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Performance

^VXN Performance Chart

CBOE NASDAQ 100 Voltility Index (^VXN) is up 55.8% since the beginning of the year. ^VXN is currently trading at $30 per share. Investors who bought $1,000 worth of ^VXN shares 5 years ago would now be looking at an investment worth $1,436.


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S&P 500 Index

Returns By Period

CBOE NASDAQ 100 Voltility Index (^VXN) has returned 55.78% so far this year and 53.81% over the past 12 months. Over the last ten years, ^VXN has returned 7.16% per year, falling short of the S&P 500 Index benchmark, which averaged 13.33% annually.


CBOE NASDAQ 100 Voltility Index

1D
31.22%
1M
28.24%
YTD
55.78%
6M
55.30%
1Y
53.81%
3Y*
18.01%
5Y*
7.50%
10Y*
7.16%

Benchmark (S&P 500 Index)

1D
-2.64%
1M
-0.21%
YTD
7.86%
6M
7.47%
1Y
23.05%
3Y*
19.90%
5Y*
11.79%
10Y*
13.33%
*Multi-year figures are annualized to reflect compound growth (CAGR)

^VXN Monthly Returns History

Based on dividend-adjusted daily data since Jan 23, 2001, ^VXN's average daily return is +0.17%, while the average monthly return is +1.62%. At this rate, an investment would double in approximately 3.6 years.

Historically, 44% of months were positive and 56% were negative. The best month was Aug 2015 with a return of +105.1%, while the worst month was Oct 2011 at -35.9%. The longest winning streak lasted 5 consecutive months, and the longest losing streak was 11 months.

On a daily basis, ^VXN closed higher 46% of trading days. The best single day was Feb 5, 2018 with a return of +59.8%, while the worst single day was May 10, 2010 at -26.9%.


JanFebMarAprMayJunJulAugSepOctNovDecTotal
202615.13%8.88%15.17%-22.84%3.63%34.94%55.78%
20250.95%12.68%11.96%9.58%-24.93%-6.28%-1.69%-0.62%4.66%9.95%-3.73%-7.61%-1.81%
202412.65%-5.70%-3.20%10.62%-9.39%-2.75%37.25%-13.46%4.67%23.13%-35.36%23.96%22.96%
2023-6.56%2.37%-10.61%-14.75%9.94%-11.62%-1.18%-3.00%13.55%5.55%-25.56%-3.11%-41.30%
202242.26%8.49%-17.51%41.72%-13.70%9.69%-24.74%18.13%13.73%-14.89%-15.08%4.31%30.19%
202139.03%-9.03%-26.92%-8.00%-6.38%-6.06%3.33%-6.39%36.81%-26.30%39.46%-22.60%-21.28%

Benchmark Metrics

CBOE NASDAQ 100 Voltility Index has an annualized alpha of 106.67%, beta of -3.50, and R2 of 0.47 versus S&P 500 Index. Calculated based on daily prices since January 24, 2001.

  • This index tended to rise when S&P 500 Index fell (downside capture of -1161.31%), but participation in market rallies was also limited (-139.66%) - a profile typical of counter-cyclical assets.
  • Beta of -3.50 may look defensive, but with R2 of 0.47 this index is largely uncorrelated with S&P 500 Index - low beta reflects independence, not downside protection. See the Volatility section for a true picture of this index's risk.
  • R2 of 0.47 means the benchmark explains less than half of this index's behavior - treat beta with caution or consider switching to a more representative benchmark.

Alpha
106.67%
Beta
-3.50
0.47
Upside Capture
-139.66%
Downside Capture
-1,161.31%

Return for Risk

Risk / Return Rank

^VXN ranks 32 for risk / return — below 32% of indices on our site. The returns aren't fully compensating for the risk involved. This isn't necessarily a dealbreaker, but factor it into your decision — especially if you're risk-averse.


^VXN Risk / Return Rank: 3232
Overall Rank
^VXN Sharpe Ratio Rank: 2727
Sharpe Ratio Rank
^VXN Sortino Ratio Rank: 3636
Sortino Ratio Rank
^VXN Omega Ratio Rank: 3636
Omega Ratio Rank
^VXN Calmar Ratio Rank: 3232
Calmar Ratio Rank
^VXN Martin Ratio Rank: 2929
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

Return / Risk — by metrics

The table below present risk-adjusted performance metrics for CBOE NASDAQ 100 Voltility Index (^VXN) and compare them to S&P 500 Index.


^VXNBenchmarkDifference
Sharpe ratioReturn per unit of total volatility

-1.59

Sortino ratioReturn per unit of downside risk

-1.35

Omega ratioGain probability vs. loss probability

1.16

1.36

-0.20

Calmar ratioReturn relative to maximum drawdown

0.89

2.69

-1.80

Martin ratioReturn relative to average drawdown

1.67

12.34

-10.68

Drawdowns

Drawdowns Chart

The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.


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Worst Drawdowns

The table below displays the maximum drawdowns of the CBOE NASDAQ 100 Voltility Index. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.

The maximum drawdown for the CBOE NASDAQ 100 Voltility Index was 87.50%, occurring on Mar 20, 2017. The portfolio has not yet recovered.

The current CBOE NASDAQ 100 Voltility Index drawdown is 63.06%.


Related event

Drawdown

Fall

Recovery

Underwater

2017 bear market2017
-87.50%Mar 2017
15y 6mo
24y 8moSep 2001 - now
Dot-com crash2000–2002
-45.00%Jul 2001
2mo 8d2mo 20d
4mo 28dApr 2001 - Sep 2001
Dot-com crash2000–2002
-16.63%Apr 2001
3d12d
15dApr 2001 - Apr 2001
Dot-com crash2000–2002
-13.99%Mar 2001
22d10d
1mo 2dMar 2001 - Apr 2001
Dot-com crash2000–2002
-4.78%Feb 2001
1d3d
4dFeb 2001 - Feb 2001

Drawdown Indicators


^VXNBenchmarkDifference

Max Drawdown

Largest peak-to-trough decline

-87.50%

-56.78%

-30.72%

Max Drawdown (1Y)

Largest decline over 1 year

-47.43%

-9.10%

-38.33%

Max Drawdown (3Y)

Largest decline over 3 years

-61.32%

-18.90%

-42.42%

Max Drawdown (5Y)

Largest decline over 5 years

-67.20%

-25.43%

-41.77%

Max Drawdown (10Y)

Largest decline over 10 years

-83.03%

-33.92%

-49.11%

Current Drawdown

Current decline from peak

-63.06%

-2.97%

-60.09%

Average Drawdown

Average peak-to-trough decline

-69.40%

-10.72%

-58.68%

Ulcer Index

Depth and duration of drawdowns from previous peaks

25.20%

1.97%

+23.23%

Volatility

Volatility Chart

The chart below shows the rolling one-month volatility.


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Portfolio Analyzer

Build a portfolio with ^VXN

Add CBOE NASDAQ 100 Voltility Index to a portfolio and analyze allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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