Betting Against the House

Posted on: June 18, 2014 by Martin Curiel, CFA in Investments

Many people enjoy playing Blackjack, Craps, Slots, Roulette, and other games at a casino. It’s exciting – and sometimes addicting – to try one’s luck at a large payout, even if such a payout comes after many losses. A gambler can implement numerous tactics (e.g., don’t hit when you’ve got 17 in Blackjack) to improve his chances of winning. However, even the most talented player will not be able to completely eliminate the inherent long-term disadvantage that she has relative to the casino, or “the house.”

In the world of investing, the “house” is analogous to the collection of all investable strategies within a category. For example, in the world of publicly traded stocks, the “house” is the collection of all publicly traded companies around the globe.

At a basic level, an investor has two choices:

1) Bet with the house

2) Bet against the house

In our experience most investors bet against the house in one or multiple ways. This is one reason the investment management industry is so profitable – numerous well-paid service providers exist to help investors execute the bet against the house.

In this article, I’d like to discuss a framework for thinking about this potentially money-losing bet. Like playing Roulette, betting against the market can be exciting and intellectually stimulating. I fully admit that I am one of those investors that sometimes tries his luck against the house despite the fact that most of the time I lose. What is important, however, is to understand what type of bet is being made and to be ruthlessly objective about judging its final outcome.


Defining the “House”

The stock market is the most democratic forum in the world. Essentially every second of every working day, investors participate in an “election”; they vote to discern which companies are the most and least valuable across the globe. However, rather than casting ballots at a voting booth, investors vote with their wallets. An index that is based on a stock’s market capitalization (# of shares * price of share) will display the results of this vote instantaneously and continuously. For example, according to a commonly cited world stock index, FTSE Global All Cap Index, the “voters” elect the U.S. to have about 50% of the money available for publicly traded stocks. Right or wrong, this figure represents the combined wishes of all participating investors within this investment class.

The chart below displays the “wishes” of all publicly traded stocks according to the FTSE Global All Cap Index (using Vanguard Total World Stock ETF as a proxy):

Source: Vanguard.com; data as of 4/30/2014.

If an investor’s portfolio is made up of 100% U.S. Stocks, for example, then she is implicitly saying that all the investors (on average) participating in this market are “wrong”, and she is right by making a +51% “bet” against the world.

There are many good arguments why indices such as the FTSE Global All Cap Index are flawed. However, a market-cap-based index is the best reflection of the aggregate wishes of all participants in the public markets, so I believe that, at the very least, it is a good standard to judge against.

Similar charts can be drawn for virtually every category of investments available, including U.S.-listed stocks, financial sector securities, and value stocks. One can slice and dice any collection of stocks and display what the aggregate wishes of investors are with respect to that category.

How do investors bet against the house?

There are numerous reasons why an investor’s portfolio almost never fully reflects the aggregate wishes of investors in any category. In essence, almost every investor is betting against the market in one or multiple ways. It’s almost unrealistic and impractical to bet with the market in every possible way. What is practical, realistic, and good practice is to understand the bets being made and to answer the simple question: “Did my bets pay off?”

Three major ways investors can deviate from the market are as follows:

  • Location Bets
  • Factor Bets
  • Skill Bets

The return of any investment portfolio can be expressed by the following equation:

Return to Investor =

“House” Return

+ / – [Location Bet Returns]

+ / – [Factor Bet Returns]

+ / – [Skill Bet Returns]


Put simply, if the bets increased total return relative to the “House Return,” the bets paid off. Too many times, however, the opposite is true; in that case, the bets destroyed wealth for the investor. Let’s go deeper into how each bet can play out.

Location Bets

At the aggregate level, we see many investors bet against the house by overweighting and underweighting certain geographical areas. For example, many target date funds that exist inside 401(k)s for U.S. investors have a large bias – more than 49% – toward the U.S. Another example is that many investors are big believers in the growth potential of Emerging Markets, which constitute about 10% of the world in terms of market cap. We’ve seen investors allocate as much as 25% to Emerging Markets (a bet of +15%) to express this belief. Yet other investors believe the U.S. is in a permanent decline, and so have very little in U.S. stocks. If one’s portfolio looks different from the World Stock portfolio in terms of geographic location, one is expressing a “location bet.”


Judging Location Bets:

One of the most effective ways to judge location bets is to measure an investment portfolio against a broad market ETF or Index fund that tracks the world portfolio. Two common ones that can be used are the Vanguard Total World Stock Index Fund (Symbol: VT) and the All Country World Index Fund (Symbol: ACWI).

Let’s take, for example, a U.S.-based investor that puts 100% of her portfolio in U.S. Stocks – she made a +50% location bet in favor of the U.S. Let’s assume she bought one fund, the Vanguard Total Stock Market Index Fund (Symbol: VTI), which is one of the most inexpensive funds to track the entire U.S. market.

The table below shows the location bet analysis (returns are annualized):

Location
Proxy Product Symbol
1-Year
3-Year
5-Year
US Stock Market
VTI

22.7%

14.7%

22.2%

World – Broad Market
VT

17.0%

8.9%

18.1%

Bet Payoff (U.S. – World Market)
-

+5.7%

+5.8%

+4.1%

Source: Morningstar.com; returns are annualized through 3/31/2014.

Size (e.g. small-cap, mid-cap, large-cap)Over the last 5 years, the U.S. has done very well compared to the world portfolio, so it is clear that the investor’s location bet against international stocks and in favor of U.S. stocks paid off nicely. Over a 1-year period, for example, there was over a 4% outperformance! Will the location bet pay off in the next 5 years? It’s impossible to know, of course, but it is very unlikely that the U.S. will ALWAYS beat international stocks in the future.

The location bet is analogous to betting against the house by favoring select games such as Roulette or Blackjack. Some nights, the overall house will do better than these selected games, and other nights it will underperform.

Factor Bets

A factor can be defined as a security characteristic that drives investment returns. Common factors with stocks include the following:

  • Styles (e.g. value, growth, core)

  • Sectors (e.g., Financials, Consumer Staples, etc.)

For example, an investor can decide that she strongly believes in value stocks, and purchases an ETF that picks all value stocks in the U.S. Let’s assume it is iShares Russell 1,000 Value ETF (Symbol: IWD). In that case, the investor is making a factor bet that U.S. value stocks will outperform all U.S. stocks. Similarly, an investor that purchases a technology sector ETF, say Vanguard Information Technology ETF (Symbol: VGT), is implicitly saying that the technology sector will outperform the average of all other sectors in the U.S.

Judging Factor Bets:

We believe the most appropriate methodology to judge the factor bet is at the location level. In the two examples previously mentioned, for example, the appropriate comparison is a product that invests in the entire U.S. stock market, such as VTI.

The table below displays the factor bet analysis (returns are annualized):

Market
Proxy Product Symbol
1-Year
3-Year
5-Year
US Stock Market
VTI

22.7%

14.7%

22.2%

U.S. Value Stocks
IWD

21.5%

14.6%

21.6%

Bet Payoff (All U.S. Value- All U.S.)
-

-1.27%

-0.07%

-0.57%

Source: Morningstar.com; returns are annualized through 3/31/2014.

Market
Proxy Product Symbol
1-Year
3-Year
5-Year
US Stock Market
VTI
22.7%
14.7%
22.2%
U.S. Value Stocks
VGT
26.9%
13.7%
22.0%
Bet Payoff (All U.S. Value- All U.S.)
-
+1.27%
-0.97%
-0.14%

Source: Morningstar.com; returns are annualized through 3/31/2014.

From the analysis above, it is clear that making a “value” factor bet did not pay off over the last 5 years. The overall U.S. stock market outperformed U.S. value stocks. Betting on the technology factor did pay off over the last 1 year, but did not pay off over the last 3 and 5 years.

The factor bet is analogous to betting against the house using selected casino strategies, such as betting only on black in roulette or only the pass line at the craps table. The risk of loss can be higher than in the location bet.

Skill Bets

The most disaggregated bet is the one that bets that a particular investor or investment team has sufficient skill to beat a particular market Going back to the earlier examples, an investor can decide to pick an actively managed mutual fund that selects the “best value stocks.” For example, one such fund is American Century Value – C (Symbol: ACLCX). Similarly, the investor can decide to only invest in Apple stock as opposed to a technology sector ETF like VGT.

The bet that is being expressed is that an individual can have the knowledge and skill to select the best subset of stocks from a defined universe. In the case of the actively managed mutual fund like ACLCX, the belief is that the fund manager – usually a team of investment professionals – has that capability. In the case of the individual stock position, the belief is that the investor herself has the skill to discern that Apple is indeed the best stock out of a universe of all technology stocks.

Judging Skill Bets

We believe that security selection bets – “skill bets” – should be judged at the factor level. The first step is to identify the most inexpensive and efficient product that is appropriate for the selection bet in question. For example, one could use iShares Russell 1000 Value ETF (Symbol: IWD) to judge ACLCX. Apple could be judged against the performance of Vanguard’s Information Technology ETF (Symbol: VGT).

The table below shows the investor skill analysis (returns are annualized):

Investor Skill within Value Stocks:

Bet
Proxy Product Symbol
1-Year
3-Year
5-Year
American Century Value - C
ACLCX
16.6%
14.7%
15.6%
U.S. Value Stocks
IWD
21.5%
14.6%
21.6%
Bet Payoff (Subset of U.S. Value Stocks – All U.S. Value Stocks)
-
-4.8%
+0.16%
-5.99%

Source: Morningstar.com; returns are annualized through 3/31/2014.

Based on the table above, the investor skill bet paid off over a 3-year period, but lost money over the last 1-year and 5-year periods.

Investor Skill within Technology Stocks:

Bet
Proxy Product Symbol
1-Year
3-Year
5-Year
Apple Stock
AAPL
24.0%
16.9%
39.6%
Technology Sector
VGT
26.9%
13.7%
22.0%
Bet Payoff (Subset of U.S. Value Stocks – All U.S. Value Stocks)
-
-2.9%
+3.2%
+17.54%

Source: Morningstar.com; returns are annualized through 3/31/2014.

Investing in Apple stock did not pay off over the last year, but did over the last 3 and 5 years.

The skill bet is analogous to betting against the house by picking certain players or playing certain tables. It is the riskiest of all bets against the house, since a lot has to go right for the bet to pay off.

Conclusion

On average and over the long term, the house always wins This is true inside the casino and in the global stock market. Despite these odds, most investors (including myself) will take the chance to beat the house through location bets, factor bets, and/or skill bets. There is nothing wrong with betting occasionally, but it is important to objectively measure those bets and to be honest about the wealth they are creating or destroying over time.

In my experience, most individual investors do not realize the bets they are making or the ones their advisors are making on their behalf. They also don’t realize the potential wealth destroyed over time.







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