Method of Moments Estimation for Affine Stochastic Volatility Models

Fuente: arXiv
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Hauptverfasser: Wu, Yan-Feng, Yang, Xiangyu, Hu, Jian-Qiang
Format: Preprint
Veröffentlicht: 2024
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author Wu, Yan-Feng
Yang, Xiangyu
Hu, Jian-Qiang
author_facet Wu, Yan-Feng
Yang, Xiangyu
Hu, Jian-Qiang
contents We develop moment estimators for the parameters of affine stochastic volatility models. We first address the challenge of calculating moments for the models by introducing a recursive equation for deriving closed-form expressions for moments of any order. Consequently, we propose our moment estimators. We then establish a central limit theorem for our estimators and derive the explicit formulas for the asymptotic covariance matrix. Finally, we provide numerical results to validate our method.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09185
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Method of Moments Estimation for Affine Stochastic Volatility Models
Wu, Yan-Feng
Yang, Xiangyu
Hu, Jian-Qiang
Statistical Finance
Econometrics
We develop moment estimators for the parameters of affine stochastic volatility models. We first address the challenge of calculating moments for the models by introducing a recursive equation for deriving closed-form expressions for moments of any order. Consequently, we propose our moment estimators. We then establish a central limit theorem for our estimators and derive the explicit formulas for the asymptotic covariance matrix. Finally, we provide numerical results to validate our method.
title Method of Moments Estimation for Affine Stochastic Volatility Models
topic Statistical Finance
Econometrics
url https://arxiv.org/abs/2408.09185