Behind the backdrop of the vast changes in monetary policy over the post Financial Crisis period has been the movement to improve the regulatory environment for financial markets in order to reduce systemic risk. Significant work has been done to improve monitoring and rules to eliminate excessive speculative behavior, but as more regulations are proposed and more changes to the financial system are made, there is demising marginal benefit and a greater likelihood for unintended consequences. A rule that makes sense for one group may lead to a shift in risk capital and changes in behavior toward unregulated areas. Simply put, risky behavior will shift to the places where the cost of speculative behavior is least.
While large cap and international stocks continued to move higher, the markets are starting to see more dispersion with small cap, growth, and value indices all posting negative returns for the month. The Russell value index has fallen to negative returns for the year. A growing dispersion is also evident in sector and country returns. Bonds have been a safe asset with positive gains for the year across all sectors. The returns are consistent with slow but positive growth around the world with controlled inflation.
May was a mixed month for many trend-followers. Some did well while others got caught on the wrong side of mid-month reversals. The month saw a mid-month equity sell-off which could have stopped-out a number of key positions in equities and bonds. This sell-off was based on political uncertainty and not macro fundamentals.
Call it the “Global Rotation”, but last month was a continuation of what we have seen for the year. There has been a flow of money into international stocks and increasing divergence between the rest of the globe and US risky assets. There is a dollar adjustment component to these returns, but there is no mistake that there is a preference for cheaper opportunities around the world.
The process of scientific discovery, even within finance, is essential. One approach to finding new strategies could be to generate observations and then provide explanations, such as an inductive approach. The other is to first form a theory and then test a hypothesis, deductive reasoning. Much of machine and statistical learning is inductive reasoning, where […]
Investors are so used to looking at standard deviation to define risk that they forget some easy exploratory data analysis tools that can be very helpful. The boxplot focuses on a greater description of the data through a simple display of a brand array of information. The box is formed by the first and third quartiles, the whiskers are 1.5 times the interquartile range, the green diamond is the average, and the black boxes are the outliers.
The Funded Status Volatility index (PSRX) from NISA is a useful tool for understanding pension risk exposures. It is an aggregate of the risks for pension based on the combination of assets and liabilities associated average allocations for the 100 largest pension funds as measured through public information and 10-k filings. The index, which represents $1 trillion in AUM, will move up and down with the volatility of all asset classes. Hence, falling equity and bond volatility as well as changes in the discount rates will translate into a falling PSRX index.
Managed futures research is hard. This is especially the case in the quantitative area. There always are new models being tested by almost all managers, but finding a truly new model or process that adds value is truly difficult. Data mining is an issue.
The Tax Foundation map of state funding ratios for public pensions is very sobering. The amount of state under-funding is significant. These numbers are determined by the discounted expected liabilities relative to the assets held. To stay even with these ratios and assuming there is no surprise increase in liabilities, the states have to return the discount rate. These discount rates or expected returns seem unrealistically high.
Going into the month, there are good up trends in place with global equities and down trends in oil, precious metals, and selected commodities. What is interesting is the inconsistency across some markets sectors. The reflation risk-on trade is still apparent in the global equity indices, but we are not seeing strong evidence of bond sell-off or rally. Oil prices suggest both supply strength and demand weakness. Gold and precious metals are out of favor with long-only investors. The idea that we will have a dollar rally on Fed hikes seems misplaced and there is less risk-on demand for the US relative to the rest of the world.
No hedge fund strategy will make money all of the time. As the market and economic environment changes, the performance of different strategies will also change. Hedge fund factor exposures will be different based on the strategy employed by the manager. If you cannot predict the environment factor exposures, there is value with holding a diversified portfolio of hedge funds. April performance clearly shows the difference in strategy behavior.
The positive equity performance for April and the strong year-to-date returns show that the risk-on environment continues. What is noticeable is the switch to global and emerging market gains although this has been helped by the declining dollar which may have added about one percent to performance. Performance has rotated from the reflation trade in the US to a broader investment in global equities.
I was reviewing an interesting research piece from Covenant Capital on kurtosis across different assets traded in the futures markets. They offer a spreadsheet tool that can allow anyone to find the number of fat-tailed occurrences relative to a normal distribution. The data show that there are fat-tails everywhere across all asset classes. We do […]