EconPapers    
Economics at your fingertips  
 

APPLICATION OF BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE IN BANK RISK MANAGEMENT

Plamen Dzhaparov ()
Additional contact information
Plamen Dzhaparov: Department of Finance, University of Economics – Varna

Economics and Management, 2020, vol. 17, issue 1, 43-57

Abstract: The transformation from analogue to digital risk management is becoming a prerequisite in the implementation of the incresingly digital bank institutions’ strategies. Among the key steps in this direction is the optimal use of blockchain technology’s potential and artificial intelligence. Huge hopes are set on blockchain in view of two key risks facing today’s banks: the danger of using the bank system for money laundering and financing terrorism, and cyberattack threat. Artificial intelligence, in turn, creates conditions for processing large arrays of unstructured data risk, more precise identification of potential problems in the future, full automation of manual processes in risk function, credit scoring automation, developing adequate market risk assessment models, etc.

Keywords: banks; blockchain; artificial intelligence; digitalization; risk management (search for similar items in EconPapers)
JEL-codes: G21 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://em.swu.bg/images/SpisanieIkonomikaupload/Sp ... sue_1_2020-43-57.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:neo:journl:v:17:y:2020:i:1:p:43-57

Access Statistics for this article

More articles in Economics and Management from Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD Contact information at EDIRC.
Bibliographic data for series maintained by Vladislav Krastev ().

 
Page updated 2025-03-19
Handle: RePEc:neo:journl:v:17:y:2020:i:1:p:43-57