Search Results - subject_exact:"Auto insurance"

Risk-informed machine learning models for renewal classification in motor insurance

Boonkrong, Pichit; Yang, Junwei; Huang, Xueyuan; … - 2026

This study develops an interpretable machine learning framework for type 1 motor insurance renewal classification using 70,290 real-world Thai policies, providing essential insights for pricing, customer retention, and operational decision making. The dataset was partitioned into a 70% training...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639023

Collusion between retailers and customers : the case of insurance fraud in Taiwan

Picard, Pierre; Wang, Jennifer; Wang, Kili C. - 2026

This study analyzes how the insurance distribution channel can affect insurance fraud. It uses econometric models that confirm the existence of claim manipulation as a form of insurance fraud, whereby policyholders circumvent the bonus-malus system and reduce the actual burden of insurance...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015639033

Evaluating transition rules for enhancing fairness in bonus-malus systems : an application to the Saudi Arabian auto insurance market

Alyafie, Asrar; Constantinescu, Corina; Yslas, Jorge - 2025

A Bonus-Malus System (BMS) is a ratemaking mechanism used in insurance to adjust premiums based on a policyholder's claim history, with the goal of segmenting risk profiles more accurately. A BMS typically comprises three key components: the number of BMS levels, the transition rules dictating...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333633

Weekly dynamic motor insurance ratemaking with a telematics signals bonus-malus score

Yanez, Juan Sebastian; Guillén, Montserrat; Nielsen, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015450019

Modeling age-to-age development factors in auto insurance through principal component analysis and temporal clustering

Xie, Shengkun; Gan, Chong - 2025

The estimation of age-to-age development factors is fundamental to loss reserving, with direct implications for risk management and regulatory compliance in the auto insurance sector. The precise and robust estimation of these factors underpins the credibility of case reserves and the effective...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436590

A golden eagle-based hybrid deep learning model for automobile insurance fraud detection

Kavikumar, Jacob; Shubanath Thejani binti Mohammed … - 2025

Insurance fraud detection is a significant problem in the insurance industry, producing immeasurable losses. Conventional insurance fraud detection models depend heavily on experts' knowledge, and accurately estimating fraud when the data and the claim data are enormous is a complex and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015506758

Multivariate zero-inflated INAR(1) model with an application in automobile insurance

Zhang, Pengcheng; Chen, Zezhun; Tzougas, George; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015552596

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Multivariate Zero-Inflated Inar(1) Model with an Application in Automobile Insurance

Zhang, Pengcheng; Chen, Zezhun; Tzougas, George; Wu, Xueyuan - 2022

Book / Working Paper

Insurtech, sensor data, and changes in customers' coverage choices : evidence from usage-based automobile insurance

Soleymanian, Miremad; Weinberg, Charles B.; Zhu, Ting - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015397458

How do consumers think about usage-based auto insurance? : a survey analysis from Taiwan

Peng, Jin Lung; Chen, Yi-Fan; Chen, Yen-Chih - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436760

Empirical Applications of the Median Voter Model

2025

Introduction Empirical Applications of the Median Voter Model -- Do Voter Initiatives Affect the Interest Group Orientation of Government Spending -- The Political Economy of Automobile Insurance Elected vs Appointed Regulators -- Conflicting Objectives of Cartel Members Analysis of Voting...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015397274

Combining predictions of auto insurance claims

Ye, Chenglong; Zhang, Lin; Han, Mingxuan; Yu, Yanjia; … - 2022

This paper aims to better predict highly skewed auto insurance claims by combining candidate predictions. We analyze a version of the Kangaroo Auto Insurance company data and study the effects of combining different methods using five measures of prediction accuracy. The results show the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013355181

Machine learning in ratemaking, an application in commercial auto insurance

Matthews, Spencer; Hartman, Brian - 2022

This paper explores the tuning and results of two-part models on rich datasets provided through the Casualty Actuarial Society (CAS). These datasets include bodily injury (BI), property damage (PD) and collision (COLL) coverage, each documenting policy characteristics and claims across a...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013355363

Telematics combined actuarial neural networks for cross-sectional and longitudinal claim count data

Duval, Francis; Boucher, Jean-Philippe; Pigeon, Mathieu - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015055287

Integration of traditional and telematics data for efficient insurance claims prediction

Peiris, Hashan; Jeong, Himchan; Kim, Jae Kwang; Lee, … - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015055288

Writing and reading new markets : insurance in Quebec : 1931-1960

Nelson, Heather - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015055311

Claim prediction and premium pricing for telematics auto insurance data using poisson regression with lasso regularisation

Usman, Farha; Chan, Jennifer S. K.; Makov, Udi E.; … - 2024

We leverage telematics data on driving behavior variables to assess driver risk and predict future insurance claims in a case study utilising a representative telematics sample. In the study, we aim to categorise drivers according to their driving habits and establish premiums that accurately...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015065977

Household Refundable Utility by taking out refundable insurance : empirical study in the Spanish auto insurance market

Claramunt, Maria Mercè; Costa, Teresa; Mármol, Maite; … - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015078163

Capitalizing data : case studies of driving records and vehicle insurance claims

Soloveichik, Rachel - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015050728

Digitalization and corporate social responsibility : a case study of the Moroccan auto insurance sector

Abdallah-Ou-Moussa, Soukaina; Wynn, Martin George; … - 2024

The aim of this article is to explore the impact of digitalization on corporate social responsibility (CSR) in the automobile insurance sector in Morocco. This article first explores the theoretical and conceptual foundations of digital transformation and CSR. A mixed methods approach is then...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015179435

Determinants of claims in motor insurance in Rwanda

Kwizera, Placide Aime; Gakuru, Steven - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015595205

Knowledge of motor insurance among the Polish population

Witkowska, Justyna - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015640943

Unified spatial clustering of territory risk to uncover impact of COVID-19 pandemic on major coverages of auto insurance

Xie, Shengkun; Ho, Nathaniel - 2024

This research delves into the fusion of spatial clustering and predictive modeling within auto insurance data analytics. The primary focus of this research is on addressing challenges stemming from the dynamic nature of spatial patterns in multiple accident year claim data, by using spatially...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014637191

An alternative pricing system through Bayesian estimates and method of moments in a bonus-malus framework for the Ghanaian auto insurance market

Jacob, Azaare; Wu, Zhao - 2020

This paper examines the current No-Claim Discount (NCD) system used in Ghana’s auto insurance market as inefficient and outmoded and, therefore, proposes an alternative optimal Bonus-Malus System (BMS) intended to meet the present market conditions and demand. It appears that the existing BMS...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012309284

A survey of the individual claim size and other risk factors using credibility bonus-malus premiums

Gómez-Déniz, Emilio; Calderín-Ojeda, Enrique - 2020

In this paper, a flexible count regression model based on a bivariate compound Poisson distribution is introduced in order to distinguish between different types of claims according to the claim size. Furthermore, it allows us to analyse the factors that affect the number of claims above and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012203802

A gentle introduction to risk aversion and utility theory

Cather, David A. - 2010

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10003967619

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A Gentle Introduction to Risk Aversion and Utility Theory

Cather, David - 2023

Book / Working Paper

Cream skimming and technological innovations in automobile insurance market

Fujii, Yoichiro; Nishizawa, Shuhei - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436750

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Cream Skimming and Technological Innovations in Automobile Insurance Market

Fujii, Yoichiro; Nishizawa, Shuhei - 2023

Book / Working Paper

Bayesian Cart Models for Insurance Claims Frequency

Zhang, Yaojun; Ji, Lanpeng; Aivaliotis, Georgios; … - 2023

Accuracy and interpretability of a (non-life) insurance pricing model are essential qualities to ensure fair and transparent premiums for policy-holders, that reflect their risk. In recent years, the classification and regression trees (CARTs) and their ensembles have gained popularity in the...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014260159

Spatial Joint Modeling of Claim Frequency and Claim Size in Third-Party Car Insurance of Iran Based on Copula Functions

Tadayon, Vahid; Ghanbarzadeh, Mitra - 2023

The number of claims and the amount of claims (or the sum of claims, which is referred to as the amount of total claims/loss in the insurance literature) is among the most important information available to insurance companies, and its analysis can provide the necessary knowledge for targeted...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014348220

Does it Pay to Pay Attention? Estimating Sources of Consumer Inertia in Car Insurance Market

Kepp, Kaido; Männasoo, Kadri - 2023

We study the vehicle owners’ Motor Own Damage insurance search frictions and choices. We use a consumer-level annual panel of policy and insurance offers’ data from 2010-2018 from the biggest insurance broker consolidating the Estonian car insurance market offers. We apply the two-stage...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014349332

Privacy Protection, At What Cost? Exploring the Regulatory Resistance to Data Technology in Auto Insurance

Ben-Shahar, Omri - 2023

Regulatory and sociological resistance to new market-driven technologies, particularly to those that rely on collection and analysis of personal data, is prevalent even in cases where the technology creates large social value and saves lives. This article is a case study of such tragic...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014349955

Re-Examining Moral Hazard Under Inattention : New Evidence from Behavioral Data in Auto Insurance

Jin, Yizhou - 2023

This paper uses novel sensor data to study drivers’ risky phone use behavior. The results challenge the conventional wisdom of moral hazard in insurance. We first identify handheld phone use behavior (“HPU”) and quantify its causal impact on accident likelihood (“riskiness”) using...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014350451

The Effect of Rate Regulations and Compulsory Insurance Laws on Auto Insurance Purchases : Evidence from the US Personal Auto Insurance Market

Kim, Gyu Dong - 2023

This research examines the effects of rate regulations and compulsory insurance laws on insurance purchases. Three stage least squares (3sls) regressions have been employed to control for the endogeneity of the main variables, which are premiums, regulations, and insurance purchases. The...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014350934

Does air pollution cause more car accidents? : evidence from auto insurance claims

Deng, Yongheng; He, Jia; Li, Bingqing; Shen, Xixi - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015413679

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Does Air Pollution Cause More Car Accidents? Evidence from Auto Insurance Claims

Deng, Yongheng; He, Jia; Shen, Xixi; Li, Bingqing - 2023

Book / Working Paper

Prioritizing risk-level factors in comprehensive automobile insurance management : a hybrid multi-criteria decision-making model

Esfandabadi, Zahra Shams; Ranjbari, Meisam; Domenico … - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014432526

Claims modelling with three-component composite models

Li, Jackie; Liu, Jacie Jia - 2023

In this paper, we develop a number of new composite models for modelling individual claims in general insurance. All our models contain a Weibull distribution for the smallest claims, a lognormal distribution for the medium-sized claims, and a long-tailed distribution for the largest claims....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014436383

Dirichlet process log skew-normal mixture with a missing-at-random-covariate in insurance claim analysis

Kim, Minkun; Lindberg, David; Crane, Martin; … - 2023

In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to eliminate the risk of model...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014507911

Insurance under- and over-performance : the case of comprehensive car insurance in Poland

Kawiński, Marcin; Szumlicz, Tadeusz - 2023

Insurance is based on specific assumptions, including a "perfect performance" model. The principle of indemnification, mentioned in almost all insurance textbooks for non-life insurance, is nevertheless far more complicated than economists' perception. This complexity is a consequence of...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014446874

Weather conditions and telematics panel data in monthly motor insurance claim frequency models

Torra, Jan Reig; Guillén, Montserrat; Pérez-Marín, Ana M. - 2023

Risk analysis in motor insurance aims to identify factors that increase the frequency of accidents. Telematics data is used to measure behavioural information of drivers. Contextual variables include temperature, rain, wind and traffic conditions that are external to the driver, but may also...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014303634

Modelling motor insurance claim frequency and severity using gradient boosting

Clemente, Carina; Guerreiro, Gracinda R.; Bravo, Jorge … - 2023

Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency-severity models assume a linear relationship between a function...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014375257

Machine learning in forecasting motor insurance claims

Poufinas, Thomas; Gkonkas, Periklēs; Papadimitiou, … - 2023

Accurate forecasting of insurance claims is of the utmost importance for insurance activity as the evolution of claims determines cash outflows and the pricing, and thus the profitability, of the underlying insurance coverage. These are used as inputs when the insurance company drafts its...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014375275

AutoReserve: a web-based tool for personal auto insurance loss reserving with classical and machine learning methods

Xiong, Lu; Manathunga, Vajira; Luo, Jiyao; Dennison, … - 2023

In this paper, we developed a Shiny-based application called AutoReserve. This application serves as a tool used for a variety of types of loss reserving. The primary target audience of the app is personal auto actuaries, who are professionals in the insurance industry specializing in assessing...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014391584

The impact of the US-China trade war on the Chinese motor insurance market

Wang, Lihong - 2023

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014444094

Explaining switching behavior : consumer attention and choice in car insurance market

Kepp, Kaido; Männasoo, Kadri - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015472798

Automobile insurance fraud detection based on PSO-XGBoost model and interpretable machine learning method

Ding, Ning; Ruan, Xiao; Wang, Hao; Liu, Yuan - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015431884

Auto insurance fraud detection : leveraging cost sensitive and insensitive algorithms for comprehensive analysis

Schalck, Meryem Yankol - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015432054

A study on the current Bonus-Malus system in the moroccan automobile insurance market

Bounnite, Mohamed Yasser - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015436751

Recentering politics in risk governance : auto insurance negotiations in 1990s Baltimore

Martinez, Sarena - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015653053

Econometrics of insurance based on telematics information and machine learning

Guillén, Montserrat - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015185050

The Causes and Consequences of Rate Regulation in the Auto Insurance Industry

Russell, Thomas; Jaffee, Dwight M. - 2022

This paper examines various explanations for the increase in the degree of regulation of the auto industry in the last ten years. Using cross section data for the State of California, the paper confirms earlier findings for the State of Massachusetts that the demand for auto insurance is highly...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013322885

The Interplay Between Health Insurance and Auto Insurance : Lessons from the ACA

Taylor, Reid; Friedson, Andrew - 2022

Implementation of the Affordable Care Act (ACA) has been linked to an increase in the population covered by health insurance through expansions of the Medicaid program and revisions to private health insurance markets. We add to the body of literature on unintended consequences of the ACA by...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013293995