Impact-Site-Verification: 0eedbe8d-4e05-4893-8456-85377301e322

Compare · MSFT vs NVDA · 2026

Microsoft vs Nvidia

A year of returns, risk, and volatility, compared.

Microsoft (MSFT) and Nvidia (NVDA) are compared across trailing return, volatility, drawdown, and risk-adjusted metrics.

Gale Finance Team
Written by Gale Finance Team
Sid Kalla
Reviewed by Sid Kalla CFA Charterholder
Quick answer

Which is a better investment: MSFT or NVDA?

Over the past year, NVDA outperformed MSFT. NVDA returned +79.9% compared with MSFT’s +6.7%. NVDA had the better risk-adjusted return, with a Sharpe ratio of 1.83 versus MSFT’s 0.22. MSFT was less volatile than NVDA, but NVDA had a smaller max drawdown than MSFT.

Total Return
MSFT +6.7%
NVDA +79.9%
Sharpe Ratio
MSFT 0.22
NVDA 1.83
Annualized Volatility
MSFT 24.5%
NVDA 33.2%
Max Drawdown
MSFT -34.1%
NVDA -20.2%

Metric winners: Total Return: NVDA; Sharpe Ratio: NVDA; Annualized Volatility: MSFT (less volatile); Max Drawdown: NVDA (smaller drawdown).

MSFT Total Return
+6.7%
NVDA Total Return
+79.9%

Relative Performance of MSFT vs NVDA (Normalized to 100)

MSFT NVDA

Normalized to 100 at start date for comparison

Trade MSFT or NVDA

Access these assets on trusted platforms.

Affiliate disclosure

Key Takeaways

  • Total Return: MSFT delivered a +6.7% total return, while NVDA returned +79.9% over the same period. NVDA outperformed on total returns.
  • Risk-Adjusted Return (Sharpe Ratio): NVDA had a higher Sharpe (1.83 vs 0.22), indicating better risk-adjusted performance.
  • Volatility (Annualized): NVDA was more volatile, with 33.2% annualized volatility, versus 24.5% for MSFT.
  • Maximum Drawdown: NVDA's maximum drawdown was -20.2%, while MSFT experienced a deeper drawdown of -34.1%.
  • Tail Risk (VaR & Expected Shortfall): At the 5% level (daily log returns), MSFT's VaR was -2.43% and its Expected Shortfall (CVaR) was -3.62%; NVDA's were -3.38% and -4.14%. VaR is the cutoff; Expected Shortfall is the average move on the worst days.
  • Skew & Kurtosis: Skew: MSFT -0.92 vs NVDA 0.04. Excess kurtosis: MSFT 10.01 vs NVDA 0.51. Negative skew leans downside; higher excess kurtosis means fatter tails.
  • Tail Days & Extremes: 2σ tail days (down/up): MSFT 4/5, NVDA 7/6. Worst day: MSFT -9.99% (2026-01-29) vs NVDA -5.46% (2026-02-26). Best day: MSFT +7.63% (2025-05-01) vs NVDA +7.87% (2026-02-06).
  • Risk ratios: Sortino - MSFT: 0.30 vs. NVDA: 2.85 , Calmar - MSFT: 0.20 vs. NVDA: 3.98 , Sterling - MSFT: 0.07 vs. NVDA: 3.78 , Treynor - MSFT: 0.06 vs. NVDA: 0.34 , Ulcer Index - MSFT: 14.27% vs. NVDA: 8.00%

Investment Comparison

If you invested $10,000 in each asset on April 25, 2025:

MSFT $10,667.11 +6.7%
NVDA $17,987.22 +79.9%

Difference: $7,320.11 (NVDA ahead)

Microsoft vs Nvidia Performance Over Time

Metric MSFT NVDA
30 Days 11.5% 13.9%
90 Days -10.8% 6.4%
180 Days -20.4% 7.2%
1 Year 6.7% 79.9%

Shorter time frames can show different leaders as market conditions change. Consider your investment horizon when comparing performance.

Microsoft vs Nvidia Correlation

Average Correlation
moderately correlated
0.40
Current (30-day) 0.56
30-day rolling range +0.10 to +0.71

Microsoft and Nvidia are moderately correlated over the past year. With a correlation of 0.40, these assets show moderate co-movement, offering some diversification when held together.

For portfolio construction, this moderate correlation offers some diversification benefit, though the assets still tend to move together during major market moves.

Metric Value
Current (30-day) 0.56
Average (full period) 0.40
Minimum (30-day rolling) 0.10
Maximum (30-day rolling) 0.71

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
MSFT
-34.1%
NVDA
-20.2%

Microsoft experienced its maximum drawdown of -34.1% from 2025-10-28 to 2026-03-27. It has not yet recovered to its previous peak.

Nvidia experienced its maximum drawdown of -20.2% from 2025-10-29 to 2026-03-30. It has not yet recovered to its previous peak.

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

Microsoft vs Nvidia Volatility (MSFT vs NVDA)

MSFT Volatility
24.5%
±1.54% 1-day vol
NVDA Volatility
33.2%
±2.09% 1-day vol
1-day volatility (1σ)
MSFT
±1.54%
NVDA
±2.09%

Microsoft's 24.5% annualized volatility translates to about ±1.54% one-standard-deviation daily volatility.

Nvidia's 33.2% annualized volatility translates to about ±2.09% one-standard-deviation daily volatility.

NVDA had the wider volatility profile over this window. That means its day-to-day return distribution was broader; MSFT was calmer, but lower volatility does not by itself mean better returns.

Treat the ± daily figure as a one-standard-deviation estimate from historical returns, not a forecast or expected absolute daily move. For context, 15-18% annualized volatility is roughly ±1% one-standard-deviation daily volatility.

Risk-adjusted ratios

Sharpe Ratio of MSFT and NVDA

Sharpe Ratio: MSFT 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 50% vol 24.5% · excess +5.4% vol 33.2% · excess +60.8%
excess return / total volatility
Formula Sharpe=E[R]RfσR\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. NVDA had a higher Sharpe (1.83 vs 0.22), 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 MSFT and NVDA

Sortino Ratio: MSFT 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 -10.7% +8.6% 50 0
excess return / downside volatility
Formula Sortino=E[R]Rfσdown\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). NVDA 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: MSFT 17.8% vs NVDA 21.3%. 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 MSFT and NVDA

Calmar Ratio: MSFT vs. NVDA

CAGR per worst drawdown

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

Higher is better
0% MSFT +6.7% -34.1% NVDA +80.5% -20.2%
CAGR / max drawdown
Formula Calmar=CAGRMaxDD\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. NVDA 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 MSFT and NVDA

Sterling Ratio: MSFT 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% -9% -18% -27% -36% 10% drawdown threshold
excess annual return / average deep drawdown
Formula Sterling=CAGRRfD>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%). NVDA 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 MSFT and NVDA

Treynor Ratio: MSFT vs. NVDA

Excess return per market beta

Treynor divides excess annualized return by beta — the sensitivity of the asset to broad-market moves. The slope shown is each asset’s beta vs SPY.

Higher is better
Asset return Market return 0 0 β 0.95 β 1.77
excess return / market beta
Formula Treynor=E[R]Rfβ\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. NVDA 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 MSFT and NVDA

Ulcer Index: MSFT 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% -9% -18% -27% -36%
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. NVDA 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 (1-Year): Microsoft 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 ln(PtPt1)\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: MSFT vs. NVDA (1-Year)

Actual daily return tails

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

Observed returns
MSFT VaR 5% ES 5% NVDA VaR 5% ES 5% -12.2% 0% +12.2% 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[rtrtVaR5%]\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 (1-Year) MSFT NVDA
5% VaR (daily log return) -2.43% -3.38%
5% Expected Shortfall (CVaR) -3.62% (worst 13 days) -4.14% (worst 13 days)
Skew -0.92 0.04
Excess kurtosis 10.01 0.51
2σ tail days (down / up) 4 / 5 7 / 6
Worst day -9.99% (2026-01-29) -5.46% (2026-02-26)
Best day +7.63% (2025-05-01) +7.87% (2026-02-06)

Downside co-moves (2σ) — 1-Year

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.

Downside co-move map: MSFT vs. NVDA (2σ)

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 MSFT and NVDA crossed their own 2σ downside threshold.

-2σ NVDA -2σ MSFT Joint downside zone -6.4% 0% +6.4% +12.0% 0% -12.0% NVDA daily log return MSFT daily log return
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 MSFT and NVDA had a big down day (2σ)

None in this window.

Days when MSFT had a big down day

Date (interval) MSFT NVDA
2026-01-29 -9.99% +0.52%
2026-02-05 -4.95% -1.33%
2026-02-20 → 2026-02-23 -3.21% +0.91%
2026-04-23 -3.97% -1.41%

Days when NVDA had a big down day

Date (interval) MSFT NVDA
2025-10-10 -2.19% -4.89%
2025-10-14 -0.09% -4.40%
2025-11-04 -0.52% -3.96%
2026-01-16 → 2026-01-20 -1.16% -4.38%
2026-02-26 +0.28% -5.46%
2026-02-27 -2.24% -4.16%
2026-03-26 -1.37% -4.16%

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 Microsoft vs. Nvidia (1-Year)

Metric MSFT NVDA
Total Return +6.7% +79.9%
Annualized Volatility 24.5% 33.2%
Sharpe Ratio 0.22 1.83
Sortino Ratio 0.30 2.85
Calmar Ratio 0.20 3.98
Sterling Ratio 0.07 3.78
Treynor Ratio 0.06 0.34
Ulcer Index 14.27% 8.00%
Max Drawdown -34.1% -20.2%
Avg Correlation to S&P 500 0.47 0.62
5% VaR (daily log return) -2.43% -3.38%
5% Expected Shortfall (CVaR) -3.62% -4.14%
Skew -0.92 0.04
Excess kurtosis 10.01 0.51
2σ tail days (down / up) 4 / 5 7 / 6
Audit this calculation

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

Inputs & conventions

Shared window for pair metrics
2025-04-25 → 2026-04-23 (last shared close).
Rolling correlation sample (shared closes)
220 rolling 30-day values (from 249 shared daily returns).
Annualization (days/year)
MSFT: 252 days/year; NVDA: 252 days/year.
Risk-free rate
Uses the 3-month U.S. Treasury yield (FRED: DGS3MO), averaged over each asset’s window:
  • MSFT: 4.17% over 2025-04-25 → 2026-04-23.
  • NVDA: 4.17% over 2025-04-25 → 2026-04-23.
Volatility drag (rule of thumb)
Estimated from annualized volatility (simple returns). For the log-return framing, see Log returns.
  • MSFT: ≈ -3.0%/yr
  • NVDA: ≈ -5.5%/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=PtPt11r_t = \frac{P_t}{P_{t-1}} - 1
σann=σ(rt)A\sigma_{ann} = \sigma(r_t)\sqrt{A}
drag12σann2\text{drag} \approx \tfrac{1}{2}\sigma_{ann}^2
S=Arˉrfσ(rt)AS = \frac{A\,\bar{r} - r_f}{\sigma(r_t)\sqrt{A}}
So=ArˉrfE[min(0,rtrf/A)2]ASo = \frac{A\,\bar{r} - r_f}{\sqrt{\mathbb{E}[\min(0,\,r_t - r_f/A)^2]}\,\sqrt{A}}
MDD=mint(PtmaxstPs1)MDD = \min_t\left(\frac{P_t}{\max_{s \le t} P_s} - 1\right)
ρ=cov(rA,rB)σAσB\rho = \frac{\operatorname{cov}(r^A,\,r^B)}{\sigma_A\,\sigma_B}
t=ln(PtPt1)\ell_t = \ln\left(\frac{P_t}{P_{t-1}}\right)
Notation
PtP_t
Price on day t.
rtr_t
Simple daily return.
t\ell_t
Log daily return.
rˉ\bar{r}
Average daily return.
σ(rt)\sigma(r_t)
Standard deviation of daily returns.
AA
Annualization factor (days/year).
rfr_f
Annual risk-free rate.

Microsoft vs Nvidia: Frequently Asked Questions

Which has higher volatility: MSFT or NVDA?

NVDA showed higher volatility at 33.2% annualized, compared to 24.5% for MSFT Over the past year. Higher volatility means larger price swings in both directions.

Does MSFT provide diversification when held with NVDA?

MSFT and NVDA are moderately correlated over the past year, with an average correlation of 0.40. This offers some diversification benefit, though they still tend to move together during major market moves.

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

Over the past year, MSFT's 5% VaR was -2.43% and its 5% Expected Shortfall was -3.62% (worst 13 days). NVDA's were -3.38% and -4.14% (worst 13 days).

Do MSFT and NVDA crash together on bad days?

On shared dates (n=249), when NVDA has a 2σ down day, MSFT also does 0.0% (0/7 days). In the other direction, when MSFT has one, NVDA also does 0.0% (0/4 days).

Which has better risk-adjusted returns: MSFT or NVDA?

NVDA showed better risk-adjusted performance with a Sharpe ratio of 1.83 versus MSFT's 0.22 Over the past year.

Can MSFT and NVDA be combined in a portfolio?

Yes, though allocation sizing matters. Their moderate correlation offers some diversification benefits. NVDA's higher volatility (33.2%) means even small allocations can materially impact overall portfolio risk.

Explore our financial glossary