Ito's lemma - 經濟

By Poppy
at 2008-10-17T08:05
at 2008-10-17T08:05
Table of Contents
※ 引述《sw0079 (極限操作)》之銘言:
: 學校:SFU(溫哥華西岸的學校)
: 教師:R.Jones
: 科目:Futures, options and other deriatives
: 題目:Ito's lemma
: 1. Ito's Lemma:
: Let the price s(t) of a security follow the Ito process
: ds =α s dt +δ s dz
: (a) Use Ito's Lemma to determine the process followed by y(t)= ln s(t).
S(t) follows the Geometric Brownian motion
Since y(t)is a function of S,by Ito's Lemma
We can derive the stochastic process followed by y
dy = [αS*(1/S)+0+1/2*(δS)^2*(-1/S^2)]dt + δdz
dy = (α-1/2*δ^2)dt+δdz----(a)
that is,in discrete case
㏑S_t - ㏑S_0 ~ N( (α-1/2*δ^2)T,δ^2*T )
㏑S_t ~ N( ㏑S_0+(α-1/2*δ^2)T , δ^2*T )
y(3) = ㏑S_3 ~ N( ㏑S_0 + 3*(α-1/2*δ^2) , 3*δ^2 )----(b)
(c)
Given S_0
㏑S_t is normally distributed with mean ㏑S_0 +(α-1/2*δ^2)*T
and variance δ^2*T
X is a random draw from it and has been standardlized,that is
㏑S_t - E(㏑S_t) ㏑S_T - [㏑S_0 + (α-1/2*δ^2)*T]
X = ------------------- = ----------------------------------- ~ N(0,1)
√Var(㏑S_t) δ√T
㏑S_T = (δ*√T)*X + ㏑S_0 +(α-1/2*δ^2)T
S_T = exp[ Xδ√T + ㏑S_0 + (α-1/2*δ^2)T]
S_3 = exp[√3Xδ + ㏑S_0 + 3*(α-1/2*δ^2)]
好像是這樣 已經忘的差不多了= =
有錯請指正
: (b) What is the probability distribution of y(3) in terms of y(0), and
: (i.e., what is the type of distribution, its mean and its variance)
: (c) If you were given s0 = s(0) and a random draw X from the type of
: distribution in (b),but it was standardized to have mean 0 and variance 1,
: how would you convert it into a random draw of s(3)?
: (i.e., of the security price at time 3)
: 翻譯:
: 讓證卷價錢依照伊藤過程
: a.) 用伊藤過程決定算出y(t)=ln s(t)
: b.) y(3)的可能分配是什麼?
: (i.e., 怎樣的分配? 平均數跟變異數又是什麼?)
: c.) 如果知道s0 = s(0) (s0的0是標在下面的) 而且現在從(b.)的分配裡面隨機抽取X,
: 可是X有個mean = 0 and variance = 1, 那當s(3)的時候你的X會變成怎樣?
: 我的想法:
: 這題其實老師有在黑板寫可是我還是看不太懂
: 我自己用小畫家畫了一下解答
: http://0rz.tw/344Sx
: yss=y的開兩次deriative
: 請問這就是解答了嗎? 可是總覺得(b)還沒回答完,但是又不知道要怎麼代入
: 另外(c)老師是這樣寫的
: y=ln s --> s= e^y (^是開平方,所以e^2=e的二次方 etc)
: convert to S(T) : EXP( ln S(0) + z) --> S(0)*EXP(z)
: 這個我也看不懂 伊藤過程好難啊 這些東西到底要怎麼帶入才會算出答案呢??
--
: 學校:SFU(溫哥華西岸的學校)
: 教師:R.Jones
: 科目:Futures, options and other deriatives
: 題目:Ito's lemma
: 1. Ito's Lemma:
: Let the price s(t) of a security follow the Ito process
: ds =α s dt +δ s dz
: (a) Use Ito's Lemma to determine the process followed by y(t)= ln s(t).
S(t) follows the Geometric Brownian motion
Since y(t)is a function of S,by Ito's Lemma
We can derive the stochastic process followed by y
dy = [αS*(1/S)+0+1/2*(δS)^2*(-1/S^2)]dt + δdz
dy = (α-1/2*δ^2)dt+δdz----(a)
that is,in discrete case
㏑S_t - ㏑S_0 ~ N( (α-1/2*δ^2)T,δ^2*T )
㏑S_t ~ N( ㏑S_0+(α-1/2*δ^2)T , δ^2*T )
y(3) = ㏑S_3 ~ N( ㏑S_0 + 3*(α-1/2*δ^2) , 3*δ^2 )----(b)
(c)
Given S_0
㏑S_t is normally distributed with mean ㏑S_0 +(α-1/2*δ^2)*T
and variance δ^2*T
X is a random draw from it and has been standardlized,that is
㏑S_t - E(㏑S_t) ㏑S_T - [㏑S_0 + (α-1/2*δ^2)*T]
X = ------------------- = ----------------------------------- ~ N(0,1)
√Var(㏑S_t) δ√T
㏑S_T = (δ*√T)*X + ㏑S_0 +(α-1/2*δ^2)T
S_T = exp[ Xδ√T + ㏑S_0 + (α-1/2*δ^2)T]
S_3 = exp[√3Xδ + ㏑S_0 + 3*(α-1/2*δ^2)]
好像是這樣 已經忘的差不多了= =
有錯請指正
: (b) What is the probability distribution of y(3) in terms of y(0), and
: (i.e., what is the type of distribution, its mean and its variance)
: (c) If you were given s0 = s(0) and a random draw X from the type of
: distribution in (b),but it was standardized to have mean 0 and variance 1,
: how would you convert it into a random draw of s(3)?
: (i.e., of the security price at time 3)
: 翻譯:
: 讓證卷價錢依照伊藤過程
: a.) 用伊藤過程決定算出y(t)=ln s(t)
: b.) y(3)的可能分配是什麼?
: (i.e., 怎樣的分配? 平均數跟變異數又是什麼?)
: c.) 如果知道s0 = s(0) (s0的0是標在下面的) 而且現在從(b.)的分配裡面隨機抽取X,
: 可是X有個mean = 0 and variance = 1, 那當s(3)的時候你的X會變成怎樣?
: 我的想法:
: 這題其實老師有在黑板寫可是我還是看不太懂
: 我自己用小畫家畫了一下解答
: http://0rz.tw/344Sx
: yss=y的開兩次deriative
: 請問這就是解答了嗎? 可是總覺得(b)還沒回答完,但是又不知道要怎麼代入
: 另外(c)老師是這樣寫的
: y=ln s --> s= e^y (^是開平方,所以e^2=e的二次方 etc)
: convert to S(T) : EXP( ln S(0) + z) --> S(0)*EXP(z)
: 這個我也看不懂 伊藤過程好難啊 這些東西到底要怎麼帶入才會算出答案呢??
--
Tags:
經濟
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