Investor Overconfidence and Trading Volume

Clicks: 1
ID: 301004
2006
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #152 of 192 articles by views in review of financial studies

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 192 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The proposition that investors are overconfident about their valuation and trading skills can explain high observed trading volume. With biased self-attribution, the level of investor overconfidence and thus trading volume varies with past returns. We test the trading volume predictions of formal overconfidence models and find that share turnover is positively related to lagged returns for many months. The relationship holds for both market-wide and individual security turnover, which we interpret as evidence of investor overconfidence and the disposition effect, respectively. Security volume is more responsive to market return shocks than to security return shocks, and both relationships are more pronounced in small-cap stocks and in earlier periods where individual investors hold a greater proportion of shares. (JEL G11, G12) Copyright 2006, Oxford University Press.
Reference Key
openalex_W1579091683 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Meir Statman, Steven Thorley, Keith Vorkink
Journal review of financial studies
Year 2006
DOI
10.1093/rfs/hhj032
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.