Search Results - subject:"RISK CLASSIFICATION"

Can price collars increase insurance loss coverage?

Chatterjee, Indradeb; Hao, Mingjie; Tapadar, Pradip; … - In: Insurance : mathematics and economics 116 (2024), pp. 74-94

Persistent link: https://www.econbiz.de/10015066790

Mitigating moral hazard with usage-based insurance

Holzapfel, Julia; Peter, Richard; Richter, Andreas - In: The journal of risk & insurance 91 (2024) 4, pp. 813-839

Persistent link: https://www.econbiz.de/10015121207

Big data, risk classification, and privacy in insurance markets

Eling, Martin; Gemmo, Irina; Guxha, Danjela; Schmeiser, Hato - In: The Geneva risk and insurance review 49 (2024) 1, pp. 75-126

Persistent link: https://www.econbiz.de/10014583106

Improving risk classification and ratemaking using mixture-of-experts models with random effects

Tseung, Spark C.; Chan, Ian Weng; Fung, Tsz Chai; … - In: The journal of risk & insurance 90 (2023) 3, pp. 789-820

Persistent link: https://www.econbiz.de/10014364572

Risk classification with on-demand insurance

Braun, Alexander; Haeusle, Niklas; Thistle, Paul D. - In: The journal of risk & insurance 90 (2023) 4, pp. 975-990

Persistent link: https://www.econbiz.de/10014443639

The applications of generalized poisson regression models to insurance claim data

Faroughi, Pouya; Li, Shu; Ren, Jiandong - In: Risks : open access journal 11 (2023) 12, pp. 1-17

in insurance risk classification and beyond. …

Persistent link: https://www.econbiz.de/10014446646

Deciphering DeFi: a comprehensive analysis and visualization of risks in decentralized finance

Weingärtner, Tim; Fasser, Fabian; Costa, Pedro Reis Sá da - 2023

Persistent link: https://www.econbiz.de/10014483009

Exploring industry-level fairness of auto insurance premiums by statistical modeling of automobile rate and classification data

Xie, Shengkun; Luo, Rebecca; Li, Yuanshun - In: Risks : open access journal 10 (2022) 10, pp. 1-21

. Risk classification and estimating risk relativities through statistical modeling become essential to help achieve fairness …

Persistent link: https://www.econbiz.de/10013556687

A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification

Yu, Lean; Yu, Lihang; Yu, Kaitao - In: Financial Innovation 7 (2021) 1, pp. 1-20

To solve the high-dimensionality issue and improve its accuracy in credit risk assessment, a high-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main stages: categorization of high dimensional...

Persistent link: https://www.econbiz.de/10012602913

A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification

Yu, Lean; Yu, Lihang; Yu, Kaitao - In: Financial innovation : FIN 7 (2021), pp. 1-20

Persistent link: https://www.econbiz.de/10012510343