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The informational quality of implied volatility and the volatility risk premium

Authors
Ferris, Stephen P.Kim, WoojinPark, Kwangwoo
Issue Date
2010
Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Citation
APPLIED ECONOMICS LETTERS, v.17, no.5, pp.445 - 450
Indexed
SSCI
AHCI
SCOPUS
Journal Title
APPLIED ECONOMICS LETTERS
Volume
17
Number
5
Start Page
445
End Page
450
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/118577
DOI
10.1080/13504850801935356
ISSN
1350-4851
Abstract
This article examines the informational quality of implied volatility in forecasting future realized volatility using daily SP 500 and SP 100 index option prices from 2000 to 2006. In contrast to many previous studies, we find that implied volatility is an unbiased and efficient estimator of future realized volatility. Unlike implied volatility estimates; both historical and conditional volatility estimates using GARCH and EGARCH models possess limited explanatory power. A delta-hedged trading strategy with long positions in calls, however, generates significantly negative profits that imply a misspecification of constant volatility models. These results suggest that implied volatility estimates from constant volatility models contain valuable information, even though the model might be misspecified.
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