Vaibhav Srivastava

Volatility-adaptive temporal learning framework using hybrid ARIMA-QuadGRU attention for multi-regime financial forecasting

The results justify the proposed regime switching hybrid approach as a scalable forecasting methodology for financial time-series accounting for the regime change in market conditions and provide investors, portfolio managers, and financial analysts with a practical tool to support their investment decisions in volatil...