Markets often appear to overreact, not just at the index level but at the individual company. In this Ethos we take a quantitative look at big price moves and find the scenarios the market is likely to overreact to news or earnings.
U.S. employment drops, good data, rising yields, this is starting to look like a textbook cycle. In this Ethos we share our Market Cycle indicators which continue to indicate we are in the late cycle but still some room to run.
Our focus on cyclical yield over interest rate sensitives has really helped our dividend strategies during this recent bout of rising yields. In this Ethos we share on views on the thematic and scenarios when we will begin shifting.
Machine learning and data science is gradually becoming a component of many investment managers processes. In this excerpt from two larger reports, we provide a brief introduction to the concept and how we used machine learning to better optimize an investment strategy.
From a behavioural perspective, how we account for things, even money, changes our decision making process. In this Ethos we share how mental accounting lead us to discover and develop an investment strategy targeting company spin-offs.
We often think of risk simply in terms of the equity markets, yet there are many kinds of investment risk. In this edition, we share other kinds of risk that may not be as popular but are becoming more important for investors. And new methods for calculating or quantifying certain risks.
Earnings season is past the halfway point and while results have been great, market reaction has been muted. In this week’s report we share our views as to why and take a look at a troubling late cycle trend in margins.