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Loss Reserving

An Actuarial Perspective

  • Greg┬áTaylor

Table of contents

  1. Front Matter
    Pages i-xii
  2. Deterministic Models

    1. Front Matter
      Pages 1-1
    2. Greg Taylor
      Pages 3-16
    3. Greg Taylor
      Pages 17-41
    4. Greg Taylor
      Pages 43-86
  3. Stochastic Models

    1. Front Matter
      Pages 167-167
    2. Greg Taylor
      Pages 169-194
    3. Greg Taylor
      Pages 195-228
    4. Greg Taylor
      Pages 229-262
    5. Greg Taylor
      Pages 263-302
    6. Greg Taylor
      Pages 303-328
    7. Greg Taylor
      Pages 329-344
    8. Greg Taylor
      Pages 345-382
  4. Back Matter
    Pages 383-389

About this book

Introduction

All property and casualty insurers are required to carry out loss reserving as a statutory accounting function. Thus, loss reserving is an essential sphere of activity, and one with its own specialized body of knowledge. While few books have been devoted to the topic, the amount of published research literature on loss reserving has almost doubled in size during the last fifteen years.
Greg Taylor's book aims to provide a comprehensive, state-of-the-art treatment of loss reserving that reflects contemporary research advances to date. Divided into two parts, the book covers both the conventional techniques widely used in practice, and more specialized loss reserving techniques employing stochastic models. Part I, Deterministic Models, covers very practical issues through the abundant use of numerical examples that fully develop the techniques under consideration. Part II, Stochastic Models, begins with a chapter that sets up the additional theoretical material needed to illustrate stochastic modeling. The remaining chapters in Part II are self-contained, and thus can be approached independently of each other. A special feature of the book is the use throughout of a single real life data set to illustrate the numerical examples and new techniques presented. The data set illustrates most of the difficult situations presented in actuarial practice. This book will meet the needs for a reference work as well as for a textbook on loss reserving.

Keywords

accounting modeling research sets stochastic models

Authors and affiliations

  • Greg┬áTaylor
    • 1
  1. 1.Taylor FryAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4583-5
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7070-3
  • Online ISBN 978-1-4615-4583-5
  • Series Print ISSN 0924-5014
  • Buy this book on publisher's site
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