Aggregate idiosyncratic volatility, dynamic aspects of loss aversion, and narrow framing

Aggregate idiosyncratic volatility, dynamic aspects of loss aversion, and narrow framing We test the dynamic aspects of the loss aversion feature of Kahneman and Tversky (Prospect theory: an analysis of decision under risk. Econometrica 47:263–291, 1979) and find that idiosyncratic volatility is negatively associated with unrealized gains of stock returns. Moreover, we show that this negative relationship is stronger for stocks with high individual investors’ holdings. Finally, we show that controlling for firm age as defined by Fink et al. (What drove the increase in idiosyncratic volatility during the internet boom? J Financ Quant Anal 45:1253–1278, 2010) eliminates the significance of retail trading proportions as a driver of idiosyncratic volatility. These findings are robust to price, sentiment, and IPO dates. Bivariate vector auto-regression confirms the causality of unrealized gains of stock returns on idiosyncratic volatility. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Quantitative Finance and Accounting Springer Journals

Aggregate idiosyncratic volatility, dynamic aspects of loss aversion, and narrow framing

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Publisher
Springer US
Copyright
Copyright © 2016 by Springer Science+Business Media New York
Subject
Finance; Corporate Finance; Accounting/Auditing; Econometrics; Operation Research/Decision Theory
ISSN
0924-865X
eISSN
1573-7179
D.O.I.
10.1007/s11156-016-0595-8
Publisher site
See Article on Publisher Site

Abstract

We test the dynamic aspects of the loss aversion feature of Kahneman and Tversky (Prospect theory: an analysis of decision under risk. Econometrica 47:263–291, 1979) and find that idiosyncratic volatility is negatively associated with unrealized gains of stock returns. Moreover, we show that this negative relationship is stronger for stocks with high individual investors’ holdings. Finally, we show that controlling for firm age as defined by Fink et al. (What drove the increase in idiosyncratic volatility during the internet boom? J Financ Quant Anal 45:1253–1278, 2010) eliminates the significance of retail trading proportions as a driver of idiosyncratic volatility. These findings are robust to price, sentiment, and IPO dates. Bivariate vector auto-regression confirms the causality of unrealized gains of stock returns on idiosyncratic volatility.

Journal

Review of Quantitative Finance and AccountingSpringer Journals

Published: Sep 12, 2016

References

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