This post was originally published on September 10th, 2007.  It has been republished from a previous version of the site.  Note that since this post was published, a number of VIX exchange-traded assets have hit the market.

As this past summer has seen a long-term regime change in the systemic market volatility, discussion of the VIX and other volatility indices has picked up dramatically.  Though volatility has been an issue many times in the past, however, one thing has changed since the last period of high volatility – more and more investors expect more and more complicated products to be tradeable in easier and easier ways.  For example, the ETF market has provided a large number of products specializing in commodities, bonds, and even inverses.  None of these are assets that are impossible or sometimes even difficult to trade, but in sum, there are hundreds of ETFs and CEFs new in the past 10 years that provide nothing but access to these holdings.

As we discuss volatility, though, there are a number of problems.  First, although the VIX is the most understood volatility proxy, its products are by no means the most liquid.  Secondly, the VIX is designed as an theoretical price, not an asset – this is advantageous in that it is quoted in units of the underlying asset, but volatility is much more expensive and difficult to hedge than variance.   This is obvious when one compares the liquidity of the variance swap market to any VIX-related derivatives, though somewhat confusing to the an outside investor who is told that they are merely related by squaring or square-rooting.

Having admitted that the variance swap market is very liquid, and that the two are related by such a simple mathematical operation, why then is a volatility ETF still so far away?  The problem is likely due to the fact that the reason outside investors want a volatility proxy is diametrically opposed to the safety of the ETF issuer.  When ETF investors discuss the VIX and their desire for such a product, they are not thinking of realizing the arbitrage profit between implied and future realized volatility – they’re thinking of realizing a hedge against the Poisson jump part of the Merton market model.  The problem is that these larger shocks are nearly impossible to hedge against without high expenses, and given the volatility of volatility in the market presently, such losses would likely sum to a figure that would have the ETF holders even more upset than various oil commodity ETF holders earlier this year.  Add to this the fact that nearly all products are OTC markets and the asymmetry of risk for buyer and seller in any risk market and you probably have those insurance and risk analysts putting up roadblocks left and right.

Don’t get me wrong, I am all for a volatility proxy ETF myself, and have even seen hits on this site originating from various ETF issuers on the very topic of replicating the VIX, but I’m not too optimistic in the short term for a product with a safe and sustainable structure.  While I’m out on the line making predictions though, let me add this last one as a hedge – if we do see a volatility-tracking ETF in the next 2 years, expect it to come with one of the top 5 expense ratios in the market.

This post was originally published on September 10, 2007. It was imported from a previous version of the site.

As this past summer has seen a long-term regime change in the systemic market volatility, discussion of the VIX and other volatility indices has picked up dramatically.  Though volatility has been an issue many times in the past, however, one thing has changed since the last period of high volatility – more and more investors expect more and more complicated products to be tradeable in easier and easier ways.  For example, the ETF market has provided a large number of products specializing in commodities, bonds, and even inverses.  None of these are assets that are impossible or sometimes even difficult to trade, but in sum, there are hundreds of ETFs and CEFs new in the past 10 years that provide nothing but access to these holdings.

As we discuss volatility, though, there are a number of problems.  First, although the VIX is the most understood volatility proxy, its products are by no means the most liquid.  Secondly, the VIX is designed as an theoretical price, not an asset – this is advantageous in that it is quoted in units of the underlying asset, but volatility is much more expensive and difficult to hedge than variance.   This is obvious when one compares the liquidity of the variance swap market to any VIX-related derivatives, though somewhat confusing to the an outside investor who is told that they are merely related by squaring or square-rooting.

Having admitted that the variance swap market is very liquid, and that the two are related by such a simple mathematical operation, why then is a volatility ETF still so far away?  The problem is likely due to the fact that the reason outside investors want a volatility proxy is diametrically opposed to the safety of the ETF issuer.  When ETF investors discuss the VIX and their desire for such a product, they are not thinking of realizing the arbitrage profit between implied and future realized volatility – they’re thinking of realizing a hedge against the Poisson jump part of the Merton market model.  The problem is that these larger shocks are nearly impossible to hedge against without high expenses, and given the volatility of volatility in the market presently, such losses would likely sum to a figure that would have the ETF holders even more upset than various oil commodity ETF holders earlier this year.  Add to this the fact that nearly all products are OTC markets and the asymmetry of risk for buyer and seller in any risk market and you probably have those insurance and risk analysts putting up roadblocks left and right.

Don’t get me wrong, I am all for a volatility proxy ETF myself, and have even seen hits on this site originating from various ETF issuers on the very topic of replicating the VIX, but I’m not too optimistic in the short term for a product with a safe and sustainable structure.  While I’m out on the line making predictions though, let me add this last one as a hedge – if we do see a volatility-tracking ETF in the next 2 years, expect it to come with one of the top 5 expense ratios in the market.

This post was originally published on May 25th, 2007. It has been slightly modified from a previous version of the site.

One of the common threads of discussion in the financial community lately has been volatility – where it is now, where it has been, and where it might be soon.  Though yesterday’s events certainly caused a spike, the futures this morning seem to indicate that the VIX will likely drop again into the weekend.

Regardless of what will happen today, I wanted to cover which ETFs, either by asset choice or by asset management, are most affected by the VIX and what it represents.

Below are the twenty most and least correlated ETFs and CEFs to the VIX.

Twenty Most Negatively Volatility Correlated ETFs and CEFs

Symbol Corr
JSC -20.42%
MVV -19.76%
SSO -17.30%
DDM -16.28%
KRE -15.46%
JPP -14.79%
DXD -12.77%
SDS -12.76%
MZZ -12.37%
XPH -11.31%
KIE -10.17%
RPV -9.88%
CHI -9.71%
QTEC -9.67%
QID -9.54%
HCF -9.50%
DBC -9.48%
MUA -9.20%
PNI -9.16%
NZX -8.49%

Ten Most Positively Volatility Correlated ETFs and CEFs

Symbol Corr
PTH 10.61%
XRO 10.62%
DPD 10.66%
EGF 10.69%
PIC 11.36%
PIQ 11.36%
RYE 11.37%
FXA 11.74%
DEF 12.28%
PYZ 12.61%
PJB 12.84%
NFO 13.10%
CVY 13.18%
STH 13.79%
PSQ 14.27%
EEB 14.52%
PFI 14.91%
DOG 15.85%
MYY 16.52%
SH 18.64%

Strangely there are both long and short ETFs on the negatively correlated side.  JSC, MVV, SSO, and DDM are all common cap-specific S&P and Dow trackers.  DXD and SDS, however, two funds inverse on some of the exact same assets, are also in the list.

This suggests to me that the options and futures used to manage the leverage or inverse on these funds are too sensitive to volatility.  Though I would expect any reasonable fund manager to be able to partially vega hedge, it would seem to me that SDS nor DXD are far too vega-sensitive given that similar short funds are on the exact opposite side of the table.

On the positively correlated side, the top three ETFs are inverse on the cap-specific S&P and Dow indexes.  Interestingly, the financial and insurance ETFs and the Claymore BRIC EEB seem to be where money flows when the volatility increases, though it is important to note that regional banking as in the top negatively correlated assets.

As well as these, it’s also interesting to note the other funds that have done well.  Most seem to be related to dividends or currency, as the Australian dollar fund and the Zacks dividend yield hog are in the top 20.  It’s interesting to see that the Claymore Defense fund also see positive correlation here, but this is probably not causal but coincidental, given security shocks normally drive money to defense naturally.

It’s also nice to see DPD in there, as it is a Dow covered call fund.  This shows that the asset is well managed, as holding calls while volatility increases should be profitable.

In conclusion, though there are some surprising results that possibly indicate poor derivative management of inverse funds, the results can largely be used to hedge against volatility changes in non-derivative portfolios.