Risks 2021, 9(3), 48; https://doi.org/10.3390/risks9030048 - 5 Mar 2021
Best Paper Award
Dear Authors,
I am pleased to announce the winners of the 2018 Best Paper Awards. Two research articles were selected for this award. All papers published in 2018 in Risks were considered. In determining the winners, the Evaluation Committee based their decision on the originality and significance of the papers as well as the citations and downloads in 2019.
The first prize article is:
“Individual Claims History Simulation Machine” by Andrea Gabrielli and Mario V. Wüthrich
Link: https://www.mdpi.com/2227-9091/6/2/29
The second prize article is:
“Credit Risk Analysis using Machine and Deep Learning Models” by Peter Martey Addo, Dominique Guegan and Bertrand Hassani.
Link: https://www.mdpi.com/2227-9091/6/2/38
Prizes:
The winners (corresponding authors) will receive a certificate and an offer to publish a paper free of charge in Risks, after the normal peer-review procedure. The winners will receive the following:
– First Award (one paper): 500 CHF
– Second Award (one paper): 300 CHF
Congratulations to the authors of these outstanding papers!
Prof. Dr. Mogens Steffensen
Editor-in-Chief
Risks 2019 Best Paper Award
Eligibility and Requirements
– All papers published in Risks will be eligible (Both regular and Special Issue submissions).
Past Winners
Year:
Winner
Financial Transactions Using FINTECH during the Covid-19 Crisis in Bulgaria
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
