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From liquidity risk to systemic risk : a use of knowledge graph

Chen, Ren-Raw; Zhang, Xiaohu - In: Journal of financial stability 70 (2024), pp. 1-15

Persistent link: https://www.econbiz.de/10014490460

A liquidity risk early warning indicator for Italian banks : a machine learning approach

Drudi, Maria Ludovica; Nobili, Stefano - 2021

Persistent link: https://www.econbiz.de/10012584938

A gradient boosting approach to estimating tail risk interconnectedness

Long, Yunshen; Zeng, LinQing; Wang, Jing; Long, Xingchen; … - In: Applied economics 54 (2022) 8, pp. 862-879

Persistent link: https://www.econbiz.de/10012874756

Unraveling financial fragility of global markets using machine learning

Plakandaras, Vasilios; Gupta, Rangan; Ji, Qiang - 2025

Persistent link: https://www.econbiz.de/10015339254

Constructing early warning indicators for banks using machine learning models

Tarkocin, Coskun; Donduran, Murat - In: The North American journal of economics and finance : a … 69 (2024) 2, pp. 1-11

Persistent link: https://www.econbiz.de/10014445630

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

The changing landscape of financial credit risk models

Verster, Tanja; Fourie, Erika - In: International Journal of Financial Studies : open … 11 (2023) 3, pp. 1-15

The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning. As machine learning expands, it becomes...

Persistent link: https://www.econbiz.de/10014419408

Bankcruptcy prediction model used in credit risk management

Rankov, Siniša; Kotlica, Slobodan - In: Megatrend revija 10 (2013) 4, pp. 37-58

Persistent link: https://www.econbiz.de/10010345422

Risk factor aggregation and stress testing

Packham, Natalie - In: Quantitative finance 24 (2024) 9, pp. 1327-1340

Persistent link: https://www.econbiz.de/10015196926

Machine learning, computational techniques, and reporting processes: risk exposure in GCC markets in the wake of the 2007-2009 global financial meltdown

Al Janabi, Mazin A. M. - In: Financial and economic systems : transformations and …, (pp. 161-186). 2021

Persistent link: https://www.econbiz.de/10012600055