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Silver vs Nvidia (XAG vs NVDA): Returns, Risk & Volatility (2025)

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Last updated:

Analysis period: 2025-01-01 to 2025-12-31

Gale Finance Team
Written by Gale Finance Team
Sid Kalla
Reviewed by Sid Kalla CFA Charterholder
XAG Total Return
โ†‘ +142.3%
NVDA Total Return
โ†‘ +34.9%

Relative Performance of XAG vs NVDA (Normalized to 100)

XAG NVDA

Normalized to 100 at start date for comparison

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Key Takeaways

  • Total Return: XAG delivered a +142.3% total return, while NVDA returned +34.9% over the same period. XAG outperformed on total returns.
  • Risk-Adjusted Return (Sharpe Ratio): XAG had a higher Sharpe (2.78 vs 0.77), indicating better risk-adjusted performance.
  • Volatility (Annualized): NVDA was more volatile, with 49.6% annualized volatility, versus 31.6% for XAG.
  • Maximum Drawdown: XAG's maximum drawdown was -13.6%, while NVDA experienced a deeper drawdown of -36.9%.
  • Tail Risk (VaR & Expected Shortfall): At the 5% level (daily log returns), XAG's VaR was -2.32% and its Expected Shortfall (CVaR) was -4.51%; NVDA's were -4.62% and -7.58%. VaR is the cutoff; Expected Shortfall is the average move on the worst days.
  • Skew & Kurtosis: Skew: XAG -0.41 vs NVDA -0.53. Excess kurtosis: XAG 3.82 vs NVDA 7.83. Negative skew leans downside; higher excess kurtosis means fatter tails.
  • Tail Days & Extremes: 2ฯƒ tail days (down/up): XAG 6/5, NVDA 7/2. Worst day: XAG -8.02% (2025-12-29) vs NVDA -16.97% (2025-01-27). Best day: XAG +9.18% (2025-12-26) vs NVDA +18.72% (2025-04-09).
  • Risk ratios: Sortino - XAG: 4.38 vs. NVDA: 1.10 , Calmar - XAG: 10.54 vs. NVDA: 0.95 , Sterling - XAG: 10.32 vs. NVDA: 1.14 , Treynor - XAG: 2.28 vs. NVDA: 0.20 , Ulcer Index - XAG: 4.21% vs. NVDA: 13.79%
Assets:Silver (XAG)ยทNvidia (NVDA)
Related:Bitcoin vs SilverยทEthereum vs SilverยทAmplify Junior Silver Miners ETF vs Silver
Live:XAG vs NVDA (rolling)

Investment Comparison

If you invested $10,000 in each asset on January 1, 2025:

XAG $24,227.536 +142.3%
NVDA $13,487.808 +34.9%

Difference: $10,739.728 (XAG ahead)

Silver vs Nvidia Correlation

Average Correlation
weakly correlated
0.13
Current (30-day) 0.18
30-day rolling range -0.34 to +0.60

Silver and Nvidia were weakly correlated in 2025. With a correlation of 0.13, these assets showed meaningful independence, offering diversification benefits when held together.

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

Metric Value
Current (30-day) 0.18
Average (full period) 0.13
Minimum (30-day rolling) -0.34
Maximum (30-day rolling) 0.60

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. Current, minimum, and maximum figures are 30-day rolling correlations on shared daily returns.

Drawdown

Maximum Drawdown
XAG
-13.6%
NVDA
-36.9%

Silver experienced its maximum drawdown of -13.6% from 2025-03-27 to 2025-04-04. It has not yet recovered to its previous peak.

Nvidia experienced its maximum drawdown of -36.9% from 2025-01-06 to 2025-04-04. It has not yet recovered to its previous peak.

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

Risk-adjusted ratios

Sharpe Ratio of XAG and NVDA

Sharpe Ratio: XAG vs. NVDA

Return per total volatility

Sharpe gives us excess return per unit of risk. Upside and downside volatility both count as risk.

Higher is better
Excess return Annualized volatility 0 75% vol 31.6% ยท excess +87.7% vol 49.6% ยท excess +38.4%
excess return / total volatility
Formula Sharpe=E[R]โˆ’RfฯƒR\displaystyle \mathrm{Sharpe} = \frac{\mathbb{E}[R] - R_f}{\sigma_R}

Sharpe ratio measures return per unit of risk (volatility). A higher Sharpe indicates better risk-adjusted performance. XAG had a higher Sharpe (2.78 vs 0.77), 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 XAG and NVDA

Sortino Ratio: XAG vs. NVDA

Return per downside volatility

Sortino keeps the return-over-risk idea, but only returns below the target rate count as volatility.

Higher is better
Frequency (days) Daily return (%) target -18.4% +20.2% 71 0
excess return / downside volatility
Formula Sortino=E[R]โˆ’Rfฯƒdown\displaystyle \mathrm{Sortino} = \frac{\mathbb{E}[R] - R_f}{\sigma_{\mathrm{down}}}

Sortino ratio measures return per unit of downside risk. Unlike Sharpe, it only counts downside deviation (returns below the target return). XAG 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: XAG 20.0% vs NVDA 34.9%. 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).

Calmar Ratio of XAG and NVDA

Calmar Ratio: XAG vs. NVDA

CAGR per worst drawdown

Calmar compares CAGR against the single deepest peak-to-trough loss over the period.

Higher is better
0% XAG +143.6% -13.6% NVDA +35.1% -36.9%
CAGR / max drawdown
Formula Calmar=CAGRโˆฃMaxDDโˆฃ\displaystyle \mathrm{Calmar} = \frac{\mathrm{CAGR}}{|\mathrm{MaxDD}|}

Calmar ratio compares CAGR to maximum drawdown. Higher Calmar means more return per unit of worst drawdown. XAG posted the higher Calmar ratio.

Calmar is computed on each asset's full 365-day lookback and uses the max drawdown over that same window.

Sterling Ratio of XAG and NVDA

Sterling Ratio: XAG vs. NVDA

Return per average drawdown

Sterling smooths the drawdown penalty by using average drawdown events instead of only the worst one.

Higher is better
0% -10% -19% -29% -39% 10% drawdown threshold
excess annual return / average deep drawdown
Formula Sterling=CAGRโˆ’RfDโ€พ>10%\displaystyle \mathrm{Sterling} = \frac{\mathrm{CAGR} - R_f}{\overline{D}_{>10\%}}

Sterling ratio measures excess return per unit of average drawdown (typically drawdowns worse than 10%). XAG posted the higher Sterling ratio.

Sterling uses average drawdown events deeper than 10% and subtracts the risk-free rate to report excess return.

Treynor Ratio of XAG and NVDA

Treynor Ratio: XAG vs. NVDA

Excess return per market beta

Treynor divides excess annualized return by beta โ€” the sensitivity of the asset to broad-market moves. The slope shown is each assetโ€™s beta vs SPY.

Higher is better
Asset return Market return 0 0 ฮฒ 0.40 ฮฒ 1.88
excess return / market beta
Formula Treynor=E[R]โˆ’Rfฮฒ\displaystyle \mathrm{Treynor} = \frac{\mathbb{E}[R] - R_f}{\beta}

Treynor ratio measures excess return per unit of market risk (beta) instead of total volatility. XAG posted the higher Treynor ratio.

Treynor uses beta vs the S&P 500 (SPY) on shared dates and the average 3-month Treasury rate as the risk-free rate.

Ulcer Index of XAG and NVDA

Ulcer Index: XAG vs. NVDA

Drawdown pain

Ulcer Index is a risk index, not a return-over-risk ratio. Lower means smaller and shorter drawdowns.

Lower is better
0% -10% -19% -29% -39%
root-mean-square drawdown
Formula UI=E[Dt2]\displaystyle \mathrm{UI} = \sqrt{\mathbb{E}[D_t^2]}

Ulcer Index captures drawdown depth and duration. Lower Ulcer Index means less drawdown pain. XAG had the lower Ulcer Index (less drawdown pain).

Ulcer Index is computed from each asset's drawdown series over the full lookback window.

Tail Risk & Distribution Shape (2025): Silver vs. Nvidia

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 lnโก(PtPtโˆ’1)\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.

Tail Risk & Distribution Shape: XAG vs. NVDA (2025)

Actual daily return tails

The bars are real daily log-return observations from the article window. Darker bars are observations at or beyond each assetโ€™s 5% VaR cutoff.

Observed returns
XAG VaR 5% ES 5% NVDA VaR 5% ES 5% -21.6% 0% +21.6% Daily log return
VaR marks the 5th percentile loss cutoff; Expected Shortfall averages the observations beyond that cutoff.
Formula VaR5%=Q0.05(rt),ES5%=E[rtโˆฃrtโ‰คVaR5%]\displaystyle \mathrm{VaR}_{5\%}=Q_{0.05}(r_t),\quad \mathrm{ES}_{5\%}=\mathbb{E}[r_t\mid r_t\le \mathrm{VaR}_{5\%}]
Metric (2025) XAG NVDA
5% VaR (daily log return) -2.32% -4.62%
5% Expected Shortfall (CVaR) -4.51% (worst 13 days) -7.58% (worst 13 days)
Skew -0.41 -0.53
Excess kurtosis 3.82 7.83
2ฯƒ tail days (down / up) 6 / 5 7 / 2
Worst day -8.02% (2025-12-29) -16.97% (2025-01-27)
Best day +9.18% (2025-12-26) +18.72% (2025-04-09)

Downside co-moves (2ฯƒ) โ€” 2025

Computed on shared dates only (n=249). A โ€œ2ฯƒ downside moveโ€ means a shared-close log return more than 2 standard deviations below that assetโ€™s own mean on this shared-date series. Dates below show simple returns (%) for readability.

Downside co-move map: XAG vs. NVDA (2ฯƒ)

Shared-close daily returns

Dots mark actual downside days: asset-colored dots are one-sided downside moves, and red dots are joint downside days. Grey dots add sampled shared-return context when available. The shaded lower-left zone shows where both XAG and NVDA crossed their own 2ฯƒ downside threshold.

2ฯƒ
-2ฯƒ NVDA -2ฯƒ XAG Joint downside zone -21.2% 0% +21.2% +10.0% 0% -10.0% NVDA daily log return XAG daily log return
Shared daily return 249
XAG Downside threshold -3.69%
NVDA Downside threshold -6.15%
Show downside tail dates

Dates below are shared-date observations. The โ€œDateโ€ 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 โ†’ Monday includes weekend moves).

Days when both XAG and NVDA had a big down day (2ฯƒ)

Date (interval) XAG NVDA
2025-04-03 -5.99% -7.81%
2025-04-04 -6.64% -7.36%

Days when XAG had a big down day

Date (interval) XAG NVDA
2025-04-03 -5.99% -7.81%
2025-04-04 -6.64% -7.36%
2025-10-17 -4.40% +0.78%
2025-10-21 -7.10% -0.81%
2025-12-26 โ†’ 2025-12-29 -8.02% -1.21%
2025-12-31 -6.05% -0.55%

Days when NVDA had a big down day

Date (interval) XAG NVDA
2025-01-07 +0.34% -6.22%
2025-01-24 โ†’ 2025-01-27 -1.40% -16.97%
2025-02-27 -1.86% -8.48%
2025-02-28 โ†’ 2025-03-03 +1.87% -8.69%
2025-04-03 -5.99% -7.81%
2025-04-04 -6.64% -7.36%
2025-04-16 +1.38% -6.87%

Read this as โ€œhow ugly the ugly days getโ€, not as a precise forecast. One-year samples are small, so tail estimates are inherently noisy.

Full Comparison of Silver vs. Nvidia (2025)

Metric XAG NVDA
Total Return +142.3% +34.9%
Annualized Volatility 31.6% 49.6%
Sharpe Ratio 2.78 0.77
Sortino Ratio 4.38 1.10
Calmar Ratio 10.54 0.95
Sterling Ratio 10.32 1.14
Treynor Ratio 2.28 0.20
Ulcer Index 4.21% 13.79%
Max Drawdown -13.6% -36.9%
Avg Correlation to S&P 500 N/A N/A
5% VaR (daily log return) -2.32% -4.62%
5% Expected Shortfall (CVaR) -4.51% -7.58%
Skew -0.41 -0.53
Excess kurtosis 3.82 7.83
2ฯƒ tail days (down / up) 6 / 5 7 / 2
Audit this calculation

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

Inputs & conventions

Shared window for pair metrics
2025-01-02 โ†’ 2025-12-31 (last shared close).
Rolling correlation sample (shared closes)
220 rolling 30-day values (from 249 shared daily returns).
Annualization (days/year)
XAG: 252 days/year; NVDA: 252 days/year.
Risk-free rate
Uses the 3-month U.S. Treasury yield (FRED: DGS3MO), averaged over each assetโ€™s window:
  • XAG: 4.22% over 2025-01-02 โ†’ 2025-12-31.
  • NVDA: 4.22% over 2025-01-02 โ†’ 2025-12-31.
Volatility drag (rule of thumb)
Estimated from annualized volatility (simple returns). For the log-return framing, see Log returns.
  • XAG: โ‰ˆ -5.0%/yr
  • NVDA: โ‰ˆ -12.3%/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
rt=PtPtโˆ’1โˆ’1r_t = \frac{P_t}{P_{t-1}} - 1
Volatility
ฯƒann=ฯƒ(rt)A\sigma_{ann} = \sigma(r_t)\sqrt{A}
Volatility drag (approx.)
dragโ‰ˆ12ฯƒann2\text{drag} \approx \tfrac{1}{2}\sigma_{ann}^2
Sharpe Ratio
S=Aโ€‰rห‰โˆ’rfฯƒ(rt)AS = \frac{A\,\bar{r} - r_f}{\sigma(r_t)\sqrt{A}}
Sortino Ratio
So=Aโ€‰rห‰โˆ’rfE[minโก(0,โ€‰rtโˆ’rf/A)2]โ€‰ASo = \frac{A\,\bar{r} - r_f}{\sqrt{\mathbb{E}[\min(0,\,r_t - r_f/A)^2]}\,\sqrt{A}}
Maximum Drawdown
MDD=minโกt(Ptmaxโกsโ‰คtPsโˆ’1)MDD = \min_t\left(\frac{P_t}{\max_{s \le t} P_s} - 1\right)
Average Correlation
ฯ=covโก(rA,โ€‰rB)ฯƒAโ€‰ฯƒB\rho = \frac{\operatorname{cov}(r^A,\,r^B)}{\sigma_A\,\sigma_B}
Log returns
โ„“t=lnโก(PtPtโˆ’1)\ell_t = \ln\left(\frac{P_t}{P_{t-1}}\right)
Notation
PtP_t
Price on day t.
rtr_t
Simple daily return.
โ„“t\ell_t
Log daily return.
rห‰\bar{r}
Average daily return.
ฯƒ(rt)\sigma(r_t)
Standard deviation of daily returns.
AA
Annualization factor (days/year).
rfr_f
Annual risk-free rate.

Silver vs Nvidia: Frequently Asked Questions

Which had higher volatility: XAG or NVDA?

NVDA showed higher volatility at 49.6% annualized, compared to 31.6% for XAG During 2025. Higher volatility meant larger price swings in both directions.

Did XAG provide diversification when held with NVDA?

XAG and NVDA were weakly correlated in 2025, with an average correlation of 0.13. This weak correlation suggested meaningful diversification benefits when held together.

How bad are the worst 5% days for XAG vs NVDA?

During 2025, XAG's 5% VaR was -2.32% and its 5% Expected Shortfall was -4.51% (worst 13 days). NVDA's were -4.62% and -7.58% (worst 13 days).

Do XAG and NVDA crash together on bad days?

On shared dates (n=249), when NVDA has a 2ฯƒ down day, XAG also does 28.6% (2/7 days). In the other direction, when XAG has one, NVDA also does 33.3% (2/6 days).

Which had better risk-adjusted returns: XAG or NVDA?

XAG showed better risk-adjusted performance with a Sharpe ratio of 2.78 versus NVDA's 0.77 During 2025.

Could XAG and NVDA have been combined in a portfolio?

Yes, though allocation sizing mattered. Their weak correlation could have meaningfully reduced overall portfolio variance. NVDA's higher volatility (49.6%) meant even small allocations can materially impact overall portfolio risk.

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