ASSESSMENT OF THE IMPACT OF AI AND MACHINE LEARNING ON PREDICTIVE ANALYTICS IN FINANCE, INCLUDING FORECASTING MARKET TRENDS AND IDENTIFYING INVESTMENT OPPORTUNITIES

This study investigates the revolutionary effect of AI and Machine Learning (ML) in improving predictive analytics in the finance sector. As financial markets get more complicated, traditional approaches for anticipating market trends and spotting investment opportunities are becoming ineffective. AI and ML provide sophisticated tools for processing massive volumes of data at unprecedented rates, resulting in more accurate and timely predictions. This study investigates how these technologies are being used in financial analytics, their impact on market trend predictions, and their potential to transform investment strategies. The paper examines case studies and contemporary applications to highlight the benefits, difficulties, and future prospects of AI-driven predictive analytics in banking. According to the findings, AI and machine learning considerably improve forecasting accuracy and investment decision-making.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-23
DOI
https://doi.org/10.5281/zenodo.13828137
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
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article

ASSESSMENT OF THE IMPACT OF AI AND MACHINE LEARNING ON PREDICTIVE ANALYTICS IN FINANCE, INCLUDING FORECASTING MARKET TRENDS AND IDENTIFYING INVESTMENT OPPORTUNITIES

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
article

ASSESSMENT OF THE IMPACT OF AI AND MACHINE LEARNING ON PREDICTIVE ANALYTICS IN FINANCE, INCLUDING FORECASTING MARKET TRENDS AND IDENTIFYING INVESTMENT OPPORTUNITIES

article en

Abstract

This study investigates the revolutionary effect of AI and Machine Learning (ML) in improving predictive analytics in the finance sector. As financial markets get more complicated, traditional approaches for anticipating market trends and spotting investment opportunities are becoming ineffective. AI and ML provide sophisticated tools for processing massive volumes of data at unprecedented rates, resulting in more accurate and timely predictions. This study investigates how these technologies are being used in financial analytics, their impact on market trend predictions, and their potential to transform investment strategies. The paper examines case studies and contemporary applications to highlight the benefits, difficulties, and future prospects of AI-driven predictive analytics in banking. According to the findings, AI and machine learning considerably improve forecasting accuracy and investment decision-making.

Zenodo (CERN European Organization for Nuclear Research)
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Stock Market Forecasting Methods
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