Trend Following

Moving Average Distance and Time-Series Momentum

For investors that use trend-following strategies, Avramov, Kaplanski, and Subrhmanyam provided new evidence supporting momentum strategies and showed that the distance between short- and longer-term momentum signals provides additional explanatory power in the cross-section of equity returns.

Trend-Following Filters – Part 8

This article describes digital filters derived from time series regression models that can be used as technical analysis tools. The filters are analyzed from a digital signal processing (DSP) frequency domain perspective to illustrate their properties. Example charts of the filters applied to the S&P 500 index are also included.

What is Trend Following? A Painful Journey to Smarter Investing

Trend following, at its core, is a strategy where investors buy an asset when it's going up and sell when it’s going down. But unlike panic-driven investors who sell at the worst possible moment, trend followers adhere to a rules-based approach in an attempt to remove emotion from the equation.

Trend-Following Filters – Part 7

This article examines four digital filters commonly used for trend-following: moving average linear weighted moving average exponential smoothing time series momentum

Investing Isn’t About Being Mostly Right 

Investing isn’t about being mostly right. In fact you can be mostly wrong and beat portfolios that were mostly right! Today, we’ll explore how investors can potentially improve portfolio outcomes by targeting two seemingly contradictory but deeply complementary systems as outlined in the latest Mauboussin-Callahan paper, Probabilities & Payoffs: The Practicality and Psychology of Expected Value. But understanding this counterintuitive reality requires a shift in mindset—one that embraces uncertainty and focuses on the power of diversification.

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