Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Feedback Trading, Investor Sentiment and the Volatility Puzzle:An Infinite Theoretical Framework

Version 1 : Received: 28 June 2023 / Approved: 28 June 2023 / Online: 28 June 2023 (10:54:03 CEST)

A peer-reviewed article of this Preprint also exists.

Chen, C.; Hu, C.; Wu, L. Feedback Trading, Investor Sentiment and the Volatility Puzzle: An Infinite Theoretical Framework. Mathematics 2023, 11, 3148. Chen, C.; Hu, C.; Wu, L. Feedback Trading, Investor Sentiment and the Volatility Puzzle: An Infinite Theoretical Framework. Mathematics 2023, 11, 3148.

Abstract

Feedback trading theory is one of the most primitive theories about financial market. But for a long time,researches and modelings on this topic are rarely seen. The model in this paper shows the effects of sentiment shocks on asset prices in a market characterized by feedback trading in the long run. We find that,generally,feedback trading will lead to cognitive bias effect and trading inducement effect. Cognitive bias effect increases with the feedback trading parameter ( FTP) . In our model,the abnormal volatility of asset prices is captured by cognitive bias effect,sentiment shock effect and trading inducement effect.

Keywords

Feedback Trading; Investor Sentiment; the Abnormal Volatility of Asset Prices

Subject

Business, Economics and Management, Finance

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.