Trends and New Developments in FinTech

A special issue of FinTech (ISSN 2674-1032).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 8316

Special Issue Editors


E-Mail Website
Guest Editor
School of Business & Economics, The American College of Greece, Agia Paraskevi, 153 42 Athens, Greece
Interests: investments; financial econometrics

E-Mail Website
Guest Editor
Bank of Greece, 102 50 Athens, Greece
Interests: time series econometrics; applied econometrics; international finance; banking; monetary policy, time series forecasting analysis; portfolio management; financial econometrics; central bank digital currencies, financial innovation

Special Issue Information

Dear Colleagues,

A number of fintech trends are already emerging. New payment technologies balancing the three S's (speed, stability, and safety) during turbulent times, the greater integration of financial services into non-finance offering more and new convenient shopping options such as buy-now-and-pay-later (BNPL), and payment schemes, are making inroads into new digital financial investment vehicles.

This Special Issue is concerned with insights on some fintech trends that have not been examined widely to date, such as the aspects of the regulation of digital activities, the implementation of technologies on reducing carbon emissions, ESG investments by fintech, the trend towards asset tokenization and related banking activities in relation to fintech and the development of central bank digital currencies assisted by fintech. More specifically:

  • Financial innovation and technology generate financial identity fraud attempts and cybercrime, coupled with a lack of regulation, generates the need to suggest ways for an effective regulation and supervision of this digital asset market.
  • The race to limit global warming to below 2°C should be ebhanced by new technologies in order to optimally utilize renewable energy sources via fintech.
  • Innovative technologies can foster green investing through green finance and standardization of ESG disclosures. Technologies such as artificial intelligence, the Internet of Things and blockchain are particularly exciting in the context of green finance.
  • Facilitated by transparency, lower transaction costs and improved security, asset tokenization should enhance liquidity and investment opportunities. Fintech platforms are driving this trend.
  • The rapid development of new fintech has led many central banks to rethink their traditional role as overseers of the financial system and explore the development of central bank digital currencies (CBDCs).

Additional topics sought include the impact of fintech on the following:

  • P2P lending
  • Crowdfunding
  • Credit evaluation tools
  • Investment activities
  • Payments
  • Insurance
  • Supervisory and oversight issues

Prof. Dr. Nikiforos T. Laopodis
Dr. Eleftheria Kostika
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. FinTech is an international peer-reviewed open access quarterly 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 1000 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.

Keywords

  • decentralised finance
  • private digital currencies
  • PSP
  • ESG and green finance
  • innovation in portfolio theory
  • central bank digital currencies
  • RegTech
  • SupTech
  • P2P
  • MiCA

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

14 pages, 1431 KiB  
Article
Using Precious Metals to Reduce the Downside Risk of FinTech Stocks
by Perry Sadorsky
FinTech 2024, 3(4), 537-550; https://doi.org/10.3390/fintech3040028 - 25 Oct 2024
Viewed by 615
Abstract
FinTech stocks are an important new asset class that reflects the rapidly growing FinTech sector. This paper studies the practical implications of using gold, silver, and basket-of-precious-metals (gold, silver, platinum, palladium) ETFs to diversify risk in FinTech stocks. Downside risk reduction is estimated [...] Read more.
FinTech stocks are an important new asset class that reflects the rapidly growing FinTech sector. This paper studies the practical implications of using gold, silver, and basket-of-precious-metals (gold, silver, platinum, palladium) ETFs to diversify risk in FinTech stocks. Downside risk reduction is estimated using relative risk ratios based on CVaR. The analysis shows that gold provides the most downside risk protection. For a 5% CVaR, a 30% portfolio weight for gold reduces the downside risk by about 25%. The minimum variance and minimum correlation three-asset (FinTech, gold, and silver) portfolios (with portfolio weights estimated using a TVP-VAR model) have the highest risk-adjusted returns (Sharpe ratio, Omega ratio) followed by the fixed-weight FinTech and gold portfolio. These results show the benefits of diversifying an investment in FinTech stocks with precious metals. These results are robust to weekly or monthly portfolio rebalancing and reasonable transaction costs. Full article
(This article belongs to the Special Issue Trends and New Developments in FinTech)
Show Figures

Figure 1

Review

Jump to: Research

19 pages, 418 KiB  
Review
A Comprehensive Review of Generative AI in Finance
by David Kuo Chuen Lee, Chong Guan, Yinghui Yu and Qinxu Ding
FinTech 2024, 3(3), 460-478; https://doi.org/10.3390/fintech3030025 - 20 Sep 2024
Viewed by 6736
Abstract
The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various financial tasks. This review paper provides a comprehensive examination of recent trends and developments at the intersection of GAI and finance. By utilizing [...] Read more.
The integration of generative AI (GAI) into the financial sector has brought about significant advancements, offering new solutions for various financial tasks. This review paper provides a comprehensive examination of recent trends and developments at the intersection of GAI and finance. By utilizing an advanced topic modeling method, BERTopic, we systematically categorize and analyze existing research to uncover predominant themes and emerging areas of interest. Our findings reveal the transformative impact of finance-specific large language models (LLMs), the innovative use of generative adversarial networks (GANs) in synthetic financial data generation, and the pressing necessity of a new regulatory framework to govern the use of GAI in the finance sector. This paper aims to provide researchers and practitioners with a structured overview of the current landscape of GAI in finance, offering insights into both the opportunities and challenges presented by these advanced technologies. Full article
(This article belongs to the Special Issue Trends and New Developments in FinTech)
Show Figures

Figure 1

Back to TopTop