Cross-sectional Implied Volatility
Cross-Sectional Implied Volatility is a financial metric that quantifies the dispersion of implied volatility levels across different options or underlying assets at a given point in time, distinguishing it from time-series measures by focusing on variation across market instruments rather than over time.
30
Publications
1.9K
Citations
49
Authors
47
Institutions
Publications per year
2017–2026
5
Parents
30
Volatility Spreads and Expected Stock Returns
Turan G. Bali, Armen Hovakimian · Management Science · 2009 · 414 citations
The Joint Cross Section of Stocks and Options
Byeong-Je An, Andrew Ang, Turan G. Bali et al. · The Journal of Finance · 2014 · 311 citations
Cross section of option returns and idiosyncratic stock volatility
Jie Cao, Bing Han · Journal of Financial Economics · 2012 · 110 citations · Full text
1–5 of 30
49
5
h-index
3
h-index
3
h-index
Centre for Economic Policy Research, United Kingdom
2 publications · 32 citations
2
h-index
2
h-index
1–5 of 49
47
Georgetown University
Washington, United States
4 h-index
8 publications
1.4K citations

City, University of London
London, United Kingdom
3 h-index
4 publications
62 citations

University of Vaasa
Vaasa, Finland
3 h-index
6 publications
352 citations
Fordham University
New York, United States
3 h-index
6 publications
1.3K citations
BlackRock (United States)
New York, United States
2 h-index
2 publications
77 citations
Columbia University
New York, United States
2 h-index
2 publications
77 citations
Auckland University of Technology
Auckland, New Zealand
2 h-index
2 publications
34 citations
Baruch College
New York, United States
2 h-index
3 publications
890 citations
1–8 of 47
Repository · 8 publications · 245 citations
9
h-index
4 publications · 196 citations
4
h-index
GFJ · 2 publications · 104 citations
2
h-index
2 publications · 98 citations
2
h-index
AJBM · 1 publications · 24 citations
1
h-index
1–5