Long-term equity anticipation securities and stock market volatility dynamics

dc.contributor.author

Bollerslev, T

dc.contributor.author

Mikkelsen, HO

dc.date.accessioned

2010-03-09T15:29:12Z

dc.date.issued

1999-09-01

dc.description.abstract

Recent empirical findings suggest that the long-run dependence in U.S. stock market volatility is best described by a slowly mean-reverting fractionally integrated process. The present study complements this existing time-series-based evidence by comparing the risk-neutralized option pricing distributions from various ARCH-type formulations. Utilizing a panel data set consisting of newly created exchange traded long-term equity anticipation securities, or leaps, on the Standard and Poor's 500 stock market index with maturity times ranging up to three years, we find that the degree of mean reversion in the volatility process implicit in these prices is best described by a Fractionally Integrated EGARCH (FIEGARCH) model. © 1999 Elsevier Science S.A. All rights reserved.

dc.format.mimetype

application/pdf

dc.identifier.issn

0304-4076

dc.identifier.uri

https://hdl.handle.net/10161/1894

dc.language.iso

en_US

dc.publisher

Elsevier BV

dc.relation.ispartof

Journal of Econometrics

dc.title

Long-term equity anticipation securities and stock market volatility dynamics

dc.type

Journal article

pubs.begin-page

75

pubs.end-page

99

pubs.issue

1

pubs.organisational-group

Duke

pubs.organisational-group

Economics

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

92

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