Search Results - subject_exact:"Einbruchdiebstahlversicherung"

Measuring the impact of property insurance premiums on the mortgage market

Meisenzahl, Ralf R.; Polacek, Andy; Ramnath, Shanthi; … - 2026

We document that increases in property insurance premiums reduce mortgage originations. The effect is strongest for the rate refinancing and cash-out refinancing segments. We show that denials associated with increased premiums are significantly more likely attributed to high debt-to-income...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015591522

Insurers' loss portfolio similarity and climate risk insurance cost : a spatial analysis of US homeowners insurance market

Sun, Tao - 2025

This study examines the geographical spillover of the state-level average homeowners insurance cost for 48 US contiguous states. We estimate a panel spatial Durbin model with state and year fixed effect for data between 2001 and 2018. We found a significant positive spillover of average...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015334604

Risk modeling of property insurance claims from weather events

Gao, Yixing; Shi, Peng - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015450031

An overview of social inflation in the US property and casualty insurance industry in 2025

Badiel, Marie-Laure; Dionne, Georges - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015627383

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://ebvufind01.dmz1.zbw.eu/10014391584

Paying a high premium : how climate change is crippling homeowner's insurance and fueling a housing crisis

Semenova, Alla - 2026

This paper examines the growing impacts of climate change in the US homeowner's insurance industry. As climate change-driven weather extremes and natural disasters have accelerated in their frequency and severity, they have inflicted increasingly more residential property damage and destruction,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015644047

Housing supply, property insurance, and exposure to wildfire risk

Ospital, Augusto - 2026

Over the past decades, about half of new U.S. homes were built in areas exposed to natural hazards. I argue that regulated property-insurance pricing and land-use constraints help explain this pattern. I study San Diego, where wildfire premiums are compressed by regulation and safer locations...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638340

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Housing supply, property insurance, and exposure to wildfire risk

Ospital, Augusto - 2026

Book / Working Paper

Does property insurance promote corporate innovation? : evidence from China

Yang, Feiyan; Ren, Jiahui; Yang, Junjie; Zhang, Yuchuan; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015371447

Digitalisation and cream skimming adverse selection in the property-casualty insurance industry : evidence from China

Yang, Feiyan; Ren, Jiahui; Xia, Changyuan - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015450587

The Bronx is burning : urban disinvestment effects of the fair access to insurance requirements

Ellen, Ingrid Gould; Hartley, Daniel A.; Lin, Jeffrey; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015407033

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The Bronx is burning : urban disinvestment effects of the fair access to insurance requirements

Ellen, Ingrid Gould; Hartley, Daniel A.; Lin, Jeffrey; … - 2024

Book / Working Paper

Natural disasters and regulatory constraints : U.S. homeowners insurer market responses

Telljohann, Dana; Born, Patricia; Karl, J. Bradley - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015552913

Economics of property insurance

Jung, Hyeyoon; Jung, Jaehoon - 2025

We study the economics of homeowners' property insurance by examining how contract design balances the trade-off between incentive alignment and risk sharing. Using granular contract-level property insurance data merged with property-level disaster risk for millions of U.S. households, we...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015550143

Insurers' investments and insurance prices

Knox, Benjamin; Sørensen, Jakob Ahm - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015056350

3. Evaluating project management approaches: a property and casualty insurance company

Belling, Shawn D. - 2025

This case study examines the decision-making processes of an insurance company as it evolves its project practices. The case examines the organization's journey through its leadership and technical departments as they determined that pure scrum was not delivering on their value expectations. The...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015603578

Disaster insurance swaps

Turnbull, Stuart M. - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653238

Consolidation of the US property and casualty insurance industry : is climate risk a causal factor for mergers and acquisitions?

Dionne, Georges; Fenou, Akouété; Mnasri, Mohamed - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013549867

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Consolidation of the US Property and Casualty Insurance Industry : Is Climate Risk a Causal Factor for Mergers and Acquisitions?

Dionne, Georges; Fenou, Akouété; Mnasri, Mohamed - 2023

Book / Working Paper

Consolidation of the US property and casualty insurance industry : is climate risk a causal factor for mergers and acquisitions? : (final report)

Dionne, Georges; Fenou, Akouété; Mnasr, Mohamed - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014234012

Optimal labor and capital utilization by financial firms : evidence from the German property and casualty insurance industry

Eling, Martin; Lehmann, Martin; Schaper, Philipp - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013438878

Hurricane risk and property insurance in Poland

Bak, Joanna - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013502744

IFRS17 Measurement of Property & Casualty Insurance Contracts

Ward, Brett - 2023

IFRS 17 introduces the concept of a risk adjustment that compensates insurers for the uncertainty about the amount and timing of the cash flows that arise from non-financial risks. The method for its calculation is not prescribed and several options are emerging, including value at risk and cost...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014354632

Developing a Homeowners Insurance Policy Comparison Tool—RU InsureScore

Feinman, Jay M. - 2023

Homeowners need easily understandable information about insurance policies in order to evaluate their current coverage and to shop effectively for insurance. But insurance is the only product for which consumers don’t know what they are buying before they buy it. Insurance companies almost...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014355767

Consideration of intellectual property insurance essence

Kyazim, Panar - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013170380

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Consideration of Intellectual Property Insurance Essence

Kyazim, Panar - 2022

Book / Working Paper

What drives property insurance demand in Croatia?

Krišto, Jakša; Gardijan Kedžo, Margareta; … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015080819

The Demand for Home and Property Insurance in Nigeria

Kelikume, Ikechukwu; Otonne, Adewumi - 2022

The demand for insurance, notably home and property insurance in Nigeria, is unresearched and ignored, coupled with the low level of patronage and penetration rate amidst the numerous insurance scheme to boost the performance of the insurance industry. This study, therefore, contributes to the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013403927

Learning from natural disasters : evidence from enterprise property insurance take-up in China

Ding, Yugang; Deng, Peiyun - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015123311

Protection Gaps in Homeowners Insurance

Feinman, Jay M. - 2022

In the past few years the insurance community has paid increasing attention to the concept of “protection gaps”—the extent to which significant losses are not covered by insurance. Homeowners insurance is a key area in which these discussions have occurred, particularly as natural...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013298218

World property series

Capgemini Research Institute; European Financial … - [Paris] : [Capgemini] - 2022-

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014288492

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World property series

Capgemini Research Institute; European Financial … - [Paris] : [Capgemini] - 2022-

Journal

Severe weather events, property insurance & municipal credit

2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015552188

Learning, Catastrophic Risk and Ambiguity in the Climate Change Era

Moore, Frances - 2024

Key methodologies used for managing weather risks have relied on the assumption that climate is not changing and that the historic weather record is therefore representative of current risks. Anthropogenic climate change upends this assumption, effectively reducing the information available to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014635647

The impact of hurricanes on a property portfolio : an empirical study based on loss data in Portugal

Hauser, Andrea; Rosa, Carlos; Esteves, Rui; Bugalho, Lourdes - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015049056

The influence of uncertainty on financial reporting behavior : the case of P&C insurers

Ames, Daniel; Lao, Brent; Sankara, Jomo; Wood, Justin - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014541966

Property Insurance and Disaster Risk : New Evidence from Mortgage Escrow Data

Keys, Benjamin J.; Mulder, Philip - 2024

We develop a new dataset to study homeowners insurance. Our data on over 47 million observations of households' property insurance expenditures from 2014-2023 are inferred from mortgage escrow payments. First, we find a sharp 33% increase in average premiums from 2020 to 2023 (13% in real terms)...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014576608

How Are Insurance Markets Adapting to Climate Change? Risk Selection and Regulation in the Market for Homeowners Insurance

Boomhower, Judson; Fowlie, Meredith; Gellman, Jacob; … - 2024

As climate risk escalates, property insurance is critical to reduce the risk exposure of households and firms and to aid recovery when disasters strike. To perform these functions efficiently, insurers need to access high quality information about disaster risk and set prices that accurately...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014576654

Outcomes of the 2021 General Insurance Industry Stress Test

Nicholls, Ken; Samarasekera, Roshane - 2021

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012659065

Managing Annual Accounting Reports to Avoid State Taxes : An Analysis of Property-Casualty Insurers

Petroni, Kathy Ruby; Shackelford, Douglas A. - 2021

We hypothesize that, in their annual accounting reports, insurers allocate premiums and losses from multistate policies to reduce total state taxes. To test this prediction, we examine firm-level data, collected from the publicly-available statutory reports used to compute tax bases and filed...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013220791

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Managing Annual Accounting Reports to Avoid State Taxes : An Analysis of Property-Casualty Insurers

Petroni, Kathy R. - 1998

Book / Working Paper

Machine learning in P&C insurance : a review for pricing and reserving

Blier-Wong, Christopher; Cossette, Hélène; Lamontagne, Luc - 2021

In the past 25 years, computer scientists and statisticians developed machine learning algorithms capable of modeling highly nonlinear transformations and interactions of input features. While actuaries use GLMs frequently in practice, only in the past few years have they begun studying these...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012422891

Machine Learning in Property and Casualty Insurance : A Review for Pricing and Reserving

Blier-Wong, Christopher; Cossette, Hélène; Lamontagne, Luc - 2020

In the past 25 years, computer scientists and statisticians developed machine learning algorithms capable of modeling highly non-linear transformations and interactions of input features. While actuaries use GLMs frequently in practice, only in the past few years have they begun studying these...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014352085

Application of a vine copula for multi-line insurance reserving

Jeong, Himchan; Dey, Dipak - 2020

This article introduces a novel use of the vine copula which captures dependence among multi-line claim triangles, especially when an insurance portfolio consists of more than two lines of business. First, we suggest a way to choose an optimal joint loss development model for multiple lines of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012385102

Analysis of Real Property Insurance Market in Azerbaijan

Islamli, Nigar - 2020

This research paper indicates the latest situation in the insurance market about real property insurance after fires. It emphasizes the function of insurance in the economic development of the Azerbaijan economy. The primary aim of this research is to analyze the current state of the real...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012825168

Estimating spillover effects in property and casualty insurance consumption

Bujakowski, Douglas; Kamiya, Shinichi - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014320635

Portfolio choice : familiarity, hedging, and industry bias

Che, Xin; Liebenberg, Andre P.; Lynch, Andrew A. - 2021

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012705195

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Portfolio Choice : Familiarity, Hedging, and Industry Bias

Che, Xin - 2020

Book / Working Paper

Adverse selection and moral hazard in corporate insurance markets : evidence from the 2011 Thailand floods

Adachi, Daisuke; Nakata, Hiroyuki; Sawada, Yasuyuki; … - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014416187

Insurance claims fraud in homeowner's insurance : empirical evidence from the Nigerian insurance industry

Ajemunigbohun, Sunday Stephen; Isimoya, Ogochunkwu Augustine - 2019

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012267254

The Protection Gap in Homeowners Insurance : An Introduction

Feinman, Jay M. - 2019

In the past few years the insurance community has paid increasing attention to the “protection gap”—the extent to which significant property losses are not covered by insurance. Because insurance plays an important economic and social role in many ways, the protection gap is significant to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012862992

Residential property insurance and markets : Florida's QUASR data

Dumm, Randy; Eckles, David L. - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013275443

Model mortality rates using property and casualty insurance reserving methods

Tsai, Cary Chi-Liang; Kim, Seyeon - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013380573

Public flood risk mitigation and the homeowner's insurance demand response

Borsky, Stefan; Hennighausen, Hannah - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013396399

The 30th anniversary of hurricane Andrew : evolution of the Florida homeowners insurance market

Carrillo, Gabriel; Telljohann, Dana; Nyce, Charles - 2022

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013410784

Supplying insurance for natural disasters : a retrospective study of property insurer strategies

Born, Patricia; Karl, J. Bradley - 2022

Natural disasters have always challenged property insurers due to their fundamental nature and unpredictability. The challenge continues despite significant improvements in catastrophe modelling, growing opportunities for data analytics, and an increasing number of alternative risk transfer...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013532291

The economic and fiscal burdens of disasters in the Pacific

Noy, Ilan; Edmonds, Christopher M. - 2016

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011591896

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The economic and fiscal burdens of disasters in the Pacific

Noy, Ilan; Edmonds, Christopher M. - 2016

Book / Working Paper

The Economic and Fiscal Burdens of Disasters in the Pacific

Noy, Ilan - 2017

Book / Working Paper