Letting the VIX tell us when to get out
Commentary: The VIX’s track record as a contrarian indicator
new
March 6, 2013, 9:27 a.m. EST
By Mark Hulbert, MarketWatch
CHAPEL HILL, N.C. (MarketWatch) — Can the VIX help us know when it’s time to leave the incredible party Wall Street is throwing?
That’s a crucial question following a day in which the Dow Jones Industrial Average
DJIA
+0.29%
surged to an all-time high and investors remained as confused as ever
about how much further the bull market can go. And the question was on
my radar screen anyway, since the VIX was prominently among the myriad
indicators you collectively suggested to me in response to my offer two
weeks ago to test which of them might have good track records at
identifying market tops. Read my Feb. 19 column: How to know when it’s time to leave the party.
Unfortunately, my research suggests that the CBOE’s Volatility Index
VIX
+0.22%
leaves a lot to be desired as a market-timing indicator. In contrast to
what many contrarians believe, low VIX levels are not bearish. And high
levels are not necessarily bullish either. Keynote Speaker: Timing the market should set off your alarm bell, writes Schwab CEO Walt Bettinger.
The VIX’s median level over the last couple of decades — the dividing
line such that half the historical values are below it and half above it
— is 18.8. As you can see in the accompanying table, the Wilshire
5000’s average 6- and 12-month returns following below-median VIX levels
are higher than what they have been following above-median levels.
When VIX is... | Subsequent 1 month | Subsequent 3 months | Subsequent 6 Months | Subsequent 12 months |
Below median | 0.9% | 2.6% | 5.6% | 12.5% |
Above median | 0.9% | 2.8% | 5.2% | 9.6% |
To be sure, just the opposite is the case at the 1- and 3-month
horizons. But these differences are not statistically significant at the
95% confidence level that statisticians often use to determine if a
pattern is genuine.
How could investors have been so wrong in their interpretation of the
VIX? My hunch is that their mistake is thinking that it is a fear gauge,
with low levels indicating excessive complacency and high levels an
excess of fear. But fear is not really what the VIX measures.
Fear is not really what the VIX measures.
It instead is a measure of expected volatility, as reflected in option
premiums. In the complex algorithm used to calculate the VIX, both big
upside and big downside moves contribute more or less equally. Since
these large up and down moves often largely cancel each other out,
average market returns following high VIX levels are not higher than
they are following low VIX levels.
Some of you, in urging that I take a look at the VIX, suggested a
different interpretation: Rather than on absolute levels, I should focus
on where it stands in relative terms. Unfortunately, I was unable to
find much value in this alternate approach — at least when I measured
how the Wilshire 5000 total-return index performed whenever the VIX was
above or below several of its moving averages.
As you can see from the accompanying table, there are only minor
differences between how the market proceeds to perform when the VIX is
above its recent moving averages and when it’s below. And none of those
differences is significant at the 95% confidence level.
When VIX is | Subsequent 1 month | Subsequent 3 months | Subsequent 6 months | Subsequent 12 months |
< 1 month average | 0.9% | 2.6% | 5.1% | 10.8% |
> 1 month average | 0.8% | 2.5% | 5.3% | 11.0% |
< 3 month average | 1.0% | 2.8% | 5.9% | 11.1% |
> 3 month average | 0.8% | 2.3% | 4.6% | 10.5% |
Entire sample | 0.8% | 2.5% | 5.1% | 10.8% |
None of this is to suggest that there aren’t other ways in which the VIX
might be used as part of a profitable market-timing strategy.
But I have my doubts when it comes to any of the more straightforward ways in which investors typically use the VIX.
Mark Hulbert is the founder of Hulbert Financial
Digest in Annandale, Va. He has been tracking the advice of more than
160 financial newsletters since 1980. Follow him on Twitter
@MktwHulbert.
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