Archive for January, 2009


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Global Asset Allocation Summit & Weekend Reading

Friday, January 30th, 2009

Anyone going to this conference next week?  I will be there Monday, and if you’re there drop me a line.   Although I wish I was going to the TED conference.  Anyone want to sneak me in?

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I just added a linkfest of books and research papers on the reading list tab above.    If you have any links, papers, or books that you think I would like send them over!

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The new blog design (as well as the upcoming book homepage and new Cambria site) was done by Cavendo.  I cannot recommend their work highly enough!!

 

A Simple Post on Gold

Thursday, January 29th, 2009

This is going to be the most subjective and least quantitative post out of the 500 odd posts I have written.  I am not a gold bug, and while I have written that gold shares are attractive relative to gold in the past, I don’t see a lot of strategic value of gold to a portfolio (tactical, yes). 

Gold is currently above both its 50 and 200 day SMAs.  Before someone asks, yes, using a long term simple moving average increases absolute and risk adjusted returns while reducing drawdown vs. a buy and hold of gold.

That having been said, and this is probably an Occam’s 5th Grade level observation, but is there anyone out there that believes that if/when gold breaks through the 1000 level that it doesn’t zoom straight to 1300 or 1500?  Once that huge psychological barrier of 1000 is broken (it has already been tested once) I think the sky is the limit.

A simple strategy would be to buy gold (futures, GLD, or gold shares are probably even better GDX) call options far out of the money.   Since I have no idea when gold might break 1000 (if it ever does) it could also make sense to buy a call spread and keep rolling them over until gold gets to 1000. 

Just a thought. 

Update: 

Lots in the academic literature on round numbers.  One example:

"Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis.” – Osler, The Journal of Finance 58(2003):

"This paper shows that requested execution rates for stop-loss and take-profit orders cluster at round numbers, consistent with existing evidence on limit orders in stock markets.  Its also shows that the pattern of clustering differs across order types and could produce the price behaviors predicted by technical analysis.  Executed take-profit orders cluster more strongly at round numbers than do stop loss orders.  Since take-profit orders should tend to reverse price trends, exchange rates should tend to reverse course at round numbers when they hit take-profit dominated order flow.  Executed stop-loss buy orders cluster most strongly just above round numbers, and executed stop-loss sell orders cluster most strongly just below round numbers.  Since stop-loss orders should tend to propagate trends, exchange rate trends should be relatively rapid after the rate crosses a round number and hits stop-loss dominated order flow."

PS  Anyone remember when I wrote in December that gold was in backwardation?  That didn’t last long.

PPS If there is anyone who doesn’t think that risk management is important, then you clearly don’t know anyone who (still) owns Russian stocks.

Foreign Listed Hedge Funds

Wednesday, January 28th, 2009

are trading at ridiculous discounts (ala closed-end funds in the US) right now.  Third Point is trading at a 30% discount to NAV (and it was 50% at the end of the year)!

http://www.thirdpointpublic.com/

Update: You have to be careful with these funds as they can be illiquid and trade widely around their NAV.  There are also some screwy tax issues if you hold them in a taxable account.  I have written about them lots in the archives, and I have a whole chapter on them in my upcoming book.

 

 

FUND Website  
Multi-manager/multi-strategy      
Absolute Return Trust   www.absolute-funds.com Fauchier Partners
Aida   www.aidafund.com Aida Capital
Alternative Inv. Strategies   www.aisinvest.com Close Fund Services/International
Altin AG ($)   www.altin.ch Alternative Asset Advisors
CMA Global Hedge (€)   www.cmaglobalhedge.com Capital Management Advisors
Dexion Absolute   www.dexionabsolute.com Dexion Capital/Harris Alternatives
Dexion Alpha Strategies   www.dexionalpha.com Dexion Capital/RMF Investment
Dexion Equity Alternative   www.dexionequity.com Dexion Capital/K2
Dexion Trading   www.dexiontrading.com Dexion Capital/Permal Group
GS Dynamic Opportunities   www.gs.com/gsdo Goldman Sachs Hedge Fund
Gottex Market Neutral   www.gottexfunds.com Gottex Fund Management
HSBC European Absolute (€)   www.hsbcabsolute.com HSBC Management/HSBC
HSBC Global Absolute (US$)   www.hsbcabsolute.com HSBC Management/HSBC
INVESCO Perp Select Hedge   www.invescoperpetual.co.uk/ipst INVESCO/Fauchier Partners
KGR Absolute Return   www.kgrcapital.com Kleinwort Benson (ChannelIslands)/KGR Capital
Opus Alternative Strategies   www.newfinancepartners.com NewFinance Capital
PSolve Alternatives PCC   www.psolvealt.com PSolve Alternative Investments
Tapestry   www.ramius.com Kleinwort Benson (ChannelIslands)/Ramius HVB Partners
Thames River Hedge+   www.thamesriver.co.uk Thames River Capital
Multi-manager/single-strategy      
AcenciA Debt Strategies   www.acencia.com Saltus/Sandalwood
F&C Event Driven   www.fandceventdriven.com F&C Management/F&C Partners
FRM Credit Alpha   www.frmcredit.com FRM Investment Management/
Saltus Euro Debt Strategies   www.saltus.com Saltus CI/Saltus Partners LLP
Signet Global Fixed Income   www.signetmanagement.com Signet Capital Management/
Single Manager/Fund of funds      
Cazenove Absolute Equity   www.cazenovecapital.com Cazenove Capital Management
Close AllBlue   www.closeallbluefund.com BlueCrest Capital Management
Close Man Hedge   www.closemanhedgefund.com Man Global Strategies
JPMorgan Progressive Multi-Strategy   www.jpmprogressivemultistrategy.co.uk JPMorgan Asset Management
Single manager hedge funds      
BH Macro (US$)   www.bhmacro.com Brevan Howard Offshore
Boussard & Gavaudan (€)   www.bgholdingltd.com Boussard & Gavaudan Asset
MW Tops (€)   www.mwtops.eu Marshall Wace
RAB Special Situations   www.rabspecialsituations.com RAB Capital
Third Point Offshore (US$)   www.thirdpoint.com Third Point LLC

Four Factors and Two Regimes – Performance in Up and Down Markets

Wednesday, January 28th, 2009

CXO summaries the paper "The Effect of Market Regimes on Style Allocation", by Manuel Ammann and Michael Verhofen:

  • There are two reasonably distinct overall equity market regimes with different mean returns and volatilities: low-volatility and high-volatility. Market volatility is 2.6 times higher for the latter regime than for the former.
  • The low-volatility regime, occurring about three quarters of the time, relates to high annual returns for the overall equity market (10.2%) and momentum stocks (12.4%), and low annual returns for small capitalization stocks (1.9%) and value stocks (2.6%).
  • The high-volatility regime, occurring about one quarter of the time, relates to low annual returns for the overall equity market (0.4%), momentum stocks (-1.3%) and small capitalization stocks (3.1%) and high annual returns for value stocks (15.2%).
  • An out-of-sample backtest indicates that switching styles according to market regime can be profitable. Specifically, momentum investing during the low-volatility regime and value investing during the high-volatility regime outperforms consistently and to a degree that appears profitable after accounting for transaction costs.

This paper agrees broadly with my findings that capital markets are much more volatile and returns lower when trending down (as measured by a long term simple moving average).  The exception is commodities that can be very volatile to the upside due to supply constraints.

 

 

Asset Class Market > 10 month SMA Market < 10 month SMA Difference
US Stocks      
% of time 72.92% 27.08%  
Annualized Return 13.49% 3.04% -77.45%
Annualized Volatility 13.89% 19.23% 38.40%
       
Foreign Stocks      
% of time 69.91% 27.08%  
Annualized Return 14.57% 1.94% -86.71%
Annualized Volatility 14.86% 21.51% 44.76%
       
Bonds      
% of time 76.16% 27.08%  
Annualized Return 10.03% 6.29% -37.27%
Annualized Volatility 8.69% 10.15% 16.73%
       
Commodities      
% of time 66.90% 27.08%  
Annualized Return 16.21% 1.09% -93.31%
Annualized Volatility 20.78% 19.64% -5.50%
       
Real Estate      
% of time 72.45% 27.08%  
Annualized Return 14.84% -1.43% -109.64%
Annualized Volatility 13.51% 23.76% 75.90%
       
AVERAGE      
% of time 71.67% 27.08%  
Annualized Return 13.83% 2.19% -84.20%
Annualized Volatility 14.35% 18.86% 31.43%
       
US Stocks 1901-2008      
% of time 69.88% 30.12%  
Annualized Return 14.42% 3.03% -78.98%
Annualized Volatility 14.30% 24.18% 69.06%

 

 

Abstract:

 

We analyse time-varying risk premia and the implications for portfolio choice. Using Markov Chain Monte Carlo (MCMC) methods, we estimate a multivariate regime-switching model for the Carhart (1997) four-factor model. We find two clearly separable regimes with different mean returns, volatilities and correlations. In the High-Variance Regime, only value stocks deliver a good performance, whereas in the Low-Variance Regime, the market portfolio and momentum stocks promise high returns. Regime-switching induces investors to change their portfolio style over time depending on the investment horizon, the risk aversion, and the prevailing regime. Value investing seems to be a rational strategy in the High-Variance Regime, momentum investing in the Low-Variance Regime. An empirical out-of-sample backtest indicates that this switching strategy can be profitable, but the overall forecasting ability for the regime-switching model seems to be weak compared to the iid model.

World Beta is Moving!!

Wednesday, January 28th, 2009

After growing increasinly frustrated with Blogger, I have decided to move my blog over to the WordPress Platform.  Since someone is squatting on worldbeta.com (and I refuse to pay more than $500 for the domain), the new blog location is www.mebanefaber.com.

Update your bookmarks and RSS feeds!

Also, let me know what you think of the new design and if there are any features you would like to implement.  I will leave both sites up for about a week before taking this one down. 

Quantitative Strategies for Achieving Alpha

Monday, January 26th, 2009

This is a great intro book to factor based stock screening – Quantitative Strategies for Achieving Alpha by Richard Tortoriello.

I would place Greenblatt’s books, Haugen’s The Inefficient Stock Market, and Chinicari’s Quant Equity Portfolio Management in the same league (in order from simple to complex.)

In the more than 40 single factors he tested from 1987-2006, guess which factor was most predictive?

Momentum.

Following close behind were measures based on free cash flow and enterprise value to EBITDA.

The problem we have now with quant equity analysis is that everyone has the same data. The data and databases used to be a source of value added, but I am not so sure they are going to be going forward. Expensive packages like ClarFi ModelStation and FactSet – and even inexpensive options like Portfolio123 – allow the user to rank factors and build multi-factor models. But all this does is lead to herding and liquidity problems like the Summer of ’07. Even the field of forensic accounting has gotten more crowded. Schilit wrote one of the best (and first?) books on forensic accounting, and his CFRA (now absorbed into RiskMetrics) has spawned a number of competitors (Audit Integrity, Assay Research).

I’m interested to hear your thoughts here. How can equity quants add value vs their competitors? Are there more creative ways of looking at the data that could be value added?

I have been able to find some interesting results on dynamic models and hedging, but I still haven’t seen any studies that break the factor tests into bull and bear markets. Intuitively, it would make sense that investors would prefer higher-quality earnings and balance sheets during bear markets, and earnings growth during bull markets, etc etc. I think a test for factors based on above/below a long term moving average would be a great study to perform.

Any links or references?

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I was also reading The Origins of Wealth this weekend, and had a hard time getting through it. Although it did contain a quote from probably my favorite play of all time, Stoppard’s Arcadia:

"It makes me so happy. To be at the beginning again, knowing almost nothing…a door like this has cracked open five or six times since we got up on our hind legs. Its the best possible time to be alive…"

Being Right or Making Money

Monday, January 26th, 2009

This is one of the major problems I have with investing commentary (more here). There are so many blogs, reporters, and portfolio managers that I put in the camp of “ranters”. They rant about this and that (Gold to $2000! Oil to $10! Oil to $300! Inflation! Deflation! The Fed!), but the bottom line is “do they help you make money”? Does watching CNBC help you make money? Does watching Mad Money help you make money? Does any of the news you ingest help you manage your assets in a more productive way?

(The title of this post comes from one of the best books of all time on investing that is unfortunately out of print. The cheapest version is around $350 on half.com. Bad, but not “Margin of Safety” bad.)

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I take exception to the above for Marc Faber.

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Timber held up in ’08.

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Great new Grantham article at GMO.

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I would say this exit letter ranks up there with some of the best exit letters of all time (including this hedge fund closing last year). It’s always nice to retire on your own terms.

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Time killer of the day.

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Top 10 FT MBA Rankings:

1. University of Pennsylvania
2. London Business School
3. Harvard Business School
4. Columbia Business School
5. Insead
6. Standford University
6. IE Business School
8. Ceibs
9. MIT
10. NYU

On the Nature and Origins of Trendfollowing & Social Investing Sites

Monday, January 19th, 2009

Covel has a nice article posted on his site by one of the original Turtles – “On the Nature and Origins of Trendfollowing“. There is a ton of literature mentioned (lots published in the 1800s and early 1900s).

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This might as well be magic as far as I’m concerned.

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When Diversification Failed

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Find this blogger a new gig and get $1000 cash.

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Actively Managed ETFs are here.

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Buy stocks coming out of bankruptcy.

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Time to get long coffee!

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Brilliant idea.

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Demographics of new buyers entering the housing market.

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Let’s welcome some kinda famous professors to the blogosphere. . .

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Is this bear going to be like the 29-32, 73-74, or 00-02 bear markets (or none)?

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The CPI narrowly missed having the first year over year decline since 1955 at 0.1%. And gold is up – what do you think gold is going to do if/when inflation returns? Nice chart here.

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1.75% fees for 2-5% returns over Tbills (or, 2-5% returns total since they yield basically zero)??

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Well, that was sure a terrible way to start the year!

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Inc’s Guide to the leading Angel Investing Networks

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I consider most of the social investing sites exercises in survivor bias (Covestor, Marketocracy, ka-Ching). If you throw together a million teenagers writing up stock ideas in their pajamas some are bound to have great performance. Check out the Marketocracy MOFQX mutual fund for a not so pretty real world example.

However, I have no doubt there are good non-professional stock pickers out there.

If I ran one of these sites, I would offer something akin to the ValueInvestingClub. VIC is an application only group that does stock write-ups and offers $5,000 per week to the best idea (founded by the Greenblatt and the guys at Gotham Partners hedge fund -SumZero is also a nice invite only site for buysiders). Well thought out, intelligent stock write ups are much more interesting to me than trading portfolios (whether real or imaginary).

Why not have a similar idea, but open it up to everyone? ie compensate the users by either a) a percentage of all revenues from ads on any pages from their write-ups and/or b) payout $X to the best idea monthly/weekly etc. Just a thought.

Cool new paper examining the ValueInvestorsClub stock pickers from the guys at Empirical Finance Blog:

Fundamental Value Investors: Characteristics and Performance

Abstract:
We examine novel data on the detailed investment decisions of professional value investors. We find evidence that value investors are not easily defined: they exploit traditional tangible asset valuation discrepancies such as buying high book-to-market stocks, but spend more time analyzing intrinsic value, growth measures, and special situation investments. We also test whether fundamental value investors outperform the market in our sample (January 2000 to June 2008). Analyzing buy-and-hold abnormal returns and calendar-time portfolio regressions, we conclude that value investors have stock picking skills.

Hedge Funds (Indexes) and FOFs – Who Needs Them?

Friday, January 16th, 2009

Will 2008 be remembered as the year that dealt a death blow to hedge fund of funds (FOFs) and hedge fund indexes? I love hedge funds, but I am not a big fan of hedge fund indexes or FOFs. (I like the foreign listed hedge funds a bit more than the privates, but that is a different post). They basically give you exposure to all the parts of a hedge fund you don’t want – especially the beta exposure.

To get to the same return as a basic buy and hold, the underlying hedge funds need to deliver A LOT of alpha, use A LOT of leverage, or both.

Buy and Hold Portfolio = 10 % per annum
Gross returns of FOF = (10 % + 1 % ) / (100 – 10 % ) = 12.22 %
Gross returns of hedge fund = (12.22 % + 2 % ) / (100 % – 20 % ) = 17.75 %


Here is a nice interview with Swensen where he offers this tidbit:

WSJ: What about fund of funds and consultants? Can they be a solution?

Mr. Swensen: Fund of funds are a cancer on the institutional-investor world. They facilitate the flow of ignorant capital. If an investor can’t make an intelligent decision about picking managers, how can he make an intelligent decision about picking a fund-of-funds manager who will be selecting hedge funds? There’s also more fees on top of existing fees. And the best managers don’t want fund-of-fund money because it is unreliable. You need to be in the top 10% of hedge funds to succeed. In a fund of funds, you will likely be excluded from the best managers. [Mr.] Madoff also relied enormously on these intermediaries. He wouldn’t have had nearly as much resources were it not for fund of funds.

[Swensen recently had a new edition of his book Pioneering Portfolio Management hit the shelves. While I consider the original one of the best books out there on portfolio management, the new edition doesn't offer much new for investors who read the first edition.]

I wrote an article a couple years ago in the UK magazine The Technical Analyst making the case that the hedge fund indexes are not a good option for the diversified investor.

One of the problems with defining hedge fund performance is that there is no index like there is for other asset classes. Because a hedge fund is a private partnership, there is no requirement to report or disclose performance numbers. There are numerous firms that compile their versions of hedge fund indexes, each with different rules. They have different numbers of underlying funds (60 – 5,000), some collect the data themselves while some do not, some include managed futures and some do not. No one really knows how many funds are in existence.

A database is simply a collection of hedge funds and their returns, and very likely will be replete with survivorship and backfilling biases. In a recent study, PerTrac estimates the number of funds from 11 databases at 22,000 (although after ’08 that has to be a lot less). The estimating is complicated by the fact that a single manager can manage several hedge funds. Very few funds report to more than two or three databases, and only one reported to all of them. Over half of the funds only reported to one database.

Some of the biases included in the databases are:

Selection—Manager can choose if and to what database he reports
performance.

Survivor—Hedge fund managers no longer in existence may be excluded from the database. This can include funds that blew up as well as funds that stopped reporting due to good performance.

Backfill—Database provider backfills performance history of hedge fund introduced into index.

Liquidation—Funds that go out of business stop reporting performance in advance of shutting their doors. They are still in the database but their last few months of bad performance are omitted.

Most studies have found that these biases add up to more than 4% in overstated returns. Add that to the fact that most databases only have data for 10 – 15 years, and you can see how these databases have lots of problems (Fung and Hsieh of the London Business School (2006), Malkiel and Saha (2005), Ibbotson and Chen (2005), and Van and Song (2004)).

In contrast to hedge fund databases, hedge fund indices calculate index returns on a going – forward basis, and any additions and deletions are reported in real time. Investable indices, if constructed properly, should be free from these aforementioned biases. When hedge funds are combined into a portfolio, many of the unique and desirable hedge fund features diversify away. Indices no longer resemble hedge funds, but are mainly composed of stock and bond risk.

Hedge Fund Research, Inc. (HFRI) publishes indices that track the hedge fund universe back to 1990, and we will examine the relative performance here because it represents one of the longest histories for a hedge fund index. The HFRI Weighted Composite Index (HFRIFWI) is an equal – weighted index of more than 1,600 hedge funds, excluding fund of funds, and results in a very general picture of performance across the hedge fund industry. The HFRI Fund of Fund Composite Index (HFRIFOF) is a similar index with approximately 750 fund of funds included.

A couple of characteristics of the index methodology must be noted. Because the indices are equal – weighted and there is no required asset – size minimum for fund inclusion, the results will be biased to smaller fund returns. There will be some survivorship bias in the results due to poorly performing managers electing not to report their returns once the results turn negative.

It is difficult to determine the effects of this bias, but a comparison of the HFRX indices (the investable version, available only since 2003) and the HFRI (a financially engineered time series) indices could give a clear view of any tracking error. An analysis we conducted found the effect to be over 4% for each substrategy — a very material difference.

A further examination by Greenwich Alternative Investments found similar results in most of the investable indices. (2007 press release, Johnson) The investable indices will not have the best hedge funds in them because these top performers are sufficiently capitalized and have closed the doors to new investors. One of the problems with the investable indices is that they are constructed with liquidity and investability in mind rather than representativeness of the industry.

Remember, these results must be taken with a grain of salt. With the understanding that the hedge fund indices returns will likely be overstated versus the investable versions, here is the year – by – year results of the HFRI and FOF indices below. (There will also be a slight diversification benefit from the index. It is like a FOF without the fees.)

The results of the HFRIFOF and the HFRIFWI are OK as standalone products. However, adding the HFRIFOF index to a buy and hold allocation does little to improve risk – adjusted returns. The reason is that the risk factors are very similar to a balanced portfolio.

The HFRIFWI does a slightly better job, but once you factor in the underperformance of the investable version it maintains little appeal. Worst of all, the indexes did very little to dampen losses when you needed it most during the market declines of 2008. (Contrast that with the banner years many CTA/trendfollowing funds had.)

The CSFB Index has a very similar Sharpe ratio since 1994 at about 0.6. This also goes to show how difficult shorting is with average annual returns that are negative over the time period.

Overall, I think that these indices are fairly good proxies for the hedge fund universe, but the investable indices are not good investment choices by themselves.

B&H is a diversified asset allocation equal weighted across US Stocks, Foreign Stocks, Bonds, REITs, and Commodities.


Hedge Fund Best Ideas and Consensus Follow-Up

Thursday, January 15th, 2009

In late 2006 I proposed tracking a portfolio of 10 hedge fund managers I considered to be great stockpickers. It sounded good to me in theory, but I always like to let the data speak for itself. I went and backtested two strategies based on their 13F filings:

Top Holdings – This selected the top 2 holdings from each manager to form a portfolio of 20 holdings.
Consensus – This selected the most popular ten holdings among the managers.

The ten managers were:

Baupost Group
Blue Ridge Capital
Warren Buffett
Eminence Capital
Greenlight Capital
Lone Pine Capital
Maverick Capital
Okumus Capital
Private Capital
Tiger Global

This process literally took me and a co-worker a month to complete by hand. I found that these two naive strategies of piggybacking on top managers outperformed the market by roughly 6-12% a year (depending on the index you compared them to). Now that we have AlphaClone online, I thought it would be instructive to take a look at the performance, including out of sample returns in 2007 and 2008.

The tables below show results consistent with the backtests – namely outperformance of 9% to 13% per year. I find that amazing given that at least one of these managers has shut down. Any suggestions on who to replace Okumus with? Appaloosa?

However, they are not absolute return portfolios, but rather relative strategies looking to outperform the market. This can be seen in the high volatility (these are annual vol numbers, monthly annualized would be a little lower), high drawdowns, and high correlation to the market. An investor looking to have a more balanced portfolio could hedge out some or all of the market risk. In the below example we use a simple 50% index hedge that excludes any short rebates. Returns are higher due to the terrible S&P returns this decade, risk adjusted returns are higher, and drawdown and correlation decrease.


What would the portfolios look like today?

Top 2 holdings:

Wells Fargo (WFC)
Coca Cola (KO)
America Movil (AMX)
Qualcomm (QCOM)
American Tower (AMT)
CSX Corp (CSX)
CA (CA)
Hewlett Packard (HPQ)
Apple (AAPL)
First Solar (FSLR)
Oracle (ORCL)
Helix Energy (HLX)
Berkshire Hathaway (BRK.A)
Grupo Televisa (TV)
News Corp (NWSA)
Microsoft (MSFT)
Target (TGT)
PDL Biopharma (PDLI)
McGraw Hill (MHP)
Cadence Design (CDNS)

Most Popular Holdings:

Visa (V)
America Movil (AMX)
Qualcomm (QCOM)
Priceline (PCLN)
American Express (AXP)
Echostar (SATS)
Hansen (HANS)
SAIC (SAI)
Teradata (TDC)
International Gaming (IGT)

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