This is a test of two stock market seasonality strategies from Fred Piard’s book Quantitative Investing: Strategies to Exploit Stock Market Anomalies for All Investors. Strategy results from 1970 follow. Results are net of transaction costs – see backtest assumptions. Learn about what we do and follow 90+ asset allocation strategies like this one in […]
Seasonality
Front Running Commodity Seasonality
This is an independent test of a series of interesting studies from Quantpedia (here and here) related to seasonality in commodity ETFs. We’ve more than doubled the length of the author’s original test using relevant index data (1). Test #1: Front running commodity seasonality In all of our tests, we will be trading the same […]
Diving Deeper: Does the Day of the Month Matter?
Most Tactical Asset Allocation (TAA) strategies trade just once a month. Backtests of those strategies usually assume trades are executed on the last trading day of the month. Why? Monthly asset data is often available further back into history than daily data. Assuming trades are executed at month-end allows for longer backtests, showing how the […]
The Ubiquitous “Sell in May”
As a site that tracks all things asset allocation, it seems like a miss not to include the most well known of asset allocation strategies: “Sell in May and go away” (aka the Halloween Indicator). This is a fitting time to add it to the lineup: The strategy is killing it this year and a […]
Predictable End-of-Month Treasury ETF Returns
The inspiration for this post comes from a new paper titled Predictable End-of-Month Treasury Returns (h/t Capital Spectator). A description from the authors: We document a distinct pattern in the timing of excess returns on coupon Treasury securities. Average returns are positive and highly significant in the last few days of the month and are […]
Alternate Trading Days: An Important Analytical Tool
Many of the tactical asset allocation strategies that we track are designed to only trade at the end of the month. When tracking these strategies for members however, we show the results of trading on other days of the month as well. We don’t do this to show off our backtesting prowess; it’s an important analytical […]