Archive for February, 2007


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How Smart Are the Smart Guys?

Wednesday, February 14th, 2007


Are hedge funds the juiced up managers that deliver outsized returns to go along with their outsized fees? Or are they just mediocrity in disguise? Maybe they are former shadows of the heyday years of Tiger and Soros? Or maybe there are some great ones, and some awful ones. . .

There is very little in the academic literature regarding the use of 13F filings to delve into institutional manger long-only holdings. One teriffic working paper I have come across is written by a University of Texas professor, John Griffin, and titled, “How Smart are the Smart Guys? A Unique View from Hedge Fund Stock Holdings”

The ABSTRACT is below, but I will save you the time in reading the 61 page article(great paper however) with my summary following the abstract (bold text is my edit):

- Hedge fund assets have grown 32-fold from $38B in 1990 to $1.225T in 2006.
- 30-40% of hedge funds are L/S Equity Funds.
- He examines 306 hedge funds from 1980 to 2004 from 13F filings.
- 13Fs include positions that are greater than 10,000 shares or $200,000.
- Median hedge fund has twice the quarterly turnover of the median mutual fund.
- Compared to mutual fund weights, hedge fund weights are much less like the market portfolio.
- Relative to mutual funds, hedge funds are overweight small caps and underweight large caps.
- Hedge funds prefer medium-sized value stocks but strongly avoid the largest value stocks.
- Hedge funds are not heavy momentum players, and relative to CRSP and mutual fund weights, they have larger holdings in past loser stocks.- Hedge funds prefer stocks with low analyst coverage, less liquidity, and more volatility.
- Statistically significant, but economically weak evidence that hedge fund trading leads mutual fund trading.
- Large bets (concentrated positions) do not pay off for mutual or hedge funds (contrasting the Morgan Stanley study).- Hedge stock picking added 2.15% p.a vs only .82% for mutual funds.
- Most of this outperformance is generated in 1999 and 2000.
- No evidence of sector timing ability in hedge funds.
- Average correlation of .55 (.64 median) for long-only compared to reported returns for funds. (Exactly what we found for Greenlight, .55)

Another paper is by Rene Stulz titled, “Hedge Funds: Past, Present and Future“. In the paper he opines that “the performance gap between hedge funds and mutual funds will narrow, that regulatory developments will limit the flexibility of hedge funds, and that hedge funds will become more institutionalized.”

ABSTRACT for Smart Guys Paper

“We provide the first comprehensive examination of hedge funds’ long-equity positions and the performance of these stock holdings. Compared to mutual funds, hedge funds have higher turnover, weights further away from the market portfolio, prefer smaller opaque securities, and their trading moves slightly in front of mutual funds. However, despite their active trading nature, aggregate hedge fund trading and holdings are not beneficial in predicting the cross-section of future stock returns, indicating that on average hedge fund long-equity positions are not informed. Decomposing returns into three components, we find some weak statistical evidence on a value-weighted basis that hedge funds are better at stock picking (1.32 percent per year) than mutual funds, but this result is driven by tech stock holdings in 1999 and 2000 and becomes statistically insignificant if looking at equal-weighted performance or with price-to-sales benchmarks. The sector timing ability and average style choices of hedge funds are no better than that of mutual funds. Additionally, we fail to find differential ability between hedge funds. Overall, our study raises serious questions about the proficiency of hedge fund managers.”

Guru Lazy Portfolios

Tuesday, February 13th, 2007


One of the most often asked questions I get regarding my paper is “Why do you have such a large allocation to real assets?” (ie I divide the asset classes evenly with 20% weightings, thus assigning 20% each to Commodities and REITs).

The main reason was making the portfolio as simple as possible. Second, I wanted to emulate the endowment method of investing. As described in a previous post where I examined the Harvard and Yale endowments – once you stripped out the private equity and hedge funds (something the typical retail investor doesn’t have access to and they are neither liquid nor exchange traded), and then averaged the two endowments, the results were a near even distribution between US Stocks, Foreign Stocks, Real Estate, Bonds, and Commodities.

Inspired by all the Laziness going on at the Kirk Report (they’re reporting on Guru recommended asset allocation weightings), we set up to examine the historical performance of each Guru portfolio since 1972. We will provide both historical returns for that strategy, as well as the results had you used my timing method. All results are total return, gross of any fees or taxes, and rebalanced.

Portfolio will refer to buy and hold, while “Timing” will refer to the trendfollowing method outlined in my paper. Sharpe uses 4% rfr, and MaxDD = maximum drawdown since 1972.

1. Endowment Model (From my paper)
20% US Stocks (S&P 500)
20% Foreign Stocks(MSCI EAFE)
20% US 10Yr Gov Bonds
20% Commodities (GSCI)
20% Real Estate (NAREIT)

2. 60/40 Standard Allocation
60% US Stocks, 40% US Bonds

3. Andrew Tobias Three Fund Lazy Portfolio (Also similar to Bill Shultheis & Scott Burns’s 3 Fund portfolios)
33% US Stocks
33% Foreign Stocks
33% US Bonds

4. Swensen model, from his book Unconventional Success
30% US Stocks
20% REITs
20% Foreign Stocks
30% Bonds (He recommends short term US and TIPS)

5. William Bernstein Basic No-Brainer Portfolio
25% US Stocks
25% Small Cap Stocks (We use Nasdaq as our small cap index doesn’t start till 1978)
25% International Stocks
25% Bonds

Here is a summary of the results for the Buy and Hold allocations (Note that the Timing model increased the Sharpe ratio in every case). As you can see, the endowment method produces both the highest CAGR with the lowest volatility (lower than bonds), resulting in the highest risk adjusted returns. This is very likely due to the inclusion of commodities into the portfolio, an allocation that Guru’s have been missing for a long time. What is interesting to note is that virtually all the Guru portfolios have about the same characteristics, notably not acting much differently than a simple 60/40 stock bond allocation. The endowment method produces returns that are equity like, with bond like risk and drawdown measures. As is often missed in the asset allocation debate, the golden key is finding truly uncorrelated asset classes. . .Comic books anyone?

What Buy and Hold Allocation had the best risk adjusted returns? In order from Best to Worst was (Sharpe, CAGR):

Endowment .75, 11.57%
Swensen .56, 10.80%
Tobias .53, 10.69%
60/40 .52, 10.43%
Bernstein .44, 10.66%
S&P500 .41, 11.24%
Bonds .39, 8.35%

Below are the equity curves that closely resemble rainbows. . .both log and non-log.

Example ETF’s that reflect asset classes discussed in this article are:

A Global Factor Approach to Asset Allocation

Monday, February 12th, 2007


For those that read my paper, “A Quant Approach to TAA“, I examined the use of a single factor (momentum) in constructing a global portfolio. There are a whole host of other factors, and Harindra de Silva right down the road at Analytic Investors has a great article titled, “Modern Tactical Asset Allocation“. If you can’t access that site here is a shorter free version.

Harindra de Silva outlines 3 sources of exposure that investors can use to increase their performance.

1. Systematic Market Risks – Normal world betas such as stock market risk, credit risk, interest rate risk, emerging markets, and commodities.

2. Individual Security Factors – The French-Fama factors: momentum, size (market cap), and price/earnings.

3. Global Market Factors – Focuses on the relative returns across countries, within a particular asset class.

AI goes on to further categorize the global market factors below:

Equity Markets – Earnings yield and momentum.

Fixed Income Markets – Term structure (10Yr gov – 1Month euro rate), and real interest rates (10Yr gov – inflation).

Currency Markets – Interest rate differential relative to the US Dollar.

An interesting study would be to look at a basket of global equity indices. Then rank those indices on two measures, 12Month return, and Earnings Yield, and take the highest scoring X-holdings (or form a long-short portfolio).

If anyone has seen a study with those two factors, let me know. . .

Published!! Errr…sort of. . .

Saturday, February 10th, 2007

(EDIT: They have since corrected the mistake)
I have a research paper that just got published in the Spring 2007 Journal of Wealth Management titled “A Quantitative Approach to Tactical Asset Allocation”.

(Un)fortunately, someone on the web team confused my name Mebane with Melanie (not even the correct gender!), so now I have a female pseudonym. (I haven’t had an imaginary identity like this since playing whiffle ball when I was 7 years old and used ghost runners)…
You can purchase “Melanie’s” article at the JWM site, or find the article (for free) on SSRN http://ssrn.com/abstract=962461

Buffett Follow Up

Friday, February 9th, 2007

S&P has a published screen that follows the Buffett methodology based on Robert Hagstrom’s book “The Warren Buffett Way: Investment Strategies of the World’s Greatest Investor.” The criteria are as follows:

1. Owner earnings (cash flow – capital expenditures) > $50M (changed in February 2006 from $20M).
2. Net margins > 15% for the trailing 12 months.
3. ROE > 15% for previous Q and every year for the last three years.
4. Retained earnings that have grown less than the market cap, on an absolute basis, in the last 5 years.

Over the same time period, a monthly rebalance of this screen would have done ~11.4% vs. ~14% for the 13F method we mentioned in our previous article “How to REALLY trade like Warren Buffett . The S&P screen would have been more active, as well as more volatile. So why not just buy what Buffett is actually buying?

Let me know if you have any funds of particular interest that you would like me to take a look at. Blue Ridge, Maverick, Private, and Appaloosa are all on our (lengthy) list. . .

REALLY…..? with Seth and Amy

Friday, February 9th, 2007

In a recent clip from Saturday Night Live , the show features a news segment titled “Really, with Seth and Amy”. The skit focuses on the recent law difficulties of Michael Vick (who has since been shown innocent). Its quite hilarious (with a nod to the JT skit _ in a box – timely for Valentines Day!), and reminded me of a couple market related items. . .

Momentum, and its trading cousin trend-following, plays a large role in many of the strategies I follow. One example is the current performance of REIT stocks (with today being an obvious exception). Many pundits will go on TV and claim that an asset class (or stock) can’t possibly go any higher (or lower, see 2000-2003 in stocks).

REALLY? How many times on the chart could you have said, REALLY?

Take a look at the chart for the IYR Real Estate i-shares. How many times has the front page of a magazine or newspaper exclaimed that housing is dead and the real estate market is in a massive bubble, etc etc. (FWIW, there is way too much talk of bubbles in general in my opinion. Ken Fisher says it best when he states “It’s not a bubble if people are calling it a bubble”.)

On a somewhat variant note, billions of dollars have recently been allocated to equal weighted indexes. Are they coming on-line at the wrong time for investors? A look at the S&P 500 sorted by market cap decile reveals that the largest cap stocks are the cheapest by PE Ratios. . .

The Little Stock That Beats The Market

Tuesday, February 6th, 2007

Joel Greenblatt recently wrote an investment book titled “The Little Book That Beats The Market.” It included a description of an investment strategy focusing on a magic formula with two inputs – high return on capital and a high earnings yield. The book is a great intro into factor based equity screening. Currently he owns four stocks – Wal Mart (WMT), American Express (AXP), Autozone (AZO), and Aeropostale (ARO). You can follow along with his holdings here.

Interestingly enough, Grennblatt’s siter runs her own hedge fund (Saddle Rock Capital) with ~ $170M AUM. Even more interesting, she only owns two stocks – Aeropostale(ARO, 2.9M shares) and Abercrombie and Fitch (ANF, 1.2M shares). Talk about some serious cajones! But then again, it was none other than Buffett himself that said, “Wide diversification is only required when investors do not understand what they are doing.”

So, the Greenblatt’s own over 3.5M shares of ARO, and its at new highs after breaking through a quadruple (quintuple?) top. Technicians everywhere are salivating. . .

But does high conviction as an idea result in excess returns, or is it simply an example of the gambling nature of hedge funds?

Morgan Stanley has developed a screen based on the hedge fund conviction premise. They examine stocks in the S&P 500 that have 1) high hedge fund ownership in percentage terms, 2) but owned only by a few funds (meaning it is their best idea(s)).

They take the top 25 stocks where the hedge funds own the highest % of shares outstanding. From that list, they select the 10 lowest number of hedge fund positions. They rebalance 15 days after the 13Fs are filed (60 days after the Q end). Their database includes survivor bias (it doesn’t include stocks that are no longer traded), which, at least in our research so far, biases the results up a few hundred basis points.

Regardless, they found the strategy significantly outperformed the indices over the 1999-2006 time period. The results are a bit fantastic (500% total return for the strategy vs. ~ 20% for the S&P over the same time period), but it bears watching.

NEW LOOK

Monday, February 5th, 2007

When I first started blogging, I wanted to keep the topics separated on their own blogs. Since writing consistently on four separate blogs is a hassle (and readers have been requesting I consolidate), I’m moving them all to World Beta.

From now on, I will tag the posts and readers can follow the topic specific posts by the Labels on the right hand side of the blog. . .Hope this makes it easier for everyone. . .

Show Me Your Hand – Betting on the Smart Money

Monday, February 5th, 2007

Last summer David Einhorn won $659,730 for placing 18th in the World Series of Poker. Thats a pretty nice take for most people, but Einhorn isn’t most people. The 37-year old fund manager donated all of the proceeds to the Michael J. Fox Foundation for Parkinson’s Research. Placing 18th out of over 8,000 entrants is an amazing accomplishment, but so is beating the financial markets with a 25%+ return for the previous decade.

Einhorn started his hedge fund, Greenlight Capital, in 1995 after getting rejected from every Ph.D. program to which he applied. That $1M starting stake has since grown to over $4 billion.

In poker, it would be a huge advantage to know what cards the other players are holding. Being privy to what the best hedge funds on the Street hold would be a major advantage as well. By taking a dive into the SEC Edgar database and 13F filings, and investor can do just that.

Below we take a look at Greenlight’s holdings since 2000 via the 13F forms in a method similar to the Buffett study. The only variant is that this time we only take the top 10 holdings by size in the portfolio (to make it more manageable to track for the investor). Again, it includes all stocks that are no longer listed due to delistings, buyouts, mergers, bankruptcies, etc.

Many people would argue that I am simply taking advantage of the crystal ball effect (I know that Greenlight has done well in the past). True, but I would much rather have Einhorn picking my stocks (or Johnny Chan playing my cards) than your average mutual fund manager that can’t even beat his benchmark.

Some would also argue that the good returns are behind him, and that the size of his fund is restrictive. To that I say take a quick peek at what Citadel and SAC did in returns in 2006, both of which are > $10B in assets (Hint: Its over 30%).

(Note: We included all stocks no longer listed. While most people believe that including the stocks will increase results (takeovers, etc), in our two examples below they REDUCED results by ~400 bps. . . )

RESULTS FOR GREENLIGHT AND EMINENCE

The results were very strong, and will differ from those achieved by Greenlight for a whole host of reasons. Since this portfolio is long-only, the returns should be more volatile than his long-short fund. (One could also run this or any portfolio long with index or option hedges). Regardless, the results are below with ~30% annual returns, 30% volatility, and a Sharpe of around .95. If you then subtract the 2% management fee and 20% performance fee, you get pretty close to the 25% return reported in the general media for GL.

Greenlight’s current holdings can be found here, and include:

MSFT
AMP
MDC
HSP
MIM
WGII
NEW
CF
GNW
AHM
DHI
FLML
FDC
WU
FICC
ICO
LYV
TX
FSL
And another strong performing fund, Eminence, returned ~22% with 20% volatility and a Sharpe of around .90.

Eminence’s current holdings can be found here, and include:
SCHW
ORCL
CSCO
WU
ETN
MCD
ROST
LEN
PHG
MSFT
BC
AMAT
ARB
QCOM
FISV
DELL
CTAS
WLT
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