Contributed Papers

Emerging Risk Assessment approaches using Machine Learning, Bayesian and other approaches

Thu, Aug 6, 8:30 AM - 10:20 AM Room CC-156B Thomas M. Menino Convention & Exhibition Center

Section on Risk Analysis

About this session

This session is a collection of interesting talks aimed at risk assessment motivated by applications from biomedical research, finance and actuaries. The approaches are varied and range from Machine Learning, Bayesian and Frequentists approaches.

6 Presentations

Impact of Incentive Designs and Optimization on Uptake of Loss Mitigation and Homeowners Insurance

8:35 AM - 8:50 AM

Sebastain Awondo (University of Alabama)

Incentive Mechanism Design and Optimization Loss Mitigation Homeowners Insurance Tropical storms and hurricane risk

Bayesian analysis of discrete survival data with recall errors: with application to risk prediction

8:50 AM - 9:05 AM

Yuchen Mao

Co-authors: Rajeshwari Sundaram (National Institute of Child Health and Human Development)

Recall errors Discrete survival data Bayesian analysis Risk prediction

A two-step risk parity strategy using markov chain driven asset ranking

9:05 AM - 9:20 AM

Vrinda Dhingra (Tutela Education Pvt Ltd)

Co-authors: Shiv Kumar Gupta (Department of Mathematics, Indian Institute of Technology), Amita Sharma Sharma (Department of Mathematics, Netaji Subhas University of Technology)

Risk parity Risk diversification Second order stochastic dominance Markov chain Portfolio optimization Asset ranking

Risk scoring – a critical appraisal

9:20 AM - 9:35 AM

Zhaochong Yu

Co-authors: Tianyuan Guan, Nisha Sheshashayee, Marepalli Rao (University of Cincinnati)

risk score logistic regression survival analysis cox model

Risk scoring – some new approaches

9:35 AM - 9:50 AM

Nisha Sheshashayee

Co-authors: Marepalli Rao (University of Cincinnati), Zhaochong Yu, Tianyuan Guan, Eric Holmes (University of Cincinnati)

risk scoring system

Individual Loss Reserving with LSTMs and Transformers

9:50 AM - 10:05 AM

Vajira Manathunga (Middle Tennessee State University)

Co-authors: Wendi Chen (Middle Tennessee State University)

Aggregate vs individual loss reserving Chain ladder LSTM Transformers Mixture density networks