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研究生: 周彥希
Yen-Hsi Chou
論文名稱: A Study on the Ruin Probabilities for the Cramér-Lundberg Model
指導教授: 許順吉
Shuenn-Jyi Sheu
口試委員:
學位類別: 碩士
Master
系所名稱: 理學院 - 數學系
Department of Mathematics
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 52
中文關鍵詞: 破產機率破產時損失之分佈函數合計損失
外文關鍵詞: ruin probability, the distribution of the loss when a ruin occurs, aggregate loss
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  • 本文旨在討論風險資產及破產機率之相關問題。於短期風險模型方面,文中提供
    數個範例,並運用機率論定理以利計算;至於長期風險模型,則探討Cramér-Lundberg
    Model,且聚焦於破產機率與破產時損失之分佈函數,採取兩種方法計算前者。最後介
    紹合計損失的概念,透過對合計損失的分析,得以獲取若干關於風險資產的新觀點。


    The main objects of our study is to consider the risk processes in insurance and to
    discuss their ruin probability. When it comes to the short term risk model, we show some
    examples and briefly discuss how the theorems from probability theory can be used to
    perform analysis. For the long term risk model, we discuss the Cramér-Lundberg Model,
    in which we are interested in the ruin probability and the distribution of the loss when a
    ruin occurs. Two methods are given to calculate the ruin probability. Also, we introduce
    the idea of aggregate loss for the study of risk process, which can be used to do the
    analysis from another point of view. In the first two sections, we briefly discuss the utility
    function and give a review of the basic probability theory.

    摘要 i Abstract ii Contents iii Chapter 1 Introduction 1 Chapter 2 Utility theory and insurance 3 Chapter 3 Basic tools from probability theory 9 Chapter 4 The individual risk model and collective risk models 15 Chapter 5 Ruin theory 23 References 45

    [1] Rob Kaas, Marc Goovaerts, Jan Dhaene and Michel Denuit (2001) ''Modern Actuarial Risk Theory.'' Kluwer Academic Publishers.
    [2] Jan Grandell (1991) ''Aspects of Risk Theory.'' Springer-Verlag.
    [3] Hun Seog (2010) ''The economics of Risk and Insurance.'' Wiley-Blackwell.
    [4] George Casella and Roger L.Berger (2002) ''Statistical Inference, Second Edition.'' Brooks/Cole, Cengage Learning.
    [5] Sidney I. Resnick (2003) ''A Probability Path.'' Birkhäuser Boston.

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