Artificial intelligence in financial decision-making: Enhancing portfolio management and risk assessment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F26%3A0199692" target="_blank" >RIV/00216305:26510/26:0199692 - isvavai.cz</a>
Result on the web
<a href="https://economic-policy.pl/eq/article/view/3884" target="_blank" >https://economic-policy.pl/eq/article/view/3884</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24136/eq.3884" target="_blank" >10.24136/eq.3884</a>
Alternative languages
Result language
angličtina
Original language name
Artificial intelligence in financial decision-making: Enhancing portfolio management and risk assessment
Original language description
This paper examines how artificial intelligence (AI) is transforming financial decision-making, focusing on portfolio management and risk assessment. AI enables dynamic data integration, real-time strategy adjustment, and improved risk prediction, surpassing traditional financial models. The study highlights both the benefits and challenges of AI adoption, including the need for explainable models and ethical oversight to ensure resilient and competitive financial practices.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50201 - Economic Theory
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Equilibrium
ISSN
1689-765X
e-ISSN
2353-3293
Volume of the periodical
20
Issue of the periodical within the volume
3
Country of publishing house
PL - POLAND
Number of pages
13
Pages from-to
863-875
UT code for WoS article
001609554600001
EID of the result in the Scopus database
2-s2.0-105021579954