Price and volume dynamics in bubbles

Liao, Jingchi; Peng, ChengORCID logo; and Zhu, Ning (2019) Price and volume dynamics in bubbles [Working paper]
Copy

We propose a framework based on two ingredients—extrapolative beliefs and the disposition effect—and show that it can generate the sharp rise in both prices and volume observed in many bubbles. We test this framework using novel, account-level data on the 2014–2015 Chinese stock market bubble. The interaction of extrapolative beliefs and the disposition effect explains 30% of the rise in volume. Investors who are both extrapolative and prone to the disposition effect are quick to buy a stock with positive past returns, but also quick to sell it if good returns continue.

picture_as_pdf

picture_as_pdf
subject
Published Version

Download

Atom BibTeX OpenURL ContextObject in Span OpenURL ContextObject Dublin Core MPEG-21 DIDL Data Cite XML EndNote HTML Citation METS MODS RIOXX2 XML Reference Manager Refer ASCII Citation
Export

Downloads