Risks 2023, 11(3), 51; https://doi.org/10.3390/risks11030051 - 23 Feb 2023
Best Paper Award
Dear Colleagues,
We are pleased to announce the winners of the Risks 2021 Best Paper Award. All papers published in 1 January 2021 to 31 December 2021 in Risks were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, three winners were selected.
Financial Transactions Using FINTECH during the Covid-19 Crisis in Bulgaria
By Ivanka Vasenska, Preslav Dimitrov, Blagovesta Koyundzhiyska-Davidkova, Vladislav Krastev, Pavol Durana and Ioulia Poulaki
Risks 2021, 9(3), 48; doi: org/10.3390/risks9030048
Automatic Indexation of the Pension Age to Life Expectancy: When Policy Design Matters
By Mercedes Ayuso, Jorge M. Bravo, Robert Holzmann and Edward Palmer
Risks 2021, 9(5), 96; doi: org/10.3390/risks9050096
Dataset Modelling of the Financial Risk Management of Social Entrepreneurship in Emerging Economies
By Elena G. Popkova and Bruno S. Sergi
Risks 2021, 9(12), 211; doi: org/10.3390/risks9120211
Each winner will receive CHF 400 and a chance to publish a paper in Risks in 2023 after peer review.
Please join us in congratulating the winners of Risks 2021 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Risks.
Kind regards,
Risks Editorial Office
Risks Best Paper Award
Eligibility and Requirements
– All papers published in Risks will be eligible (Both regular and Special Issue submissions).
Past Winners
Year:
Winner
Cryptocurrency Risks, Fraud Cases, and Financial Performance
Optimal Investment in a Dual Risk Model
Risks 2023, 11(2), 41; https://doi.org/10.3390/risks11020041 - 9 Feb 2023
Award Committee
Prof. Dr. Steven Haberman
Chairperson
City St George's, University of London
Prof. Dr. Mogens Steffensen
University of Copenhagen
Prof. Dr. Johnny Li
The Chinese University of Hong Kong
Prof. Dr. Shengkun Xie
Toronto Metropolitan University
Winner
Scenario Generation for Market Risk Models Using Generative Neural Networks
Risks 2022, 10(11), 199; https://doi.org/10.3390/risks10110199 - 22 Oct 2022
Modeling Under-Reporting in Cyber Incidents
Risks 2022, 10(11), 200; https://doi.org/10.3390/risks10110200 - 22 Oct 2022
A Review on Machine Learning for Asset Management
Risks 2022, 10(4), 84; https://doi.org/10.3390/risks10040084 - 13 Apr 2022
Award Committee
Prof. Dr. Steven Haberman
Chairperson
City St George's, University of London
Prof. Dr. Mogens Steffensen
University of Copenhagen
Prof. Dr. Dan Pirjol
Stevens Institute of Technology
Prof. Dr. Corina Constantinescu
University of Liverpool
Winner
Financial Transactions Using FINTECH during the Covid-19 Crisis in Bulgaria
Risks 2021, 9(3), 48; https://doi.org/10.3390/risks9030048 - 5 Mar 2021
Automatic Indexation of the Pension Age to Life Expectancy: When Policy Design Matters
Risks 2021, 9(5), 96; https://doi.org/10.3390/risks9050096 - 13 May 2021
Dataset Modelling of the Financial Risk Management of Social Entrepreneurship in Emerging Economies
Risks 2021, 9(12), 211; https://doi.org/10.3390/risks9120211 - 26 Nov 2021
Winner
Nagging Predictors
Risks 2020, 8(3), 83; https://doi.org/10.3390/risks8030083 - 4 Aug 2020
A Longitudinal Analysis of the Impact of Distance Driven on the Probability of Car Accidents
Risks 2020, 8(3), 91; https://doi.org/10.3390/risks8030091 - 1 Sep 2020
Financial Bubbles: A Study of Co-Explosivity in the Cryptocurrency Market
Risks 2020, 8(2), 34; https://doi.org/10.3390/risks8020034 - 9 Apr 2020
A Generative Adversarial Network Approach to Calibration of Local Stochastic Volatility Models
Risks 2020, 8(4), 101; https://doi.org/10.3390/risks8040101 - 27 Sep 2020
Machine Learning in Least-Squares Monte Carlo Proxy Modeling of Life Insurance Companies
Risks 2020, 8(1), 21; https://doi.org/10.3390/risks8010021 - 21 Feb 2020
Winner
Measuring and Allocating Systemic Risk
Risks 2019, 7(2), 46; https://doi.org/10.3390/risks7020046 - 26 Apr 2019
Pricing Options and Computing Implied Volatilities using Neural Networks
Risks 2019, 7(1), 16; https://doi.org/10.3390/risks7010016 - 9 Feb 2019
Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression
Risks 2019, 7(2), 70; https://doi.org/10.3390/risks7020070 - 20 Jun 2019
Winner
An Individual Claims History Simulation Machine
Risks 2018, 6(2), 29; https://doi.org/10.3390/risks6020029 - 30 Mar 2018
Credit Risk Analysis Using Machine and Deep Learning Models
Risks 2018, 6(2), 38; https://doi.org/10.3390/risks6020038 - 16 Apr 2018
