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Author: Jan Widenmann Publisher: Cuvillier Verlag ISBN: 3736945876 Category : Business & Economics Languages : en Pages : 178
Book Description
Diese Dissertation stellt innovative Pricing- und Hedging-Modelle für eine breite Klasse von Versicherungsprodukten vor. Eine wichtige Neuerung im Hinblick auf die existierende Literatur ist dabei das Anwenden F-doppelt stochastischer Markovketten, was die Ausarbeitung der Formeln anhand stochastischer Intensitätsprozesse ermöglicht. Für die Prämienbestimmung für Arbeitslosigkeitsversicherungsprodukte werden die Intensitätsprozesse durch mikro- und makroökonomische stochastische Kovariablenprozesse generiert, um Einflüsse und Abhängigkeitsstrukturen innerhalb von Arbeitsmärkten zu untersuchen. Als Preisregel wird die „Real-World“-Preisformel des Benchmark-Ansatzes gewählt. Für die Bestimmung optimaler Hedgingstrategien werden quadratische Hedging-Methoden auf eine breite Klasse von Versicherungsprodukten, u.a. Lebensversicherungsprodukten, angewandt. Die Lösungen werden dabei anhand der Galtchouk-Kunita-Watanabe-Zerlegung jeweiligen der Schadenprozesse bestimmt.
Author: Jan Widenmann Publisher: Cuvillier Verlag ISBN: 3736945876 Category : Business & Economics Languages : en Pages : 178
Book Description
Diese Dissertation stellt innovative Pricing- und Hedging-Modelle für eine breite Klasse von Versicherungsprodukten vor. Eine wichtige Neuerung im Hinblick auf die existierende Literatur ist dabei das Anwenden F-doppelt stochastischer Markovketten, was die Ausarbeitung der Formeln anhand stochastischer Intensitätsprozesse ermöglicht. Für die Prämienbestimmung für Arbeitslosigkeitsversicherungsprodukte werden die Intensitätsprozesse durch mikro- und makroökonomische stochastische Kovariablenprozesse generiert, um Einflüsse und Abhängigkeitsstrukturen innerhalb von Arbeitsmärkten zu untersuchen. Als Preisregel wird die „Real-World“-Preisformel des Benchmark-Ansatzes gewählt. Für die Bestimmung optimaler Hedgingstrategien werden quadratische Hedging-Methoden auf eine breite Klasse von Versicherungsprodukten, u.a. Lebensversicherungsprodukten, angewandt. Die Lösungen werden dabei anhand der Galtchouk-Kunita-Watanabe-Zerlegung jeweiligen der Schadenprozesse bestimmt.
Author: Thomas Mikosch Publisher: Springer Science & Business Media ISBN: 3540882332 Category : Mathematics Languages : en Pages : 435
Book Description
"Offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It gives detailed discussions of the fundamental models for claim sizes, claim arrivals, the total claim amount, and their probabilistic properties....The reader gets to know how the underlying probabilistic structures allow one to determine premiums in a portfolio or in an individual policy." --Zentralblatt für Didaktik der Mathematik
Author: A. Colin Cameron Publisher: Cambridge University Press ISBN: 1139444867 Category : Business & Economics Languages : en Pages : 1058
Book Description
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.
Author: Greg Taylor Publisher: ISBN: 9780996889704 Category : Languages : en Pages : 100
Book Description
In this monograph, authors Greg Taylor and Gráinne McGuire discuss generalized linear models (GLM) for loss reserving, beginning with strong emphasis on the chain ladder. The chain ladder is formulated in a GLM context, as is the statistical distribution of the loss reserve. This structure is then used to test the need for departure from the chain ladder model and to consider natural extensions of the chain ladder model that lend themselves to the GLM framework.
Author: Stuart A. Klugman Publisher: John Wiley & Sons ISBN: 0470391332 Category : Business & Economics Languages : en Pages : 758
Book Description
An update of one of the most trusted books on constructing and analyzing actuarial models Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.
Author: Walter Zucchini Publisher: CRC Press ISBN: 1482253844 Category : Mathematics Languages : en Pages : 370
Book Description
Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations. The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations. Features Presents an accessible overview of HMMs Explores a variety of applications in ecology, finance, epidemiology, climatology, and sociology Includes numerous theoretical and programming exercises Provides most of the analysed data sets online New to the second edition A total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state process New case studies on animal movement, rainfall occurrence and capture-recapture data
Author: Max Kuhn Publisher: Springer Science & Business Media ISBN: 1461468493 Category : Medical Languages : en Pages : 595
Book Description
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Author: William H. Greene Publisher: Cambridge University Press ISBN: 1139485954 Category : Business & Economics Languages : en Pages : 383
Book Description
It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
Author: Jan Widenmann
Author: Jan Widenmann
Author: Thomas Mikosch
Author: Konstantinos Fokianos
Author: A. Colin Cameron
Author: Greg Taylor
Author: Stuart A. Klugman
Author: American Public Health Association. Annual Meeting
Author: Walter Zucchini
Author: Max Kuhn
Author: William H. Greene