Implied Volatility Estimation
Implied Volatility Estimation is a quantitative method in financial econometrics that derives the market’s expectation of an asset’s future volatility by inverting option pricing models, such as the Black-Scholes model, to solve for the volatility parameter implied by observed option prices.
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2017–2026
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Empirical Performance of Alternative Option Pricing Models
Gurdip Bakshi, Charles Cao, Zhiwu Chen · The Journal of Finance · 1997 · 2.7K citations · Full text
Implied Volatility Functions: Empirical Tests
Bernard Dumas, Jeff Fleming, Robert E. Whaley · The Journal of Finance · 1998 · 1.3K citations
Empirical Performance of Alternative Option Pricing Models
Gurdip Bakshi, Charles Cao, Zhiwu Chen · The Journal of Finance · 1997 · 1.1K citations
Volatility estimation for Bitcoin: A comparison of GARCH models
Paraskevi Katsiampa · Economics Letters · 2017 · 1.1K citations · Full text
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New York University
New York, United States
15 h-index
26 publications
2.9K citations

Imperial College London
London, United Kingdom
14 h-index
27 publications
1.1K citations
Swiss Finance Institute
Zurich, Switzerland
13 h-index
19 publications
838 citations
Princeton University
Princeton, United States
13 h-index
15 publications
658 citations

University of Toronto
Toronto, Canada
12 h-index
24 publications
1.2K citations

Aarhus University
Aarhus, Denmark
12 h-index
16 publications
2.2K citations
Baruch College
New York, United States
11 h-index
16 publications
2.1K citations
Dublin City University
Dublin, Ireland
11 h-index
11 publications
506 citations
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Repository · 126 publications · 4.5K citations
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47 publications · 1.7K citations
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