This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

S&P 100 Index Option Volatility

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
 Harvey, Campbell R
Whaley, Robert E

Additional information is available for the following registered author(s):

Abstract

Using transaction data on the S&P 100 index options, the authors study the effect of valuation simplifications that are commonplace in previous research on the time-series properties of implied market volatility. Using an American-style algorithm that accounts for the discrete nature of the dividends on the S&P 100 index, they find that spurious negative serial correlation in implied volatility changes is induced by nonsimultaneously observing the option price and the index level. Negative serial correlation is also induced by a bid/ask price effect if a single option is used to estimate implied volatility. In addition, the authors find that these same effects induce spurious (and unreasonable) negative cross-correlations between the changes in call and put implied volatility. Copyright 1991 by American Finance Association. See http://www.jstor.org for details.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Article provided by American Finance Association in its journal Journal of Finance.

Volume (Year): 46 (1991)
Issue (Month): 4 (September)
Pages: 1251-61
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:bla:jfinan:v:46:y:1991:i:4:p:1251-61

Contact details of provider:
Web page: http://www.afajof.org/
More information through EDIRC

Order Information:
Web: http://www.afajof.org/membership/join.asp

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Bent Jesper Christensen & Charlotte Strunk Hansen, 2002. "New evidence on the implied-realized volatility relation," European Journal of Finance, Taylor and Francis Journals, vol. 8(2), pages 187-205, June. [Downloadable!] (restricted)
  2. Matthias R. Fengler, 2005. "Arbitrage-Free Smoothing of the Implied Volatility Surface," SFB 649 Discussion Papers SFB649DP2005-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
  3. F. Gonzalez Miranda, N. Burgess, 1997. "Modelling market volatilities: the neural network perspective," European Journal of Finance, Taylor and Francis Journals, vol. 3(2), pages 137-157, June. [Downloadable!] (restricted)
  4. Ayla Ogus, 2005. "Pricing Of S&P 100 Index Options Based On Garch Volatility Estimates," Finance 0504005, EconWPA. [Downloadable!]
    Other versions:
  5. Cornelis Los, 2004. "Measuring the Degree of Efficiency of Financial Market," Finance 0411003, EconWPA. [Downloadable!]
  6. Lucy F. Ackert & Marie D. Racine, 1998. "Stochastic trends and cointegration in the market for equities," Working Paper 98-13, Federal Reserve Bank of Atlanta. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? You can create your own reading lists on IDEAS.

This page was last updated on 2009-12-8.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.