Results 151 to 160 of about 81,753 (203)

Predicting the Bitcoin's price using AI. [PDF]

Front Artif Intell
Cohen G, Aiche A.
europepmc   +1 more source

Design of Interoperable Electronic Health Record (EHR) Application for Early Detection of Lung Diseases Using a Decision Support System by Expanding Deep Learning Techniques.

Open Respir Med J
G J, R S, Ravi V, Mallu S, Alahmadi TJ.
europepmc   +1 more source

Current Trends for Robo-Advisors

openaire   +1 more source

Robo-Advisors: A Systematic Literature Review

Finance Research Letters
Using a systematic literature review, our study analyzes articles on robo-advisors between 2017 and 2022. Our review identifies four relevant research streams: early classification of robo advisors, behavioral topics, performance, and algorithm modelization.
Helen Chiappini, Giovanni Cardillo
exaly   +3 more sources

Robo-Advisors and Investment Intention: A Perspective of Value-Based Adoption

Information and Management, 2023
International audienceFinancial robo-advisors have been widely used to assist individuals in their investment decisions, making it important to reduce uncertainties in the assistance process.
Qian Chen, Yeming Gong, Xianpei Hong
exaly   +2 more sources

Algorithm Aversion as an Obstacle in the Establishment of Robo Advisors

Journal of Risk and Financial Management, 2022
Within the framework of a laboratory experiment, we examine to what extent algorithm aversion acts as an obstacle in the establishment of robo advisors. The subjects had to complete diversification tasks. They could either do this themselves or they could delegate them to a robo advisor.
Markus Spiwoks, İbrahim Filiz, Marco Lorenz   +2 more
exaly   +4 more sources

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Robo Advisors

The rise of the metaverse demands a time of transformation, altering mortal ties and visitors in virtual environments. In the context of the metaverse, robo-advisors are autonomous digital systems designed to assist consumers with financial advice, as a result of the fusion of artificial intelligence and fiscal technology.
Elke Strauß, Markus Bramberger
  +4 more sources

Who Are Robo-Advisor Users?

Journal of Finance Issues, 2019
The purpose of this study is to explore the demand for robo-advising services by analyzing the participants’ behavioral characteristics and investment patterns. With the 2015 Financial Industry Regulatory Authority Investor data, we found that robo-advisor users were younger investors with high risk tolerance, whose self-assessment of financial ...
Kim, Seongsu David, Cotwright, Marty, Chatterjee, Swarn   +2 more
openaire   +2 more sources

A Portfolio Selection Model for Robo-Advisor

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
In order to build a portfolio selection model for a robo-advisor, which can be used on ETFs of mainland China and get the efficient frontier, a number of models based on the mean-variance model are studied and analyzed experimentally, the results show that the hybrid model using Hopfield neural network and genetic algorithm can output efficient ...
Liping Chen, Kun Liu, Yanwei Wang, Haoming Zhang   +3 more
openaire   +2 more sources

Robo-advisor and Expert Advisor

2021
A robo-advisor is an investment advisor based on core artificial intelligence technology. The technology encompasses perceptual intelligence, related to human sensory awareness such as vision and hearing; and cognitive intelligence, linked to human language, understanding and logic, such as learning, reasoning, thinking, and planning.
Dawei Zhao, Wenting Zhang
openaire   +1 more source