_t)\sqrt{A}}

Sortino Ratio

So = \frac{A\,\bar{r} - r_f}{\sqrt{\mathbb{E}[\min(0,\,r_t - r_f/A)^2]}\,\sqrt{A}}

Maximum Drawdown

MDD = \min_t\left(\frac{P_t}{\max_{s \le t} P_s} - 1\right)

Average Correlation

\rho = \frac{\operatorname{cov}(r^A,\,r^B)}{\sigma_A\,\sigma_B}

Log returns

\ell_t = \ln\left(\frac{P_t}{P_{t-1}}\right)

Notation

$P_t$: Price on day t.
$r_t$: Simple daily return.
$\ell_t$: Log daily return.
$\bar{r}$: Average daily return.
$\sigma(r_t)$: Standard deviation of daily returns.
$A$: Annualization factor (days/year).
$r_f$: Annual risk-free rate.

Solana vs S&P 500: Frequently Asked Questions

Which had higher volatility: SOL or SPY?

SOL showed higher volatility at 97.2% annualized, compared to 13.1% for SPY During 2023. Higher volatility meant larger price swings in both directions.

Did SOL provide diversification when held with SPY?

SOL and SPY were weakly correlated in 2023, with an average correlation of 0.17. This weak correlation suggested meaningful diversification benefits when held together.

How bad are the worst 5% days for SOL vs SPY?

During 2023, SOL's 5% VaR was -6.35% and its 5% Expected Shortfall was -8.67% (worst 19 days). SPY's were -1.40% and -1.58% (worst 13 days).

Do SOL and SPY crash together on bad days?

On shared dates (n=249), when SPY has a 2σ down day, SOL also does 0.0% (0/6 days). In the other direction, when SOL has one, SPY also does 0.0% (0/3 days).

Which had better risk-adjusted returns: SOL or SPY?

SOL showed better risk-adjusted performance with a Sharpe ratio of 2.59 versus SPY's 1.55 During 2023.

Could SOL and SPY have been combined in a portfolio?

Yes, though allocation sizing mattered. Their weak correlation could have meaningfully reduced overall portfolio variance. SOL's higher volatility (97.2%) meant even small allocations can materially impact overall portfolio risk.

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