Idiosyncratic volatility

• Standard idiosyncratic volatility (IV) measures are fundamentally misspecified. • No traded asset has zero variance return. We identify the true IV measure. • True-versus-standard IV ratio lies in [0,1], implying unbounded measurement errors. • Errors are arbitrary, nonlinear, and nonmonotonic. No econometric fix exists. • Studies using standard IV measures can be severely and unpredictably distorted. Identifying stock returns’ idiosyncratic volatility (IV) is essential for asset pricing, portfolio construction, and empirical studies. IV plays a central role in explaining the cross-section of returns, including “IV puzzle” and designing investment strategies. The existing literature defines IV as the difference between a stock’s total return volatility and the portion explained by (linear beta) pricing models. We show that this conventional measure is fundamentally misspecified because in reality no traded asset has zero-variance returns. We identify the true IV measure and demonstrate that the ratio of the true to the literature’s misspecified IV measure lies in the interval [0,1]. This implies measurement-error magnitudes ranging from zero to infinity, where zero misspecification occurs with probability zero. The mismeasurement is arbitrary—nonmonotonic and nonlinear in any stock or market parameter. These results suggest that, under the literature’s definition of IV, no econometric method can correct for the misspecification. Empirical studies relying on this conventional IV measure are arbitrarily distorted.

Authors

Institutions

Publication Details

Journal
Finance research letters
Published
2025-12-23
DOI
https://doi.org/10.1016/j.frl.2025.109410
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Idiosyncratic volatility

David M. Feldman, Chang-Mo Kang, Yifan Zhao
Finance research letters
Financial Markets and Investment Strategies
article

Idiosyncratic volatility

David M. Feldman, Chang-Mo Kang, Yifan Zhao
article en

Abstract

• Standard idiosyncratic volatility (IV) measures are fundamentally misspecified. • No traded asset has zero variance return. We identify the true IV measure. • True-versus-standard IV ratio lies in [0,1], implying unbounded measurement errors. • Errors are arbitrary, nonlinear, and nonmonotonic. No econometric fix exists. • Studies using standard IV measures can be severely and unpredictably distorted. Identifying stock returns’ idiosyncratic volatility (IV) is essential for asset pricing, portfolio construction, and empirical studies. IV plays a central role in explaining the cross-section of returns, including “IV puzzle” and designing investment strategies. The existing literature defines IV as the difference between a stock’s total return volatility and the portion explained by (linear beta) pricing models. We show that this conventional measure is fundamentally misspecified because in reality no traded asset has zero-variance returns. We identify the true IV measure and demonstrate that the ratio of the true to the literature’s misspecified IV measure lies in the interval [0,1]. This implies measurement-error magnitudes ranging from zero to infinity, where zero misspecification occurs with probability zero. The mismeasurement is arbitrary—nonmonotonic and nonlinear in any stock or market parameter. These results suggest that, under the literature’s definition of IV, no econometric method can correct for the misspecification. Empirical studies relying on this conventional IV measure are arbitrarily distorted.

Finance research lettersVol. 92
UNSW Sydney (AU), BlackRock (United States) (US), Department of Finance (AU), Hanyang University (KR)
Openalex Percentile: Top 28%
Financial Markets and Investment Strategies
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.