← Back to results The GARCH Model Driven by Fractional Brownian Motion Yuecai Han et al.
Abstract This article presents a novel extension of the GARCH model incorporating weighted liquidity, modeled by fractional Brownian motion. The existence of a stationary solution is proven, and the higher‐order moments are calculated to illustrate the statistical properties of the model. Analysis of the auto‐correlation function of the squared process confirms the long‐term memory characteristic of the model. Numerical simulations are employed to validate the theoretical findings, demonstrating the significance of the model in the financial market.
Open in an MCP-compatible agent ↗
Open via your library → Cite
Cite this paper https://doi.org/https://doi.org/10.1002/asmb.70071 Copy URL
Or copy a formatted citation
BibTeX RIS APA Chicago Link
@article{yuecai2026,
title = {{The GARCH Model Driven by Fractional Brownian Motion}},
author = {Yuecai Han et al.},
journal = {Applied Stochastic Models in Business and Industry},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1002/asmb.70071},
} TY - JOUR
TI - The GARCH Model Driven by Fractional Brownian Motion
AU - al., Yuecai Han et
JO - Applied Stochastic Models in Business and Industry
PY - 2026
ER - Yuecai Han et al. (2026). The GARCH Model Driven by Fractional Brownian Motion. *Applied Stochastic Models in Business and Industry*. https://doi.org/https://doi.org/10.1002/asmb.70071 Yuecai Han et al.. "The GARCH Model Driven by Fractional Brownian Motion." *Applied Stochastic Models in Business and Industry* (2026). https://doi.org/https://doi.org/10.1002/asmb.70071. The GARCH Model Driven by Fractional Brownian Motion
Yuecai Han et al. · Applied Stochastic Models in Business and Industry · 2026
https://doi.org/https://doi.org/10.1002/asmb.70071 Copy
Paste directly into BibTeX, Zotero, or your reference manager.
Flag this paper Evidence weight Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
F · citation impact 0.50 × 0.4 = 0.20 M · momentum 0.50 × 0.15 = 0.07 V · venue signal 0.50 × 0.05 = 0.03 R · text relevance † 0.50 × 0.4 = 0.20
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.