Guest Posts

Visualizing IRA Rules Using Flowcharts

The rules around IRAs are really complicated and Wes asked if we could share our flow charts on the subject so others could potentially benefit [...]

Swedroe Spotlight: Does Market Sentiment Help Explain Momentum?

David Smith, Na Wang, Ying Wang and Edward Zychowicz contribute to the literature on momentum with their paper, “Sentiment and the Effectiveness of Technical Analysis: Evidence from the Hedge Fund Industry,” which was published in the December 2016 issue of the Journal of Financial and Quantitative Analysis. Their work examines how investor sentiment affects the effectiveness of technical analysis strategies (which include the use of moving averages as well as momentum) used by hedge funds (which are considered sophisticated investors). The study was motivated by prior research that has focused on “investor sentiment,” which is the propensity of individuals to trade on noise and emotions rather than facts. Sentiment causes investors to have beliefs about future cash flows and investment risks that aren’t justified. Two researchers, Malcolm Baker and Jeffrey Wurgler, constructed an investor sentiment index based on six measures: trading volume as measured by NYSE turnover; the dividend premium (the difference between the average market-to-book ratio of dividend-payers and non-payers); the closed-end fund discount; the number and first-day returns of IPOs; and the equity share in new issues. Data is available at through Wurgler and New York University.

The (Un-)Importance of Returns

In my last job with a large investment bank I built two global research teams and worked with high-profile clients around the globe. Having left [...]

The Dirtiest Word In Finance: Market Timing

In 2015, Cliff Asness made the case that to earn attractive returns with proper risk-based diversification and low correlation to traditional markets, investors need to [...]

Don’t Make a Bar Bet with Warren Buffett

This past weekend Warren Buffet made some headlines that has the financial world spinning: Berkshire Hathaway released its annual report...which is always a great read. The [...]

Swedroe Spotlight: Explaining the Low Risk Effect

Before proceeding, it’s important to note that beta and volatility are related, though not the same. Beta depends on volatility and correlation to the market, whereas volatility is related to idiosyncratic risk (see here for an explanation of how to calculate the different measures). The superior performance of low-volatility and low-beta stocks was first documented in the literature in the 1970s — by Fischer Black (in 1972) among others — even before the size and value premiums were “discovered.” And the low-volatility anomaly has been shown to exist in equity markets around the world. Interestingly, this finding is true not only for stocks, but for bonds as well. In other words, it has been pervasive.

Go Skew Yourself with Managed Futures

Skewness is a statistical measure of how returns behave in the tails of a probability distribution. Wikipedia has a more robust definition of skewness with [...]

Interest Rates and Value Investing

There is still no value in bonds today. The typical knee-jerk reaction to bold bond statements (such as the one above) is as follows:  This guy is [...]

The Rebalance Bonus for Value and Momentum Porfolios

A sophisticated DFA-focused advisor asked us to conduct some research on the following question: Are there additional portfolio diversification benefits to combining concentrated portfolios of value and [...]

The Folly of Stock Market Forecasting

The idea that one can predict stock market movements is somewhat insane. The major problem with stock market forecasting is the lack of evidence that it [...]

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