by David Merkel, Aleph Blog
Iām not an advocate for smart beta. Ā There are several reasons for that:
- I donāt pay attention to beta in the stocks that I buy; it is not stable.
- The ability to choose the right brand of enhanced indexing in the short-run is difficult to easily achieve.
- Iām a value investor, a bottom-up stock picker that doesnāt care much about what the index does in the short-run. Ā I aim for safety, and cheapness.
But today I read an interesting piece calledĀ Slugging It Out in the Equity Arena. Ā It talks about an issue I have been writing about for a long time ā the difference between what a buy-and-hold investor receives and what the average investor receives. Ā The average investor chases performance, and loses 2%+ per year in total returns as a result. Ā As the market relative to the index is a zero-sum game, who wins then?
The authors argue smart beta wins. They say:
To us, the smart beta moniker refers to rules-based investment strategies that use non-price-related weighting methods to construct and maintain a portfolio of stocks.1Ā The research literature shows that smart beta strategies earn long-term returns around 2% higher than market capitalization-weighted indices. Moreover, smart beta strategies do not require any insight into the weighting mechanism. One can build a smart beta strategy with any stock ranking methodology that is not related to prices, from a strategy as naĆÆve and transaction-intensive as equal weighting to a more efficient approach such as weighting on the basis of fundamental economic scale. For example, a low volatility portfolio and its inverse, a high volatility portfolio, both outperform the market by roughly 2%āas long as they are systematically rebalanced.2Ā Ā It is not the weighting method but the rebalancing operation that creates most of smart betaās excess return. Acting in a countercyclical or contrarian fashion, smart beta strategies buy stocks that have fallen in price and sell stocks that have risen.
When I read that, I said to myself, āThat is a more intense version of my portfolio rule seven:
Rebalance the portfolio whenever a stock gets more than 20% away from its target weight. Run a largely equal-weighted portfolio because it is genuinely difficult to tell what idea is the best. Keep about 30-40 names for diversification purposes.
I learned this rule from three good managers ā one growth, one core, one value. Ā They were all fairly rigorous in their quantitative analyses, but they all agreed, a 20% filter on target weight added ~2%/year to performance on average. Ā But unlike the current āsmart betaā discussion, I have been using this idea for the last 15-20 years.
The mostly equal-weighting also induces a smallcap and value tilt, which is an additional aid to performance. Ā Since I concentrate by industry, the 30-40 stocksĀ requirement does not lead to over-diversification, as a great deal of my returns comes from choosing the right industries.
In one sense, portfolio rule seven is an acknowledgement of mental limitations, and is an exercise in humility. Ā So things have been great? Ā They will eventually not be so. Ā As prices go up, so does fundamental risk. Ā Take a little off the table. Ā Raise a bit of cash.
Things have been bad? Ā Look at the fundamentals. Ā How badly have they deteriorated? This can take three paths:
a) FundamentalsĀ have deteriorated badly, or I made an initial error in judgment. Ā I would not own it now, even at the current price there are much better stocks to be owned. Ā Sell the position.
b) Fundamentals are the same, a little better, or havenāt deteriorated much. Ā Rebalance to target weight.
c) Fundamentals are better and people are just running scared from a class of companies ā not only rebalance, but make it a double-weight. Ā I only do this in crises, for high-quality misunderstood companies like RGA and NWLI in the last financial crisis. Ā Some of that is my insurance knowledge, but I have done it with companies in other industries.
For fundamental investors, who think like businessmen, there is value in resisting trends. Ā Having an orderly way to do it is wise. Ā Donāt slavishly follow me, but ask whether this fits your management style. Ā This fits me, and my full set of rules. Ā Modify it as you need, it is not as if there is one optimal answer.
Iāll close with an excerpt from the first article that I cited, which was its summary:
KEY POINTS1.Ā Ā Ā Ā Ā Smart beta strategies are countercyclical, periodically rebalancing out of winning stocks and into losers. They may underperform for extended periods but they ultimately tend to prevail.2.Ā Ā Ā Ā Ā Investorsā procyclical behavior, selling recent losers and buying recent winners, pays for the estimated 2% per year in long-term value added by smart beta strategies.3.Ā Ā Ā Ā Ā Smart beta investing can be reasonably expected to have an edge as long as investors persist in following trends and chasing performance.
Are you willing to take the long-term view, meaning more than 3 years? Ā These ideas will work. Ā Focus on longer-term value, and do your analytical work. Ā And if you outsource your investing, be willing to allocate more to stocks during bad times. Ā To avoid really ugly scenarios, wait until the 200-day moving average has broken to the upside, of look at the 13Fs of value managers.
Do that and prosper. Ā Resisting trends intelligently can make money.
Copyright Ā© Aleph Blog