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  • The Mollification Analysis of Stochastic Volatility
    described by a stochastic process: dS = #(S, t)dt + a(S, t)dW where W is a standard Brownian Motion ... and a is the instantaneous standard deviation of S which specifies its volatility. This paper presented ...

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    • Authors: Lijia Guo
    • Date: Jan 1998
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods>Stochastic models
  • Catastrophe Risk Bonds
    catastrophe occurs} ~- {u, +} {interest rate goes up, no catastrophe occurs} = {u, -} (13) {interest ... such as is shown in figure 3. Figure 3 ~ {u, +} {u, -} {a,+} {a, -} Tile values at time 1 of the ...

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    • Authors: Samuel Cox, Hal Warren Pedersen
    • Date: Jan 1998
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods
  • Environment and Financial Markets
    clarity of the fundamental concepts, Crabbe et al., (2000) crucial for making decisions. Further critique ... maximize ∫ 1 0 (X(s) ∧ k)ds which is the global goal! Here k is the maximum capacity and X(s) a diffusion ...

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    • Authors: Wojciech Szatzschneider
    • Date: Jan 2003
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods