Fractional Gaussian Noise: Projections, Prediction, Norms

We examine the one-sided and two-sided (bilateral) projections of an element of fractional Gaussian noise onto its neighboring elements. We establish several analytical results and conduct a numerical study to analyze the behavior of the coefficients of these projections as functions of the Hurst index and the number of neighboring elements used for the projection. We derive recurrence relations for the coefficients of the two-sided projection. Additionally, we explore the norms of both types of projections. Certain special cases are investigated in greater detail, both theoretically and numerically.

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Publication Details

Journal
Fractal and Fractional
Published
2025-06-29
DOI
https://doi.org/10.3390/fractalfract9070428
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Fractional Gaussian Noise: Projections, Prediction, Norms

Yuliya Stepanovna Mishura, Iryna Bodnarchuk, Kostiantyn Ralchenko
Fractal and Fractional
Financial Risk and Volatility Modeling
article

Fractional Gaussian Noise: Projections, Prediction, Norms

Yuliya Stepanovna Mishura, Iryna Bodnarchuk, Kostiantyn Ralchenko
article en

Abstract

We examine the one-sided and two-sided (bilateral) projections of an element of fractional Gaussian noise onto its neighboring elements. We establish several analytical results and conduct a numerical study to analyze the behavior of the coefficients of these projections as functions of the Hurst index and the number of neighboring elements used for the projection. We derive recurrence relations for the coefficients of the two-sided projection. Additionally, we explore the norms of both types of projections. Certain special cases are investigated in greater detail, both theoretically and numerically.

Fractal and FractionalVol. 9(7)
Taras Shevchenko National University of Kyiv (UA), University of Vaasa (FI)
Academy of Finland, Norges Forskningsråd, Japan Science and Technology Agency
Openalex Percentile: Top 80%
Financial Risk and Volatility Modeling
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