Managed futures performance for May was driven by one sector, global bonds. The surprise events in Italian politics led to a flight to quality move into safe bonds around the world. This sharp reversal caught most short trend-follower flat-footed. The commitment of traders reports have shown a strong short tilt in managed money. The size of the move over less than 10 trading-days ensured stops would be hit and positions changed. The question was just how much pain managers took in this sector. Notably, the markets sold-off on the good economic employments numbers to further hurt managers who switched to longs earlier in the week. A similar set of events followed the rates markets. Expectations for fewer Fed hikes given the political turmoil only reversed again after the US employment number.
May saw a set of return reversals with bonds posting gains on flight to quality while international markets saw strong return declines. Selected country equity declines were very strong based on increased political risks. It was a good month for those cautious and focused on US smaller cap names.
One way to measure market uncertainty is to run a simple thought experiment. A well-behaved market should match performance with events in a well-defined manner. An uncertain complex market environment would behave in an ill-defined manner. Close your eyes and assume you have knowledge of the news highlights for the month of May. For example:
Political turmoil in Italy and the EU
Off-again/on-again North Korea talks
Good economic data albeit with lower momentum
EM problems in Turkey and Argentina
Trade war discussions
“The hardest thing to explain is the glaringly evident which everybody has decided not to see.” Ayn Rand
“We have too much emphasis on bias and not enough emphasis on random noise”
– Dan Kahneman Speaking at the Kahneman-Treisman Center for Behavioral Science and Public Policy
The benefits from using algorithms are well documented, yet they are still not used for many decision-making situations. The reasons for this lack of use are varied. It could be self-interest. It could be algorithms anxiety. It could be a lack of confidence in the modeling process. If there is a high level of uncertainty concerning the most effective model, there may be fear of being wrong.
“An algorithm could really do better than humans, because it filters out noise. If you present an algorithm the same problem twice, you’ll get the same output. That’s just not true of people.”
“But humans are not very good at integrating information in a reliable and robust way. And that’s what algorithms are designed to do.”
An investor may want to increase his commodity beta exposure to meet his strategic allocation target for this asset class. Unfortunately, all betas are not created equal in the commodity space. There is a wide difference in the choices that are available and this chasm is much greater than anything found in other asset classes.
The reason for asset allocation scenario analysis is simple. There is a whole crowd of investors who do use or are uncomfortable with formal decision-making employing optimization. Quantitative asset allocation models like Black-Litterman, while elegant in theory, have not caught-on with many who are on the frontline of asset allocation work. Running scenario analysis provides a useful thought experiments tool to help refine asset allocation choices.
The average correlation across stocks (intra asset class) has important implication for portfolio construction and for active management. The chart below from Wisdom Tree shows average stock correlation since the Financial Crisis. It has been subject to sharp increases followed by declines. Our general view, consistent with this data, is that if there is a single factor macro event, there will be a corresponding increase across all stocks.
Emerging market stocks and bonds are facing difficult times in 2018. Emerging markets may have looked like potential outperformers at the beginning of the year, but they have now fallen below respective US stock and Treasury indices. This sell-off has been further enhanced by the negative economic events in Argentina. Higher volatility, rising interest rates, […]
“Not everything that can be counted counts, and not everything that counts can be counted.”
Global diversified, multi-strategy, multi-asset class, portfolio of alt risk premiums, portfolios of traders – it does not matter what is the combination – Get more diversification and you will be a winner. When someone says “diversification is the only free lunch in finance”, the phrase may not truly resonate as well as a picture, and the picture above says it all. I can honestly say that for all of the educating in investments, this picture is not used enough.