Journal of Technology Informatics and Engineering
Vol. 4 No. 2 (2025): AUGUST | JTIE : Journal of Technology Informatics and Engineering

News-Based Uncertainty and Macro-Market Fusion for VIX Direction Forecasting: Evidence from 2015-2024 FRED Panel

Hailin Zhou (Applied Analytics, Columbia University, NY, USA)
Kai Zhang (Financial Engineering, Baruch College, NY, USA)



Article Info

Publish Date
25 Aug 2025

Abstract

This paper evaluates news-based uncertainty and macro-market fusion for one-trading-day VIX direction forecasting using a 2015-2024 daily FRED panel. The dependent variable equals one when the next trading-day VIX close exceeds the current close. The final panel contains 2,512 processed observations from 2015-02-04 to 2024-12-30, with 1,997 training observations from 2015-2022, 257 validation observations in 2023, and 258 holdout observations in 2024. The feature set combines VIX market-state variables, the daily newspaper-based Economic Policy Uncertainty index, the effective federal funds rate, 10-year and 2-year Treasury yields, lagged CPI inflation, lagged unemployment, and interaction terms. Expanding cross-validation on the 2015-2022 training sample gives the highest average ROC AUC to Fusion Random Forest (0.5620). The 2023 validation window selects a weighted fusion ensemble with ROC AUC 0.6005; its weights are fixed before the 2024 test. In the 2024 holdout window, VIX-only Logistic achieves the highest one-day ROC AUC (0.5869) and F1 (0.5448), while the weighted fusion ensemble reaches ROC AUC 0.5638 and F1 0.4786. Event-window diagnostics show that EPU shocks following calm VIX states have a next-day VIX-up rate of 0.5672, compared with 0.4445 on other trading days. The findings support a cautious interpretation: news-based uncertainty contains conditional information, but one-day practical forecasting reliability remains modest and VIX state variables remain the strongest 2024 holdout benchmark.

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Journal Info

Abbrev

jtie

Publisher

Subject

Computer Science & IT

Description

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