11. Consider a process whose value changes every h time units; its new value being its old...
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11. Consider a process whose value changes every h time units; its new value being its old value multiplied either by the factor eσ
√h with probability p = 1 2 (1 + μ
σ
√h), or by the factor e−σ
√h with probability 1 − p. As h goes to zero, show that this process converges to geometric Brownian motion with drift coefficient μ and variance parameter σ2.
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