“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 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, […]
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.
I have been studying the impact of futures on cash markets for decades, so I was very interested in the new short piece of research, “How Futures Trading Changed Bitcoin Prices” FRBSF Economic Letter 2018-12 May 7, 2018 that was published this week.
Simple frameworks are effective with global macro investing. They set the tone for discussion and focus attention on the big issues. Look at the monetary/fiscal policy mix across countries to get a good feel for macro imbalances. These imbalances tell us something about current growth and future policy. Policy gaps are intended to close output gaps.
I came across in some old papers the Toyota Industries solution to finding the root cause of problems, the 5 whys. It is a simple and useful tool. Sakichi Toyoda, the father of Toyota Industries, developed this technique to solve manufacturing problems, but it could easily be applied to any investment problem or due diligence issue. Ask why five times.
There could be a desire to look for special patterns within April performance, but the only clear theme is the risk associated with holding bonds during a rising inflation expectation and tightening Fed environment. These issues spill-over to the dollar which affected affects the performance of international stocks.
Most hedge fund strategies were positive for April, but the average return was less than 50 bps. There were two negative outlier strategies with fundamental growth and merger arbitrage. Generally, the higher monthly volatility and dispersion created a mixed environment for return generation. Year to date returns suggest that it has been a difficult four months for most managers with average loses much larger than the average for the winners and only 7/19 strategies producing positive returns.