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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

Trend · papers per month

count% of corpus
1122 · Jul 202519922001200920172026
5 results for “insurtech”
Improving Business Insurance Loss Models by Leveraging InsurTech Innovationq-fin.RM

Enhances insurance loss models using InsurTech data and machine learning.

problem Traditional insurance loss models lack predictive accuracy due to limited data sources.
method Combining proprietary claims data with InsurTech data and applying machine learning techniques.
result Improved predictive accuracy of the loss model through machine learning.
insuranceloss modelingInsurTechmachine learningdata science
2024-01-30abs ↗pdf ↗
Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factorsq-fin.RM

Enhances cyber risk assessment with entity-specific features.

problem Lack of high-quality public cyber incident data.
method Develops an InsurTech framework to enrich cyber incident data with entity-specific attributes and implements machine learning models.
result InsurTech features improve prediction robustness and provide customized risk profiles.
cyber risk assessmententity-specific featuresmachine learninginsurtechcyber incident data
2025-07-10abs ↗pdf ↗
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industrycs.LG

FL improves insurance claims loss prediction without sharing data.

problem Limited data volume and variety due to privacy concerns.
method Federated Learning (FL) to update a global model using local data insights.
result Improved claims loss forecasting compared to individual models.
Federated LearningInsurance IndustryMachine LearningCollaborative LearningData Privacy
2024-02-22abs ↗pdf ↗