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Master's Dissertation
DOI
https://doi.org/10.11606/D.96.2023.tde-06102023-094338
Document
Author
Full name
Guilherme José Lemos Piantino
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2023
Supervisor
Committee
Laurini, Marcio Poletti (President)
Alencar, Airlane Pereira
Torrent, Hudson da Silva
Title in English
Estimating implied volatility surfaces using Bayesian splines under shape restrictions
Keywords in English
Bayesian methods
Implied volatility
Options pricing
Splines regression
Abstract in English
This work develops a statistical model for estimating implied volatility surfaces, using information about the expectations of market agents contained in the market prices of options. The implied volatility curves are estimated by shape-constrained splines, using a Bayesian method (MCMC) that imposes no-arbitrage conditions on the price curve using shape restrictions.
Title in Portuguese
Estimação de superfícies de volatilidade implícita usando splines Bayesianos sob restrições de formato
Keywords in Portuguese
Método bayesiano
Regressão via splines
Volatilidade implícita
Abstract in Portuguese
Este trabalho desenvolve um modelo estatístico para estimação de superfícies de volatilidade implícita, utilizando informações sobre as expectativas dos agentes de mercado contidas nos preços de mercado de opções. As curvas de volatilidade implícita serão estimadas por splines com restrição de forma, usando um método bayesiano (MCMC) que impõe condições de não arbitragem na curva de preço usando restrições de formato.
 
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Publishing Date
2023-11-17
 
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