The Effect of Confidence in Valuation Estimates on Arbitrager Behavior and Market Prices
Austin Murphy and
Liang Fu
Journal of Behavioral Finance, 2018, vol. 19, issue 3, 349-363
Abstract:
The authors develop a complete framework for optimizing trading decisions that incorporates investors' confidence in their valuation estimates. Quantified estimates of arbitragers' uncertainty about their appraisals of asset values are shown to be extractable from market prices alone. An empirical investigation over the 1977–2015 interval indicated that confidence levels exhibit persistence subject to mean reversion, with a positive relationship found with the magnitude of existing mispricings. Higher returns are discovered to long (short) arbitrage of an asset, whose intrinsic value is higher (lower) than the market price, after rises in uncertainty among informed investors.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/15427560.2018.1378219 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:hbhfxx:v:19:y:2018:i:3:p:349-363
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/hbhf20
DOI: 10.1080/15427560.2018.1378219
Access Statistics for this article
Journal of Behavioral Finance is currently edited by Brian Bruce
More articles in Journal of Behavioral Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().