En una coyuntura de constante cambio mundial, junto con un ambiente económico y político complejo para el Perú, el panorama para el sector de seguros vehiculares local se ve impactado desde 2017 con un decrecimiento del 5% según la SBS. Momentos complicados y cambiantes como los actuales, obligan a las compañias de seguros a replantear sus estrategias de corto y largo plazo. El presente trabajo de investigación tomó como base la metodología Lean Service, información de casos de éxito y tecnologías de la industria de seguros global, con el objetivo de analizar y optimizar los procesos de la unidad de seguros vehiculares de una compañía de seguros. Las estrategias de mejora de procesos no sólo se enfocan a nivel operativo, sino estratégico con el fin de que la compañía obtenga un valor diferenciador sostenible en el mercado, puede adoptar un enfoque customer centricity y sea más eficiente, para así lograr la mayor rentabilidad posible. La propuesta de implementación ha sido trabajada bajo la metodología Roadmaping, con el fin de obtener una secuencia lógica para el desarrollo de las iniciativas planteadas. Finalmente, cada mejora ha sido valorizada y se realizaron proyecciones de impacto en los principales indicadores de la unidad de seguros vehiculares de la compañía. / At a time of constant global change, along with a complex economic and political environment in Peru, the outlook for the local vehicle insurance sector has been impacted since 2017 with a 5% decrease according to the SBS. Complicated and unstable periods like the current ones, force insurance companies to rethink their short- and long-term strategies. This research paper was based on the Lean Service methodology, information on successful implementations and technologies of the global insurance industry, with the aim of analyzing and optimizing the processes of the vehicle insurance unit of an insurance company. Process improvement strategies are not only focused at an operational level, but also at a strategic one, so that the company obtains a sustainable differentiating value in the market, adopt a customer centricity approach and be more efficient, in order to achieve the highest possible profitability. The implementation proposal has been worked based on the Roadmapping methodology, in order to obtain a logical sequence for the development of the proposed initiatives. Finally, each improvement has been valued and impact projections were made on the main indicators of the company's vehicle insurance unit. / Trabajo de investigación

Con el transcurrir del tiempo, las transacciones vehiculares a través de la compra-venta se han vuelto más frecuentes y sencillas, a su vez segura, pues los propietarios registran estas transacciones en el Registro de Propiedad Vehicular para obtener la seguridad jurídica. A la par de este hecho, surge también la conducta preventiva de los propietarios de los vehículos que deciden comprar una Póliza de seguro vehicular para proteger su unidad frente a los riesgos que se puedan presentar. Si bien el propietario ha sido diligente en inscribir la transferencia vehicular y asegurar su unidad ante un eventual siniestro, hemos identificado, dos desventajas para el asegurado/propietario: (i) Este puede adquirir un bien sin conocer que el costo de la unidad ha sido cuantificada como cero, pues fue declarado como pérdida total por una compañía aseguradora, de lo cual no se tiene conocimiento debido a que no contamos con esa información de forma accesible, y (ii) De existir un siniestro la aseguradora rechazaría la cobertura por aplicación Cláusula de Exclusión expresa o por Declaración reticente o falsa, En el presente trabajo, proponemos como solución al problema la incorporación al Registro de Propiedad Vehicular de los Registros Públicos, la Obligación de las Aseguradoras de reportar la pérdida total del vehículo de tal forma que el registrador la pueda considerar como parte de la publicidad de las características de las unidades. / Over time, vehicle transactions through purchase and sale have become more frequent and simple, and at the same time safe, because the owners register these transactions in the Vehicle Property Registry to obtain legal security. At the same time, the preventive behavior of the owners who decide to buy a vehicle insurance policy to protect their unit against the risks. Although the owner has been diligent in registering the vehicle transfer and insuring his unit in the event of a loss, we have identified two disadvantages for the insured/owner: (i) The owner can acquire a property without knowing that the cost of the unit has been quantified as zero, since it was declared a total loss by an insurance company, of which we have no knowledge due to the fact that we do not have that information in an accessible manner, and (ii) If there is a claim, the insurance company would reject the coverage due to the application of an express Exclusion Clause or a reluctant or false statement. In the present work, we propose as a solution to the problem, the incorporation to the Registry of Vehicle Property of the Public Registries, the Obligation of the Insurers to report the total loss of the vehicle in such a way the person who registers, can consider it as part of the publicity of the characteristics of the units. / Trabajo de investigación

Topic of this thesis is "Problems of insurance fraud in the Czech republic". This thesis deals with one of the most common types of frauds. The main goals is to analyze the most common ways of committing this crime mainly in the automobile and traffic accidents and review the current state of insurance fraud situation in the Czech Republic from the view of insurance companies and law enforcements. At the same time this thesis will suggests some possible preventive tips to help prevent insurance frauds.

This master’s thesis analyzes issue of company car insurance in a selected business subject. Evaluates current state of insurance, compares it with current offer of insurance products on the Czech insurance market and determines appropriate actions for improvement of insurance protection of company car in the selected business subject.

[pt] O desenho atual de mercado do seguro obrigatório de veículos no Brasil tem apresentado questionamentos em relação ao seu modelo, destacando ineficiência na transferência de recursos dos proprietários de veículos para as vítimas de acidentes de trânsito e ausência de incentivo à eficiência na gestão dos recursos. Este é um mecanismo de alta complexidade, com natureza híbrida (parcela destinada a políticas públicas e parcela de natureza indenizatória) cujo desenho é um desafio constante ao regulador brasileiro. Com o objetivo de mitigar os problemas apresentados, fornecemos uma opção ao modelo atual em que o governo define diretamente a seguradora responsável e o valor de prêmio cobrado. Este estudo propõe-se um novo desenho de mercado, com a utilização de leilões em um processo mais transparente e eficiente para alocação e descoberta de preço para o Seguro DPVAT. Em um leilão reverso multiunidade de preço uniforme, as seguradoras ofertam quantidades e valor de prêmio por categoria de veículo e Unidade da Federação. Os resultados indicam que a estrutura da indústria de seguros e as decisões do governo possuem papel fundamental no desempenho do mercado. / [en] The current market design of mandatory vehicle insurance in Brazil has raised questions regarding its model highlighting inefficiency in the transfer of resources from vehicle owners to victims of traffic accidents and lack of incentive for efficiency in resource management. This is a highly complex mechanism with a hybrid nature (public policies and private insurance) whose design is a constant challenge for the Brazilian regulator. Looking to mitigate some of the problems, we provide an option to the current model in which the government directly defines the insurance company and the premium. This study proposes a new market design, using auctions for a more transparent and efficient process for allocation and price discovery for DPVAT Insurance. In a uniform reverse multi-unit auction, insurers bid quantities and premium by vehicle category and State. The results indicate that structure of the insurance industry and government decisions play a key role in market performance.

In the conditions of modern economy the Russian companies pay attention to the solution of a question on optimization of a cost structure more and more, also insurance companies aren't an exception. In this regard a research of theoretical and practical aspects of forming of costs in insurance companies purchase the special importance. Effective management of costs in an insurance company will allow to reach optimum financial performance of its activities. Research purpose is consideration of techniques and management tools costs in an insurance company and on this basis identification of problems and consideration of the actions directed to increase in its financial stability. The practical importance consists in an opportunity of use of the offered method of expense reduction of car insurance in an insurance company for the purpose of increase in the main financial performance of its activities. / В условиях современной экономики российские компании все больше уделяют внимание решению вопроса по оптимизации структуры затрат, не являются исключением и страховые организации. В этой связи исследование теоретических и практических аспектов формирования затрат в страховых организациях приобретают особую значимость. Эффективное управление затратами в страховой организации позволит достичь оптимальных финансовых показателей ее деятельности. Целью исследования является рассмотрение методик и инструментов управления затратами в страховой организации и на этой основе выявление проблем и рассмотрение мероприятий, направленных на повышение ее финансовой устойчивости. Практическая значимость заключается в возможности использования предлагаемой методики по сокращению расходов по автострахованию в страховой организации с целью повышения основных финансовых показателей ее деятельности.

European insurance currently stands in front of phase of structural changes. Transforming of currently conservative and strongly regulated insurance area will be different from transformations done in other industries. For insurance of 21st century will be typical change of currently calmful insurance market into strongly competitive enviroment requesting significant changes in organizational structure of insurance companies. Effort of whole disertation is to support top management of insurance companies in creation of complicated models of organization structures of insurance companies. The work creates simple theoretical structure explaining changes in organizational structures of insurance companies. Special focus is being put on outsourcing of value chain in claims handling of motor vehicle insurance. Motivation of insurance management to implement described changes is mainly price fight, which strongly emphasizes need of efficiency. Optimizing of insurance company value chain might support increase in profitability of insurance technical result, compared to competition.

In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. The modeling was done with the help of TensorFlow's Probability API, where a few models were built and tested on the data provided. The results conclude the possibility of predicting insurance premiums. However, the output distributions in this report were too wide to use. More data, both in volume and in the number of features, and better-structured data are needed. With better data, there is potential in building BNN and other machine learning (ML) models that could be useful for production purposes. / Detta projekt grundar sig i möjligheten till att predikera försäkringspremier, mer specifikt fordonsförsäkringspremier. Prediktioner har gjorts med hjälp av Bayesianska neurala nätverk, vilket är en typ av artificiella neurala nätverk. Det huvudsakliga konceptet med Bayesianska neurala nätverk är att parametrarna i nätverket följer distributioner vilket har vissa fördelar och inte är fallet för vanliga artificiella neurala nätverk. Ett antal modeller har konstruerats med hjälp av TensorFlow Probability API:t som tränats och testats på given data. Resultatet visar att det finns potential att prediktera premier med hjälp av de egenskapspunkter\footnote[2]{\say{Features} på engelska} som finns tillgängliga, men att resultaten inte är tillräckligt bra för att kunna användas i produktion. Med mer data, både till mängd och egenskapspunkter samt bättre strukturerad data finns potential att skapa bättre modeller av intresse för produktion.

This master's thesis assesses the actuel situation of the insurance of Miroslavské strojírny vehicles and contains suggestions for its optimalization. It deals with analysis of the insurance products in motor vehicles insurance in the Czech market.

In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. The modeling was done with the help of TensorFlow's Probability API, where a few models were built and tested on the data provided. The results conclude the possibility of predicting insurance premiums. However, the output distributions in this report were too wide to use. More data, both in volume and in the number of features, and better-structured data are needed. With better data, there is potential in building BNN and other machine learning (ML) models that could be useful for production purposes. / Detta projekt grundar sig i möjligheten till att predikera försäkringspremier, mer specifikt fordonsförsäkringspremier. Prediktioner har gjorts med hjälp av Bayesianska neurala nätverk, vilket är en typ av artificiella neurala nätverk. Det huvudsakliga konceptet med Bayesianska neurala nätverk är att parametrarna i nätverket följer distributioner vilket har vissa fördelar och inte är fallet för vanliga artificiella neurala nätverk. Ett antal modeller har konstruerats med hjälp av TensorFlow Probability API:t som tränats och testats på given data. Resultatet visar att det finns potential att prediktera premier med hjälp av de egenskapspunkter\footnote[2]{\say{Features} på engelska} som finns tillgängliga, men att resultaten inte är tillräckligt bra för att kunna användas i produktion. Med mer data, både till mängd och egenskapspunkter samt bättre strukturerad data finns potential att skapa bättre modeller av intresse för produktion.