Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/123456789/9512
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dc.contributor.advisorPallathitta, Rejie George
dc.contributor.authorNair, Ketki
dc.date.accessioned2017-09-07T06:27:38Z
dc.date.accessioned2019-03-18T09:28:19Z-
dc.date.available2017-09-07T06:27:38Z
dc.date.available2019-03-18T09:28:19Z-
dc.date.issued2017
dc.identifier.urihttp://repository.iimb.ac.in/handle/123456789/9512
dc.description.abstractThe financial advisory industry is proceeding towards automation wherein, the portfolio recommendation and rebalancing is done through an automated algorithm. This business model is called as Robo-advisory. Robo-advisors are disruptive forces in the advisory industry and are aimed at targeting the untapped investor segment which is the retail investor. Institutional investors are tapped by regional and national distributors, and HNIs and Ultra-HNIs are tapped by family offices and private banking. And although, IFAs and retail banking are focussing on retail investors, these business models are constrained by their geographic reach and scalability. Also, sustainability becomes a challenge given the small investment amount of these investors, and substantial capital investment. Hence, robo-advisory owing to its DIY (Do-It-Yourself) model is the best fit for this investor segment; since, it has the potential to flourish with comparatively minimal capital requirement.
dc.language.isoen_US
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGPEM-PR-P17-14-
dc.subjectFinancial management
dc.titleRobo advisory systems: the Indian perspective
dc.typeProject Report-PGPEM
dc.pages45p.
Appears in Collections:2017
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