Results 131 to 140 of about 4,427 (216)

Robo-investment aversion. [PDF]

PLoS One, 2020
Niszczota P, Kaszás D.
europepmc   +1 more source

Prediction of robo-advisory acceptance in banking services using tree-based algorithms. [PDF]

PLoS One
Orzeszko W, Piotrowski D.
europepmc   +1 more source

Advice from artificial intelligence: a review and practical implications. [PDF]

Front Psychol
Baines JI, Dalal RS, Ponce LP, Tsai HC.
europepmc   +1 more source

Editorial: Applications of AI and machine learning in finance and economics. [PDF]

Front Artif Intell
Paccagnini A, Iannario M, Osterrieder J, Perrotta A, Parla F, Skaftadóttir HK.   +5 more
europepmc   +1 more source

Editorial: Financial Intermediation Versus Disintermediation: Opportunities and Challenges in the FinTech Era. [PDF]

Front Artif Intell, 2020
Duygun M, Hashem SQ, Tanda A.
europepmc   +1 more source

Evaluating the investment performance of Japanese households: A comparison between professional financial advice and free financial advice. [PDF]

Heliyon
Kadoya Y, Lal S, Shinohara J, Rahim Khan MS.   +3 more
europepmc   +1 more source

Improving Financial Literacy Using the Medical Mini-MBA at a Canadian Medical School. [PDF]

Cureus, 2022
Poon E, Bissonnette P, Sedighi S, MacNevin W, Kulkarni K.   +4 more
europepmc   +1 more source

Understanding EFL learners' excessive use of translation software: An extension of the flow theory. [PDF]

PLoS One
Yang S.
europepmc   +1 more source

Towards a Taxonomy of Robo-Advisors

, 2018
This paper examines the basics of Robo-Advisors, attempts a definition, and lays the necessary groundwork for analyzing both, regulation and contractual relationship between robots-related participants and the attribution of liabilities among them. The objective of this study is to offer a taxonomy of the Robo-Advisory industry and, in order to achieve
openaire   +1 more source