3 papers
cs.AI2026
QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting
Junkai Lin, Siqi Hou, Raymond Lee
Forecasting non-stationary time series remains difficult due to long-range dependencies, local volatility bursts, structural shifts, and nonlinear oscillatory behaviors. Although T…
q-fin.RM2025
FCOC: A Fractal-Chaotic Co-driven Framework for Financial Volatility Forecasting
Yilong Zeng, Boyan Tang, Xuanhao Ren +3
This paper introduces the Fractal-Chaotic Oscillation Co-driven (FCOC) framework, a novel paradigm for financial volatility forecasting that systematically resolves the dual challe…
cs.LG2025
COTN: A Chaotic Oscillatory Transformer Network for Complex Volatile Systems under Extreme Conditions
Boyan Tang, Yilong Zeng, Xuanhao Ren +4
Accurate prediction of financial and electricity markets, especially under extreme conditions, remains a significant challenge due to their intrinsic nonlinearity, rapid fluctuatio…