Computational Technologies for Financial Security and Risk Management
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 4352
2. Faculty of Business, Management and Economics, University of Latvia, LV-1050 Riga, Latvia
Interests: financial technologies; financial management and asset management; risk management; compliance and regulations; corporate finance; corporate governance; audit management; financial services; behavioral economics
Special Issues, Collections and Topics in MDPI journals
Financial technology (FinTech) essentially involves financial innovations that help in deploying business strategy frameworks, processes and products. FinTech focuses on technological advancements and innovations using disruptive technologies, such as business intelligence, big data analytics, artificial intelligence, augmented reality and blockchain, with ever growing opportunities in the global market space. These disruptive technologies are supportive in nature, providing a way for more inclusive financial services at large. Financial institutions are facing many risks and challenges in their financial transactions, such as biased credit scores, the underestimation of the credit worth, the incompliance of market risk in consumer protection, fraud detection in money lending, illegal crypto markets, money laundering and cyber-attacks, all which need attention. Disruptive technologies offer smooth offshore operations across the globe. However, apart from the advantages of using disruptive technology, there is also a loop hole created within the system. Fintech monitors the performance of such risks using intelligent tools. Here, computational intelligence is capable of bridging the gap between the technical and regulatory experts protecting the interest of consumers and investors. Such implementation is possible by means of novel access control techniques, strong encryption and decryption techniques, and digital signature paradigms for securing financial data. “Computational Technologies for Financial Security and Risk Management” provide automated solutions, and thus, an approach to monitoring the performance of the regulated financial institutions.
This Special Issue aims to include research papers, review papers, frameworks, methodologies, performance analyses and in-depth surveys.
Topics may include, but are not limited to:
- Computational technologies and business models in FinTech;
- Frameworks, policies and regulations in digital asset evaluation using expert systems;
- Risk management models in FinTech and InsuTech;
- Artificial intelligence in autonomous finance instruments;
- Big data analytics in credit risk assessments;
- Systematic risk assessment for responsible finance using AI ethics;
- Blockchain technology in crypto asset management;
- AR/ VR-based innovations in augmented finance;
- Smart contracts and blockchain for digital asset management;
- Metaverse and Web3 in financial services;
- Quantum computing for secured FinTech;
- Robotic process automation in financial institutions;
- Non-fungible tokens in insurance and financial institutions;
- Zero-trust security algorithms for FinTech;
- Insights into global standards in Fintech and the banking industry.
Prof. Dr. Simon Grima
Dr. Balamurugan Balusamy
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Risks is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- financial security
- computational technologies
- risk management
- big data
- autonomous finance instruments
- artificial intelligence
- smart contracts
- digital ledger technology
- augmented finance