Modelling European winter wind storm losses in current and future climate

Severe wind storms are one of the major natural hazards in the extratropics and inflict substantial economic damages and even casualties. Insured storm-related losses depend on (i) the frequency, nature and dynamics of storms, (ii) the vulnerability of the values at risk, (iii) the geographical distribution of these values, and (iv) the particular conditions of the risk transfer. It is thus of great importance to assess the impact of climate change on future storm losses. To this end, the current study employs—to our knowledge for the first time—a coupled approach, using output from high-resolution regional climate model scenarios for the European sector to drive an operational insurance loss model. An ensemble of coupled climate-damage scenarios is used to provide an estimate of the inherent uncertainties. Output of two state-of-the-art global climate models (HadAM3, ECHAM5) is used for present (1961–1990) and future climates (2071–2100, SRES A2 scenario). These serve as boundary data for two nested regional climate models with a sophisticated gust parametrizations (CLM, CHRM). For validation and calibration purposes, an additional simulation is undertaken with the CHRM driven by the ERA40 reanalysis. The operational insurance model (Swiss Re) uses a European-wide damage function, an average vulnerability curve for all risk types, and contains the actual value distribution of a complete European market portfolio. The coupling between climate and damage models is based on daily maxima of 10 m gust winds, and the strategy adopted consists of three main steps: (i) development and application of a pragmatic selection criterion to retrieve significant storm events, (ii) generation of a probabilistic event set using a Monte-Carlo approach in the hazard module of the insurance model, and (iii) calibration of the simulated annual expected losses with a historic loss data base. The climate models considered agree regarding an increase in the intensity of extreme storms in a band across central Europe (stretching from southern UK and northern France to Denmark, northern Germany into eastern Europe). This effect increases with event strength, and rare storms show the largest climate change sensitivity, but are also beset with the largest uncertainties. Wind gusts decrease over northern Scandinavia and Southern Europe. Highest intra-ensemble variability is simulated for Ireland, the UK, the Mediterranean, and parts of Eastern Europe. The resulting changes on European-wide losses over the 110-year period are positive for all layers and all model runs considered and amount to 44% (annual expected loss), 23% (10 years loss), 50% (30 years loss), and 104% (100 years loss). There is a disproportionate increase in losses for rare high-impact events. The changes result from increases in both severity and frequency of wind gusts. Considerable geographical variability of the expected losses exists, with Denmark and Germany experiencing the largest loss increases (116% and 114%, respectively). All countries considered except for Ireland (−22%) experience some loss increases. Some ramifications of these results for the socio-economic sector are discussed, and future avenues for research are highlighted. The technique introduced in this study and its application to realistic market portfolios offer exciting prospects for future research on the impact of climate change that is relevant for policy makers, scientists and economists.

Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000

Interest in attributing the risk of damaging weather-related events to anthropogenic climate change is increasing1. Yet climate models used to study the attribution problem typically do not resolve the weather systems associated with damaging events2 such as the UK floods of October and November 2000. Occurring during the wettest autumn in England and Wales since records began in 17663, 4, these floods damaged nearly 10,000 properties across that region, disrupted services severely, and caused insured losses estimated at £1.3 billion (refs 5, 6). Although the flooding was deemed a ‘wake-up call’ to the impacts of climate change at the time7, such claims are typically supported only by general thermodynamic arguments that suggest increased extreme precipitation under global warming, but fail8, 9 to account fully for the complex hydrometeorology4, 10 associated with flooding. Here we present a multi-step, physically based ‘probabilistic event attribution’ framework showing that it is very likely that global anthropogenic greenhouse gas emissions substantially increased the risk of flood occurrence in England and Wales in autumn 2000. Using publicly volunteered distributed computing11, 12, we generate several thousand seasonal-forecast-resolution climate model simulations of autumn 2000 weather, both under realistic conditions, and under conditions as they might have been had these greenhouse gas emissions and the resulting large-scale warming never occurred. Results are fed into a precipitation-runoff model that is used to simulate severe daily river runoff events in England and Wales (proxy indicators of flood events). The precise magnitude of the anthropogenic contribution remains uncertain, but in nine out of ten cases our model results indicate that twentieth-century anthropogenic greenhouse gas emissions increased the risk of floods occurring in England and Wales in autumn 2000 by more than 20%, and in two out of three cases by more than 90%.

Estimation of wind storm impacts over Western Germany under future climate conditions using a statistical-dynamical downscaling approach

A statistical–dynamical regionalization approach is developed to assess possible changes in wind storm impacts. The method is applied to North Rhine-Westphalia (Western Germany) using the FOOT3DK mesoscale model for dynamical downscaling and ECHAM5/OM1 global circulation model climate projections. The method first classifies typical weather developments within the reanalysis period using K-means cluster algorithm. Most historical wind storms are associated with four weather developments (primary storm-clusters). Mesoscale simulations are performed for representative elements for all clusters to derive regional wind climatology. Additionally, 28 historical storms affecting Western Germany are simulated. Empirical functions are estimated to relate wind gust fields and insured losses. Transient ECHAM5/OM1 simulations show an enhanced frequency of primary storm-clusters and storms for 2060–2100 compared to 1960–2000. Accordingly, wind gusts increase over Western Germany, reaching locally +5% for 98th wind gust percentiles (A2-scenario). Consequently, storm losses are expected to increase substantially (+8% for A1B-scenario, +19% for A2-scenario). Regional patterns show larger changes over north-eastern parts of North Rhine-Westphalia than for western parts. For storms with return periods above 20 yr, loss expectations for Germany may increase by a factor of 2. These results document the method's functionality to assess future changes in loss potentials in regional terms.

Property loss potentials for European midlatitude storms in a changing climate

Winter storms of the midlatitudes are an important factor for property losses caused by natural hazards over Europe. The storm series in early 1990 and late 1999 led to enormous economic damages and insured claims. Although significant trends in North Atlantic/European storm activity have not been identified for the last few decades, recent studies provide evidence that under anthropogenic climate change the number of extreme storms could increase, whereas the total number of cyclones may be slightly reduced. In this study, loss potentials derived from an ensemble of climate models using a simple storm damage model under climate change conditions are shown. For the United Kingdom and Germany ensemble-mean storm-related losses are found to increase by up to 37%. Furthermore, the interannual variability of extreme events will increase leading to a higher risk of extreme storm activity and related losses.

Changing European storm loss potentials under modified climate conditions according to ensemble simulations of the ECHAM5/MPI-OM1 GMC

A simple storm loss model is applied to an ensemble of ECHAM5/MPI-OM1 GCM simulations in order to estimate changes of insured loss potentials over Europe in the 21st century. Losses are computed based on the daily maximum wind speed for each grid point. The calibration of the loss model is performed using wind data from the ERA40-Reanalysis and German loss data. The obtained annual losses for the present climate conditions (20C, three realisations) reproduce the statistical features of the historical insurance loss data for Germany. The climate change experiments correspond to the SRES-Scenarios A1B and A2, and for each of them three realisations are considered. On average, insured loss potentials increase for all analysed European regions at the end of the 21st century. Changes are largest for Germany and France, and lowest for Portugal/Spain. Additionally, the spread between the single realisations is large, ranging e.g. for Germany from −4% to +43% in terms of mean annual loss. Moreover, almost all simulations show an increasing interannual variability of storm damage. This assessment is even more pronounced if no adaptation of building structure to climate change is considered. The increased loss potentials are linked with enhanced values for the high percentiles of surface wind maxima over Western and Central Europe, which in turn are associated with an enhanced number and increased intensity of extreme cyclones over the British Isles and the North Sea.

Projections of global warming-induced impacts on winter storm losses in the German private household sector

We present projections of winter storm-induced insured losses in the German residential building sector for the 21st century. With this aim, two structurally most independent downscaling methods and one hybrid downscaling method are applied to a 3-member ensemble of ECHAM5/MPI-OM1 A1B scenario simulations. One method uses dynamical downscaling of intense winter storm events in the global model, and a transfer function to relate regional wind speeds to losses. The second method is based on a reshuffling of present day weather situations and sequences taking into account the change of their frequencies according to the linear temperature trends of the global runs. The third method uses statistical-dynamical downscaling, considering frequency changes of the occurrence of storm-prone weather patterns, and translation into loss by using empirical statistical distributions. The A1B scenario ensemble was downscaled by all three methods until 2070, and by the (statistical-) dynamical methods until 2100. Furthermore, all methods assume a constant statistical relationship between meteorology and insured losses and no developments other than climate change, such as in constructions or claims management. The study utilizes data provided by the German Insurance Association encompassing 24 years and with district-scale resolution. Compared to 1971–2000, the downscaling methods indicate an increase of 10-year return values (i.e. loss ratios per return period) of 6–35 % for 2011–2040, of 20–30 % for 2041–2070, and of 40–55 % for 2071–2100, respectively. Convolving various sources of uncertainty in one confidence statement (data-, loss model-, storm realization-, and Pareto fit-uncertainty), the return-level confidence interval for a return period of 15 years expands by more than a factor of two. Finally, we suggest how practitioners can deal with alternative scenarios or possible natural excursions of observed losses.

The use of remotely sensed rainfall for managing drought risk: a case study of weather index insurance in Zambia

Remotely sensed rainfall is increasingly being used to manage climate-related risk in gauge sparse regions. Applications based on such data must make maximal use of the skill of the methodology in order to avoid doing harm by providing misleading information. This is especially challenging in regions, such as Africa, which lack gauge data for validation. In this study, we show how calibrated ensembles of equally likely rainfall can be used to infer uncertainty in remotely sensed rainfall estimates, and subsequently in assessment of drought. We illustrate the methodology through a case study of weather index insurance (WII) in Zambia. Unlike traditional insurance, which compensates proven agricultural losses, WII pays out in the event that a weather index is breached. As remotely sensed rainfall is used to extend WII schemes to large numbers of farmers, it is crucial to ensure that the indices being insured are skillful representations of local environmental conditions. In our study we drive a land surface model with rainfall ensembles, in order to demonstrate how aggregation of rainfall estimates in space and time results in a clearer link with soil moisture, and hence a truer representation of agricultural drought. Although our study focuses on agricultural insurance, the methodological principles for application design are widely applicable in Africa and elsewhere.

Insuring cleaner oceans: the economics of oil pollution prevention

The current system of controlling oil spills involves a complex relationship of international, federal and state law, which has not proven to be very effective. The multiple layers of regulation often leave shipowners unsure of the laws facing them. Furthemore, nations have had difficulty enforcing these legal requirements. This thesis deals with the role marine insurance can play within the existing system of legislation to provide a strong preventative influence that is simple and cost-effective to enforce. In principle, insurance has two ways of enforcing higher safety standards and limiting the risk of an accident occurring. The first is through the use of insurance premiums that are based on the level of care taken by the insured. This means that a person engaging in riskier behavior faces a higher insurance premium, because their actions increase the probability of an accident occurring. The second method, available to the insurer, is collectively known as cancellation provisions or underwriting clauses. These are clauses written into an insurance contract that invalidates the agreement when certain conditions are not met by the insured The problem has been that obtaining information about the behavior of an insured party requires monitoring and that incurs a cost to the insurer. The application of these principles proves to be a more complicated matter. The modern marine insurance industry is a complicated system of multiple contracts, through different insurers, that covers the many facets of oil transportation. Their business practices have resulted in policy packages that cross the neat bounds of individual, specific insurance coverage. This paper shows that insurance can improve safety standards in three general areas -crew training, hull and equipment construction and maintenance, and routing schemes and exclusionary zones. With crew, hull and equipment, underwriting clauses can be used to ensure that minimum standards are met by the insured. Premiums can then be structured to reflect the additional care taken by the insured above and beyond these minimum standards. Routing schemes are traffic flow systems applied to congested waterways, such as the entrance to New York harbor. Using natural obstacles or manmade dividers, ships are separated into two lanes of opposing traffic, similar to a road. Exclusionary zones are marine areas designated off limits to tanker traffic either because of a sensitive ecosystem or because local knowledge is required of the region to ensure safe navigation. Underwriting clauses can be used to nullify an insurance contract when a tanker is not in compliance with established exclusionary zones or routing schemes.

Non-monotone insurance contracts and their empirical consequences

The goal of this paper is to show the possibility of a non-monotone relation between coverage ans risk which has been considered in the literature of insurance models since the work of Rothschild and Stiglitz (1976). We present an insurance model where the insured agents have heterogeneity in risk aversion and in lenience (a prevention cost parameter). Risk aversion is described by a continuous parameter which is correlated with lenience and for the sake of simplicity, we assume perfect correlation. In the case of positive correlation, the more risk averse agent has higher cosr of prevention leading to a higher demand for coverage. Equivalently, the single crossing property (SCP) is valid and iplies a positive correlation between overage and risk in equilibrium. On the other hand, if the correlation between risk aversion and lenience is negative, not only may the SCP be broken, but also the monotonocity of contracts, i.e., the prediction that high (low) risk averse types choose full (partial) insurance. In both cases riskiness is monotonic in risk aversion, but in the last case there are some coverage levels associated with two different risks (low and high), which implies that the ex-ante (with respect to the risk aversion distribution) correlation between coverage and riskiness may have every sign (even though the ex-post correlation is always positive). Moreover, using another instrument (a proxy for riskiness), we give a testable implication to desentangle single crossing ans non single croosing under an ex-post zero correlation result: the monotonicity of coverage as a function os riskiness. Since by controlling for risk aversion (no asymmetric information), coverage is monotone function of riskiness, this also fives a test for asymmetric information. Finally, we relate this theoretical results to empirical tests in the recent literature, specially the Dionne, Gouruéroux and Vanasse (2001) work. In particular, they found an empirical evidence that seems to be compatible with asymmetric information and non single crossing in our framework. More generally, we build a hidden information model showing how omitted variables (asymmetric information) can bias the sign of the correlation of equilibrium variables conditioning on all observable variables. We show that this may be the case when the omitted variables have a non-monotonic relation with the observable ones. Moreover, because this non-dimensional does not capture this deature. Hence, our main results is to point out the importance of the SPC in testing predictions of the hidden information models.

O setor de seguros e o marketing de relacionamento

o grande crescimento do mercado segurador no Brasil trouxe, ao longo dos últimos, dificuldades para as empresas se relacionarem adequadamente com seus clientes (corretores e segurados), obrigando-as a repensarem seus negócios. Nesse contexto, o comportamento do consumidor do mercado securitário de automóvel assume conotação especial e passa a ser questão obrigatória na busca da vantagem competitiva. Assim, o objetivo geral do presente estudo é estabelecer procedimentos entre o corretor, o segurado e a seguradora, com um plano de ação de fidelização para maximizar resultados para as empresas, a partir de estratégias de marketing de relacionamento, baseadas na tríade cliente, corretor e seguradora. Para tanto, utiliza-se de um levantamento teórico e empírico da realidade do setor de seguros de automóvel, apurada no estágio atual, e apresenta conceitos e ferramentas de marketing de relacionamento que, adaptadas, poderiam levar ao aumento dos valores alTecadados pelas seguradoras, com conquista de novos clientes e retenção dos atuais. Os resultados indicam que há inúmeras felTamentas de marketing de relacionamento passíveis de aplicabilidade no segmento de seguros de automóvel, como sugere o estudo de caso da filial Niterói da organização pesquisada, capazes de fazer com que as empresas do setor incrementem seu potencial de receita e maximizem seu relacionamento com os COlTetores e com os consumidores finais.

Politicas publicas e telecomunicações no Brasil (1985-1992) : analise dos impactos sociais

Após 1985, o objetivo de privatização e desregulamentação substituiu a doutrina de desenvolvimento e segurança que orientava a formulação da política de telecomunicações no Brasil desde 1962. Utilizando referências da Escola de Análise de Políticas Públicas, Escolha Coletiva e da Teoria da Regulação, a pesquisa analisa os reflexos dessa mudança nas áreas sociais: Educação, Saúde e Previdência. O monitoramento da política de telecomunicações identificou programas visando a popularização do telefone, mas que não atingiram plenamente seus objetivos. Novas tecnologias foram introduzidas, como o satélite BRASILSAT, a telefonia celular e a TV a cabo, mas os benefícios principais de sua disseminação continuaram em favor de grupos preferenciais. A recente reformulação dos programas de TV educativos e a iniciativa de prover o acesso das escolas à rede INTERNET permitem prognosticar impactos positivos na Educação, entretanto, até 1992, a população continuava a ser mantida ausente da agenda da política pública e a tecnologia da informação ainda não tinha chegado nas escolas. Os impactos na Previdência decorreram da implantação de uma moderna rede de comunicações pela DATAPREV, reduzindo os prazos de atendimento aos segurados do INSS, e melhorando o controle fmanceiro sobre a arrecadação de contribuições e o pagamento dos benefícios. Os impactos na Saúde ainda não foram sentidos no atendimento ao cidadão, mas a disseminação de informações coletadas e processadas pelos sistemas do DATASUS provocaram efeitos positivos no planejamento e controle dos gastos com consultas médicas e internações hospitalares.

Crise de confiança e liquidez bancária: evidências empíricas no mercado bancário brasileiro

A reação da autoridade bancária frente a uma crise é de fundamental importância para a sua contenção. No Brasil, durante a crise do subprime, em 2008, observou-se a ocorrência de uma crise de liquidez em alguns bancos que levou o Banco Central a autorizar uma linha especial de captação de depósitos com limite muito superior ao habitual, denominado Depósito a Prazo com Garantia Especial (DPGE). Estes fatos propiciaram uma oportunidade de observar a reação dos depositantes frente a um choque exógeno ao sistema financeiro nacional para, em seguida, explorar a captação exógena de recursos devido à ampliação nos limites dos depósitos assegurados, com cobertura do Fundo Garantidor de Crédito (FGC). Além disso, analisou-se o efeito do DPGE sobre o crédito, considerando que depósitos assegurados e não-assegurados não são substitutos perfeitos e um aumento na oferta de depósitos assegurados deveria aumentar a oferta de crédito do mercado, como um todo. A estratégia empírica utilizada permitiu reconhecer os bancos emissores de DPGE, separando-os por outros fatores relacionados aos fundamentos bancários (tamanho, liquidez, qualidade dos ativos e retorno) e analisar os efeitos do DPGE nas taxas de juros praticadas na captação de depósitos a prazo, em geral. A base de dados utilizada também permitiu observar o comportamento desses bancos e a estratégia por eles utilizada na origem e destinação de tais recursos. Tomados em conjunto, os resultados encontrados são consistentes com a ideia de que depositantes migram seus recursos para a segurança durante a crise, na chamada “fuga para a qualidade” e retornam quando lhes dão a garantia necessária. Também é coerente com a teoria que diz que a substituição imperfeita entre depósitos assegurados e depósitos não-assegurados afeta a restrição de financiamentos dos bancos. O resultado deste estudo revela a importância da atuação da autoridade reguladora frente a situações críticas, bem como os efeitos no mercado causados pela permanência de um produto desenhado para uma situação específica.

A internacionalização de uma empresa brasileira de serviços de saúde na década de 1990: estudo de caso sobre AMIL

Estudo de caso sobre uma empresa do setor de prestação de saúde que inicializou um processo inédito de internacionalização para os mercados americano e argentino no início da década de 1990.No intuito de explicar este movimento, contextualizamos esta expansão em um cenário econômico, político e cultural peculiar à época tanto no Brasil, quanto nas localidades em que a mesma se implantou. Através de uma pesquisa de cunho qualitativo, pretende-se elucidar a razão da escolha de uma estratégia de internacionalização inédita para a época, tendo em vista o setor específico de negócios, seguindo-se a análise dos resultados obtidos

Non-monotone insurence contracts and their empirical consequences

The goal of t.his paper is to show the possibility of a non-monot.one relation between coverage and risk which has been considered in the literature of insurance models since the work of Rothschild and Stiglitz (1976). We present an insurance model where the insured agents have heterogeneity in risk aversion and in lenience (a prevention cost parameter). Risk aversion is described by a continuou.'l parameter which is correlated with lenience and, for the sake of simplicity, we assume perfect correlation. In the case of positive correlation, the more risk averse agent has higher cost of prevention leading to a higher demand for coverage. Equivalently, the single crossing property (SCP) is valid and implies a positive correlation between coverage and risk in equilibrium. On the other hand, if the correlation between risk aversion and lenience is negative, not only may the sep be broken, but also the monotonicity of contracts, i.e., the prediction that high (Iow) risk averse types choose full (partial) insurance. In both cases riskiness is monotonic in risk aversion, but in the last case t,here are some coverage leveIs associated with two different risks (low and high), which implies that the ex-ante (with respect to the risk aversion distribution) correlation bet,ween coverage and riskiness may have every sign (even though the ex-post correlation is always positive). Moreover, using another instrument (a proxy for riskiness), we give a testable implication to disentangle single crossing and non single crossing under an ex-post zero correlation result: the monotonicity of coverage as a function of riskiness. Since by controlling for risk aversion (no asymmetric informat, ion), coverage is a monotone function of riskiness, this also gives a test for asymmetric information. Finally, we relate this theoretical results to empirica! tests in the recent literature, specially the Dionne, Gouriéroux and Vanasse (2001) work. In particular, they found an empirical evidence that seems to be compatible with asymmetric information and non single crossing in our framework. More generally, we build a hidden information model showing how omitted variabIes (asymmetric information) can bias the sign of the correlation of equilibrium variabIes conditioning on ali observabIe variabIes. We show that this may be t,he case when the omitted variabIes have a non-monotonic reIation with t,he observable ones. Moreover, because this non-monotonic reIat,ion is deepIy reIated with the failure of the SCP in one-dimensional screening problems, the existing lit.erature on asymmetric information does not capture t,his feature. Hence, our main result is to point Out the importance of t,he SCP in testing predictions of the hidden information models.

Proteção constitucional do trabalhador portador de incapacidade laboral

Social security has constitutional protection and encompasses health policies, social security and welfare, which are explicitly recognized as a fundamental social right. When workers suffering from work disability are unable to earn income with your work force to support themselves and their families. The State, through the public welfare, contributory and compulsory, has a duty to protect workers in times of misfortune, replacing these income through the provision of social security benefits. Disability the employee has a higher degree of vulnerability, and the granting of disability claims a right sensitive, which can‟t suffer postponements, lest cause legal uncertainty and violating the dignity of the human person. There isn‟t legal definition of disability. The main purpose of the study is the constitutional protection of the worker carrying work disability, seeking to highlight the factors affecting work disability and proposing the use of objective criteria for the grant of social security benefits, because the criteria used are purely medical, based the subjectivity and agency of medical assessor, which hinders the judicial and administrative control of the State. At the time of preparing the expert report, the expert should not consider only tangible aspects, but also social and environmental issues, which contribute to the inability to work and therefore should be considered in granting social security benefits. The granting of social security benefits for incapacity for work is intended to prevent or lessen the impact of individual and social risks in relation to the worker incapacitated, ensuring that the constitutional protection to be effective. The presumed inability, the institute reversing the burden of proof and free conviction motivated are important tools for resolving conflicts between the insured and welfare, finding basis in the insured`s vulnerability, sensitivity and little reliance right at issue in relation to the employee social pension