{"id":4146,"date":"2026-07-22T11:32:39","date_gmt":"2026-07-22T06:02:39","guid":{"rendered":"https:\/\/journal.ipem.edu.in\/management\/?page_id=4146"},"modified":"2026-07-29T14:14:38","modified_gmt":"2026-07-29T08:44:38","slug":"integrating-artificial-intelligence-and-machine-learning-in-predictive-finance-for-enhanced-forecasting-and-risk-mitigation","status":"publish","type":"page","link":"https:\/\/journal.ipem.edu.in\/management\/integrating-artificial-intelligence-and-machine-learning-in-predictive-finance-for-enhanced-forecasting-and-risk-mitigation\/","title":{"rendered":"Integrating Artificial Intelligence and Machine Learning in Predictive Finance for Enhanced Forecasting and Risk Mitigation"},"content":{"rendered":"\t\t
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Integrating Artificial Intelligence and Machine Learning in Predictive Finance for Enhanced Forecasting and Risk Mitigation<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t Dr. Madhav Saraswat , Ms. Shallu<\/em><\/a>,\r\n\r\n\r\n\r\n\r\n

Vol 20 , Issue 1 , July 2026<\/a> | <\/span>Pages: 72-82\r\n <\/p>\r\n \r\n \r\n\t

DOI: 10.61691\/IPEM_Mgmt.20.2026.72-82 <\/a><\/p>\r\n\r\n

Published Online: July, 2026<\/span><\/p>\r\n

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  • \n \n \n \n Author Affiliations<\/span> <\/li>\n
  • \n \n \n \n Abstract<\/span> <\/li>\n
  • \n \n \n \n References<\/span> <\/li>\n
  • \n \n \n \n Citation<\/span> <\/li>\n <\/ul>\n <\/div>\n \n
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    Author Details<\/b><\/p>

    1. Dr. Madhav Saraswat
      Assistant Professor, Institute of Business Studies, ChaudharyCharan Singh University, Meerut, Uttar Pradesh, India
      Email ID: saraswat.madhav@gmail.com<\/p><\/li>

    2. Ms. Shallu
      Research Scholar, Institute of Business Studies, ChaudharyCharan Singh University, Meerut, Uttar Pradesh, India
      Email ID: shallutaneja94@gmail.com<\/p><\/li><\/ol><\/div><\/div> <\/div>\n\t\t \n

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      This study employs Artificial Intelligence (AI) and Machine Learning (ML) methodologies to develop advanced predictive finance strategies aimed at enhancing the accuracy of financial forecasting, improving risk assessment and supporting data-driven investment decision-making. In order to provide companies with the ability to forecast market swings, improve resource allocation and build financial resilience, the study aims to integrate traditional financial modelling with data-driven predictive analytics. The research employs quantitative and experimental methodology, including some of the most advanced machine learning techniques, such as Random Forest, Gradient Boosting and Long Short-Term Memory (LSTM) networks, in order to forecast time-series data pertaining to the financial sector. Python-based frameworks are utilized in order to investigate historical datasets derived from stock indexes, macroeconomic indicators and business performance reports. Both Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) are employed to evaluate the models performance subsequent to k-fold cross-validation – based training and validation.In addition, the predictive power of the models is improved through the utilization of sentiment analysis of financial news and trends in social media. When compared to more conventional methods, it is predicted that the study will demonstrate a significant improvement in terms of both the accuracy of predictions and the management of risks. The predictive framework that has been built will make it easier for investors, politicians and financial institutions to make decisions based on data. The paper makes the proposition that the combination of artificial intelligence and financial analytics will result in increased transparency, efficiency and sustainability within the financial systems. This will ultimately lead to the development of more intelligent investment ecosystems.<\/p>

      Keywords<\/strong> – Predictive Analytics, Financial Forecasting, Machine Learning, Risk Management, Artificial Intelligence<\/p> <\/div>\n\t\t \n

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      [1] S. Singireddy, B. Adusupalli, A. Pamisetty, S. Mashetty and P. K. Kaulwar, “Redefining Financial Risk Strategies: The Integration of Smart Automation, Secure Access Systems and Predictive Intelligence in Insurance, Lending and Asset Management,” Journal of Artificial Intelligence and Big Data Disciplines, vol. 1, no. 1, pp. 109\u2013123, 2024, doi: 10.70179\/k86dcv60.<\/p>

      [2] S. Alfzari, M. Al-Shboul and M. T. Alshurideh, “Predictive Analytics in Portfolio Management: A Fusion of AI and Investment Economics for Optimal Risk-Return Trade-Offs,” International Review of Management and Marketing, vol. 15, no. 2, pp. 365\u2013380, 2025, doi: 10.32479\/irmm.18594.<\/p>

      [3] K. W. Ng, “Smart Finance Unleashed: AI-Driven Predictive Analytics and Risk Management in Finance,” Journal of Hunan University Natural Sciences, vol. 52, no. 5, pp. 26\u201344, 2025, doi: 10.55463\/issn.1674-2974.52.5.3.<\/p>

      [4] A. S. Ogunmokun, E. D. Balogun and K. O. Ogunsola, “A Conceptual Framework for AI-Driven Financial Risk Management and Corporate Governance Optimization,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 772\u2013780, 2021, doi: 10.54660\/.IJMRGE.2021.2.1.772-780.<\/p>

      [5] P. Vijayakumar, S. Vijayalakshmi, L. M. Simon, M. Rajalakshmi, N. Sundarapandiyan and D. N., \u201cThe Role of AI in Financial Forecasting and Risk Management in Commercial Enterprises,\u201d International Journal of Humanities Education, vol. 13, no. 1, pp. 158\u2013172, 2025.<\/p>

      [6] B. Saha, “AI-Driven Predictive Analytics for Financial Risk Management and Financial Risk Prevention with Ranking Cost Scheduling,” International Journal of Advance Research and Innovation, vol. 13, no. 1, pp. 12\u201322, 2025, doi: 10.69996\/ijari.2025002<\/p>

      [7] A. G. Olanrewaju, “Artificial Intelligence in Financial Markets: Optimizing Risk Management, Portfolio Allocation and Algorithmic Trading,” International Journal of Research Publication and Reviews, vol. 6, no. 3, pp. 8855\u20138870, 2025, doi: 10.55248\/gengpi.6.0325.12185.<\/p>

      [8] T. Hassan, “Augmented Analytics in Financial Forecasting: Enhancing Risk Management and Investment Strategies Through AI Driven Insights,” SSRN Electronic Journal, 28\u202fpp., 2025. Available: https:\/\/ssrn.com\/abstract=5179431.<\/p>

      [9] S. Singireddy, B. Adusupalli, A. Pamisetty, S. Mashetty and P. K. Kaulwar, “Redefining Financial Risk Strategies: The Integration of Smart Automation, Secure Access Systems and Predictive Intelligence in Insurance, Lending and Asset Management,” Journal of Artificial Intelligence and Big Data Disciplines, vol. 1, no. 1, pp. 109\u2013123, 2024, doi: 10.70179\/k86dcv60<\/p>

      [10] K.\u202fHussain, \u201cHarnessing AI for Predictive Accuracy in Financial Forecasting and Risk Assessment,\u201d ResearchGate, Nov. 2023 (uploaded Sep. 2024),<\/p>

      doi:\u202f10.13140\/RG.2.2.17070.73281.<\/p>

      [11] M.\u202fFahrezi, \u201cA Systematic Literature Review: The Use of Artificial Intelligence and Machine Learning in Financial Risk Management and Predictive Analytics,\u201d International Journal of Research and Applied Technology (INJURATECH), vol. 4, no. 1, pp. 211\u2013223, 2024.<\/p>

      [12] M.\u202fMwangi, \u201cThe Role of Machine Learning in Enhancing Risk Management Strategies in Financial Institutions,\u201d International Journal of Modern Risk Management, vol. 2, no. 1, pp. 44\u201353, 2024, doi: 10.47604\/ijmrm.2643.<\/p>

      [13] G. F. Asere and K. A. Nuga, \u201cExamining the Potential of Artificial Intelligence and Machine Learning in Predicting Trends and Enhancing Investment Decision Making,\u201d Scientific Journal of Engineering and Technology, vol. 1, no. 1, pp. 15\u201320, 2024, doi: 10.69739\/sjet.v1i1.16.<\/p>

      [14] U. N. Chukwukaelo, R. P. Igbojioyibo and J. K. Abu, \u201cThe Role of Machine Learning in Enhancing Corporate Financial Planning,\u201d Asian Journal of Economics, Business and Accounting, vol. 24, no. 11, pp. 22\u201332, 2024, doi: 10.9734\/ajeba\/2024\/v24i111540.<\/p>

      [15] T.\u202fJ. Oladuji, A.\u202fO. Akintobi, C.\u202fR. Nwangele and A. Ajuwon, \u201cA Model for Leveraging AI and Big Data to Predict and Mitigate Financial Risk in African Markets,\u201d International Journal of Advanced Multidisciplinary Research and Studies, vol.\u202f3, no.\u202f6, pp. 1843\u20131859, 2023, doi:\u202f10.62225\/2583049X.2023.3.6.4404.<\/p>

      [16] S. R. Challa, \u201cArtificial Intelligence and Big Data in Finance: Enhancing Investment Strategies and Client Insights in Wealth Management,\u201d International Journal of Science and Research (IJSR), vol. 12, no. 12, pp. 2230\u20132246, 2023.<\/p>

      [17] J. Singireddy, \u201cFinance\u202f4.0: Predictive Analytics for Financial Risk Management Using AI,\u201d European Journal of Analytics and Artificial Intelligence, vol. 1, no. 1, pp. 1\u201319, 2023.<\/p>

      [18] N. Rane, S. Choudhary and J. Rane, \u201cLeading\u2011edge Artificial Intelligence (AI)-Powered Financial Forecasting for Shaping the Future of Investment Strategies,\u201d SSRN preprint, Oct. 31, 2023. Available: https:\/\/ssrn.com\/abstract=4640828.<\/p>

      [19] O.\u202fO. Elumilade, H.\u202fE. Omokhoa and B.\u202fM. Omowole, \u201cThe Role of Data Analytics in Strengthening Financial Risk Assessment and Strategic Decision\u2011Making,\u201d Iconic Research and Engineering Journals, vol. 6, no. 10, 2023. Available: https:\/\/www.irejournals.com\/paper-details\/1704359.<\/p>

      [20] S.\u202fFritz-Morgenthal, B. Hein and J. Papenbrock, \u201cFinancial Risk Management and Explainable, Trustworthy, Responsible AI,\u201d Frontiers in Artificial Intelligence, vol. 5, 2022, Art. 779799, pp. 1\u201314, doi:\u202f10.3389\/frai.2022.779799.<\/p>

      [21] S.\u202fKannan, \u201cThe Role of AI and Machine Learning in Financial Services: A Neural Network-based Framework for Predictive Analytics and Customer-Centric Innovations,\u201d Migration Letters, vol. 19, no. 6, pp. 1205\u20131220, Dec. 2022.<\/p>

      [22] V. Pamisetty, L. Pandiri, S. Singireddy, V. Narasareddy and H.\u202fK. Sriram, \u201cLeveraging AI, Machine Learning and Big Data for Enhancing Tax Compliance, Fraud Detection and Predictive Analytics in Government Financial Management,\u201d Migration Letters, vol.\u202f19, no. S5, pp. 1770\u20131784, 2022.<\/p>

      [23] V. Bogojevi\u0107 Arsi\u0107, \u201cChallenges of Financial Risk Management: AI Applications,\u201d Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, vol. 26, no. 3, pp. 27\u201334, 2021, doi: 10.7595\/management.fon.2021.0015<\/p> <\/div>\n\t\t \n

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