Predictive Analytics in Finance: Leveraging AI and Machine Learning for Market Forecasting

Predictive Analytics in Finance: Leveraging AI and Machine Learning for Market Forecasting

Vikas Sharma (Bhikaji Cama Subharti College of Hotel Management, Swami Vivekanand Subharti University, Meerut, India), Basant Sah (Department of CSE, Koneru Lakshmaiah Education Foundation, Guntur, India), Neha Sahni (Banarsidas Chandiwala Institute of Hotel Management and Catering Technology, New Delhi, India), and Ramya Palaniappan (Madanapalle Institute of Technology and Science, India)
Copyright: © 2025 |Pages: 18
DOI: 10.4018/979-8-3693-8507-4.ch030
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Abstract

This research paper delves into the transformative role of predictive analytics in finance, specifically focusing on leveraging artificial intelligence (AI) and machine learning (ML) for market forecasting. The financial industry is increasingly turning to AI and ML to gain a competitive edge by accurately predicting market trends and making informed investment decisions. This study provides a comprehensive overview of various machine learning models and AI techniques applied in market forecasting, including time series analysis, neural networks, and natural language processing. Through a detailed examination of real-world applications and case studies, the paper highlights how these advanced technologies can enhance the precision and reliability of financial forecasts. By exploring the latest advancements and future trends in AI and ML, this paper aims to offer valuable insights for financial analysts, investors, and policymakers seeking to harness the power of predictive analytics in the ever-evolving financial landscape.
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