The beginning of the end for mutual funds

Thursday, January 26th, 2012

The vibe of the IndexUniverse’s InsideETFs Conference in Hollywood Florida I attended this week was one that I have felt before—a group that knows they’re changing the very structure of their industry.  It’s not just about being new, creative, or disruptive—it’s the sense of knowing you have won.

The mutal fund industry is still almost 10 times the size of ETFs/ETNs with $7.9 trillion in assets vs $1.0 trillion, but their size isn’t giving them economies of scale in terms of fees or performance.   According to Matt Hougan, President of ETF Analytics, IndexUniverse the weighted fee cost of  mutual funds is 0.83% of assets, almost triple the 0.32%  of ETFs.  For mutual funds to become competitive on fees they would need to charge $40 billion less.  With regards to performance the numbers from 2011 indicate that 90% of the actively managed mutual funds underperformed their comparable passive indexes.

At the beginning of the end:

     The last of the old dominant players start moving from denial to adoption.

  • Fidelity has announced they will be offering a wide range of ETF products
  • In March PIMCO will start offering TRXT, an actively managed ETF that will  track their flagship Total Returns Mutual Fund

      Products using the new technology achieve broad acceptance

      Remaining structural/regulatory barriers to the new technology start falling

  • Most 401K plans ($2.5 trillion in assets overall)  do not offer ETF products, but because of  ETF’s lower expense structures this will change.

      The key benefits of the new technology are apparent to everyone

  • ETFs have lower fees compared to the mutual funds with similar strategies
  • The tax efficiency of ETFs is demonstrably superior, just 7.5% had capital gain payout in 2011
  • ETFs trade throughout the day and their makeup is transparent to the buyer
  • Alternative investment strategies are easier to implement (e.g., volatility as an asset class, risk on/off)

    The old businesses still in denial will shift from data based arguments to fear

 

Just like the mainframe computer, the mutual fund will never die.  Some investors will never see a reason to change, especially to something they don’t understand. Others will never buy due to fear—mutual funds have a history, unlike these new unproven things.  But ultimately greed will lead most investors to overcome their fears, and mutual funds will join vacuum tubes as a technology has-been.

 

 

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Betting on contango with OILZ and GASZ

Thursday, January 12th, 2012

One of my primary goals is to invest where I have an objective edge.   There are many ways to try to get an edge, the two most common being:

  • Value investing—where you try to find companies that are currently undervalued, or likely to  grow their profits faster than expected
  • Technical analysis—where you use patterns or indicators to determine what a security will do next (e.g., head-and-shoulders, oversold / overbought)

Both of these approaches, in their standard usage require you to correctly predict a future price.  In June 2011 UBS introduced two new ETNs that get their edge by predicting that the traditional price differentials in futures contracts will be stable.  See this post (http://tinyurl.com/7f8fn3t) for details.  In theory these ETPs are not sensitive to the absolute price of the products (oil and natural gas)—they just need the term structure of the futures to stay close to their historical norms.

After six months that produced dramatic price moves in oil and natural gas, these funds are demonstrating they are insensitive to the commodity prices, and GASZ is showing a tidy 10% profit.  The charts below show the performance of OILZ and GASZ compared to popular ETNs that try to track the price of these commodities (USO & UNG).

Natural Gas: GASZ vs UNG

It looks to me like GASZ is a winner. The jury is still out on OILZ.  The price spikes on the charts are probably due to investors buying or selling when bid / ask prices were especially wide.  These products are lightly traded and require some research in order to set appropriate limit orders.

Disclosure: long positions in OILZ and GASZ

 

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Prediction: Dec 31,2012 S&P 500 close at 1418, up 12.78%

Tuesday, January 10th, 2012

One forecaster has correctly predicted the S&P 500 year-end close within an average 2% for the last 4 years:

Year End Estimated  Actual % Difference
31-Dec-08 879.82 903.25  +2.66%
31-Dec-09 1111.92 1115.1  +0.286%
30-Dec-10 1211.92 1257.88  +3.79%
30-Dec-11 1248.29 1257.60  +0.75%
31-Dec-12 1418.30    ??

 

This forecast is not from a  human, or a computer program—it’s the year-end closing value of the S&P from 6 years prior.   The chart below shows SPY (effectively 1/10 of the S&P) from 2003 to 2006 with SPY from 2009 to the present superposed on the same day of the month.

At the bottom I’ve shown the VIX index for these two different time spans.

I don’t believe patterns from the past are reliable in predicting the future.   It’s not surprising that markets recovering from crashes will show a similar trajectory, but since first seeing this pattern in November, 2009 I’ve been surprised at the close correlation.   This year showed the biggest divergence, with 2011 SPY going as much as 19% above the 2005 SPY and 10% below before moving back into synchronization.

One thing is clear—volatility since the 2008/2009 crash continues to be elevated.   I predict that the market in 2012 will not be for the faint of heart.

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Barclays XVZ as a market hedge—backtest to 2004

Wednesday, January 4th, 2012

In August 2011 Barclays introduced XVZ, the first of a new class of volatility funds that focus on protecting investors against tail risk.  Tail risk events (or Black Swans as Taleb calls them) are the unfortunate tendency of markets to not behave like statisticians (or investors) would like them to.  Typically markets are well behaved statistically, with daily returns clustered around zero.   The chart below shows the behavior of the S&P compared to a Bell curve, or Gaussian  /normal distribution.

S&P daily returns

At first glance, the match looks good, with the primary difference being the S&P has more go-nowhere days than the normal distribution.  However the chart points out market spikes on both sides that don’t match the normal distribution at all.  The normal distribution predicts that 6 standard deviation (or 6 sigma) events should happen only in around once out of 2.5 million trading days (~ 12,000 years).  Instead we have had them multiple times in recent decades.   These long tail events wreck havoc on portfolios designed around the normal distribution.  Years of gains are wiped out in days…

XVZ is designed to hold its value until these negative outlier events occur, and then it switches into action, aggressively increasing in value as volatility indexes spike up during the crash.   Adding XVZ to your portfolio has the effect of buying insurance against crashes.   The open questions are how much does this insurance cost, and how much is needed to hedge your portfolio.   Backtesting XVZ, to see how it would have performed in the past helps us get a feel (although no guarantee) for those factors.

The VIX/VXV  ratio is the key driver for XVZ’s operation.  Unfortunately the CBOE only provides daily VXV (93 day implied volatililty) data back to December 2007 on their website.  This is a showstopper for direct backtesting before that time.    However, I wondered if the ratio of the daily nearest month VIX volatility future settlement value, divided by the 3rd month VIX volatility future might be a reasonable surrogate.   The next chart shows these two ratios compared.

VIX/VXV vs Nearest / 3rd Month VIX Futures settlement

Not bad.   The next chart shows my XVZ backtest simulation using the VIX/VXV ratio and the Futures M1/M3 ratio.

XVZ backtest vix/vxv and VIX futures M1/M3

Again, not bad.  Especially encouraging is the close match in the earlier 2007 timeframe, relatively quiet times that were similar to the 2004 through 2006 market action.  Using the M1/M3 ratio, which my VIX futures spreadsheet has back to March 2004, I obtain the following result:

It looks like XVZ would have been quiet in 2004 through 2007, serving its hedge function without losing value.  More recent data suggest that in quiet markets XVZ will lose some value due to increased contango on medium term volatilty futures.   Adding the VIX index and SPY as a surrogate for the S&P 500 we have a composite picture below that reinforces the notion that XVZ is a good hedge against market crashes.

Bottom line, by this simulation (ignoring dividends) a $300 investment in XVZ on March 29, 2004 would have protected (no net capital loss) a $1000 investment in SPY (market bottom March 6, 2009, $XVZ+$SPY = $1338) and returned 67% overall  (30-Dec-2011) compared to 11% for a SPY only investment.   A difference in compound annual growth of 6.8% vs 1.6%.

 

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Automatic dividend history generation

Wednesday, December 28th, 2011

One of the services that I try to provide on Six Figure Investing is accurate ex-dividend and dividend history information for many of the popular ETFs.   Keeping this up-to-date can be a daunting task.

I’ve been experimenting with Google’s on-line spreadsheet documents, and I think I have created a way that you can generate the dividend history  (chart and data table) on any of iShares’ and SPDR’s ETFs—329 ETFs in all.   If it proves useful to viewers I will expand it to Schwab, and perhaps into Vanguard funds—provided I can obtain the information in a reasonable way.  The tool I have created is here.  Please let me know if you have problems with it, or suggestions on how I can make it better.

 

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iShare and SPDR dividend history

Wednesday, December 28th, 2011
If the stock / ETF you are looking for is not an iShare or SPDR ETF then I recommend Dividend Investors website for dividend history information.

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Tickers supported

AAXJ,ACWI,ACWX,AGG,AGZ,AIA,AOA,AOK,AOM,AOR,AXDI,AXEN,AXFN,AXHE,AXID,AXIT, AXMT,AXSL,AXTE,AXUT,BKF,CFT,CIU,CLY,CMF,CSJ,DSI,DVY,ECH,ECNS,EEM,EEMS,EFA,EFG, EFV, EIDO,EIRL,EIS,EMB,EMFN,EMIF,EMMT,ENZL,EPHE,EPOL,EPP,EPU,ERUS,ESR,EUFN, EUSA, EWA,EWC,EWD,EWG,EWH,EWI,EWJ,EWK,EWL,EWM,EWN,EWO,EWP,EWQ,EWS,EWT,EWU,EWW, EWY, EWZ,EWZS,EXI,EZA,EZU,FCHI,FEFN,FLOT,FNIO,FTY,FXI,GBF,GLJ,GTIP,GVI,HDV,HYG, IAI,IAK,IAT,IBB,ICF,ICLN,IDU,IDV,IEF,IEI,IEO,IEV,IEZ,IFAS,IFEU,IFGL,IFNA,IFSM, IGE,IGF,IGM,IGN,IGOV,IGV,IHE,IHF,IHI,IJH,IJJ,IJK,IJR,IJS,IJT,ILF,INDY,IOO, ISHG,ISI,ITA,ITB,ITF,ITIP,IVE,IVV,IVW,IWB,IWC,IWD,IWF,IWL,IWM,IWN,IWO,IWP,IWR, IWS,IWV,IWW,IWX,IWY,IWZ,IXC,IXG,IXJ,IXN,IXP,IYC,IYE,IYF,IYG,IYH,IYJ,IYK,IYM,IYR, IYT,IYW, IYY,IYZ,JKD,JKE,JKF,JKG,JKH,JKI,JKJ,JKK,JKL,JXI,KLD,KXI,LQD,MBB, MCHI,MUAA,MUAB,MUAC,MUAD,MUAE,MUAF,MUB,MXI,NUCL,NY,NYC,NYF,OEF,PFF,REM,REZ,RTL, RXI,SCJ,SCZ, SHV,SHY,SOXX,STIP,SUB,TGR,THD,TIP,TLH,TLT,TOK,TUR,TZD,TZE,TZG,TZI, TZL,TZO,TZV, TZW,TZY,WOOD,WPS,BABS,BIK,BIL,BWX,BWZ,CBND,CWB,CWI,CXA,DGT, DIA, DWX,EBND,EDIV, ELR,EMM,EWX,FEU,FEZ,GAF,GII,GMF,GML,GMM,GNR,GUR,GWL,GWX,GXC, HYMB,IBND,INY,IPD,IPE,IPF,IPK,IPN,IPS,IPU,IPW,IRV,IRY,IST,ITE,ITR,JNK,JPP,JSC, KBE,KCE,KIE,KME, KRE,LAG,LWC,MBG,MDD,MDY,MDYG,MDYV,MTK,PSK,RBL,RWO,RWR,RWX, SCPB,SDY,SHM,SLY, SLYG,SLYV,SPY,SPYG,SPYV,TFI,TLO,TMW,VRD,WIP,XAR,XBI,XES,XHB, XHE,XHS,XLB,XLE,XLF, XLI,XLK,XLP,XLU,XLV,XLY,XME,XOP,XPH,XRT,XSD,XSW,XTL,XTN
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Trading options near expiration

Tuesday, December 27th, 2011

Since the CBOE’s introduction of Weekly options, our opportunities to take advantage of expiration day dynamics have quadrupled for many stocks/indexes.  Depending on your position, it is fascinating/horrifying to watch the premium collapse on options in their last couple hours of trading.    Jeff Augen in SFO weekly has written an interesting article (New Approach to Trading on Expiration Dayon some of the underlying mechanisms behind the last day dynamics.

He points out that when a stock moves above a strike price (e.g., 380 for AAPL) on expiration day, covered call writers with just now in-the-money calls are motivated to close out their positions, as well as those long the calls.  The bid price on the options can be low enough that large scale option holders often prefer to exercise their options and sell the stock to close out their positions.   The combined selling pressure from these processes can mute, or even reverse an upswing in a stock.

 

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The VIXs of Christmas Past

Wednesday, December 21st, 2011

One of the persistent characteristics of the CBOE‘s VIX index is the Christmas Effect—the tendency for VIX to drop down to relatively low levels during the Christmas holidays.  The CBOE’s VIX volatility futures predict this drop for months in advance, and it has come to pass again this year.   I am aware of at least three possible explanations for this:

  1. Option market makers and others short options reduce their prices before the holidays so that they don’t get stuck with time decay (theta) during the multiple days off
  2. Traders in general go on vacation the end of December, volume drops, and the market becomes lethargic, reducing volatility
  3. People expect volatility to decrease, trade accordingly, and it becomes a self fulfilling prophecy

I am skeptical about calendar based trading strategies (e.g., The S&P was up 8.5% this October), but this effect has been persistent, perhaps because it is not as easy to profit from it.   The VIX index itself is not investable, and not many people are comfortable investing in VIX futures.

I was curious  how the VIX behaved over the last few years in December and January, so I generated the chart below using VIX historical data from the CBOE.

Nov / Dec VIX

To make the chart more readable I did a linear interpolation over weekends / holidays and used a 3 day moving average.  Although 2008 shows the Christmas effect, the market that year was clearly in an unusual state, so I have excluded it from the follow-on charts.  This next chart zooms in on the more normal years.

Dec / Jan VIX history--excluding 2008

There does seem to be a fairly consistent low around the 23rd of December, but what jumps out is the big uptick in volatility in the second half of January.  Only 2006 seems to have skipped this.  As I mentioned before, the VIX index is not directly investible—but the CBOE’s VIX futures are. I used my VIX futures master spreadsheet (http://tinyurl.com/8xwypqc) to generate the chart below showing the behavior of the front month VIX futures, the next ones to expire.

Dec / Jan VIX futures, excluding 2008

With the VIX futures the December dip comes a few days earlier, but the January upswing starts at about the same time.

In my experience the future is often uncooperative in repeating the past, but this VIX Yet to Come, looks like a reasonable bet.

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Hedging the S&P 500 with XVZ

Monday, December 19th, 2011

There are quite a few conservative investment strategies that deliver a good return if the underlying security doesn’t move much.   Covered calls and dividend collection are two that come to mind.   These strategies are conservative in the sense that they don’t require the security to go up in order to be profitable—in fact a stable price is just fine.  However, if the market tanks, both of these approaches can subject the investor to big losses that far outweigh the profits they offer.   Investing in volatility is an attractive way to hedge away this downside risk, because volatility usually goes up when the market goes down.   Usually is the operative word.  These last two weeks were an example of when this correlation fails.

Hedging the S&P with volatility, click to enlarge

The chart above tracks percentage changes since the first of December for SPY and two popular measures of volatility, the non-investable VIX, and VXX, which is one of the most popular ways to go long volatilty.  SPY ended up down 2.7% and both volatility measures went down over this period—a lot.  Not much of a hedge.  I’ve included the nearest two months of VIX volatilty futures to show that it is not just contango that is driving VXX down, the underlying futures dropped too.

One volatility ETN didn’t drop.   Not only did XVZ, Barclays’ Dynamic VIX fund go up, it went up about the same percentage as SPY went down—2.5%.

Hedging S&P --XVZ?, click to enlarge

XVZ has only been around since August 18, 2011 so our price history is pretty limited. The chart below shows the results of investing $1K each in SPY and XVZ, SPY and VXX, and $2K in just SPY.

$2K investment since Aug-11, click to enlarge

The SPY+XVZ combination is noticeably less volatile, with a standard devation one third of the others: 22 vs 75 and 78.   However five months is a really short time to judge a strategy like this, so I expanded the backtest a little, back to January 3, 2011 using my XVZ simulation.

XVZ hedge for S&P 500 through 2011, click to enlarge

This chart illustrates two other characteristics of XVZ.  It is designed to capture big volatility jumps, like the one in August, and hold onto them once they occur. And it too suffers from contango (first half 2011)  if it is severe enough—although it was minor compared to what happened to VXX.

Clearly XVZ is not a perfect mirror of the S&P 500, but its behavior when volatilty spikes makes it even more attractive than a pure hedge. Market panics are not predictable, and having a workable hedge that turns a panic into an opportunity is intriguing.

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SPY’s December, 2011 Dividend

Thursday, December 15th, 2011

SPY went ex-dividend Friday the 16th, so it is too late to buy the security and still receive this quarter’s dividend.  The dividend payout will be $0.7701 per share on January 31st, 2012.  Yes, SPDR is in no hurry to distribute the  $530,000,000 (!) in dividends that it collected last quarter for SPY.

For more information about SPY’s dividend and its sister ETFs IVV, and VOO see this page.

For general information about dividends (e.g., interactions with stock price, their interactions with options) see  Top 10 questions about dividends.

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