arrow
Return

Return Extrapolation and Volatility Expectations

delete2025-03-01
delete0
delete
OA
AI
T
Tarun Chordia
T
Tse‐Chun Lin *
V
Vincent Xiang
DOI:10.1017/S0022109025000249delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
This article provides the first comprehensive evidence that the return extrapolation behavior of investors leads to biases in the expectations of volatility. Lower past returns are associated with higher expectations of volatility when using the physical, risk-neutral, and survey measures to estimate volatility expectations. Consistent with the return extrapolation framework, recent past returns have a larger impact than distant past returns on volatility expectations. Biases in volatility expectations are i) distinct from extrapolating past realized volatility, ii) asymmetrically induced by recent past negative returns, and iii) lead investors to pay more to insure against the perceived higher expected volatility.
Keywords:
VARIANCE RISK
STOCK RETURNS
BELIEFS
MODEL
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Financial and Quantitative Analysis cover
Journal of Financial and Quantitative Analysis
IF:
2.8
Papers:
2.3K
Citations:
1.0W

Organization

Z
Zhejiang University
Scholars:
1.5W
Papers: 5.2K
Citations: 17.8W
D
deakin university
Scholars:
1.6K
Papers: 777
Citations: 1
E
Emory University
Scholars:
5.0W
Papers: 4.2W
Citations: 5.7W
researcher View more organizations