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Transforming Investment Management Strategies: The Impact of Intelligent Systems on Modern Financial Planning Utilizing Robo-Advisors

In: AI in Finance Shaping the Future of Intelligent Automation and Financial Services

Author

Listed:
  • Manik Rakhra
  • Tiyas Sarkar

Abstract

In recent years, the introduction of new communication technologies and the internet has facilitated the rise of robo-advisors powered by artificial intelligence (AI), allowing people to approach investment management in a completely different way. This research assesses the paradigm shift that AI provides in the field of personal finance regarding the aspects of investment planning, risk assessment, and portfolio management. Robo-advisors manage investments passively on behalf of clients, relying on intelligent algorithms and requiring minimal human input. This research aims to conduct a comprehensive analysis of the core technologies that form the basis of robo-advisors, focusing on the AI technologies that enable active index to create accurate, tailored portfolios. After reviewing the literature, we discuss the recent trends in financial advisory systems that combine AI and big data analytics. In addition, we consider an original model that is focused on improving the performance of robo-advisors through the integration of advanced AI technologies. The improvement in decision-making accuracy and effective portfolio management practices using real data is astonishing in our proposed framework, as the results of our analysis show. Our analysis emphasizes the benefits of AI-powered robo-advisors when compared with conventional robo-advisors in adapting the investment approach to meet the specific goals of individual users. This study represents a further step in the debate concerning the impact of AI on personal finance, as it demonstrates both what is possible and what is not. Addressing the issue of combining technological advancements with finance, this study shows how AI can help improve and make investment management more accessible to everyone.

Suggested Citation

  • Manik Rakhra & Tiyas Sarkar, 2026. "Transforming Investment Management Strategies: The Impact of Intelligent Systems on Modern Financial Planning Utilizing Robo-Advisors," World Scientific Book Chapters, in: Krishan Arora & Himanshu Sharma (ed.), AI in Finance Shaping the Future of Intelligent Automation and Financial Services, chapter 4, pages 71-88, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9781800618428_0004
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    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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