Impact of Artificial Intelligence on Automated Portfolio Management and  Risk Assessment

Deshpande Kashmira Arvind , Sanjeev Thakur

Impact of Artificial Intelligence on Automated Portfolio Management and Risk Assessment

Authors

Deshpande Kashmira Arvind , Sanjeev Thakur

Keywords:

Artificial Intelligence, Portfolio Management, Risk Assessment, Machine Learning, LSTM, Sharpe Ratio

Abstract

The world of investment management has changed in a big way over the last few years, and alarge part of this change has been driven by artificial intelligence. What used to be a job done mostly by human portfolio managers, sitting with spreadsheets and reading market reports, isnow increasingly being handled by algorithms that can process

References

: Mayank Atreya, Navin Chhibber, Harvendra Singh, Explainable Machine Learning For Dynamic Pricing In Fast-Changing Retail Environments, 2022/4/9, Journal ,Available at SSRN 6011354, https://scholar.google.com/citations?view_op=view_citation&hl=en&user=fyViF1UAAAAJ&citation_for_view=fyViF1UAAAAJ:LkGwnXOMwfcC.

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Published

2024-05-15

How to Cite

Deshpande Kashmira Arvind , Sanjeev Thakur. (2024). Impact of Artificial Intelligence on Automated Portfolio Management and Risk Assessment. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3764–3775. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5647