Introduction to Stochastic Calculus & Application in Finance

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2019-03-12 20:50:40
2019-03-12 21:42:02
master thesis既話short rates model加個jumps再做埋calibration已經夠有突
2019-03-12 22:09:58
hull white x SV x jump diffusion
2019-03-12 23:30:36
都仲是affine process 叫做有semi closed form
2019-03-13 00:05:55
我諗住改個mean reversion就當係新model
2019-03-13 01:58:39
4.) Girsanov Thoerem (Change of measure) & its application

e.g. Exchange option

(vi) Supplementary prove

上一個cm我話過會prove一次呢個result
咁就唔好懶prove一次啦

咁點先可以證到佢真係wiener process under Q*?
首先就要記返起究竟何謂wiener process先
唔知大家仲記唔記得definition 如果唔記得可以望返下圖

第一點 = stationary increment
第二點 = independent increment
第三點 = start at 0 almost surely
然後我地一路討論緊嘅全部都係standard Brownian motion
所以我就唔再加standard喺前面 大家明就得

咁依家我地只要show到 W^{Q}_{independent}(t) 喺under Q*嘅情況都satisfy以上三點
我地就知道佢under Q*都係Brownian motion
但係其實唔洗咁煩 因為有另一個theorem可以幫到我地手 請睇下圖
(呢個Theorem嘅prove我擺最後 有興趣就望下啦)


所以簡單咁講 如果你show到 {W_t} 符合上面三個conditions
咁 {W_t} 都會同時 satisfy曬 Brownian motion 嘅definition
{W_t} 就肯定係 Brownian motion

咁我地依家嘅目標就變咗係show W^{Q}_{independent}(t) satisfy Levy's Characteristics裡面嘅三個conditions
而我諗我都有必要逐點解釋下呢個theorem啲用字 因為都有幾多我係未提過

首先第一個condition就唔洗解釋 同本身definition入面 start at 0 almost surely 嗰句一模一樣

然後第二個condition 唔知大家仲有冇印象Martingale係啲乜
冇乜嘅話可以去返頭幾版溫一溫書先 或者望一望下圖

眼利嘅咁多位應該會留意到
Levy's Characteristics幅圖入面 Martingale前面我括住咗 "local"
由於local martingale牽涉到stopping time 而我唔想呢個post變introduction to probability theory
所以呢度就唔詳細解釋究竟咩為之local martingale
同埋就算唔知local martingale係乜都對大家理解之後嘅嘢冇乜影響
所以依家知道martingale係乜就夠

最尾第三個condition
屌其實Quadratic Variation我更加唔知可以點樣係度解釋
不過有一句我諗大家會易啲明嘅statement 同 quadratic variation of W_t = t 係equivalent嘅
就係下圖呢句


所以我地將Levy's Characteristic寫返做大家都更大機會睇得明嘅樣先

由於第一個condition係trivial地啱
咁即係我地只要prove到 W^{Q}_{independent}(t) satisfies 第二同第三個condition就搞掂

而要prove W^{Q}_{independent}(t) satisfies呢兩個condition
我地又要出動第二個theorem 就係Girsanov Theorem
點解關girsanov theorem事嘅原因我諗都唔係太難理解
因為喺我地學過嘅嘢入面 只係得佢可以將兩個唔同嘅measure/world連繫埋一齊
不過我以下present嘅版本會比之前更加formal


詳細啲terms點解都應該冇可能喺度解釋到
睇下有冇高手出馬開個講probability theory嘅post
但係大家只需要知道下圖呢兩句係啱嘅就得


咁我地可以正式開始proof
其實個proof都算straight forward 都係check definition
但係我地要知道嘅background knowledge嘅篇幅長佢幾倍


之後其實都會經常用到呢個result 所以先想花咁多功夫去prove一次
證明比大家睇我用嘅result係嚴謹嘅
----------------------------------------------

Prove of Levy's Characteristics of Brownian Motion



where definition 6.2 is given as below


----------------------------------------------

本來諗住晏晝打好佢 結果一睡不醒
最終搞到兩點先post到
其實我依家同時都整理緊之前20幾頁打過嘅嘢
將用word打嘅圖轉返曬用latex打 同埋 將個鋪排再執好啲
有啲解釋得唔好嘅位會再解釋得詳細啲
內容應該包括一開始 wiener process 到 quanto options
我執好就會擺個pdf上黎比大家過目下
p.s. 唔好有太大期望 份嘢啲格式應該會好撚柒

另外再宣傳下先 其實我係開咗個telegram group嘅
大家有興趣就入黎吹下水 雖則依家都冇乜人講嘢
2019-03-15 17:29:01
推下先 應該今個weekend會有update
講咗24頁 我地終於講完大約兩個chapter嘅content
2019-04-03 22:45:24
4.) Girsanov Theorem (Change of measure) & its application

e.g. Black-Scholes + Vasicek

(i) Motivation
上星期三份assignment打到埋身所以完全冇時間出post
今次講嘅唔係一啲特別嘅derivatives 反而比較似一個generalisation
Black-Scholes嘅缺點你知我知單眼佬都知
呢一個cm我地就嘗試tackle其中一個:Constant interest rate

現實世界嘅interest rate無論係interbank rate定係govt rate都無可能係constant
咁我地可以點做令Black-Scholes model更加貼近現實?
其中一個辦法就係將interest rate變做stochastic
i.e. 假設 (instantaneous) interest rate follows 某啲 process

而最簡單嘅case應該就係Vasicek model
喺前面我地亦都已經揾曬關於呢個model我地暫時需要知道嘅嘢
所以今次我地玩下fusion 睇下Black-Scholes + Vasicek會發生咩事

*** Disclaimer ***
1.) 依家我地係直接model instantaneous interest rate (r_t)
然後話 "r_t follows Vasicek model"
不過現實係我地唔會喺market observe 到 instantaneous 嘅 interest rate
我地可能會有6-month rate 3-month rate 但係幾乎無可能observe到 e.g. 1-second rate
所以大家其實應該將 r_t 睇成係一個concept 而唔係一樣實際observe到嘅嘢
p.s. 真正observe到例子有zero rate R(t,T)同LIBOR

2.) 呢個cm並唔係short rate model嘅introduction
將BS同Vasicek溝埋一齊用純粹係比大家feel下stochastic interest rate嘅Black-Scholes係點樣
我諗我亦都冇乜可能可以喺呢個post 1001之前講到short rate model
正如我之前所講 fixed-income嘅content已經絕對足夠獨立開一個post講
而我亦都冇信心講得好 睇下有冇高手出招
*** Disclaimer ***

(ii) Setting & Background
其實個setting又唔係話真係好複雜
只不過係除咗普通Black-Scholes條process之外我地再加多條for interest rate嘅process
WLOG 我地可以assume埋兩條processes各自嘅Brownian motion有correlation ρ
咁成個setting就會好似下圖咁


而仲有樣嘢我地係需要知道
就係 Zero coupon bond price 嘅 dynamics
呢樣嘢我地之前已經揾過一次 所以我就直接show result
至於點解我地需要知道呢樣嘢 繼續睇落去你就會知


咁大家睇到bond price其實都係follows GBM
所以我地可以再consider ito's lemma on ln[P(t,T;r_t)]
從而揾到at arbitrary two time points嘅bond prices有咩關係


(iii) European call price
有咗上面嘅setting 其實我地依家想price乜都得
因為 by no-arbitrage principle + risk-neutral valuation
任何寫得出payoff (at maturity)嘅derivative都應該satisfies下圖條式


所以只要你specify個payoff俾我
我就可以用Black-Scholes + Vasicek嘅framework price到隻deriv
當然有冇closed-form就另作別論 就算冇我地都可以用simulation去做pricing
話雖如此 我地最好都係一步一步嚟 首先試下price最基本嘅deriv先
European call最基本應該冇人反對啦 (put price可以用put-call parity揾 所以呢度就唔詳細講)

European call at maturity嘅payoff應該係咁

所以佢嘅 at any time t < T 嘅price就變成下圖咁


跟住其實都係用返同bond option/exchange option好似嘅tricks
我地都係想諗辦法整走舊stochastic discount factor先
根據我地之前嘅經驗 只要利用P(T,T) = 1呢點就可以順利整走佢


跟住就係要整走expectation裡面舊exponent
個form咁熟口面又係Girsanov Theorem出馬
用完我地就會揾到第二條Brownian motion under Q*-measure同Q-measure嘅關係
然後我地可以靠Cholesky decomposition 揾埋第一條Brownian motion under Q*-measure同Q-measure嘅關係
(呢兩個steps嘅details喺之前已經詳細講過/prove過 所以唔再重複)


順利整走咗舊exponent之後我地就可以繼續做落去睇下有冇靚嘅close-form
其實大家應該都feel到最尾個答案會好似最原本Black-Scholes call price個樣咁
就好似之前啲example咁 大致上就係sub咗r=0同vol有啲複雜嘅Black-Scholes call price
但係我地仲要解決兩個問題先

首先如果你好似普通GBM咁爆開S_T

就會發現裡面仲有一舊類似stochastic compound factor嘅物體
我地已經冇得當佢係constant 所以仲要諗下辦法整走佢
其實又係靠P(T,T)=1呢招

其次就係我地仲未將S_t同P(t,T;r_t)兩條processes由under Q-measure轉做under Q*-measure
因為我地舊expectation依家係taken under Q*-measure
所以我地冇得唔轉 但係都唔係太複雜 慢慢做就ok

下面我會喺圖入面解決曬呢兩個問題 唔再分開解釋





最尾條pricing formula其實同普通Black-Scholes條call price幾乎一樣
只係我地用P(t,T)取代咗r (set r= 0)
而咩係P(t,T)? 就係 (mature at time T 嘅) zero coupon bond at time t 嘅 price
大家諗真啲 其實佢同discount factor嘅效果係差唔多
如果at time T到期收到$1 咁依家(time t)嘅price咪就係discount factor
只不過呢個bond price at time t (under filtration F_t) 一定係known value 唔會係random

所以換句話說 如果我地adopt呢個model去計call price
咁其實我地根本就唔需要煩用邊一粒interest rate好
我地只要揾到相應嘅zero coupon bond price就ok
不過大前提就梗係你覺得用Vasicek model去描述instantaneous rate係準確嘅
2019-04-04 15:10:13
對financial maths有興趣嘅話最好唔好做精算

Pricing同valuation唔少sub-team對呢啲數唔會有咩接觸
2019-04-04 19:08:29
真係對mathematical finance有興趣就起碼讀個PhD先
2019-04-04 20:40:58
有冇做過intern?
2019-04-04 21:50:43
2019-04-04 22:34:39
2019-04-04 22:35:34
4.) Girsanov Theorem (Change of measure) & its application

e.g. Black-Scholes + Vasicek

(i) Motivation

不過大前提就梗係你覺得用Vasicek model去描述instantaneous rate係準確嘅


唔知有無記錯 個final result應該independent of 個short rate model, 只會depends on market price of zcb, price of the underlying, I, T, and IV.
2019-04-04 22:53:15


係呀冇記錯 最尾個答案係independent of r_t, i.e. independent of short rate model
到頭黎其實只需要知道zero coupon bond price就夠
2019-04-04 22:57:46
2019-04-04 23:36:54
2019-04-08 00:31:03
2019-04-08 09:46:57
2019-04-08 13:18:26
2019-04-11 10:41:57
update下先
今個weekend應該會有時間講埋Quanto options
Quanto即係一啲牽涉exchange rate/currency嘅product
希望可以一次過講完 不過多數都唔得
然之後又要停1-2個禮拜 因為話咁快又final了
2019-04-11 12:40:28
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