Results 51 to 60 of about 223,859 (164)

Unveiling the key enablers of robo advisor using fuzzy-AHP approach: A decision-making framework

Journal of Open Innovation: Technology, Market and Complexity
Robo-Advisor is bringing a paradigm shift in the coming financial markets, changing the way individuals make investments. Based on algorithms and data, robo advisors helps in making informed financial decisions without human interventions.
Tahseen Arshi, Laxmi Pandey, Naveen Virmani, Dimple Bhandari, Sandeep Jagtap   +4 more
doaj   +1 more source

The Evolution of Portfolio Theory Under Risk & Uncertainty: From Mean–Variance to AI‐Augmented Investing

Journal of Economic Surveys, EarlyView.
ABSTRACT This article summarizes the evolution of portfolio theory from mean–variance optimization to AI‐augmented investment systems. Rather than treating portfolio models as isolated techniques, it organizes the literature as a sequence of responses to different forms of uncertainty: variance, systematic risk, expected‐return estimation error ...
Xuan Feng, Sofia Yang
wiley   +1 more source

Application of Artificial Intelligence in FinTech: The Decision of Youth Investors to use Robo-Advisor Platform as Micro-investing Alternative [PDF]

, 2022
In light of the emergence of artificial intelligence in financial technology and the fourth industrial revolution, this study aims to propose a research framework on the decision of youth investors in Malaysia to use robo-advisors.
Abd Hamid, Nor Harlina, Ruslan, Rafiatul Adlin Hj Mohd, Ibrahim, Muhammad Azman   +2 more
core   +1 more source

Cognitive biases, Robo advisor and investment decision psychology: An investor's perspective from New York stock exchange

Acta Psychologica
Investment decision making is a systematic process that becomes complex due to cognitive biases and risk perceptions. For rational investment decision making, the investors in the New York Stock Exchange (NYSE) tend to seek automated investment solutions
Usman Ahmad, Maurice Van Keulen, Alexia Briassouli, Muhammad Saad   +3 more
doaj   +1 more source

The Potentials and Challenges of Decision Support System for Islamic Banking and Finance

European Journal of Islamic Finance, 2022
Decision Support System (DSS) refers to computer systems designed to help with decision making process. DSS usage are now common in both personal and commercial decision making; including those related to the Islamic faith.
Othman Abdullah, Amir Shaharuddin, Muhamad Azhari Wahid, Mohd Shukor Harun   +3 more
doaj   +1 more source

Toward an Audience‐Based View of Incumbent Adoption of Potentially Discontinuous Technologies: Evidence From Fintech

Journal of Product Innovation Management, EarlyView.
ABSTRACT We advance an audience‐based view of incumbent adoption of potentially discontinuous technologies. Drawing on theories of discursive institutional processes and categorical legitimacy, we model how incumbents navigate mixed judgments from external groupings in their environment, that is, audiences, when adopting prospective discontinuous ...
Tatjana Schneidmüller, Mariano L. M. Heyden, Lane Matthews, Henk W. Volberda   +3 more
wiley   +1 more source

Customer Trust and Satisfaction with Robo-Advisor Technology

, 2023
Can robo-advisors be trusted? Gaining customer trust in financial technology (Fintech) and artificial intelligence technology in particular can prove to be challenging (Lui & Lamb, 2018a).
Senteio, Stephen M
core   +1 more source

Robo Advisor, Bias Perilaku, Investor Muda, dan Investment Decision Making [PDF]

, 2022
Fenomena kenaikan jumlah investor yang terjadi pada tahun 2021 berdampak pada perkembangan jumlah Single Investor Identification. Tujuan penelitian ini yaitu mengetahui pengaruh bias perilaku overconfidence dan loss aversion terhadap keputusan ...
Liangga, Victor Marcelino
core   +2 more sources

Robust Mean–Variance Portfolio Optimization: Mean–Variance–Variance Criterion Versus Mean–Variance–Standard Deviation Criterion

Mathematical Finance, EarlyView.
ABSTRACT We study a dynamic portfolio optimization problem under the mean–variance–variance (M‐V‐V) criterion proposed by Maccheroni et al. It is an analogue of the Arrow–Pratt approximation to the well‐known smooth ambiguity model. Under the standard Black–Scholes framework, we derive fully explicit equilibrium investment strategies in which a DM's ...
David Landriault, Bin Li, Yuanyuan Zhang
wiley   +1 more source

Regulating Robo-Advisors in Insurance Distribution: Lessons from the Insurance Distribution Directive and the AI Act

Risks, 2023
Insurance distributors are increasingly using robo-advisors for a variety of tasks, ranging from facilitating communication with customers to providing substantive advice.
Pierpaolo Marano, Shu Li
doaj   +1 more source