Our mission is to empower investors through education. This mission is our passion and what drives us to go to work everyday. But this mission is not our product. Our product is Affordable Alpha: We seek to delivers alpha (highly differentiated risk/reward profiles) at low costs, thereby giving sophisticated (taxable) investors a higher chance of winning net of fees and taxes.
The mention of technical analysis in the halls of academia can cause serious angst. The disdain for technical analysis likely stems from a firm belief that [...]
Momentum has historically been a great strategy. Although counter-intuitive to many value investors, buying stocks with rising prices has been a great investment approach--arguably better than value investing. Moreover, the approach is robust between the 2 samples analyzed. The lesson is clear: Let your winners ride and cut your losers short.
Investors are enamored with various investment houses and personalities who claim insight into the prospects for long-term expected market returns. Some classic examples include Nouriel Roubini, John Hussman, David Rosenberg, or Jeremy Grantham. All really smart people. But have you ever asked "How" these folks came to their conclusions? In most cases, the answer is probably "No" and the reason is because there is a lack of transparency from the author(s) and/or a lack of knowledge/understanding on behalf of the reader. We also want to highlight that one can develop incredibly complex return forecasting models -- super sexy, super interesting, super compelling, etc. -- but that still doesn't mean they are any good at forecasting much of anything.
We did a recent internal simulation study on the performance of cheap and expensive stocks based on a variety of valuation metrics. We looked at [...]
Everyone makes mistakes. It’s part of what makes us human. Because humans understand their actions are sometimes flawed, it was perhaps inevitable that the field of psychology would develop a rich body of academic literature to analyze why it is that human beings often make poor decisions. Although insights from academia can be highly theoretical, our everyday life experiences corroborate many of these findings at a basic level: “I know I shouldn’t eat the McDonalds BigMac, but it tastes so good.” Because we recognize our frequent irrational urges, we often seek the judgment of experts, to avoid becoming our own worst enemy. We assume that experts, with years of experience in their particular fields, are better equipped and incentivized to make unbiased decisions. But is this assumption valid? A surprisingly robust, but neglected branch of academic literature, has studied, for more than 60 years, the assumption that experts make unbias decisions. The evidence tells a decidedly one-sided story: systematic decision-making, through the use of simple quantitative models with limited inputs, outperforms discretionary decisions made by experts. This essay summarizes research related to the “models versus experts” debate and highlights its application in the context of investment decision-making. Based on the evidence, investors should de-emphasize their reliance on discretionary experts, and should instead approach investment decisions with systematic models. To quote Paul Meehl, an eminent scholar in the field, “There is no controversy in social science that shows such a large body of qualitatively diverse studies coming out so uniformly in the same direction as this one [models outperform experts].”
The ETF structure is often regarded as being "tax-efficient." However, many investors -- even sophisticated professionals -- often blow off the benefits of the ETF [...]
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