Results 11 to 20 of about 22,447 (299)

Nonparametric Stochastic Volatility [PDF]

open access: yesSSRN Electronic Journal, 2010
We provide nonparametric methods for stochastic volatility modeling. Our methods allow for the joint evaluation of return and volatility dynamics with nonlinear drift and diffusion functions, nonlinear leverage effects, and jumps in returns and volatility with possibly state-dependent jump intensities, among other features.
BANDI F, Renò, Roberto
openaire   +3 more sources

Capturing the volatility smile: parametric volatility models versus stochastic volatility models [PDF]

open access: yesPublic and Municipal Finance, 2016
Black-Scholes option pricing model (1973) assumes that all option prices on the same underlying asset with the same expiration date, but different exercise prices should have the same implied volatility.
Belen Blanco
doaj   +1 more source

Stochastic volatility and stochastic leverage [PDF]

open access: yesAnnals of Finance, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Veraart, Almut, Veraart, Luitgard A. M.
openaire   +1 more source

Estimation of Realized Asymmetric Stochastic Volatility Models Using Kalman Filter

open access: yesEconometrics, 2023
Despite the growing interest in realized stochastic volatility models, their estimation techniques, such as simulated maximum likelihood (SML), are computationally intensive.
Manabu Asai
doaj   +1 more source

Quadrinomial trees with stochastic volatility to value real options [PDF]

open access: yesJournal of Economics Finance and Administrative Science, 2021
Purpose – The purpose of this article is to propose a detailed methodology to estimate, model and incorporate the non-constant volatility onto a numerical tree scheme, to evaluate a real option, using a quadrinomial multiplicative recombination.
Freddy H. Marín-Sánchez   +2 more
doaj   +1 more source

MULTIFRACTIONAL STOCHASTIC VOLATILITY MODELS [PDF]

open access: yesMathematical Finance, 2013
The aim of this work is to advocate the use of multifractional Brownian motion (mBm) as a relevant model in financial mathematics. mBm is an extension of fractional Brownian motion where the Hurst parameter is allowed to vary in time. This enables the possibility to accommodate for varying local regularity, and to decouple it from long‐range dependence
Corlay, Sylvain   +2 more
openaire   +3 more sources

Multiscale Stochastic Volatility Asymptotics [PDF]

open access: yesMultiscale Modeling & Simulation, 2003
In the book by \textit{J.-P. Fouqué}, \textit{G. Papanicolaou} and \textit{K. R. Sircar} [Derivatives in financial markets with stochastic volatility. Cambridge: University Press (2000; Zbl 0954.91025)] a class of models was considered where volatility is a mean-reverting diffusion with an intrinsic fast time scale.
Jean-Pierre Fouque   +3 more
openaire   +2 more sources

Influence of stochastic volatility for option pricing

open access: yesLietuvos Matematikos Rinkinys, 2004
The article analyzes three models of stochastic volatility. Investigation of influence of stochastic volatility for pricing options traded in the Vilnius bank is done.
Akvilina Valaitytė   +1 more
doaj   +3 more sources

The Jacobi stochastic volatility model [PDF]

open access: yesFinance and Stochastics, 2016
We introduce a novel stochastic volatility model where the squared volatility of the asset return follows a Jacobi process. It contains the Heston model as a limit case. We show that the joint density of any finite sequence of log returns admits a Gram-Charlier A expansion with closed-form coefficients.
Filipovic, Damir   +2 more
openaire   +3 more sources

Dynamic equicorrelation stochastic volatility [PDF]

open access: yesComputational Statistics & Data Analysis, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuta Kurose, Yasuhiro Omori
openaire   +3 more sources

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