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  • Some Remarks in Statistical Independence and Fractional Age Assumptions
    1. In t roduct ion Consider a general status (u) and its future Lifetime random variable T. Let tP~ ... and the fractional portion of T be S = T - [T], i.e. T = K + S. Assumptions with respect to the joint ...

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    • Authors: Gordon E Willmot
    • Date: Jan 1996
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Demography>Longevity; Finance & Investments>Risk measurement - Finance & Investments
  • Martingales and Ruin Probability
    and then use it to give a short proof of Lundb(ng s inequality. Theorem 1.1. Let X = (X,,)n~r be a sub-martingale ... E(X~ +) < E(iXN]). (1) A.P( ,nax X,, > A) < E(XN : u<,<N o _ < , , < N - - - - _ _ - - - - - - ...

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    • Authors: Gordon E Willmot, Hailiang Yang
    • Date: Jan 1996
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • Non-exponential Bounds on the Tails of Compound Distributions
    Pr (X=n)=p~, n = 0 ,1 ,2 , . . . . (1) Let S = X 1 + X 2 -1- . . . + X N (2) We are interested ... in estimating the tail probability (~,(x) = Pr (S > x), x > O, 3) which has applications in many ...

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    • Authors: Gordon E Willmot, Xiaodong Sheldon Lin
    • Date: Jan 1996
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models