An Evaluation of the New Japanese Bonus–Malus System with No-claim and Claimed Subclasses

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mahito Okura ◽  
Takuya Yoshizawa ◽  
Motohiro Sakaki

AbstractThe purpose of this research is to evaluate the new Japanese Bonus–Malus System (BMS 2012) in automobile insurance, which is an unusual system wherein both no-claim and claimed subclasses exist. To evaluate BMS 2012, we conduct a simulation analysis and compare BMS 2012 with the former Japanese BMS (BMS 2009) in terms of the present value of the total insurance premium that is closely related to the frequency of insurance claims. Based on the comparison, our main conclusion is that BMS 2012 offers more effects to lower the frequency of insurance claims than BMS 2009 does when the policyholders’ classes in BMS are high classes that evaluate as safety drivers, time discount and/or renewal rates are relatively low, and the policyholders’ risk averseness is large.

Author(s):  
Ezzaim Soufiane ◽  
Salah-Eddine EL Baghdadi ◽  
Aissam Berrahou ◽  
Abderrahim Mesbah ◽  
Hassan Berbia

Author(s):  
Sri Handayani

Sri Handayani; Insurance claims are the demands of the insured party in connection with the contract between the insurer with the insured person that each of the parties bind themselves to guarantee the payment of compensation by penaggung if insurance premium payments have been made by the insured party, when the disaster suffered by the insured person. This study aimed to examine the effect of the settlement of insurance claims against insurance product sales target AJB BUMIPUTERA 1912 Cabang Bengkulu. The sample in this study is the settlement of insurance claims and insurance product sales target AJB BUMIPUTERA 1912 Cabang bengkulu observation period of 5 years. The method used is the correlation coefficient. These results indicate that a growing number of insurance claims are settled, the higher the achievement of sales of insurance products offered AJB BUMIPUTERA 1912 cabang Bengkulu.Key words: Insurance claims


2021 ◽  
pp. 1-29
Author(s):  
Shengwang Meng ◽  
He Wang ◽  
Yanlin Shi ◽  
Guangyuan Gao

Abstract Novel navigation applications provide a driving behavior score for each finished trip to promote safe driving, which is mainly based on experts’ domain knowledge. In this paper, with automobile insurance claims data and associated telematics car driving data, we propose a supervised driving risk scoring neural network model. This one-dimensional convolutional neural network takes time series of individual car driving trips as input and returns a risk score in the unit range of (0,1). By incorporating credibility average risk score of each driver, the classical Poisson generalized linear model for automobile insurance claims frequency prediction can be improved significantly. Hence, compared with non-telematics-based insurers, telematics-based insurers can discover more heterogeneity in their portfolio and attract safer drivers with premiums discounts.


2014 ◽  
Vol 44 (2) ◽  
pp. 173-195 ◽  
Author(s):  
Catherine Donnelly ◽  
Martin Englund ◽  
Jens Perch Nielsen

AbstractWe put one of the predictions of adverse-selection models to the test, using data from the Danish automobile insurance market: that there is a positive correlation between claims risk and insurance coverage. We can find a statistically significant insurance coverage--risk correlation when coverage is expressed relative to the insurance premium, but not when it is expressed in monetary terms.


Author(s):  
JOZEF REPISKÝ

The paper is focused on creation and evaluation of the investment project of establishing vineyard with risk taken into consideration via a simulation model. The basis of this work was the creation of a multi period balance model and formation of different variants of the individual projects which differ in production volume and mean of financing. The model accepts to full extent initial decisions on the supposed yields, selling prices and the way of depreciation of vineyard and its fencing. In other parts of the model, the investor introduces only prices per unit of labour to services such as pre-agglomeration of land, vineyard plantation and its cultivation in different years, fencing and supporting construction and all other calculations are done automatically representing the intermediate results and model outputs. Part of the model covering the loan gives information on total initial costs of the projects including working capital and total capital costs. They are financed from equity, loans, and subsidies. The main evaluation criterion of the deterministic calculations was the net present value which takes into consideration the time factor and belongs among the dynamic methods. By means of sensitivity and simulation analysis is possible to identify an appropriate investment strategy under the risk conditions. The risk factors, which were identified by sensitivity analysis, are defined as random variables with certain probability distribution. Critical values of target criterion give information value which we can expect with willingness to tolerate given risk quantification. The spreadsheet model allows to simulate various financial investment and credit and depreciation procedures. The multi-period model allows for the assessment of individual investment intentions through the Net Present Value indicator and through the sensitivity and simulation analysis to identify the most appropriate investment strategy under risk conditions. The risk factors, which were identified by sensitivity analysis are defined as random variables with certain probability distribution in stochastic model. Critical values of target criterion give information which value can we expect with willingness to tolerate given risk quantification. The multi-period balance model can also be transformed into an optimization model by a suitable adjustment. Key words: investment decision making, net present value, risk analysis, modeling analysis, risk, uncertainty, viticulture, investment project.


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