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  • Value-Oriented Risk Management of Insurance Companies

    Collections series Mathematics and Statistics (R0)
    Value- and risk-oriented management is a holistic method of managing businesses. In this book both actuarial methods and methods pertaining to classical internal control and classical risk management are used. Therefore the approach taken is necessarily interdisciplinary. Indeed, there is a new dynamically developing field for actuaries as a result of the emphasis now on the measurement of risk ... En savoir plus

    $89.99 CAD

  • Wertorientiertes Risikomanagement von Versicherungsunternehmen

    Collections series Life Science and Basic Disciplines (German Language)
    Dieses Buch gibt einen methodisch fundierten Zugang zum wertorientierten Risikomanagement, einem fachübergreifenden Aufgabengebiet, das Komponenten aus dem Controlling und dem Aktuariat umfasst. Der anwendungsorientierten Ansatz versetzt den Leser in die Lage, ein auf quantitativen Methoden basiertes Risikomanagement unter kritischer Würdigung seiner Grenzen praktisch im Unternehmen zu ... En savoir plus

    $29.99 CAD

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    Focusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals ... En savoir plus

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  • Optimization Models

    Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify, model and solve optimization problems - and apply these principles to their own projects. A clear and ... En savoir plus

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  • Financial Modeling, Actuarial Valuation and Solvency in Insurance

    Collections series Mathematics and Statistics (R0)
    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 ... En savoir plus

    $115.29 CAD

  • Regression Modeling with Actuarial and Financial Applications

    par Edward W. Frees ...
    Collections series International Series on Actuarial Science
    This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical ... En savoir plus

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  • Predictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques

    Collections series International Series on Actuarial Science
    Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management ... En savoir plus

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  • Modelling Longevity Dynamics for Pensions and Annuity Business

    Mortality improvements, uncertainty in future mortality trends and the relevant impact on life annuities and pension plans constitute important topics in the field of actuarial mathematics and life insurance techniques. In particular, actuarial calculations concerning pensions, life annuities and other living benefits (provided, for example, by long-term care insurance products and whole life ... En savoir plus

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  • Mathematical and Statistical Methods for Actuarial Sciences and Finance

    Modifié par Cira Perna, Marilena Sibillo ...
    Collections series Mathematics and Statistics (R0)
    The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out to this aim. ... En savoir plus

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  • Excel Data Analysis

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    Collections series Business and Management (R0)
    Why does the World Need—Excel Data Analysis, Modeling, and Simulation? When spreadsheets ?rst became widely available in the early 1980s, it spawned a revolution in teaching. What previously could only be done with arcane software and large scale computing was now available to the common-man, on a desktop. Also, before spreadsheets, most substantial analytical work was done outside the classroom ... En savoir plus

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  • Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

    Collections series International Series on Actuarial Science
    Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long ... En savoir plus

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  • Handbook on Loss Reserving

    Collections series Mathematics and Statistics (R0)
    This handbook presents the basic aspects of actuarial loss reserving. Besides the traditional methods, it also includes a description of more recent ones and a discussion of certain problems occurring in actuarial practice, like inflation, scarce data, large claims, slow loss development, the use of market statistics, the need for simulation techniques and the task of calculating best estimates ... En savoir plus

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