Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16395
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DC Field | Value | Language |
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dc.contributor.author | Dinanath, Chaskar Raj | - |
dc.contributor.author | Badjatia, Astha | - |
dc.date.accessioned | 2024-07-22T03:56:06Z | - |
dc.date.available | 2024-07-22T03:56:06Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | 60p. | en_US |
dc.identifier.uri | https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16395 | - |
dc.description.abstract | these professionals enable individual investors to receive personalized guidance and recommendations on investing in the capital markets. Unfortunately, due to the high costs associated with their traditional advisory service and the limited access of many to the service, a huge portion of the population of ordinary investors have not been able to enjoy professional investment and financial planning support to date. As such, Elite Robo-Advisors may present a potential solution to this problem. Robo-Advisors can be defined as automated investment services that utilize sophisticated algorithms, data analytics, and modern technology to create automated advanced data-driven algorithm for investment management and financial planning that automate a significant amount of the traditional tasks accomplished by human advisors, The cost of the same service by Robo-Advisors will be very low compared to human advisors and it will be very accessibility for the individual investors. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Alliance School of Business, Alliance University | en_US |
dc.relation.ispartofseries | 2022MMBA07ASB133 | - |
dc.subject | Capital Markets | en_US |
dc.subject | Modern Technology | en_US |
dc.subject | Robo-Advisors | en_US |
dc.subject | Management | en_US |
dc.title | Robo Advisors In Investment Management | en_US |
dc.type | Other | en_US |
Appears in Collections: | Dissertations - Alliance School of Business |
Files in This Item:
File | Size | Format | |
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2022MMBA07ASB133.pdf Restricted Access | 3.28 MB | Adobe PDF | View/Open Request a copy |
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