ASTIN Bulletin
Author:
Publisher:
Published: 2007
Total Pages: 568
ISBN-13:
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Stochastic Modeling
Author:
Publisher:
Published: 2010
Total Pages:
ISBN-13: 9780981396811
DOWNLOAD EBOOKRisk, Information and Insurance
Author: Henri Loubergé
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 275
ISBN-13: 9400921837
DOWNLOAD EBOOKOrio Giarini The "Geneva Association" (International Association for the Study of Risk and Insurance Economics) was founded in 1973. The main goal was to stimulate and organize objective research in the field of risk, uncertainty, and insurance, in a world in which such issues were clearly becoming of greater and greater relevance for all economic actors. This was a pioneer ing effort, especially as economic theory and the teaching of economics were still anchored to the key notion of general equilibrium under an assumption of certainty. Thus, we had to start our work almost from scratch. One of the first initiatives was to bring together in Geneva, in June of 1973, all the academics in Europe already involved in risk and insurance economics. We found eight from five different countries who never had met before. This seminar chaired by Raymond Barre, the first president of The Geneva Association, was the first of an annual series that became known as the seminar of "The European Group of Risk and Insurance Economists." Since then more than 100 economists from most European countries as well as participants from two other continents and in particular from the United States have taken part in this seminar.
Actuarial Science
Author: Hanji Shang
Publisher: World Scientific
Published: 2006
Total Pages: 282
ISBN-13: 9812565051
DOWNLOAD EBOOKSince actuarial education was introduced into China in the 1980s, Chinese scholars have paid greater attention to the theoretical research of actuarial science. Professors and industry experts from well-known universities in China recently worked together on the project ?Insurance Information Processing and Actuarial Mathematics Theory and Methodology?, which was supported by the Chinese government. Summarizing what they achieved, this volume provides a study of some basic problems of actuarial science, including risk models, risk evaluation and analysis, and premium principles. The contributions cover some new applications of probability and statistics, fuzzy mathematics and financial economics to the field of actuarial practices. Discussions on the new insurance market in China are also presented.
Claim Models
Author: Greg Taylor
Publisher: MDPI
Published: 2020-04-15
Total Pages: 108
ISBN-13: 3039286641
DOWNLOAD EBOOKThis collection of articles addresses the most modern forms of loss reserving methodology: granular models and machine learning models. New methodologies come with questions about their applicability. These questions are discussed in one article, which focuses on the relative merits of granular and machine learning models. Others illustrate applications with real-world data. The examples include neural networks, which, though well known in some disciplines, have previously been limited in the actuarial literature. This volume expands on that literature, with specific attention to their application to loss reserving. For example, one of the articles introduces the application of neural networks of the gated recurrent unit form to the actuarial literature, whereas another uses a penalized neural network. Neural networks are not the only form of machine learning, and two other papers outline applications of gradient boosting and regression trees respectively. Both articles construct loss reserves at the individual claim level so that these models resemble granular models. One of these articles provides a practical application of the model to claim watching, the action of monitoring claim development and anticipating major features. Such watching can be used as an early warning system or for other administrative purposes. Overall, this volume is an extremely useful addition to the libraries of those working at the loss reserving frontier.
Actuarial Modelling of Claim Counts
Author: Michel Denuit
Publisher: John Wiley & Sons
Published: 2007-07-27
Total Pages: 384
ISBN-13: 9780470517413
DOWNLOAD EBOOKThere are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists’ rates are subject to experience rating systems, including credibility mechanisms and Bonus Malus systems (BMSs). Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The text: Offers the first self-contained, practical approach to a priori and a posteriori ratemaking in motor insurance. Discusses the issues of claim frequency and claim severity, multi-event systems, and the combinations of deductibles and BMSs. Introduces recent developments in actuarial science and exploits the generalised linear model and generalised linear mixed model to achieve risk classification. Presents credibility mechanisms as refinements of commercial BMSs. Provides practical applications with real data sets processed with SAS software. Actuarial Modelling of Claim Counts is essential reading for students in actuarial science, as well as practicing and academic actuaries. It is also ideally suited for professionals involved in the insurance industry, applied mathematicians, quantitative economists, financial engineers and statisticians.
Insurance Risk and Ruin
Author: David C. M. Dickson
Publisher: Cambridge University Press
Published: 2016-10-27
Total Pages: 307
ISBN-13: 110715460X
DOWNLOAD EBOOKBalancing rigor and intuition, the new edition of this first course in risk theory has added exercises and expands on contemporary topics.
Statistical Extremes and Applications
Author: J. Tiago de Oliveira
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 690
ISBN-13: 9401730695
DOWNLOAD EBOOKThe first references to statistical extremes may perhaps be found in the Genesis (The Bible, vol. I): the largest age of Methu'selah and the concrete applications faced by Noah-- the long rain, the large flood, the structural safety of the ark --. But as the pre-history of the area can be considered to last to the first quarter of our century, we can say that Statistical Extremes emer ged in the last half-century. It began with the paper by Dodd in 1923, followed quickly by the papers of Fre-chet in 1927 and Fisher and Tippett in 1928, after by the papers by de Finetti in 1932, by Gumbel in 1935 and by von Mises in 1936, to cite the more relevant; the first complete frame in what regards probabilistic problems is due to Gnedenko in 1943. And by that time Extremes begin to explode not only in what regards applications (floods, breaking strength of materials, gusts of wind, etc. ) but also in areas going from Proba bility to Stochastic Processes, from Multivariate Structures to Statistical Decision. The history, after the first essential steps, can't be written in few pages: the narrow and shallow stream gained momentum and is now a huge river, enlarging at every moment and flooding the margins. Statistical Extremes is, thus, a clear-cut field of Probability and Statistics and a new exploding area for research.
Distribution Models Theory
Author: Rafael Herrer¡as-Pleguezuelo
Publisher: World Scientific
Published: 2006
Total Pages: 307
ISBN-13: 9812772995
DOWNLOAD EBOOKDistribution Models Theory is a revised edition of papers specially selected by the Scientific Committee for the Fifth Workshop of Spanish Scientific Association of Applied Economy on Distribution Models Theory held in Granada (Spain) in September 2005. The contributions offer a must-have point of reference on models theory. This book has been selected for coverage in: . OCo Index to Scientific & Technical Proceedings- (ISTP-/ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version/ISI Proceedings). Sample Chapter(s). Chapter 1: Modeling Income Distributions Using Elevated Distributions on a Bounded Domain (313 KB). Contents: Modeling Income Distributions Using Elevated Distributions on a Bounded Domain; Making Copulas Under Uncertainty; Valuation Method of the Two Survival Functions; Weighting Tools and Alternative Techniques to Generate Weighted Probability Models in Valuation Theory; On Generating and Characterizing Some Discrete and Continuous Distributions; Some Stochastic Properties in Sampling from the Normal Distribution; Generating Function and Polarization; A New Measure of Dissimilarity Between Distributions: Application to the Analysis of Income Distributions Convergence in the European Union; Using the Gamma Distribution to Fit Fecundity Curves for Application in Andalusia (Spain); Classes of Bivariate Distributions with Normal and Lognormal Conditionals: A Brief Revision; Inequality Measures, Lorenz Curves and Generating Functions; Extended Waring Bivariate Distribution; Applying a Bayesian Hierarchical Model in Actuarial Science: Inference and Ratemaking; Analysis of the Empirical Distribution of the Residuals Derived from Fitting the Heligman and Pollard Curve to Mortality Data; Measuring the Efficiency of the Spanish Banking Sector: Super-Efficiency and Profitability. Readership: Upper undergraduates, graduates, academics, and professionals in mathematics, economics, statistics, and engineering."
