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Insurance --- Assurance --- Statistical methods --- Mathematical models --- Modèles mathématiques --- Statistical methods. --- Mathematical models. --- Actuarial statistics --- Insurance statistics --- Mathematics --- -Insurance --- -KBC9912-IVB --- 10.03.a --- Assurance (Insurance) --- Coverage, Insurance --- Indemnity insurance --- Insurance coverage --- Insurance industry --- Insurance protection --- Mutual insurance --- Underwriting --- Finance --- Actuariaat ; Algemeen --- Modèles mathématiques --- Insurance - Statistical methods. --- Insurance - Mathematical models. --- KBC9912-IVB --- Insurance - Statistical methods --- Insurance - Mathematical models
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Insurance --- Assurance --- Statistical methods --- 519.86 --- Theory of economic-mathematical models --- Statistical methods. --- 519.86 Theory of economic-mathematical models --- Statistical analysis --- Actuarial statistics --- Insurance statistics --- Mathematics --- Insurance - Statistical methods
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The mathematical theory of non-life insurance developed much later than the theory of life insurance. The problems that occur in the former field are far more intricate for several reasons: 1. In the field oflife insurance, the company usually has to pay a claim on the policy only once: the insured dies or the policy matures only once. It is with only a few particular types of policy (for instance, sickness insurance, when the insured starts working again after a period of sickness) that a valid claim can be made on a number of different occasions. On the other hand, the general rule in non-life insurance is that the policyholder is liable to be the victim of several losses (in automobile insurance, of course, but also in burglary and fire insurance, householders' comprehensive insurance, and so on). 2. In the field of life insurance, the amount to be paid by the company excluding any bonuses-is determined at the inception of the policy. For the various types of life insurance contracts, the sum payable on death or at maturity of the policy is known in advance. In the field of non-life insurance, the amount of a loss is a random variable: the cost of an automobile crash, the partial or totalloss of a building as a result of fire, the number and nature of injuries, and so forth.
Insurance --- Actuarial mathematics --- Automobile insurance --- Assurance-automobiles --- Statistical methods --- Rates --- Méthodes statistiques --- Tarifs --- Insurance, Automobile --- -Insurance, Automobile --- -10.03.j --- Automobile collision insurance --- Automobile liability insurance --- Collision insurance, Automobile --- Liability insurance, Automobile --- Actuariaat ; Schadeverzekeringen --- Méthodes statistiques --- Statistical methods. --- Automobile insurance - Statistical methods --- Automobile insurance - Rates --- Automobile insurance - Belgium --- Rates.
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Statistical Tools for Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Features of the significantly enlarged and revised second edition: Offers insight into new methods and the applicability of the stochastic technology Provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations Covers topics such as - expected shortfall for heavy tailed and mixture distributions* - pricing of variance swaps* - volatility smile calibration in FX markets - pricing of catastrophe bonds and temperature derivatives* - building loss models and ruin probability approximation - insurance pricing with GLM* - equity linked retirement plans*(new topics in the second edition marked with*) Presents extensive examples.
Finance -- Statistical methods. --- Finance. --- Insurance -- Statistical methods. --- Insurance. --- Mathematics --- Finance --- Business & Economics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Insurance --- Statistical methods. --- Actuarial statistics --- Insurance statistics --- Statistics. --- Economics, Mathematical. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Quantitative Finance. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Funding --- Funds --- Economics --- Currency question --- Statistics . --- Economics, Mathematical . --- Mathematical economics --- Methodology
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This workshop was the first of its kind in bringing together researchers in probability theory, stochastic processes, insurance and finance from mainland China, Taiwan, Hong Kong, Singapore, Australia and the United States. In particular, as China has joined the WTO, there is a growing demand for expertise in actuarial sciences and quantitative finance. The strong probability research and graduate education programs in many of China's universities can be enriched by their outreach in fields that are of growing importance to the country's expanding economy, and the workshop and its proceedings
Finance -- Mathematical models -- Congresses. --- Insurance -- Statistical methods -- Congresses. --- Investments -- Mathematics -- Congresses. --- Investments --- Finance --- Insurance --- Mathematics --- Mathematical models --- Statistical methods --- Assurance (Insurance) --- Coverage, Insurance --- Indemnity insurance --- Insurance coverage --- Insurance industry --- Insurance protection --- Mutual insurance --- Underwriting --- Investing --- Investment management --- Portfolio --- Disinvestment --- Loans --- Saving and investment --- Speculation --- E-books
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Le présent ouvrage analyse en détail l’assurance du risque automobile : - les mesures de prévention propres à diminuer le nombre d’accidents automobiles, les moyens de protection susceptibles d’atténuer leur gravité, le principe même de la responsabilité civile encourue par les conducteurs des véhicules impliqués, la détermination de cette responsabilité selon le critère de la faute du conducteur ou celui du fait du véhicule et la prise en considération ou non d’une faute de la victime dans la détermination des responsabilités ; - la souscription à l’assurance automobile et la vie du contrat, les garanties, les exclusions, les nullités et les déchéances de la police d’assurance, les différentes modalités de sa tarification, le caractère obligatoire ou facultatif de l’assurance de responsabilité civile et la réparation des préjudices subis par les victimes ; - l’aspect marketing de l’assurance automobile, les flottes (ou parcs) de véhicules, la fraude à l’assurance et le phénomène de l’assurance automobile dans le monde ; - les débuts de la circulation automobile, les origines de l’assurance destinée à dédommager les personnes victimes d’accidents, les commencements et le développement de la tarification en fonction de la distance parcourue par le véhicule. Les cadres d’assurance (compagnies, entreprises de courtage, agents généraux), les experts d’assurance, les risk managers, les consultants en risk management, les magistrats, les avocats y trouveront les outils utiles à leur pratique quotidienne. L’ouvrage intéressera également les professeurs, chercheurs, doctorants et étudiants en matière d’assurance automobile.
Insurance law --- E-books --- Automobile insurance --- Statistical methods --- Rates --- Law and legislation --- Belgium --- Handbooks, manuals, etc. --- Assurance-automobiles --- Droit --- AA / International- internationaal --- 368.2 --- 05.05.a --- Verzekering van het vervoer --- Motorrijtuigenverzekering ; Algemeen --- Automobile insurance - Statistical methods --- Automobile insurance - Rates --- France --- Belgique
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Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options, dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solvency discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in the financial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a good background in probability theory and statistics, and should be familiar with popular distributions, stochastic processes, martingales, etc.
Insurance -- Mathematical models. --- Insurance -- Statistical methods. --- Insurance. --- Business & Economics --- Economic Theory --- Finance --- Actuarial science. --- Mathematical models. --- Mathematics. --- Economics, Mathematical. --- Statistics. --- Quantitative Finance. --- Actuarial Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistics --- Insurance --- Mathematics --- Finance. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Funding --- Funds --- Economics --- Currency question --- Economics, Mathematical . --- Statistics . --- Mathematical economics --- Methodology --- Social sciences --- Mathematics in Business, Economics and Finance. --- Actuarial Mathematics. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistical methods.
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These notes represent our summary of much of the recent research that has been done in recent years on approximations and bounds that have been developed for compound distributions and related quantities which are of interest in insurance and other areas of application in applied probability. The basic technique employed in the derivation of many bounds is induc tive, an approach that is motivated by arguments used by Sparre-Andersen (1957) in connection with a renewal risk model in insurance. This technique is both simple and powerful, and yields quite general results. The bounds themselves are motivated by the classical Lundberg exponential bounds which apply to ruin probabilities, and the connection to compound dis tributions is through the interpretation of the ruin probability as the tail probability of a compound geometric distribution. The initial exponential bounds were given in Willmot and Lin (1994), followed by the nonexpo nential generalization in Willmot (1994). Other related work on approximations for compound distributions and applications to various problems in insurance in particular and applied probability in general is also discussed in subsequent chapters. The results obtained or the arguments employed in these situations are similar to those for the compound distributions, and thus we felt it useful to include them in the notes. In many cases we have included exact results, since these are useful in conjunction with the bounds and approximations developed.
Insurance --- Distribution (Probability theory) --- Statistical methods --- Stochastic processes --- 519.2 --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics --- Distribution (Théorie des probabilités) --- Statistical methods. --- Actuarial statistics --- Insurance statistics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Mathematics --- Probabilities. --- Statistics . --- Economics, Mathematical . --- Probability Theory and Stochastic Processes. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Quantitative Finance. --- Economics --- Mathematical economics --- Econometrics --- Statistical analysis --- Statistical data --- Statistical science --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Methodology --- Insurance - Statistical methods
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Actuarial mathematics --- Insurance --- Assurance --- Mathematical models --- Statistical methods --- Modèles mathématiques --- 368.01 --- 519.224 --- -Insurance --- -10.03.a --- Assurance (Insurance) --- Coverage, Insurance --- Indemnity insurance --- Insurance coverage --- Insurance industry --- Insurance protection --- Mutual insurance --- Underwriting --- Finance --- Verzekeringswezen. Actuariaat. Grondslagen verzekeringswezen. Vaststellen verzekeringspremies. Risicoberekening --- Distribution theory. Asymptotic theory. Characterization and structure theory --- Actuariaat ; Algemeen --- Statistical methods. --- Mathematical models. --- 519.224 Distribution theory. Asymptotic theory. Characterization and structure theory --- 368.01 Verzekeringswezen. Actuariaat. Grondslagen verzekeringswezen. Vaststellen verzekeringspremies. Risicoberekening --- Modèles mathématiques --- 10.03.a --- Actuarial statistics --- Insurance statistics --- Mathematics --- Insurance - Statistical methods --- Insurance - Mathematical models
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Assurances --- Automobilisme --- Verzekeringen --- Automobile insurance --- Mathematical models --- Statistical methods --- 368:629.113 <493> --- Insurance, Automobile --- -Insurance, Automobile --- -351.811<493> --- 368.21:629.113 <493> --- Automobile collision insurance --- Automobile liability insurance --- Collision insurance, Automobile --- Liability insurance, Automobile --- Insurance --- Verzekeringswezen-:-Mechanically powered vehicles. Motor vehicles. Automobile engineering--België --- 368:629.113 <493> Verzekeringswezen-:-Mechanically powered vehicles. Motor vehicles. Automobile engineering--België --- 368.1 --- -10.03.j --- 05.05.a --- Schadeverzekering van materiele zaken --- Actuariaat ; Schadeverzekeringen --- Motorrijtuigenverzekering ; Algemeen --- 368.1 Schadeverzekering van materiele zaken --- 10.03.j --- 351.811<493> --- Road traffic --- Actuarial mathematics --- Mathematical models. --- Statistical methods. --- Actuariat --- Actuarial science --- Actuarial science. --- Automobile insurance - Mathematical models --- Automobile insurance - Statistical methods --- Automobile insurance - Belgium
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