“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.
The Office of Financial Research (OFR) Financial Stress Index is not showing any signs of a problem in financial markets albeit conditions worsened in February. It is notable that all sectors, credit, equity, funding, safe assets and volatility are closer to post Financial Crisis lows than the spikes in 2011 and 2016. Of course, the construction of the OFR stress index only includes financial spreads or price information and no fundamental information. Prices may lead economic financial stress and can be a cause of stress but it does not tell us about the drivers of financial pricing.
I have been one of those “if you cannot measure it, you cannot manage it” types. Most quants are like this, but there are limits to measurement or trying to fit qualitative characteristics into a measure. Difficulty does not mean that attempts should not be tried. Most will admit that measurement is very useful in some areas of study but have to be more tempered in others. Jerry Muller, in his book The Tyranny of Metrics, explains the potential problems of a culture that focuses too deeply on measurement. This is a good counter to the always measured to manage crowd.
A focus of global macro investing is looking for general factors which can have an impact across markets and countries but are displayed slowly in cross-asset relationships. Macro traders watch closely global and local financial conditions such as monetary liquidity as good indicators for potential switches between risk-on and risk-off environment. They also look for changes in credit conditions as a signal of potential shocks across local financial markets.