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Momentum and Positive Feedback Trading in Factor Analysis

Article Quant Q&A · Author: shoonya

Summary

The document asks whether momentum trading and positive feedback trading are distinct concepts, and whether individual trader data is needed to identify positive feedback or herding. The response treats momentum and positive feedback as conceptually equivalent trading behavior, while noting that a momentum strategy can also incorporate measures of herding at the individual-security level. This frames herding as an additional feature that can be studied alongside momentum behavior, rather than as a defining distinction between the two terms.

For Fama-French-Carhart factor analysis, the response points to the momentum factor, commonly represented by UMD, which measures the return spread between recent winners and losers. It does not give a statistical procedure for inferring the behavior of particular traders from factor returns, nor discuss identification limits or alternative explanations for the factor premium. The factor is therefore presented as relevant evidence of momentum exposure, not direct proof of individual investor behavior.

Key ideas

  • The response treats momentum trading and positive feedback trading as conceptually equivalent.
  • Individual-security analysis can add herding measures to the study of momentum behavior.
  • The UMD factor captures the return difference between high-momentum winners and low-momentum losers.
  • Factor exposure alone is not shown to identify the actions of specific traders.

Tags

Full text
# Difference between Trader Behavior and Analysis/Inference


# Difference between Trader Behavior and Analysis/Inference












In the academic literature - often "momentum" and "positive feedback" traders are used interchangeably. Like "Most researchers have found that institutional investors are momentum traders (also referred to as positive feedback traders and trend followers)"

Is the crucial difference - that momentum is computed as an aggregate while positive feedback is computed when individual trader data is available - so that herding can also be computed along with positive feedback?

How does one actually infer positive feedback from fama-french-carhart factors as well?

## Answer by Hans-Peter Schrei (score 0)

https://quant.stackexchange.com/a/75002

There is no conceptual difference between momentum trading and positive feedback trading. There are funds trading momentum strategies that incorporate herding metrics on an individual security level.

In terms of the Fama-French-Carhart factors, the factor that is most relevant for inferring positive feedback is the momentum factor (UMD): The difference in returns between high momentum (winners) and low momentum (losers) stocks.

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.