Lookup NU author(s): Professor Darren Duxbury
This is the authors' accepted manuscript of an article that has been accepted and is due to be published in its final definitive form by Institute for Operations Research and the Management Sciences, 2019.
For re-use rights please refer to the publisher's terms and conditions.
Financial models incorporating a reference point, such as the Capital Gains Overhang (CGO) model, typically assume it is fixed at the purchase price. Combining experimental and market data, this paper examines whether such models can be improved by incorporating reference point adjustment. Using real stock prices over horizons from 6-months to 5-years, experimental evidence demonstrates that a number of salient points in the prior share price path are key determinants of the reference point, in addition to the purchase price. Market data testing is then undertaken using the CGO model. We show that composite CGO variables, created using a mix of salient points with weights determined in the experiment, have greater predictive power than the traditional CGO variable in both cross-sectional US equity return analysis and when analyzing the performance of double-sorted portfolios. In addition, future trading volume is more sensitive to changes in the composite CGO variables than to the traditional CGO, further emphasizing the importance of adjusting reference points.
Author(s): Riley C, Summers B, Duxbury D
Publication type: Article
Publication status: In Press
Journal: Management Science
Acceptance date: 09/05/2019
Date deposited: 20/05/2019
ISSN (print): 0025-1909
ISSN (electronic): 1526-5501
Publisher: Institute for Operations Research and the Management Sciences