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Journal articles on the topic 'Re-insurance risk'

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1

Ekheden, Erland, and Ola Hössjer. "Pricing catastrophe risk in life (re)insurance." Scandinavian Actuarial Journal 2014, no. 4 (2012): 352–67. http://dx.doi.org/10.1080/03461238.2012.695747.

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2

Taylor, Zac J., and Jessica L. Weinkle. "The riskscapes of re/insurance." Cambridge Journal of Regions, Economy and Society 13, no. 2 (2020): 405–22. http://dx.doi.org/10.1093/cjres/rsaa015.

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Abstract Property catastrophe re/insurance plays a crucial yet underexplored role in the governance of disparate geographies of risk. This article extends the concept of the riskscape to the study of re/insurance in two ways. We first develop a four-part framework for understanding re/insurance markets as a series of conjoined riskscapes. Second, we apply this approach to a case study analysis of Florida’s hurricane wind re/insurance market and its restructuring after the destructive 2004/2005 hurricane seasons. Using this riskscapes framework and the Florida case, we advance a critical geogra
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3

Doganjić, Jelena, and Marija Paunović. "Natural catastrophe risk management." Tokovi osiguranja 37, no. 4 (2021): 37–70. http://dx.doi.org/10.5937/tokosig2103037d.

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Insurance and reinsurance are among the key forms of financial protection against catastrophic events. In modern times, probabilistic models have become increasingly important for assessing the risk of natural disasters, and are used to create insurance and reinsurance services intended to protect citizens, legal entities, as well as the state budget and local governments. Alternative forms of natural catastrophe reinsurance related to the securities market can also significantly help improve the market for (re) insurance against natural catastrophes.
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Pal, Ranjan, Ziyuan Huang, Sergey Lototsky, et al. "Will Catastrophic Cyber-Risk Aggregation Thrive in the IoT Age? A Cautionary Economics Tale for (Re-)Insurers and Likes." ACM Transactions on Management Information Systems 12, no. 2 (2021): 1–36. http://dx.doi.org/10.1145/3446635.

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Service liability interconnections among networked IT and IoT-driven service organizations create potential channels for cascading service disruptions due to modern cybercrimes such as DDoS, APT, and ransomware attacks. These attacks are known to inflict cascading catastrophic service disruptions worth billions of dollars across organizations and critical infrastructure around the globe. Cyber-insurance is a risk management mechanism that is gaining increasing industry popularity to cover client (organization) risks after a cyber-attack. However, there is a certain likelihood that the nature o
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Smolka, A., and A. Siebert. "Remote sensing and earthquake risk: a (re)insurance perspective." Natural Hazards 68, no. 1 (2013): 211–12. http://dx.doi.org/10.1007/s11069-013-0578-1.

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6

Marchal, Piton, Lopez-Gunn, et al. "The (Re)Insurance Industry’s Roles in the Integration of Nature-based Solutions for Prevention in Disaster Risk Reduction—Insights from a European Survey." Sustainability 11, no. 22 (2019): 6212. http://dx.doi.org/10.3390/su11226212.

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Nature-based solutions (NBS) are increasingly being considered as an option to reduce societies’ vulnerability to natural hazards, creating co-benefits while protecting ecosystem services in a context of changing climate patterns with more frequent and extreme weather events. The reinsurance and insurance industries are increasingly cited as sectors that can play a role to help manage risks, by improving disaster risk reduction (DRR) and loss prevention. This paper investigates how the (re)insurance industry could support the transition from a paradigm focused on ex-post responses to ex-ante r
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7

Mazzoccoli, Alessandro, and Maurizio Naldi. "Optimizing Cybersecurity Investments over Time." Algorithms 15, no. 6 (2022): 211. http://dx.doi.org/10.3390/a15060211.

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In the context of growing vulnerabilities, cyber-risk management cannot rely on a one-off approach, instead calling for a continuous re-assessment of the risk and adaptation of risk management strategies. Under the mixed investment–insurance approach, where both risk mitigation and risk transfer are employed, the adaptation implies the re-computation of the optimal amount to invest in security over time. In this paper, we deal with the problem of computing the optimal balance between investment and insurance payments to achieve the minimum overall security expense when the vulnerability grows
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8

Franco, Guillermo, Joseph F. Becker, and Nuria Arguimbau. "Evaluation methods of flood risk models in the (re)insurance industry." Water Security 11 (December 2020): 100069. http://dx.doi.org/10.1016/j.wasec.2020.100069.

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9

Taylor, Zac J. "The real estate risk fix: Residential insurance-linked securitization in the Florida metropolis." Environment and Planning A: Economy and Space 52, no. 6 (2020): 1131–49. http://dx.doi.org/10.1177/0308518x19896579.

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Insurance-linked securitization (ILS) plays an increasingly important role in the protection of valuable real estate markets from devaluation due to climate risk. This paper critically investigates ILS in the Florida context, where billions of dollars of residential hurricane wind exposure are securitized on behalf of re/insurers and institutional investors each year. Building on Harvey’s seminal concept of the spatial fix, it is argued that ILS represents a real estate risk fix. ILS transforms uncertain property catastrophe exposures into a liquid asset class, and in doing so turns institutio
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10

Markonah, Markonah, and Irma Selliamanik. "Underwriting Results, Investment Results and Risk Based Capital on Profit of General Insurance Companies in Indonesia." Indikator: Jurnal Ilmiah Manajemen dan Bisnis 7, no. 3 (2023): 66. http://dx.doi.org/10.22441/indikator.v7i3.21536.

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An insurance business is a business that provides services in risk re-insurance. This study aims to analyze Premium Income, Underwriting Results, Investment Returns and Risk Based Capital on Profits of General Insurance Companies in Indonesia. The method used in this study is documentation techniques through OJK reports and financial reports for 8 insurance companies in Indonesia from 2016 to 2020 so that the population is 40 data. The sampling technique is saturated sampling, where the entire population is taken as a sample, so that the total sample is 40 data. The results of the study show t
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11

Dewi, Mariana Puspa, and Wiyarni Wiyarni. "Implementation of Risk Management In PT AXA Financial Indonesia Health Insurance Products." MEC-J (Management and Economics Journal) 9, no. 1 (2025): 97–110. https://doi.org/10.18860/mec-j.v9i1.29718.

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The background of importance of risk in the insurance industry is to manage and transfer risk from individuals or groups to insurance companies. In health insurance, the main risk is unexpected medical care costs, which can burden the finances of individuals and insurance companies if not appropriately managed. The purpose of this research is to find out how risk management is implemented in insurance companies, especially AXA Financial Indonesia, what the underwriting process is in accepting and rejecting potential health insurance participants, and how PT AXA Financial Indonesia mitigates (m
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12

Liu, Guanyu. "Research on Risk Assessment and Underwriting Decision Making Based on ARIMA Model." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 1253–62. http://dx.doi.org/10.62051/0eqdm845.

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Addressing the critical challenge of extreme weather events, this study introduces a comprehensive model for enhancing insurance underwriting strategies through predictive analytics and risk assessment methodologies. Utilizing an integrated approach that combines Autoregressive Integrated Moving Average (ARIMA) for forecasting extreme weather occurrences, Fuzzy Comprehensive Evaluation for assessing regional payment capabilities, and Monte Carlo simulations for detailed risk quantification, the re-search aims to refine the insurance industry's capacity for anticipating and mitigating financial
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13

Giannikos, Christos I., Andreas Kakolyris, and Tin Shan (Michael) Suen. "On Correlation Aversion and Insurance Demand." Journal of Risk and Financial Management 17, no. 4 (2024): 136. http://dx.doi.org/10.3390/jrfm17040136.

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This is a study of decision problems under two-dimensional risk. We use an existing index of absolute correlation aversion to conveniently classify bivariate preferences, with respect to attitudes toward this risk. This classification seems to be more important than whether decision makers are correlation-averse or correlation-seeking for the study of insurance demand when a loss has a multidimensional impact. On this note, we also re-examine Mossin’s theorem under bivariate preferences, where full insurance is preferred with a fair premium, while less than full coverage is preferred with a pr
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14

Mysiak, Jaroslav, and C. Dionisio Pérez-Blanco. "Partnerships for disaster risk insurance in the EU." Natural Hazards and Earth System Sciences 16, no. 11 (2016): 2403–19. http://dx.doi.org/10.5194/nhess-16-2403-2016.

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Abstract. With increasing costs inflicted by natural hazard perils, and amidst state budget cuts, concerns are mounting about the capacity of governments to design sustainable, equitable and affordable risk management schemes. The participation of the private sector along with the public one through public–private partnerships (PPPs) has gained importance as a means of providing catastrophic natural hazard insurance to address these seemingly conflicting objectives. In 2013 the European Commission launched a wide-ranging consultation about what EU action could be appropriate to improve the per
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15

Nguyen, Viet Dung, Jeroen Aerts, Max Tesselaar, et al. "Exploring the use of seasonal forecasts to adapt flood insurance premiums." Natural Hazards and Earth System Sciences 24, no. 8 (2024): 2923–37. http://dx.doi.org/10.5194/nhess-24-2923-2024.

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Abstract. Insurance is an important element of flood risk management, providing financial compensation after disastrous losses. In a competitive market, insurers need to base their premiums on the most accurate risk estimation. To this end, (recent) historic loss data are used. However, climate variability can substantially affect flood risk, and anticipating such variations could provide a competitive gain. For instance, for a year with higher flood probabilities, the insurer might raise premiums to hedge against the increased risk or communicate the increased risk to policyholders, encouragi
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16

Mutsvene, Thomas, and Heinz Eckart Klingelhöfer. "Development of New Products for Climate Change Resilience in South Africa—The Catastrophe Resilience Bond Introduction." Journal of Risk and Financial Management 17, no. 5 (2024): 199. http://dx.doi.org/10.3390/jrfm17050199.

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Climate change has brought several natural disasters to South Africa in the form of floods, heat waves, and droughts. Neighbouring countries are also experiencing tropical cyclones, almost on a yearly basis. The insurance sector is faced with an increased level of climate change risk with individuals, corporates, and even the government approaching it for financial cover. However, with an increased level of competition in the insurance sector, (re)insurers must engage in massive product research and development. Therefore, this paper looks at the possibility of the insurance industry developin
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17

Weterings, Wim Weterings. "(Re)insurance captives, efficiency and moral hazard. An attractive manner of risk financing and risk management for companies in certain circumstances." Risk Governance and Control: Financial Markets and Institutions 4, no. 1 (2014): 7–15. http://dx.doi.org/10.22495/rgcv4i1art1.

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In this study the contribution is intended to provide more clarity and to demonstrate that under certain circumstances an insurance captive can have important efficiency effects and, among other things, a positive effect on moral hazard and adverse selection. For the purpose of acquiring more information on insurance captives and their operation, literature research was augmented by interviews conducted with the director of an insurance captive of a Dutch multinational, as well as with representatives from AON and Marsh, two major insurance brokers/consultancy firms in risk management that are
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18

Niederau, Harry, and Peter Zweifel. "Quasi Risk-Neutral Pricing in Insurance." ASTIN Bulletin 39, no. 1 (2009): 317–37. http://dx.doi.org/10.2143/ast.39.1.2038067.

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AbstractThis contribution shows that for certain classes of insurance risks, pricing can be based on expected values under a probability measure ℙ* amounting to quasi risk-neutral pricing. This probability measure is unique and optimal in the sense of minimizing the relative entropy with respect to the actuarial probability measure ℙ, which is a common approach in the case of incomplete markets. After expounding the key elements of this theory, an application to a set of industrial property risks is developed, assuming that the severity of losses can be modeled by “Swiss Re Exposure Curves”, a
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19

Sooriyaarachchi, S. K. R. N., and H. J. R. Buddhika. "The Impact of Insurance-Specific Risk on Firm Performance of Listed Insurance Companies in Sri Lanka." Journal of Management Matters 11, no. 1 (2024): 41–54. http://dx.doi.org/10.4038/jmm.v11i1.66.

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Insurance-specific risk includes challenges and uncertainties specific to the operations and functioning of insurance companies. The study therefore investigates the effect of these insurance-specific risks on the profitability of listed insurance companies in Sri Lanka over 11 years (2012-2022) with a sample size of 27 firms. Three variables, such as reinsurance, technical provisions, and underwriting risks, have been used to measure insurance-specific risk as independent variables. The Return on Equity (ROE) and Re-turn on Assets (ROA) were used to measure firm performance as the dependent v
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20

Petrović-Tomić, Nataša. "Insurance in the time of corona virus: Catastrophic risks in the light of pandemic." Pravo i privreda 59, no. 3 (2021): 326–44. http://dx.doi.org/10.5937/pip2103326p.

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In the paper is analysed pandemic of COVID-19 from the point of view of insurance market. Author starts from the assumption that insurers are the only companies that could be partners of the state in the process of administration of pandemic risk. Namely, pandemic is a kind of catastrophic and global risk that put on test not only capacities of (re)insurance market but also the readiness of the state to respond to new challenges with synchronized action with the private sector. This primarily refers to the remediation of eco-bomb consequences caused by corona virus. In order to be able to offe
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21

Zhang, Jiaxuan, and Jiuji Rong. "A Study of Property Insurance Sustainability Based on ARIMA and CGDAM-WRIR Models." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 1000–1008. http://dx.doi.org/10.62051/txm2nm61.

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The property insurance industry faces significant challenges against the backdrop of the high incidence of extreme weather events around the world. This study focuses on insurers writing policies in high-risk areas and explores how communities and real estate developers are adapting their insurance models to enhance property resilience. We provide an in-depth analysis of the impact of climate change on the sustainability of the insurance industry and use ARIMA and CGDAM-WRIR models to predict the potential losses and impacts of future extreme weather events. Finally, polynomial fitting is used
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22

Denuit, Michel. "SIZE-BIASED TRANSFORM AND CONDITIONAL MEAN RISK SHARING, WITH APPLICATION TO P2P INSURANCE AND TONTINES." ASTIN Bulletin 49, no. 03 (2019): 591–617. http://dx.doi.org/10.1017/asb.2019.24.

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AbstractUsing risk-reducing properties of conditional expectations with respect to convex order, Denuit and Dhaene [Denuit, M. and Dhaene, J. (2012). Insurance: Mathematics and Economics 51, 265–270] proposed the conditional mean risk sharing rule to allocate the total risk among participants to an insurance pool. This paper relates the conditional mean risk sharing rule to the size-biased transform when pooled risks are independent. A representation formula is first derived for the conditional expectation of an individual risk given the aggregate loss. This formula is then exploited to obtain
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23

Cupido, Kim, and Jean-Paul Van Belle. "A Digitally Enabled Strategic Sourcing Process to Mitigate Risk." Journal of Information Technology Education: Discussion Cases 6 (2017): 08. http://dx.doi.org/10.28945/3924.

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A South African insurance company is considering how to automate the process of handling home insurance repair claims in order to make the process more efficient and improve the customer experience. Should they stick with the status quo, develop their own system, purchase existing technology or employ a hybrid solution? ABC Insurance was a leading short-term insurer in South Africa. The FSB (Financial Services Board) of South Africa defined short term insurance cover as indemnification secured by the insurance purchaser over their fixed and movable assets (FSB, n.d.). Such insurable assets cou
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24

Deviar, Alfiansyah, and Djuminah Djuminah. "Pengaruh Penetrasi, Densitas Asuransi Non Jiwa dan Non-Performing Loan Perbankan terhadap Pertumbuhan Perekonomian Indonesia." Jurnal Ilmiah Akuntansi Universitas Pamulang 12, no. 1 (2024): 1–21. http://dx.doi.org/10.32493/jiaup.v12i1.34444.

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Referring to Swiss-RE data for 2020-2021, from the percentage of Non-Life Insurance Penetration and Density, the value of Non-Life Insurance Penetration and Density in Indonesia is still relatively small. This study focuses on the effect of Non-Life Insurance Penetration and Density variables on Non-Performing Loans (NPL) and GDP Growth. The scope of research is on OECD countries and Indonesia, which represent developing countries using the Granger Causality Cause method. The results show that in countries with good economic levels, such as OECD countries, Non-Life Insurance Penetration and De
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25

Olowa, Olatomide Waheed, and Omowumi Ayodele Olowa. "Determinants of Cocoa (Cacao Theobroma) Farmers Uptake of Crop Insurance: Evidence from Ekiti State." Journal of Agriculture and Crops, no. 67 (July 31, 2020): 96–104. http://dx.doi.org/10.32861/jac.67.96.104.

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Cocoa farmer faces increasing challenging environment through exposure to risks factors which have impacted negatively on their production or output. Since farmers are primary producers and often times lack capacity to control risks factor, it is important to manage this factors. This study examines the cocoa farmers’ risk preferences and crop insurance perception and isolates the drivers of decision to uptake crop insurance among cocoa farmers in Ekiti state. The sample for the study consist of 200 cocoa farmers who were household heads selected through multi-stage sampling across four Local
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Başbuğ-Erkan, B. Burcak, and Ozlem Yilmaz. "Successes and failures of compulsory risk mitigation: re-evaluating the Turkish Catastrophe Insurance Pool." Disasters 39, no. 4 (2015): 782–94. http://dx.doi.org/10.1111/disa.12129.

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27

Njegomir, Vladimir, and Jelena Demko-Rihter. "The Impact of Covid-19 on the Business of Insurers and Reinsurers." Economic Themes 59, no. 4 (2021): 445–59. http://dx.doi.org/10.2478/ethemes-2021-0025.

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Abstract According to the impact, infectious diseases are a critical risk for 2020 and the following years in the Global Risk Report. The realization of the Covid-19 virus set the pandemic as a crucial global risk for humans, the economy, and society. The main idea of this paper is to give insight into the global socio-economic consequences of the actual Covid-19 pandemic, with a specific view of the business of insurance and reinsurance companies, who are responding to the widening of the COVID-19 pandemic on multiple fronts—as claims payers, employers, and investment managers. Considering th
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Avilés, Miguel Angel Ramiro. "Compensation of Research-Related Injuries in the European Union." European Journal of Health Law 21, no. 5 (2014): 473–87. http://dx.doi.org/10.1163/15718093-12341332.

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The planned reform of the Clinical Trials Directive has re-opened the debate over how to implement and interpret research-related injuries regulation. In the European Union (eu), clinical trials are currently regulated by Directive 2001/20/ec, which establishes the provision of mandatory insurance before clinical trials commence but is silent on the system of liability. The proposed new Regulation will impact biomedical research assurance in all eu Member States because it points to insurance costs as being one of the causes of the fall in the number of clinical trials carried out in the eu. D
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29

Goyal, Rajesh. "Adaptive Health Insurance Modeling for Global Crises: Forecasting Impact of COVID-19 through Machine Learning Methods." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 1 (2025): 2169–76. https://doi.org/10.54660/.ijmrge.2025.6.1.2169-2176.

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The insurance industry is affected by the COVID-19 pandemic because it contractually covers mortality and health risks. There are many different impacts, some of which balance out the bad ones. Over the past few decades, the health insurance market has been crucial to the overall growth of the Indian insurance sector. This study suggests using COVID-19 patient data to estimate risk using a machine learning-based method. The dataset undergoes a thorough preparation process that involves normalizing it with the Min-Max scaler, handling missing values, and identifying outliers. The RF and LR clas
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Gualdi, Baptiste, Emma Binet-Stéphan, André Bahabi, Roxane Marchal, and David Moncoulon. "Modelling Fire Risk Exposure for France Using Machine Learning." Applied Sciences 12, no. 3 (2022): 1635. http://dx.doi.org/10.3390/app12031635.

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Wildfires generating damage to assets are extremely rare in France. The peril is not covered by the French natural catastrophes insurance scheme (law of 13 July 1982). In the context of the changing climate, Caisse Centrale de Réassurance—the French state-owned reinsurance company involved in the Nat Cat insurance scheme—decided to develop its knowledge on the national exposure of France to wildfire risks. Current and future forest fires events have to be anticipated in case one of the events threatens buildings. The present work introduces the development of a catastrophe loss risk model (Cat
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31

Willmot, Gordon E. "A laplace transform representation in a class of renewal queueing and risk processes." Journal of Applied Probability 36, no. 2 (1999): 570–84. http://dx.doi.org/10.1239/jap/1032374472.

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For a class of renewal queueing processes characterized by a rational Laplace–Stieltjes transform of the arrival inter-occurrence time distribution, the Laplace–Stieltjes transform of the equilibrium (actual) waiting time distribution is re-expressed in a manner which facilitates explicit inversion under certain conditions. The results are of interest in other contexts as well, as for example in insurance ruin theory. Various analytic properties of these quantities are then obtained as a result.
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Willmot, Gordon E. "A laplace transform representation in a class of renewal queueing and risk processes." Journal of Applied Probability 36, no. 02 (1999): 570–84. http://dx.doi.org/10.1017/s0021900200017320.

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For a class of renewal queueing processes characterized by a rational Laplace–Stieltjes transform of the arrival inter-occurrence time distribution, the Laplace–Stieltjes transform of the equilibrium (actual) waiting time distribution is re-expressed in a manner which facilitates explicit inversion under certain conditions. The results are of interest in other contexts as well, as for example in insurance ruin theory. Various analytic properties of these quantities are then obtained as a result.
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33

Rodda, Deepthi. "Terrorism Definiens in Terrorism Insurance." DME Journal of Law 4, no. 01 (2023): 36–47. http://dx.doi.org/10.53361/dmejl.v4i01.05.

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The terrorism insurance market is a constantly growing industry as a result of the rise in terrorism and associated violence around the world. This trend has captured the attention of the Indian insurance sector as well. More and more people, companies, and organizations are getting insurance to protect themselves in case a terrorist attack occurs in the future. However, what exactly is terrorism insurance? Is it given under the Unlawful Activities (Prevention) Amendment Act, 2008 or any other related and applicable national or state legislation formulated? Terrorism insurance offers coverage
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34

Bovis, Christopher H. "Risk in Public-Private Partnerships and Critical Infrastructure." European Journal of Risk Regulation 6, no. 2 (2015): 200–207. http://dx.doi.org/10.1017/s1867299x00004505.

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The process risk allocation is essential for effective PPP contracts, depending on the scope of defined tasks and responsibilities between the parties in their quest to deliver public services. However, risk in critical infrastructure is sui generis risk which could not be treated contractually and transferred by the public sector to the private sector or retained by the party to an arrangement which is suited best to borne such risks.Risk in critical infrastructure, being either internal or external, is endemic to the relevant services andwhen critical infrastructure is delivered by public-pr
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35

Booth, Kate, and Bruce Tranter. "When disaster strikes: Under-insurance in Australian households." Urban Studies 55, no. 14 (2017): 3135–50. http://dx.doi.org/10.1177/0042098017736257.

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In undertaking what we believe is the first national-scale study of its kind, we provide methodologically transparent, statistically robust insights into associations and potential unfolding effects of house and contents under-insurance. We identify new dimensions in the complex relationship between householders and insurance, including the salience of interpersonal – and likely institutional – trust. Under-insurance is (re)produced along socio-economic and geographical lines, with those of lower socio-economic status or living in cities more likely to be under-insured. Should a disaster strik
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36

Khare, S., A. Bonazzi, C. Mitas, and S. Jewson. "Modelling clustering of natural hazard phenomena and the effect on re/insurance loss perspectives." Natural Hazards and Earth System Sciences 15, no. 6 (2015): 1357–70. http://dx.doi.org/10.5194/nhess-15-1357-2015.

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Abstract. In this paper, we present a conceptual framework for modelling clustered natural hazards that makes use of historical event data as a starting point. We review a methodology for modelling clustered natural hazard processes called Poisson mixtures. This methodology is suited to the application we have in mind as it naturally models processes that yield cross-event correlation (unlike homogeneous Poisson models), has a high degree of tunability to the problem at hand and is analytically tractable. Using European windstorm data as an example, we provide evidence that the historical data
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37

Van den Bergh, Roger. "Compulsory Insurance of Loss to Property caused by Natural Disasters: Competition or Solidarity?" World Competition 29, Issue 1 (2006): 25–54. http://dx.doi.org/10.54648/woco2006003.

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There are three types of public intervention to make sure that property damage caused by natural disasters is compensated: ad hoc solutions, payments through compensation funds, and a compulsory catastrophe extension of property insurance contracts. The best known example of the latter approach is the French law, which imposes a mandatory catastrophe insurance on all owners of property (tying clause), fixes the premiums and arranges re-insurance by the State. This French scheme creates distortions that competition law is willing to prevent and it is also at odds with the principles of the grou
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38

Nduaguba, Sabina O., Phuong T. Tran, Yoonyoung Choi, and Almut G. Winterstein. "Respiratory syncytial virus reinfections among infants and young children in the United States, 2011–2019." PLOS ONE 18, no. 2 (2023): e0281555. http://dx.doi.org/10.1371/journal.pone.0281555.

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Background Although respiratory syncytial virus (RSV) immunoprophylaxis is recommended for high-risk infants, the American Academy of Pediatrics (AAP) recommends against immunoprophylaxis in the same season following a breakthrough hospitalization due to limited risk for a second hospitalization. Evidence in support of this recommendation is limited. We estimated population-based re-infection rates from 2011–2019 in children <5 years since RSV risk remains relatively high in this age group. Materials and methods Using claims data from private insurance enrollees, we established cohorts of c
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39

Gruber, M. "Alternative solutions for public and private catastrophe funding in Austria." Natural Hazards and Earth System Sciences 8, no. 4 (2008): 603–16. http://dx.doi.org/10.5194/nhess-8-603-2008.

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Abstract. The impacts of natural hazards as well as their frequency of occurrence during the last decades have increased decisively. Therefore, the public as well as the private sector are expected to react to this development by providing sufficient funds, in particular for the improvement of protection measures and an enhanced funding of damage compensation for affected private individuals, corporate and public entities. From the public stance, the establishment of an appropriate regulatory environment seems to be indispensable. Structural and legal changes should, on the one hand, renew and
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40

Dal Moro, Eric. "Towards an Economic Cyber Loss Index for Parametric Cover Based on IT Security Indicator: A Preliminary Analysis." Risks 8, no. 2 (2020): 45. http://dx.doi.org/10.3390/risks8020045.

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As cyber events have virtually no geographical limitations and can result in economic losses on a global scale, the assessment of return periods for such economic losses is currently debated among experts. The potential accumulation of consequential insurance losses due to intrusions or viruses is one of the major reasons why the (re-)insurance industry has limited risk appetite for cyber related risks. In order to increase the risk appetite for cyber risk and based on a first batch of data provided by Symantec, the goal of this article is to: Check if IT activity, i.e., the number of virus or
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Agboola, Muslimat Opeyemi, Popoola Abiodun, and Adabenege Yahaya Onipe. "Firm Specific Attributes and Financial Performance of Quoted Insurance Companies in Nigeria." Gusau Journal of Accounting and Finance 1, no. 2 (2022): 16–26. https://doi.org/10.5281/zenodo.6814396.

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The financial performance of Nigerian insurance firms has been seen as weak and poor. Owing to the weakness of the insurance sector, the study therefore examined the effect of insurance specific attributes on financial performance of listed insurance firms in Nigeria. The study covered a period of eleven years from 2008 to 2018. The research used correlation research design and secondary data obtained from the annual reports and accounts of firms from 2008- 2018. The population of the study is all the 27 insurance firms listed on the Nigerian Stock Exchange as at 31st December 2018, eighteen (
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Déroche, Madeleine-Sophie. "Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling." Natural Hazards and Earth System Sciences 23, no. 1 (2023): 251–59. http://dx.doi.org/10.5194/nhess-23-251-2023.

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Abstract. This paper analyses how the current loss modelling framework that was developed in the 1990s to respond to Hurricane Andrew market crisis falls short in dealing with today's complexity. In effect, beyond reflecting and supporting the current understanding and knowledge of risks, data and models are used in the assessment of situations that have not been experienced yet. To address this question, we considered the (re)insurance market's current body of knowledge on natural hazard loss modelling, the fruit of over 30 years of research conducted by (re)insurers, brokers, modelling firms
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Weterings, Wim. "The potential positive effects of captive insurance companies on efficiency and moral hazard within a group of companies." Corporate Ownership and Control 13, no. 2 (2016): 487–93. http://dx.doi.org/10.22495/cocv13i2c2p11.

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Captive insurance companies are ‘in-house’ (re)insurance companies formed with the specific objective of insuring the risks of their parent company and/or its affiliated companies. This alternative form of risk management is potentially or in fact an efficient means through which large listed or a group of companies other companies or a group of companies can protect themselves financially. In the process, the parent company has more control over how risks are insured and claims are managed. The parent company also has more insight into and is able to exercise more influence on the behaviour o
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Henderson, S. J. L. "FRONTIERS AND CHALLENGES FOR INSURERS AND BROKERS." APPEA Journal 40, no. 1 (2000): 628. http://dx.doi.org/10.1071/aj99042.

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A worsening industry claims experience generated principally by a number of significant offshore construction losses, an increase in attritional losses from wells, and a firming of the reinsurance market has forced insurance brokers and underwriters to re-evaluate the largely conventional range of products and services which it has been providing to the energy exploration and production sector for decades.Challenges posed by advances in technology, environmental pressures, the new geographical frontiers and the inevitable convergence of the insurance and capital markets has committed the energ
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Udokang, Nsisong Boniface, and G. Olafuyi Saburi. "PERCEPTION, EFFICIENCY, EFFECTIVENESS AND CHALLENGES OF MICRO INSURANCE SERVICES IN NIGERIA." GPH-International Journal of Social Science and Humanities Research 06, no. 06 (2023): 127–62. https://doi.org/10.5281/zenodo.8127381.

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This study evaluates the level of penetration of insurance firms in Nigeria using the Integrated Theoretical Review Design approach. The study similarly evaluates the mitigating factors to macro-insurance actualization in Nigeria and ends by recommending activities, models and frameworks that should be put in place to ensure a higher level of micro-insurance penetration in Nigeria. The study uncovers the fact micro-insurance operation in Nigeria is very fallow judging by the presence of only one stand-alone micro-insurance firm in the whole of Nigeria while other micro-insurance activities are
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Ramírez, Paula, Ana Milena Gil, Juan Camilo Fuentes, et al. "Risk Management Indicators in Patients with Lymphoma in Colombia." Blood 132, Supplement 1 (2018): 5852. http://dx.doi.org/10.1182/blood-2018-99-120347.

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Abstract Background: Lymphomas are the sixth most common type of cancer in adults in Colombia. According to Cuenta de Alto Costo data from health insurance companies and health providers, there were 10,928 cases (1,257 new cases reported in 2016) of lymphoma in Colombia in 2017. Consequently, it is crucial to develop an instrument to assess and monitor risk management by insurance companies and providers in adults with diagnosis of Hodgkin and non-Hodgkin lymphoma. This would eventually contribute to reduce the impact of the disease in the patients, their families, and the healthcare system. T
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Kang, Hengjin, Duo Zhang, and Shengping Kang. "A study based on the impact of extreme weather on the insurance industry." Transactions on Economics, Business and Management Research 9 (August 21, 2024): 359–66. http://dx.doi.org/10.62051/bj5jmc88.

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Extreme weather has become a significant crisis in property insurance, necessitating the avoidance of high-risk areas for investment and asset protection. This paper establishes the Underwriting Model (UM) and Underwriting Decision Model (UDM) to develop strategies that mitigate extreme weather impacts. For UM, Munich Re Worldwide statistics from 2016 to 2023 were combined with Bayes-LSTM modeling to predict the likelihood of weather and disasters on each continent over the next decade. Using the Bayes-TOPSIS model, the risk of each continent was rated, revealing Europe (0.33), North America (
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Nkeki, C. I., and G. O. S. Ekhaguere. "Some actuarial mathematical models for insuring the susceptibles of a communicable disease." International Journal of Financial Engineering 07, no. 02 (2020): 2050014. http://dx.doi.org/10.1142/s2424786320500140.

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Using epidemiological and actuarial analysis, this paper formulates some new actuarial mathematical models, called S-I-DR-S models, for insuring the susceptibles of a population exposed to a communicable disease. Epidemiologically, the population is structured into four demographic groups, namely: susceptibles [Formula: see text], infectives [Formula: see text], diseased [Formula: see text] and recovered [Formula: see text], with the latter automatically re-entering the group of susceptibles [Formula: see text]. The insurance policies are targeted at the members of the susceptible group who fa
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Brodsky, Max A., Brandi L. McClain, Jeannie Byrd, et al. "Risk Factors for 30-Day Re-Admission in Adults with Sickle Cell Disease." Blood 124, no. 21 (2014): 4086. http://dx.doi.org/10.1182/blood.v124.21.4086.4086.

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Abstract Background: Re-admission to the hospital within 30 days is a measure for quality care and a point of emphasis for reducing health care costs in individuals with chronic disease. Potentially modifiable risk factors for 30 day re-admission in children with sickle cell disease (SCD) includes not being seen in the SCD clinic within 30-days of discharge (OR 7.7, 95% CI 2.4–24.4), 3 or more admissions in the previous 12 months (OR 7.3, 95% CI 2.8–18.9) and co-morbid asthma (OR 2.9, 95% CI 1.2–7.3) (Pediatr Blood Cancer. 2009 Apr;52(4):481-5). Limited data exists regarding potentially modifi
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Roessali, W., M. Mukson, S. Nurfadillah, and K. Budiraharjo. "Farmer’s perceptions on risk and determinants of risk management strategy in integrated cattle and crops farming systems." Journal of the Indonesian Tropical Animal Agriculture 47, no. 2 (2021): 146–54. http://dx.doi.org/10.14710/jitaa.47.2.146-154.

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The research was conducted to analyze farmers’ risk perceptions and factors that influence farm-ers' decisions in implementing risk management strategies to integrated farming of cattle and crops. This study used a survey method by conducting interviews to 150 respondents who were divided into two patterns based on the composition of the farming practice. Pattern I practice cattle-rice-corn-rice business and Pattern II practices cattle-rice-corn-soybean in Grobogan District, Central Java, Indone-sia. Data were collected in January - May 2019 and were analyzed using probit model on the risk man
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