Results 21 to 30 of about 6,066 (163)
The decarbonization transition and U.S. electricity markets: Impacts and innovations
WIREs Energy and Environment, Volume 11, Issue 6, November/December 2022., 2022 Regulated and restructured market models in the US. Abstract Several factors in recent years have converged in the U.S. to spur a focused effort on decarbonizing the electricity sector. First, in response to the threat of climate change, policy at all levels of governance is increasingly promoting and incentivizing the deployment of zero carbon ...
John P. Banks
wiley +1 more source
Risk, crop yields, and weather index insurance in village India
Journal of the Agricultural and Applied Economics Association, Volume 1, Issue 1, Page 61-81, April 2022., 2022 We investigate the sources of variability in agricultural production and their relative importance in the context of weather index insurance for smallholder farmers in India. Seasonal variation in weather accounts for 19‐20 percent of total variance in crop yields.
Jeffrey D. Michler +2 more
wiley +1 more source
Pricing strategies in the German term life insurance market: An empirical analysis
Risk Management and Insurance Review, Volume 25, Issue 1, Page 19-34, Spring 2022., 2022 Abstract The life insurance sector is highly regulated. Areas of regulation include not only solvency requirements but also product pricing. In most industries, companies aim to increase producer rents by using information regarding the customer's willingness to pay (WTP), which allows them to endeavor price discrimination if no perfect competition ...
Jonas R. Jahnert +2 more
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Near‐miss telematics in motor insurance
Journal of Risk and Insurance, Volume 88, Issue 3, Page 569-589, September 2021., 2021 Abstract We present a method to integrate telematics data in a pay‐how‐you‐drive insurance pricing scheme that penalizes some near‐miss events. We illustrate our method with a sample of drivers for whom information on near‐miss events and claims frequency records are available. We discuss the implications for motor insurance ratemaking.
Montserrat Guillen +2 more
wiley +1 more source
Journal of Agricultural Economics, Volume 72, Issue 1, Page 244-267, February 2021., 2021 Abstract We employ a discrete choice experiment to elicit demand and supply side preferences for insurance‐linked credit, a promising market‐based tool for managing agricultural weather risks and providing access to credit for farmers. We estimate preference heterogeneity using primary data from smallholder farmers and managers of lenders/insurers ...
Apurba Shee, Calum G. Turvey, Ana Marr
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Claim Amount Forecasting and Pricing of Automobile Insurance Based on the BP Neural Network
Complexity, Volume 2021, Issue 1, 2021., 2021 The BP neural network model is a hot issue in recent academic research, and it has been successfully applied to many other fields, but few researchers apply the BP neural network model to the field of automobile insurance. The main method that has been used in the prediction of the total claim amount in automobile insurance is the generalized linear ...
Wenguang Yu +9 more
wiley +1 more source
Insurance Products Ratemaking and Insurance Company Financial Solvency Ratio Calculation via Potential Deviation Ratio Method [PDF]
تحقیقات مالی, 2019 Objective: The goal of this research is to calculate the amount which must be paid for a fair premium based on the principle of equity and the financial solvency ratio of an insurance company based on the principle of equivalence, via potential deviation
Saeed Shirkavand +2 more
doaj +1 more source
Risks, 2021 A comprehensive auto insurance policy usually provides the broadest protection for the most common events for which the policyholder would file a claim.
Emilio Gómez-Déniz +1 more
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ASTIN Bulletin, 2017 AbstractWe start by describing how, in some cases, we can use variance-related premium principles in ratemaking, when the claim numbers and individual claim amounts are independent. We use quasi-likelihood generalized linear models, under the assumption that the variance function is a power function of the mean of the underlying random variable.
Silva, João Andrade e +1 more
openaire +2 more sources
Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting
Risks, 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
Carina Clemente +2 more
doaj +1 more source