1 citations · 2 across the 8 of their papers we have counts for
9 papers
Quantifying Social Inflation in Liability Insurance with Advanced Statistical Methods
Tsz Chai Fung, Lie Ma, Liang Peng +1
Social inflation, which is the rise in liability claim costs beyond general economic inflation, has become a major concern for insurers and reinsurers, yet it is difficult to quant…
Statistical Learning of Trade Credit Insurance Network Data with Applications to Ratemaking and Reserving
Woongchae Yoo, Spark C. Tseung, Tsz Chai Fung
Trade credit insurance (TCI) is a specialized line of property and casualty insurance, protecting businesses against financial losses due to buyer's insolvency. Predictive modeling…
A Revisit of the Optimal Excess-of-Loss Contract
Ernest Aboagye, Vali Asimit, Tsz Chai Fung +2
It is well-known that Excess-of-Loss reinsurance has more marketability than Stop-Loss reinsurance, though Stop-Loss reinsurance is the most prominent setting discussed in the opti…
Diagnostic Tests Before Modeling Longitudinal Actuarial Data
Yinhuan Li, Tsz Chai Fung, Liang Peng +1
In non-life insurance, it is essential to understand the serial dynamics and dependence structure of the longitudinal insurance data before using them. Existing actuarial literatur…
A Posteriori Risk Classification and Ratemaking with Random Effects in the Mixture-of-Experts Model
Spark C. Tseung, Ian Weng Chan, Tsz Chai Fung +2
A well-designed framework for risk classification and ratemaking in automobile insurance is key to insurers' profitability and risk management, while also ensuring that policyholde…
Mixture of experts models for multilevel data: modelling framework and approximation theory
Tsz Chai Fung, Spark C. Tseung
Multilevel data are prevalent in many real-world applications. However, it remains an open research problem to identify and justify a class of models that flexibly capture a wide r…
Robust estimation and model diagnostic of insurance loss data: a weighted likelihood approach
Tsz Chai Fung
This paper presents a score-based weighted likelihood estimator (SWLE) for robust estimations of generalized linear model (GLM) for insurance loss data. The SWLE exhibits a limited…
Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models
Tsz Chai Fung
In this article, we present the maximum weighted likelihood estimator (MWLE) for robust estimations of heavy-tail finite mixture models (FMM). This is motivated by the complex dist…
Mixture composite regression models with multi-type feature selection
Tsz Chai Fung, George Tzougas, Mario Wuthrich
The aim of this paper is to present a mixture composite regression model for claim severity modelling. Claim severity modelling poses several challenges such as multimodality, heav…