作者t0444564 (艾利欧)
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标题[试题] 101上 韩传祥 数理金融导论 小考
时间Mon Dec 10 16:32:10 2012
课程名称︰数理金融导论
课程性质︰数学系选修
课程教师︰韩传祥
开课学院:理学院
开课系所︰数学系
考试日期︰2012年12月10日
考试时限:12:20 - 13:00,共40分钟
是否需发放奖励金:是
背景介绍:因为期中考大家考得不甚理想,所以教授就出了这份小考题目,
题目和期中考的题目很类似。
其中,期中考第二题答对15分以上的同学需要做第二页题目,
其他同学做第一页题目。
试题 :
Page 1
Quiz: Introduction to Mathematical Finance
2012/12/10
[Notation:W_(t≧0) is an one-dimensional Browian motion.]
Total points:35.
1. Prove that (W_t)^2 is a submartingale by two approaches:
(a) Definition: Show that E{(W_t)^2 | W_(0≦u≦s)} ≧(W_s)^2.
(b) Ito's Lemma: Compute d(W_t)^2 and use that its drift term coeficiente is
positive.
2. (Stochastic Differential Equation, SDE)
(a) If the SDE d(S_t) = (α_t)dt + (β_t)d(W_t) =0 for each t≧0, show that
α_t = β_t = 0 for each t≧0.
(b) Solve the Black-Scholes SDE
d(S_t) = μ(S_t)dt + σ(S_t)d(W_t), S_0 = x.
And what are the mean and variance of S_t?
(c) Solve the following sde,
d(S_t) = (μ_t)(S_t)dt + (σ_t)(S_t)d(W_t), S_0 = x.
(d) Solve the following mean-reverting SDE,
d(r_t) = α(m - r_t)dt + σd(W_t), r_0 = x.
And what are the mean and variance of r_t?
(e) Solve the following sde,
d(r_t) = α(m_t - r_t)dt + (σ_t)d(W_t), r_0=x.
Page 2
Quiz: Introduction to Mathematical Finance
2012/12/10
[Notation: W_(t≧0) is an one-dimension Brownaion motion.]
Total Points: 35.
1. Prove that (W_t)^2 is a submartingale by two approaches:
(a) Definition: Show that E{(W_t)^2 | W_(0≦u≦s) } ≧(W_s)^2
(b) Ito's Lemma: Compute d(W_t)^2 and use that its drift term coeficiente is
postiive.
2. If the SDE d(S_t) = (α_t)dt+(β_t)d(W_t) = 0 for each t≧0, show that α_t=
β_t = 0 for each t≧0.
3. 若X_t是下列随机微分方程的解
d(X_t) = (μ(X_t) + μ')dt + (σ(X_t) + σ')d(W_t), X_0 = 0
且令S_t = exp{[μ-(σ^2)/2]t +σ(W_t)}。
1. 推导出(S_t)^(-1)所满足的随机微分方程式。
2. 证明d{(X_t)[(S_t)^(-1)]} = [(S_t)^(-1)](μ'-σ'σ)dt + σ'd(W_t).
3. 推导出X_t的解。
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