Risk-neutral moment-based estimation of affine option pricing models / by Bruno Feunou and Cédric Okou. : FB3-5/2017-55E-PDF

“This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option prices and exploit linear relationships between risk-neutral cumulants and latent factors within the continuous time affine stochastic volatility framework. We find that fitting the Andersen, Fusari, and Todorov (2015b) option valuation model to risk-neutral moments captures the bulk of the information in option prices. Our estimation strategy is effective, easy to implement, and robust, as it allows for a direct linear filtering of the latent factors and a quasi-maximum likelihood estimation of model parameters. From a practical perspective, employing risk-neutral moments instead of option prices also helps circumvent several sources of numerical errors and substantially lessens the computational burden inherent in working with a large panel of option contracts"--Abstract, p. ii.

Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.848572&sl=1

Renseignements sur la publication
Ministère/Organisme Bank of Canada.
Titre Risk-neutral moment-based estimation of affine option pricing models / by Bruno Feunou and Cédric Okou.
Titre de la série Bank of Canada staff working paper, 1701-9397 ; 2017-55
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) "December 2017."
Includes bibliographical references (p. 23-35).
Includes abstract in French.
Information sur la publication [Ottawa] : Bank of Canada, 2017.
Auteur / Contributeur Feunou, Bruno.
Okou, Cédric.
Description ii, 59 p. : charts (some col.)
Numéro de catalogue
  • FB3-5/2017-55E-PDF
Descripteurs Stock markets
Assets
Prices
Statistical analysis
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