Special Issue "Applied Financial and Actuarial Risk Analytics"
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: 29 February 2024 | Viewed by 1034
Interests: mathematical finance; actuarial science; quantitative risk management; applications of stochastic processes; filtering and control; applied statistics; quantitative analytics
Interests: actuarial science; equity linked insurance products; optimal insurance strategy; mathematical finance; applications of AI and data science in insurance and actuarial science
Special Issues, Collections and Topics in MDPI journals
Modeling financial and actuarial risks has long been a pressing issue, and is of high priority in the research agendas of actuarial science, finance, and risk management. The field is truly interdisciplinary and draws on concepts, methods, and techniques from diverse fields, including, but not limited to, probability theory, stochastic processes, statistics, econometrics, finance, actuarial mathematics, financial mathematics, economics, computing, optimization, and control theory. Recently, with the advancement of computing technologies as well as the availability of granular and big data, machine learning, data analytics, and artificial intelligence (AI) are becoming more and more important in modeling as well as predicting financial and actuarial risks. Techniques in machine learning, data analytics, and AI have transformed both the theories and practices of financial and insurance risk modeling. A new era of the field has emerged, and new and exciting research opportunities are waiting for further explorations.
In this Special Issue, we aim to provide a platform to explore the new and exciting research opportunities in financial and actuarial risk modeling via innovative techniques and/or applications of machine learning, data analytics, and AI. We believe that traditional techniques in modeling financial and actuarial risks are important ingredients to increase the proliferation of various important and innovative uses of machine learning, data analytics, and AI. We also subscribe to the view of the diversification of research ideas and approaches. We welcome and sincerely invite colleagues from both academia and industry to share their latest and cutting-edge research on financial and actuarial risks from both traditional and modern perspectives. All areas of financial and actuarial risk are welcome.
Prof. Dr. Tak Kuen Ken Siu
Prof. Dr. Hailiang Yang
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. 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 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.
- financial risk
- actuarial risk
- data analytics
- machine learning