Predicting the Unpredictable: A Smarter Approach to Financial Forecasting
![The process recursively forecasts using a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model integrated with a Fuzzy Inference System (FIS), enabling iterative refinement of predictions through a feedback loop defined by [latex] GARCH(p,q) [/latex] parameters and fuzzy logic rules.](https://arxiv.org/html/2603.14793v1/x1.png)
A new hybrid model combines the strengths of volatility modeling and fuzzy logic to deliver improved accuracy in financial time series prediction.
![The process recursively forecasts using a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model integrated with a Fuzzy Inference System (FIS), enabling iterative refinement of predictions through a feedback loop defined by [latex] GARCH(p,q) [/latex] parameters and fuzzy logic rules.](https://arxiv.org/html/2603.14793v1/x1.png)
A new hybrid model combines the strengths of volatility modeling and fuzzy logic to deliver improved accuracy in financial time series prediction.

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