If the option has n look-at dates how many pseudo-random
Suppose we wish to price an Asian option by Monte Carlo using a jump-diffusion model with log-normal jumps. If the option has N look-at dates, how many (pseudo-)random numbers will be needed per path? What if the jumps are not log-normal?
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Explain the risks of not reporting the results of your forensic assessment findings accurately. Provide specific examples.
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