Modeling a Financial System with Memory via Fractional Calculus and Fractional Brownian Motion

By Patrick Geraghty

Rating

1307
Battle Count: 170

Relevance

7/10
Provides novel approach to modeling market memory effects, potentially useful for long-term trend analysis and risk assessment

Implementation Complexity

8/10
Requires advanced knowledge of fractional calculus and stochastic processes; computationally intensive simulations

Reproducibility

3/5
Methodology is well-described, but implementation details and specific parameters are not fully provided

About this paper

Methodology: Fractional Langevin Equation. Problem types: Time Series Forecasting, Financial Modeling.

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