Return Extrapolation and Volatility Expectations

Abstract 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.

Authors

Institutions

Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2025-03-28
DOI
https://doi.org/10.1017/s0022109025000249
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Return Extrapolation and Volatility Expectations

Vincent Xiang, Tarun Chordia, Tse‐Chun Lin
1 citations
Journal of Financial and Quantitative Analysis
Stochastic processes and financial applications
article

Return Extrapolation and Volatility Expectations

Vincent Xiang, Tarun Chordia, Tse‐Chun Lin
article en
1 citations

Abstract

Abstract 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.

Journal of Financial and Quantitative AnalysisVol. 60(8)
Deakin University (AU), Emory University (US), University of Hong Kong (HK)
University of Otago, La Trobe University, Deakin University, Monash University, National Natural Science Foundation of China
Openalex Percentile: Top 92%
Stochastic processes and financial applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.