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Financial Applications to Business and Financial Risk Management
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Financial Applications to Business and Financial Risk Management

A special issue of Journal of Risk and Financial Management (ISSN 1911-8074). This special issue belongs to the section "Banking and Finance".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 20813

Special Issue Editors

Dr. Ricardo Reier Forradellas

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Guest Editor
Department of Economics, Catholic University of Ávila, 05005 Ávila, Spain
Interests: finance; business strategy; entrepreneurship
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sergio Luis Náñez Alonso

E-Mail Website
Co-Guest Editor
Digital Economy & Knowledge and Information Society (DEKIS) Research Group, Catholic University of Ávila, 05005 Ávila, Spain
Interests: fiscal policy and taxation; CBDC; taxation; digital economy; collaborative economy, tax; redistribution; central bank digital currency
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Javier Jorge-Vázquez

E-Mail Website
Co-Guest Editor
DEKIS Research Group, Catholic University of Ávila, Ávila, Spain
Interests: digital economy; digital business models; technological entrepreneurship; digital business strategy; marketing digital; digitalization and rural development; central bank digital currencies; social economy
Special Issues, Collections and Topics in MDPI journals
Dr. Luis Miguel Garay Gallastegui

E-Mail Website
Co-Guest Editor
Department of Economics, Catholic University of Ávila, 05005 Ávila, Spain
Interests: digital marketing; data and artificial intelligence; new technologies and innovation

Special Issue Information

Dear Colleagues,

One of the main risks faced by any organization today is financial risk. Likewise, in a globalized, interconnected world dependent on new technologies, the application of financial solutions has become a real necessity. Financial risk refers to the probability of a negative situation occurring, resulting in economic losses for a company—in other words, the occurrence of an event of uncertainty that hinders the return on an investment made by the company.

This Special Issue focuses on the reception of papers that provide solutions for analyzing, measuring, or managing financial risk in any business decision. Likewise, papers that contribute to the existing literature on global financial risk will be accepted. Within this last line of work, analyses of global financial risks, by sectors, by geographical areas or those produced by specific events will be taken into account.

In short, we invite original contributions in English that focus on issues related to financial management applied to business and solutions applied to global financial risk management. Theoretical papers that add value to the existing literature and make a contribution in their fields of study will also be considered.

Limited financial support for publication fees and proofreading is available to excellent submissions by authors without other sources of institutional funding. Please contact the editors of this Special Issue about the Article Processing Charges (APC) and possible reductions. 

Dr. Ricardo Reier Forradellas
Prof. Dr. Sergio Luis Náñez Alonso
Prof. Dr. Javier Jorge-Vázquez
Dr. Luis Miguel Garay Gallastegui
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. Journal of Risk and Financial Management 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 1400 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

  • financial risk
  • financial inclusion
  • financial sustainability
  • country financial risk
  • financial solutions applied to business
  • new technologies in financial risk management

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

Published Papers (2 papers)

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Research

23 pages, 939 KiB  
Article
Examining the Determinants of Credit Risk Management and Their Relationship with the Performance of Commercial Banks in Nepal
by Tribhuwan Kumar Bhatt, Naveed Ahmed, Muhammad Babar Iqbal and Mehfooz Ullah
J. Risk Financial Manag. 2023, 16(4), 235; https://doi.org/10.3390/jrfm16040235 - 10 Apr 2023
Cited by 8 | Viewed by 16307
Abstract
In recent years, after the global financial crisis, the issue of credit risk management has received increased attention from international regulators. Credit risk management frameworks are often not sufficiently integrated within the organization, there is no unified approach, and there is no holistic [...] Read more.
In recent years, after the global financial crisis, the issue of credit risk management has received increased attention from international regulators. Credit risk management frameworks are often not sufficiently integrated within the organization, there is no unified approach, and there is no holistic view of all risks. Likewise, where they exist, sound risk management practices have helped institutions to weather financial crises better than others. Therefore, the current study aimed to examine the determinants of credit risk management and their relationship with the performance of commercial banks in Nepal. It also examines the mediating role of credit risk management on the performance of commercial banks in Nepal. The results indicate that there is a positive relationship between environmental risk and credit risk management. It is also found that credit appraisal measurements have a significant effect on credit risk management. The results reveal that market risk analysis has a significant effect on credit risk management. The results show that credit risk management mediates the relationship between environmental risk, credit appraisal measurements, market risk analysis, and the performance of commercial banks. Therefore, managers should strive to impart risk prevention and control mechanisms to reduce credit risk and achieve good financial performance. Full article
(This article belongs to the Special Issue Financial Applications to Business and Financial Risk Management)
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13 pages, 2818 KiB  
Article
Predicting Cryptocurrency Fraud Using ChaosNet: The Ethereum Manifestation
by Anurag Dutta, Liton Chandra Voumik, Athilingam Ramamoorthy, Samrat Ray and Asif Raihan
J. Risk Financial Manag. 2023, 16(4), 216; https://doi.org/10.3390/jrfm16040216 - 29 Mar 2023
Cited by 14 | Viewed by 3774
Abstract
Cryptocurrencies are in high demand now due to their volatile and untraceable nature. Bitcoin, Ethereum, and Dogecoin are just a few examples. This research seeks to identify deception and probable fraud in Ethereum transactional processes. We have developed this capability via ChaosNet, an [...] Read more.
Cryptocurrencies are in high demand now due to their volatile and untraceable nature. Bitcoin, Ethereum, and Dogecoin are just a few examples. This research seeks to identify deception and probable fraud in Ethereum transactional processes. We have developed this capability via ChaosNet, an Artificial Neural Network constructed using Generalized Luröth Series maps. Chaos has been objectively discovered in the brain at many spatiotemporal scales. Several synthetic neuronal simulations, including the Hindmarsh–Rose model, possess chaos, and individual brain neurons are known to display chaotic bursting phenomena. Although chaos is included in several Artificial Neural Networks (ANNs), for instance, in Recursively Generating Neural Networks, no ANNs exist for classical tasks entirely made up of chaoticity. ChaosNet uses the chaotic GLS neurons’ property of topological transitivity to perform classification problems on pools of data with cutting-edge performance, lowering the necessary training sample count. This synthetic neural network can perform categorization tasks by gathering a definite amount of training data. ChaosNet utilizes some of the best traits of networks composed of biological neurons, which derive from the strong chaotic activity of individual neurons, to solve complex classification tasks on par with or better than standard Artificial Neural Networks. It has been shown to require much fewer training samples. This ability of ChaosNet has been well exploited for the objective of our research. Further, in this article, ChaosNet has been integrated with several well-known ML algorithms to cater to the purposes of this study. The results obtained are better than the generic results. Full article
(This article belongs to the Special Issue Financial Applications to Business and Financial Risk Management)
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