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  • On the Confidence Interval of Black-Scholes Model
    On the Confidence Interval of Black-Scholes Model This is the abstract of a paper that derives expressions for the moments of the distribution of the option payoff in a Black Scholes economy.

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    • Authors: Phelim Boyle, Hailiang Yang
    • Date: Jan 1999
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Modeling & Statistical Methods
  • Option Bounds in Discrete Time with Transaction Costs
    Option Bounds in Discrete Time with Transaction Costs Option bounds are obtained in a discrete-time framework with transaction costs. The model represents an extension of the Cox-Ross-Rubinstein ...

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    • Authors: Phelim Boyle, Ton Vorst
    • Date: Jan 1991
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments; Modeling & Statistical Methods
  • Quasi-Monte Carlo Methods in Numerical Finance
    Quasi-Monte Carlo Methods in Numerical Finance This paper introduces and illustrates a new version of the Monte Carlo method that has attractive properties for the numerical valuation of ...

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    • Authors: Phelim Boyle, Ken Seng Tan, Corwin Joy
    • Date: Jan 1999
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Modeling & Statistical Methods>Simulation
  • Immunization Under Stochastic Models of the Term Structure
    Immunization Under Stochastic Models of the Term Structure The purpose of this paper is to survey some new results concerning the term structure of interest rates and discuss actuarial ...

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    • Authors: Phelim Boyle
    • Date: Jan 1980
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Capital management - Finance & Investments; Finance & Investments>Investment policy; Modeling & Statistical Methods>Stochastic models