UGC Approved Journal no 63975(19)

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Volume 11 Issue 1
January-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2401741


Registration ID:
535852

Page Number

h386-h389

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Title

A NOVEL APPROACH TO DECODING FINANCIAL MARKETS: THE EMERGENCE OF AI IN FINANCIAL MODELING

Abstract

The advancement of artificial intelligence (AI) has been rapid especially in the financial sector. This paper explores the application of AI in financial modeling amid the growing financial markets to identify trends and tendencies. Traditional financial models are very often unable to recognize the subtleties and complications. Michael Porter and his fellow Harvard professors presented the value chain concept as part of their competitive strategy framework. It provides a roadmap for businesses to create long-term value for themselves and their customers [1]. Nevertheless, human intelligence can be reinforced by employing new artificial intelligence techniques, including machine learning, natural language processing and deep learning, helping analysts build models that adjust to the succeeding and emerging data in real-time. This is done by conducting comprehensive research using AI-driven financial modeling, which enables the suppression of traditional market techniques. By exploring the genesis of AI systems, the significant obstacles and suggestions of AI deployment and the recognition of actual world usage of AI in financial modeling, the text includes enough theory to discover how AI could reshape the financial sector [1]. This research explores the advances of AI-based methodologies of financial modeling that can be channeled to improve the accuracy of market analysis, forecasting, and make decision-making processes much better. Implementing AI provides financial models with the means to deal with nonlinearity relationships more effectively; they can also feed on unstructured data sources as news articles and react with flexibility to market changes. Moreover, the AI-based models show high precision and productivity, which is an attempt to eliminate the weakness of traditional methods.

Key Words

Artificial Intelligence, AI systems, Finance, Innovations, Big Data, Accounting, Business analytics, Financial Modeling, Financial Markets, Machine Learning, Predictive Analytics

Cite This Article

"A NOVEL APPROACH TO DECODING FINANCIAL MARKETS: THE EMERGENCE OF AI IN FINANCIAL MODELING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.h386-h389, January-2024, Available :http://www.jetir.org/papers/JETIR2401741.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A NOVEL APPROACH TO DECODING FINANCIAL MARKETS: THE EMERGENCE OF AI IN FINANCIAL MODELING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. pph386-h389, January-2024, Available at : http://www.jetir.org/papers/JETIR2401741.pdf

Publication Details

Published Paper ID: JETIR2401741
Registration ID: 535852
Published In: Volume 11 | Issue 1 | Year January-2024
DOI (Digital Object Identifier):
Page No: h386-h389
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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