There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are being detected, measured, reported and managed. Considerable research in academia…
Risks Template
Write in a clean editor, then format for Risks in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Risks format
Risks is a peer-reviewed journal published by MDPI, covering Insurance, Mortality, Demography, Risk Management, Insurance and Financial Risk Management, Financial Risk and Volatility Modeling. Over its lifetime it has published 1,908 papers, which have received 18,902 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Risks 2023, 12, 45–58.
Formats any DOI in Risks style. No sign-up. |
| Publishes research in | Insurance, Mortality, Demography, Risk Management Insurance and Financial Risk Management Financial Risk and Volatility Modeling Market Dynamics and Volatility Stochastic processes and financial applications |
| ISSN | 2227-9091 |
| Citation impact (2-yr) | 2.68 |
| h-index | 55 |
| i10-index | 533 |
| Article processing charge | $1,515 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Macquarie University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Risks per year
Citation impact of Risks by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Risks
Due to the advanced technology associated with Big Data, data availability and computing power, most banks or lending institutions are renewing their business models. Credit risk predictions, monitoring, model reliability and effective loan processing are key to decision-making and transparency. In this work, we build binary classifiers based on machine and deep learning models on…
Recent crises in the financial industry have shown weaknesses in the modeling of Risk-Weighted Assets (RWAs). Relatively minor model changes may lead to substantial changes in the RWA numbers. Similar problems are encountered in the Value-at-Risk (VaR)-aggregation of risks. In this article, we highlight some of the underlying issues, both methodologically, as well as through…
The risks associated with global supply chain management has created a discourse among practitioners and academics. This is evident by the business uncertainties growing in supply chain management, which pose threats to the entire network flow and economy. This paper aims to review the existing literature on risk factors in supply chain management in an…
The widespread use of digital technologies and the current pandemic (COVID) have fueled the need and call for digital transformation in the banking sector. Although this has various benefits, it is a disruption to the norm to which a bank customer has to become accustomed. This variance means that customers would have to make some…