The Nadaraya–Watson estimation of uncertain differential equations with applications in financial market

This paper proposes a nonparametric Nadaraya–Watson estimator for the drift and diffusion terms in homogeneous uncertain differential equations with unknown structures. We validate its performance using two numerical examples with residual analysis and an empirical study on the Dow Jones Americas Basic Materials Index. Compared to existing methods, our estimator is more robust to outliers and requires no prior knowledge of the drift or diffusion term structures.

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Publication Details

Journal
Communications in Statistics - Simulation and Computation
Published
2026-08-25
DOI
https://doi.org/10.1080/03610918.2026.2718845
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
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article

The Nadaraya–Watson estimation of uncertain differential equations with applications in financial market

Anshui Li, J. Wang., Hongjuan Li, Zilong Wang et al.
Communications in Statistics - Simulation and Computation
Financial Risk and Volatility Modeling
article

The Nadaraya–Watson estimation of uncertain differential equations with applications in financial market

Anshui Li, J. Wang., Hongjuan Li, Zilong Wang, Lihong Shao
article en

Abstract

This paper proposes a nonparametric Nadaraya–Watson estimator for the drift and diffusion terms in homogeneous uncertain differential equations with unknown structures. We validate its performance using two numerical examples with residual analysis and an empirical study on the Dow Jones Americas Basic Materials Index. Compared to existing methods, our estimator is more robust to outliers and requires no prior knowledge of the drift or diffusion term structures.

Communications in Statistics - Simulation and Computation
Shaoxing University (CN)
Openalex Percentile: Top 6%
Financial Risk and Volatility Modeling
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