Advanced Techniques in Predictive Analytics for Financial Services

Abstract

Predictive analytics in financial services is rapidly evolving with advancements in machine learning, time series modeling, and big data analytics. This paper explores state-of-the-art techniques, emphasizing methods such as deep learning, NLP, and real-time analytics. It further examines ethical and regulatory implications, challenges, and emerging trends, aiming to provide insights for industry professionals and researchers