In the present work we study the economic capital of pension funds and their possible extension into the new concept of Solvency II. The main task is to examine the risks that are characteristic for pension fund activity. We use several modified stress simulations, which we model using a virtual model of pension fund. Primarily we focus on changes in net asset value (NAV) which is used in standard formula for calculation of the solvency capital requirement (SCR). In conclusion, we evaluate the possible impact of applications Solvency II to pension funds, the resulting economic capital and solvency of modeled pension fund.

Notre intérêt dans cette thèse est de combiner les différentes techniques de mesure du risque opérationnel dans les secteurs financiers, et on s'intéresse plus particulièrement aux conséquences du risque d'estimation dans les modèles, qui est un risque opérationnel particulier. Nous allons présenter les concepts mathématiques et actuariels associés ainsi qu'une application numérique en ce qui concerne l'approche de mesure avancée comme Loss Distribution pour calculer l'exigence en capital. En plus, on se concentre sur le risque d'estimation illustré avec l'analyse des scénarios de l'opinion d'experts en conjonction avec des données de pertes internes pour évaluer notre exposition aux évènements de gravité. Nous concluons cette première partie en définissant une technique de mise l'échelle sur la base de (MCO) qui nous permet de normaliser nos données externes à une banque locale Libanaise.Dans la deuxième partie, on donne de l'importance sur la mesure de l'erreur induite sur le SCR par l'erreur d'estimation des paramètres, on propose une méthode alternative pour estimer une courbe de taux et on termine par attirer l'attention sur les réflexions autour des hypothèses de calcul et ce que l'on convient de qualifier d'hypothèse "cohérente avec les valeurs de marché" serait bien plus pertinente et efficace que la complexification du modèle, source d'instabilité supplémentaire, ainsi mettre en évidence le risque d'estimation qui est lié au risque opérationnel et doit être accordé beaucoup plus d'attention dans nos modèles de travail / Our interest in this thesis is first to combine the different measurement techniques for operational risk in financial companies, and we highlight more and more the consequences of estimation risk which is treated as a particular part of operational risk. In the first part, we will present a full overview of operational risk, from the regulatory laws and regulations to the associated mathematical and actuarial concepts as well as a numerical application regarding the Advanced Measurement Approach, like Loss Distribution to calculate the capital requirement, then applying the Extreme Value Theory. We conclude this first part by setting a scaling technique based on (OLS) enabling us to normalize our external data to a local Lebanese Bank. On the second part, we feature estimation risk by first measuring the error induced on the SCR by the estimation error of the parameters, to having an alternative yield curve estimation and finishing by calling attention to the reflections on assumptions of the calculation instead of focusing on the so called hypothesis "consistent with market values", would be more appropriate and effective than to complicate models and generate additional errors and instability. Chapters in this part illustrate the estimation risk in its different aspects which is a part of operational risk, highlighting as so the attention that should be given in treating our models

The diploma thesis summarizes the history of the insurance industry in the world with a detailed focus on the Czech Republic. The thesis continues to discuss the situation on insurance markets in the last twenty years. It is described how insurance companies deal with natural disasters and a new type of risk - terorism. The thesis proceeds with actual trends in the insurance industry and supervision in insurance.

Dans le secteur de l’assurance, les dernières évolutions règlementaires et des normes comptables vont dans le sens de la standardisation de la gestion des risques au sein des organismes. Dans ce contexte, l’objectif principal de ma thèse est de proposer différentes méthodologies d’évaluation et d’analyse des risques dans ce secteur. La première partie de ce manuscrit traite de la problématique de provisionnement individuel en non-vie. Je propose des adaptions d’algorithmes d’apprentissage automatique ensemblistes et de certaines métriques de performance pour l’estimation des durées des sinistres ainsi que des charges sinistres ultimes en présence de don-nées censurées à droite. L’application de ces méthodes à des données réelles de contrats de prêts ou de contrats de prévoyance collective conduit à des estimations plus performantes et plus robustes des paramètres considérés. La deuxième partie présente une approche d’estimation de choc à un an sur des paramètres spécifiques à l’entité (Undertaking Specific Parameters) du module santé assimilable la vie du pilier 1 de la formule standard de la norme Solvabilité II. L’utilisation de la crédibilité américaine (ou crédibilité à variation limitée) permet la prise en compte partielle des contraintes de disponibilité des données d’expérience (volumétrie et profondeur d’historique) lors du calibrage des chocs. A titre d’illustration, j’ai appliqué cette approche aux risques d’incidence et de maintien (ou de rétablissement) des garanties d’incapacité et d’invalidité en arrêt de travail d’un portefeuille de contrats de prêts. Les résultats obtenus montrent des baisses significatives des be-soins de capitaux de solvabilité requis (SCR) du risque de souscription par rapport à la formule standard. La troisième partie est une étude descriptive des calculs de la formule standard pour l’évaluation du besoin de fonds propres économiques du risque de dépendance. Elle permet de mettre en évidence les insuffisances de la norme et de proposer des pistes d’améliorations en vue d’une meilleure prise en compte des spécificités de ce risque. Enfin, dans la dernière partie du manuscrit, je propose une étude comparative des préférences d’attitudes face au risque dans le secteur financier, notamment la banque et l’assurance. Il s’agit d’une analyse empirique menée dans trois zones géographiques (Amérique, Europe et Afrique) afin de mesurer les liens et les différences entre les profils d’attitude face au risque et certaines variables sociodémographiques / In the insurance sector, the latest regulatory developments and accounting standards are in line with the standardization of risk management within organizations. In this context, the main objec-tive of my thesis is to propose different methodologies for risk evaluation and analysis in this sec-tor. The first part of this manuscript deals with the problem of individual non-life reserving. I pro-posed adaptations of machine learning algorithms and some performance metrics for the estima-tion of the durations of the claims as well as the ultimate claims in the presence of right censored data. The application of these methods to property and consumer loans insurance contracts or group protection contracts leads to better and more robust estimates of the parameters consid-ered. The second part presents a one-year shock estimation approach on entity-specific parame-ters (Undertaking Specific Parameters) of the life-sustaining health module of Pillar 1 of the Solven-cy II standard formula. The use of American credibility (or limited variation credibility) allows partial consideration of the availability constraints of data (volume and historical depth of data) when calibrating shocks. By way of illustration, I applied this approach to incidence and recovery (or non-recovery) of incapacity and disability risks. The results obtained show significant decreases in sol-vency capital requirements (SCR) of underwriting risk need compared to the standard formula cal-culation. The third part is a descriptive study of the calculations of the standard formula for eco-nomic solvency capital need of long term care risk. The main purpose is to highlight the inadequa-cies of the standard formula and to suggest ways of improving them in order to better take into account the specificities of this risk. Finally, in the last part of the manuscript, I proposed a compar-ative study of risk attitude preferences in the financial sector, including banking and insurance. This is an empirical analysis conducted in three geographical areas (America, Europe and Africa) to measure the links and differences between risk attitude profiles and sociodemographic variables

Our interest in this thesis is first to combine the different measurement techniques for operational risk in financial companies, and we highlight more and more the consequences of estimation risk which is treated as a particular part of operational risk. In the first part, we will present a full overview of operational risk, from the regulatory laws and regulations to the associated mathematical and actuarial concepts as well as a numerical application regarding the Advanced Measurement Approach, like Loss Distribution to calculate the capital requirement, then applying the Extreme Value Theory. We conclude this first part by setting a scaling technique based on (OLS) enabling us to normalize our external data to a local Lebanese Bank. On the second part, we feature estimation risk by first measuring the error induced on the SCR by the estimation error of the parameters, to having an alternative yield curve estimation and finishing by calling attention to the reflections on assumptions of the calculation instead of focusing on the so called hypothesis "consistent with market values", would be more appropriate and effective than to complicate models and generate additional errors and instability. Chapters in this part illustrate the estimation risk in its different aspects which is a part of operational risk, highlighting as so the attention that should be given in treating our models

Dans cette thèse, nous étudions la garantie tempête consacrée aux dommages causés par le vent et un développement de l'assurance comportementale à travers le risque automobile. Nous associons des informations extérieures comme la vitesse du vent aux données de l'assurance. Nous proposons la construction d'un indice tempête pour compléter et renforcer l'évaluation des dégâts causés par les tempêtes majeures. Nous définissons ensuite un partage du territoire français en 6 zones tempêtes, dépendant des corrélations extrêmes de vent, pour tester plusieurs scénarios. Ces différents tests et considérations nous permettent d'améliorer notre indice tempête. Nous nous appuyons sur les modèles de la théorie des valeurs extrêmes pour montrer l'impact de la variabilité sur le calcul des périodes de retour et besoins en fonds propres. Nous soulignons ainsi les difficultés rencontrées pour dégager des résultats robustes en lien avec les évènements extrêmes. Pour ce qui est de l'assurance automobile, nous testons différentes méthodes pour répondre aux évolutions techniques et réglementaires. Nous caractérisons la partition homme / femme en utilisant la procédure logistique, l'analyse des correspondances multiples ou les arbres de classification. Nous montrons qu'il est possible de compenser l'absence de la variable sexe par d'autres informations spécifiques à l'assuré ou à son véhicule et en particulier l'utilisation de relevés kilométriques. Enfin, nous nous intéressons à l'expérience acquise par les conducteurs novices. Nous étudions le comportement sur la route de l'assuré pour créer de nouvelles classes de risques / In this Ph.D. Dissertation we study the storm guarantee dedicated to the damage caused by the wind and a development of the behavioral insurance through the automobile risk. We associate external information like the wind speed to insurance data. We propose the construction of a storm index to complete and strengthen the evaluation of the damages caused by the major storms. Then we define a partition of the French territory in 6 zones storms, depending on extreme wind correlations to test several scenarios. These various tests and considerations allow us to improve our storm index. We lean on extreme value theory models to show the impact of the variability on the calculation of return periods and capital requirements. We underline the difficulties to obtain strong results in connection with the extreme events. Concerning car insurance, we test various methods to answer the technical and legal evolutions. We characterize the man/woman partition by using the logistic procedure, the multiple correspondence analysis or the classification trees. We show that it is possible to compensate for the absence of the sex variable with other information specific to the insurants or to their vehicle and in particular the use of kilometric data. Finally, we are interested in the acquired experience by young drivers. We study the behavior on the road of the insurants to create new classes of risks

The traditional reserve estimation by an insurance company is based on the aggregated data. However, new trend is to utilize all the information available and analyse each claim separately. This way the application of claims specific features, such as non-proportional reinsurance or policy limits, is possible. The aim of this thesis is to construct the reserving model based on the individual claims. Following the recent legislative changes, the reserve risk has been redefined from ultimate claim horizon to a one-year risk horizon. Hence, the next task is to setup simulation model to calculate one year horizon reserve risk by updating the estimates based on new observations collected over one year. This is a typical task for Bayesian approach, therefore the model components are estimated using the tools of Bayesian statistics.

Diploma thesis Business risks in insurance and their quantification describes the business risks to which insurance companies are exposed in their activities. Thesis is focused on market risk and quantification of market risk in insurance companies. It includes determination of the specifications for the activities of insurance companies, regulation and characteric of business risks in insurance. Large part of the thesis deals with the method of Value at Risk as a tool to measure market risk as well as individual methods to calculate it. In the conclusion, thesis describes the processes of quantification of market risk in Generali PPF Holding and in Česká poisťovňa, which gives a practical insight into the issues of market risk in insurance companies.

The purpose of this project is to validate the adequacy of the Standard formula, used to calculate the Solvency Capital Requirement (SCR), with respect to a Swedish insurance company. The sub-modules evaluated are Equity risk (type 1) and Interest rate risk. The validation uses a quantitative assessment and the concept of Value at Risk (VaR). Additionally, investment strategies for risk free assets are evaluated through a scenario based analysis. The findings support that the Equity shock of 39%, as proposed in the Standard formula, is appropriate for a diversified portfolio of global equities. Furthermore, to some extent; the Equity shock is also sufficient for a diversified global portfolio with an overweight of Swedish equities. Additionally, the findings shows that the Standard formula for Interest rate risks occasionally underestimates the true Interest rate risk. Furthermore, it’s shown that there are some advantage of selecting an investment strategy that stabilizes the Own fund of an insurance company rather than a strategy that minimizes the SCR. / Syftet med detta arbete är att utvärdera Standardformeln, som används för att beräkna solvenskapitalkravet (SCR) under Solvens II, med avseende på dess lämplighet för ett svensk försäkringsbolag. Modulerna som utvärderas är aktierisk (typ 1) och ränterisk. Utvärderingen genomförs med kvantitativa metoder och utifrån konceptet Value at Risk (VaR). Dessutom utvärderas investeringsstrategier för riskfria tillgångar genom en scenariobaserad analys. Resultaten stödjer att den av Standardformeln föreskrivna aktiechocken på -39 % är tillräcklig för en diversifierad global aktieportfölj. Dessutom är aktiechocken även tillräcklig för en diversifierad global portfölj med en viss övervikt mot svenska aktier. Vidare visar resultaten att Standardformeln under vissa omständigheter underskattar ränterisken. Slutligen visar den scenariobaserade analysen att det är fördelaktigt att välja en investeringsstrategi som stabiliserar Own fund, hellre än en strategi som minimerar SCR.

A framework for optimization of reinsurance strategy is proposed for an insurance company with several lines of business (LoB), maximizing the Economic Value of purchasing reinsurance. The economic value is defined as the sum of the average ceded loss, the deducted risk premium, and the reduction in the cost of capital. The framework relies on simulated large claims per LoB rather than specific distributions, which gives more degrees of freedom to the insurance company.  Three models are presented, two non non-linear optimization models and a benchmark model. One non-linear optimization model is on individual LoB level and the other one is on company level with additional constraints using space bounded black box algorithms. The benchmark model is a Brute Force method using quantile discretization of potential retention levels, that helps to visualize the optimization surface.  The best results are obtained by a two-stage optimization using a mixture of global and local optimization algorithms. The economic value is maximized by 30% and reinsurance premium is halved if the optimization is made at the company level, by putting more emphasis on reduction in the cost of capital and less to average ceded loss. The results indicate an over-fitting when using VaR as the risk measure, impacting reduction in the cost of capital. As an alternative, Average VaR is recommended being numerically more robust.