A Joint Approach to Data Clustering and Robo-Advisor

The financial services sector has undergone a significant paradigm shift in recent times due to the advent of artificial intelligence and robo-advisors. Portfolio management services, wealth management services, retirement planning, and investment allocation are few services catered by such robo-assisted automated investment platforms. It focused on examining the relative performance of robo-assisted automated investment advisor and human advisors under the segment of portfolio management and wealth management, with a particular focus on their capacity to generate higher returns. To enlighten about the rising trend of robo-advisor in portfolio management, the research methodology includes quantitative method and information from secondary sources. The study aims to ascertain the determinants that impact investor inclinations towards human advisors or robo-advisors. The study facilitates investors, financial institutions, and policymakers with recommendations and insights derived from research discoveries.

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A Joint Approach to Data Clustering and Robo-Advisor

Cited by 2 publications

References 34 publications

A Virtual Wallet Product Recommender System Based on Collaborative Filtering

A Virtual Wallet Product Recommender System Based on Collaborative Filtering

Are Robo-Advisors Revolutionizing Portfolio Management for Enhanced Returns Over Human Advisors?

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