Advances in Actuarial Science and Quantitative Finance
We invite submission of research papers related to recent advances in probability modeling from all areas of Finance, Risk Management and Insurance.
We encourage research that focuses on the development of innovative probability models, methodologies and applications reflecting recent trends in finance and insurance. Topics of particular interest include but are not limited to:
- Epidemiological modeling, especially pertaining to the COVID-19 pandemic
- Risk theory and queuing theory with applications in insurance and finance
- Asset and liability management techniques
- Risk measures, solvency and financial instability
- Monte Carlo simulations and other computational methods
- Emerging risks modeling and technologies (cyber, climate, machine learning, etc)
Manuscripts submitted under this call for papers will be evaluated in the same manner as all other manuscripts, with expectations for the same level of rigor and carefulness in methods and exposition.
- Runhuan Feng, University of Illinois at Urbana-Champaign
- José E. Figueroa-López, Washington University in St Louis
- Claude Lefèvre, Université Libre de Bruxelles
- Junyi Guo, Nankai University
Local Editorial Team
- Alfred Chong, University of Illinois at Urbana-Champaign
- Daniel Linders, University of Amsterdam
- Zhiyu Quan, University of Illinois at Urbana-Champaign
Authors should submit their manuscripts via Springer’s web-based system, Editorial Manager, at www.editorialmanager.com/mcap and indicate that they wish to have the paper considered for the special issue on “Advances in Actuarial Science and Quantitative Finance”. To be considered for the special issue, manuscripts must be received by February 28, 2021.
J.L. Doob Best Paper Award for Applied Probability
This special issue is connected but not restricted to the 2022 Actuarial Research Conference (ARC) to be held at the University of Illinois at Urbana-Champaign in the United States. The best paper award is set up in honor of Professor Emeritus Joseph L. Doob, who was a pioneer in the study of probability and analysis, and best known for his foundational work on martingales and probabilistic potential theory. All submissions to this special issue will be considered for the best paper award. Winner and runners-up will be invited to speak at a special session at the 2022 ARC.