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Ruin Models Featuring Interest and Diffusion.

机译:具有兴趣和扩散的废墟模型。

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摘要

This thesis brings together a number of extensions to risk theory models. Initially, we consider a multi-threshold compound Poisson surplus process with interest earned at a constant rate. More precisely, when the initial surplus is between any two consecutive thresholds, the insurer has the option to choose the respective premium rate and interest rate. Another feature is consideration of the "absolute ruin" scenario, in which one is allowed to pay interest on the current amount of deficit whenever the surplus falls below zero. Starting from the integro-differential equations satisfied by the Gerber-Shiu function that appear in Yang et al. (26), we consider exponentially and phase-type(2) distributed claim sizes, in which cases we are able to transform the integra-differential equations into ordinary differential equations. Subsequently, explicit solutions in series form are provided.;Also, we study the absolute ruin and the standard ruin problems in a Markovian Arrival Process (MAP) risk process with an underlying Continuous Time Markov Chain (CTMC) with m states and phase-type claim amounts. Under a certain restriction, we find the Laplace transform of the Gerber-Shiu function in the absolute ruin model. Moreover, we find the Gerber-Shiu function in some particular cases with two states, where the MAP represents Erlang Inter Arrival Times (Erlang IATs), a Markov Modulated Poisson process (i.e. between two environmental states) and a contagion model.;We also consider a multi-layer compound Poisson surplus process perturbed by diffusion and examine the behavior of the Gerber-Shiu discounted penalty function. We derive the general solution to a certain second order integra-differential equation. This permits us to provide explicit expressions for the Gerber- Shiu function depending on the current surplus level. If the diffusion term converges to zero, the above-mentioned explicit expressions converge weakly to those under the classical Compound Poisson model, provided that the same initial conditions apply.
机译:本文结合了风险理论模型的许多扩展。最初,我们考虑具有固定利率的多阈值复合Poisson盈余过程。更准确地说,当初始盈余在任何两个连续的阈值之间时,保险人可以选择各自的保费率和利率。另一个特征是考虑“绝对破产”的情况,在这种情况下,只要盈余降至零以下,就可以对当前的赤字金额支付利息。从Yang等人中出现的Gerber-Shiu函数满足的积分微分方程开始。 (26),我们考虑指数和相位类型(2)分布式索赔的大小,在这种情况下,我们能够将积分微分方程转换为常微分方程。随后,提供了系列形式的显式解。;此外,我们研究了具有m状态和相位类型的基础连续时间马尔可夫链(CTMC)的马尔可夫到达过程(MAP)风险过程中的绝对破坏和标准破坏问题索赔金额。在一定的限制下,我们在绝对废墟模型中找到了Gerber-Shiu函数的Laplace变换。此外,我们发现在某些特殊情况下具有两个状态的Gerber-Shiu函数,其中MAP表示Erlang到达时间(Erlang IAT),Markov调制Poisson过程(即两个环境状态之间)和传染模型。考虑被扩散扰动的多层复合Poisson剩余过程,并检验Gerber-Shiu折现罚函数的行为。我们推导出某个二阶积分微分方程的一般解。这使我们能够根据当前的剩余水平为Gerber-Shiu函数提供明确的表达式。如果扩散项收敛到零,则在适用相同初始条件的情况下,上述显式表达式与经典复合泊松模型下的表达式明显收敛。

著录项

  • 作者

    Mitric, Ilie Radu.;

  • 作者单位

    The University of Western Ontario (Canada).;

  • 授予单位 The University of Western Ontario (Canada).;
  • 学科 Statistics.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 105 p.
  • 总页数 105
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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