The paper represents an initial effort to unfold some of the determinants of the implied volatility skew empirically observed in financial (derivative) markets. In particular, in a general stochastic volatility model, we theoretically relate traders’ heterogenous expectations about the underlying stock volatility to the emergence of the implied volatility skew. We also used our model to predict sampled option prices. The analysis provides new characterizations of the behavior of the equilibrium option price as a mixture of Black and Scholes prices, and the associated Black and Scholes implied volatility that hold promise for practical modeling and forecasting.
Traders’ heterogeneous beliefs about stock volatility and the implied volatility skew in financial options markets / Nappo, Giovanna; Marchetti, Fabio Massimo; Vagnani, Gianluca. - In: FINANCE RESEARCH LETTERS. - ISSN 1544-6123. - On line first 24 gennaio 2023:23(2023), pp. 1-10. [10.1016/j.frl.2023.103664]
Traders’ heterogeneous beliefs about stock volatility and the implied volatility skew in financial options markets
Giovanna Nappo;Fabio Massimo Marchetti;Gianluca Vagnani
2023
Abstract
The paper represents an initial effort to unfold some of the determinants of the implied volatility skew empirically observed in financial (derivative) markets. In particular, in a general stochastic volatility model, we theoretically relate traders’ heterogenous expectations about the underlying stock volatility to the emergence of the implied volatility skew. We also used our model to predict sampled option prices. The analysis provides new characterizations of the behavior of the equilibrium option price as a mixture of Black and Scholes prices, and the associated Black and Scholes implied volatility that hold promise for practical modeling and forecasting.File | Dimensione | Formato | |
---|---|---|---|
Nappo_Traders’-heterogeneous_2023.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
380.84 kB
Formato
Adobe PDF
|
380.84 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.