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Factors affecting crash risk within the car-sharing market

Sutiene, Kristina; Uselyte, Monika - In: International journal of risk assessment and management … 24 (2021) 2/4, pp. 236-251

Persistent link: https://www.econbiz.de/10014227068

A survey on deep learning for financial risk prediction

Peng, Kuashuai; Guofeng, Yan - In: Quantitative finance and economics 5 (2021) 4, pp. 716-737

Persistent link: https://www.econbiz.de/10013494096

Forecasting economic decisions under risk : the predictive importance of choice-process data

Mueller, Steffen Q.; Ring, Patrick; Schmidt, Maria - 2019 - Version: January 2019

We investigate various statistical methods for forecasting risky choices and identify important decision predictors. Subjects (n=44) are presented a series of 50/50 gambles that each involves a potential gain and a potential loss, and subjects can choose to either accept or reject a displayed...

Persistent link: https://www.econbiz.de/10011964372

Uncertainty and forecastability of regional output growth in the UK : evidence from machine learning

Balcilar, Mehmet; Gabauer, David; Gupta, Rangan; … - In: Journal of forecasting 41 (2022) 6, pp. 1049-1064

Persistent link: https://www.econbiz.de/10013465678

Air pollution and mortality impacts

Dong, Zhe Michelle; Shang, Han Lin; Bruhn, Aaron - In: Risks : open access journal 10 (2022) 6, pp. 1-21

This study quantifies the air quality impact on population mortality from an actuarial perspective, considering implications to the industry through the application of findings. The study focuses on the increase in mortality from air quality changes due to extreme weather impacts. We conduct an...

Persistent link: https://www.econbiz.de/10013363013

The M5 uncertainty competition : results, findings and conclusions

Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1365-1385

Persistent link: https://www.econbiz.de/10014381091

Machine learning risk models

Kakushadze, Zura; Yu, Willie - In: Journal of risk & control 6 (2019) 1, pp. 37-64

Persistent link: https://www.econbiz.de/10012237599

Forecasting U.S. money growth using economic uncertainty measures and regularisation techniques

Tarassow, Artur - In: International journal of forecasting 35 (2019) 2, pp. 443-457

Persistent link: https://www.econbiz.de/10012300681

Leading indicators and maritime safety: predicting future risk with a machine learning approach

Kretschmann, Lutz - In: Journal of shipping and trade 5 (2020) 19, pp. 1-22

continue this development in the future, innovative leading risk indicators can make a significant contribution. If designed … leading risk indicators is positively influenced by the ongoing digital transformation in the maritime industry. With an … increasing amount of data from ship operation becoming available, these can be exploited in innovative risk management solutions …

Persistent link: https://www.econbiz.de/10012301416

Predicting risk perception : new insights from data science

Bhatia, Sudeep - In: Management science : journal of the Institute for … 65 (2019) 8, pp. 3800-3823

Persistent link: https://www.econbiz.de/10012062811