Guest Posts

Trend-Following with Valeriy Zakamulin: Moving Average Basics (Part 1)

One of the basic principles of technical analysis is that ``prices move in trends". Traders firmly believe that these trends can be identified in a timely manner and used to generate profits and limit losses. Consequently, trend following is the most widespread market timing strategy; it tries to jump on a trend and ride it. Specifically, when stock prices are trending upward (downward), it's time to buy (sell) the stock. Even though trend following is very simple in concept, its practical realization is complicated. One of the major difficulties is that stock prices fluctuate wildly due to imbalances between supply and demand and due to constant arrival of new information about company fundamentals. These up-and-down fluctuations make it hard to identify turning points in a trend. Moving averages are used to ``smooth" the stock price in order to highlight the underlying trend.

Tactical Asset Allocation and the US 60/40 Benchmark

Our firm Allocate Smartly provides independent analysis of Tactical Asset Allocation (TAA) strategies. TAA strategies dynamically allocate to broad asset classes like stock indices, bond indices or gold. Unlike [...]

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 [...]

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