1. Brownian Motion and Martingales:
Let (Wt)t≥0, and (Zt)t≥0 be two independent Brownian motions. Use the definition of Brownian motion and the definition of a martingale to show whether or not the following stochastic processes are standard Brownian motions and/or martingales, respectively (both for all three).
(a) (St(1))t≥0 where St(1) = Ρ Wt + (1 - Ρ) Zt and 0 ≤ Ρ ≤ 1 is a constant.
(b) (St(2))t≥0 where St(2) = Wt+t0 = Wt0.
(c) (St(3))t≥0 where ,St(3) = Wt Zt.
2. Path of Bachelier Model:
Consider the Bachelier model for the stock (St)t≥0:
St = S0 ± a t + b Wt,
where (Wt)t≥0 is a Brownian motion and a, b > 0.
(a) Download daily data for the S&P 500 index for the twenty year period beginning in January 1994 until the end of 2013 (e.g., from yahoo finance). Use the data to estimate a and b for this model.
(b) Use Excel or another spreadsheet software to simulate a (discretized) sample path of a the Bachelier model over the year 2014 using 250 equidistant time steps, and compare it to the realized path. Just hand in the resulting plot.
3. Quadratic Variation 1:
Let Xt = X0 (μ - 0.5 σ2) t + σWt, where (Wt)t≥0 is a Brownian motion. You are given the following two statements concerning Xt.
(a) Var[Xt+h - Xt] = σ2 h, 1 ≥ 0, h ≥ 0.
(b) limn→∞j=1Σn [XjT/n - X(j-1)T/n]2 = σ2 T ,T ≥ 0.
Which of them is true? Provide an explanation for your answer.
4. Quadratic Variation 2:
Define:
(a) St(1) = [t] , where [t] is the greatest integer part of t; for example, [3.14] = 3, [9.99] = 9, and [4] = 4.
(b) St(2) = 2t + 0.9 Wt, where (Wt)t≥0 is a standard Brownian motion.
(C) St(3) = t2.
Let h = T/n and let
VT(2)(i) = limn→∞j=1Σn [Sjh(i) - S(j-1)h(i)]2
denote the quadratic variation of the process S(i) over the time interval [0, T]. Rank the quadratic variations VT(2)(1) , VT(2)(2), and VT(2)(3) over the time interval [0, 2.4]. Provide an explanation for your answer.