A non-parametric estimator for stochastic volatility density
Soufiane Ouamaliche and Awatef Sayah
Year of publication: |
2021
|
---|---|
Authors: | Ouamaliche, Soufiane ; Sayah, Awatef |
Published in: |
International journal of computational economics and econometrics : IJCEE. - Genève [u.a.] : Inderscience Enterprises, ISSN 1757-1189, ZDB-ID 2545120-0. - Vol. 11.2021, 4, p. 349-367
|
Subject: | non-parametric estimation | kernel smoothing | kernel regression | kernel density estimation | convolution structure | stochastic volatility | Monte Carlo simulations | Schätztheorie | Estimation theory | Volatilität | Volatility | Monte-Carlo-Simulation | Monte Carlo simulation | Stochastischer Prozess | Stochastic process | Nichtparametrisches Verfahren | Nonparametric statistics | Core | Schätzung | Estimation | Optionspreistheorie | Option pricing theory |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Interest rate derivatives for the fractional Cox-Ingersoll-Ross model
Bishwal, Jaya Prakasah Narayan, (2023)
-
Estimating stochastic volatility under the assumption of stochastic volatility of volatility
Alghalith, Moawia, (2020)
-
Estimating spot volatility under infinite variation jumps with dependent market microstructure noise
Liu, Zhi, (2024)
- More ...