Implied Volatility Forecasting
Implied Volatility Forecasting is a quantitative methodology in financial econometrics that specifically models and predicts future market volatility by extracting forward-looking expectations from observed options prices, distinguished from historical volatility approaches by its reliance on market-implied derivatives data.
300
Publications
21.6K
Citations
548
Authors
393
Institutions
Publications per year
2017–2026
74
300
Economic uncertainty before and during the COVID-19 pandemic
Dave Altig, Scott Baker, Jose Maria Barrero et al. · Journal of Public Economics · 2020 · 993 citations · Full text
The Information in Option Volume for Future Stock Prices
Jun Pan, Allen M. Poteshman · Review of Financial Studies · 2006 · 896 citations
Predicting Volatility in the Foreign Exchange Market
Philippe Jorion · The Journal of Finance · 1995 · 698 citations
The Informational Content of Implied Volatility
Linda Canina, Stephen Figlewski · Review of Financial Studies · 1993 · 673 citations
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548
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393
Lancaster University
Lancaster, United Kingdom
8 h-index
14 publications
2.3K citations

Aarhus University
Aarhus, Denmark
7 h-index
9 publications
1.9K citations

National Bureau of Economic Research
Cambridge, United States
6 h-index
12 publications
1.7K citations

University of Piraeus
Piraeus, Greece
6 h-index
9 publications
748 citations
Queen Mary University of London
London, United Kingdom
5 h-index
7 publications
308 citations

Athens University of Economics and Business
Athens, Greece
5 h-index
7 publications
223 citations

Bocconi University
Milan, Italy
5 h-index
6 publications
184 citations
University of Oklahoma
Norman, United States
5 h-index
5 publications
247 citations
1–8 of 393
Repository · 45 publications · 1.2K citations
21
h-index
25 publications · 1.1K citations
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13 publications · 1.9K citations
13
h-index
8 publications · 443 citations
8
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7 publications · 502 citations
7
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