I am totally convinced that low fee indexing is the best way to allocate one’s savings (in fact, my entire company is based around this view). But when it comes to allocating that savings in a specific manner there are virtually limitless options. We know that reducing your frictions is the only way to guarantee higher returns so it’s imperative that we be tax and fee efficient in our portfolios. But that doesn’t solve the allocation decision, which will ultimately steer our returns.
It’s increasingly common for indexers to advocate a market cap weighted methodology. This is the typical “passive” indexing approach. In essence, you buy what the market generates and you never accuse the market of being wrong. So, if you wanted to be a true passive indexer today you’d buy the market cap weighting of global stocks and bonds at roughly 45/55 stocks/bonds and rebalance back to that weighting every year. You don’t deviate from this because the market is always “right” and you just want to take the market return. Easy enough.*
But my economic and financial research shows something strange. This “efficient market” view of the system isn’t always right. In fact, investors and economic agents appear to make substantial errors at times. For instance, I calculated the average retail investor’s relative total net asset allocation over the last 30 years and found that retail investors, by being procyclical, are almost always positioned in the exact wrong way during the business cycle:
You can see what happens here. Investors chase stocks in bull markets and they sell them into bear markets. And by doing so they end up being underweight stocks early in the market cycle and overweight stocks late in the market cycle when they’re riskiest. This is in addition to the fact that we know that most individual investors perform poorly due to very high cash balances.
The most interesting part about this is that doing the opposite of this allocation (inverting the stock/bond allocation) actually generated similar nominal returns as the market cap weighting (8.2% per year vs 8.9% per year), but improved the risk adjusted returns by a significant margin (standard deviation of 6.4 vs 13.8). In other words, betting against the procyclical market cap weighting actually generated a better overall return.
Most importantly, what this does is better align an indexer’s profile with their exposure to various asset classes over the course of the market cycle because you’re essentially reducing risk to permanent loss as stocks become riskier and you’re increasing your exposure to stocks as they become less risky (when they decline in relative value). And the beauty is, you can do this in a highly tax and fee efficient manner if you have the patience to actually let the approach play out over time.
Of course, you can tweak this sort of an approach in numerous ways. That’s the essence of my approach at Orcam. But the findings are interesting – countercyclical indexing might actually be a superior approach to market cap weighted procyclical indexing. In other words, discretionary deviations from market cap weighting might not be as silly as some indexers portray.
* It should be noted that even a static allocation that rebalances is always rebalancing back to imbalanced degrees of risk during the market cycle. That is, a 60/40 is actually a much riskier portfolio late in the market cycle than it is early in the market cycle. This leaves the investor who buys the 60/40 in 2009 owning a much less risky portfolio than the investor who buys a 60/40 in 2007.
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