Introduction to Stochastic Calculus & Application in Finance
宇智波月巴 2018-10-19 15:40:09 btw我呢兩三日都應該出唔到post
:^(

幾個midterm打到埋身 想抽時間都抽唔到

完咗midterm之後我應該會整一個review先
同大家複習返我地依家嘅進度

同埋會補充返一啲basic嘅嘢
例如pdf,cdf,mean,var 呢啲基礎嘅stat knowledge

仲有會講下一啲basic嘅derivative product同concept
e.g. (future, call, put, barrier options, European/American style, exotic options,bond之類)
等冇乜fina底嘅觀眾都可以理解我之後做緊乜

完咗個review就會入下一個section —— Black Scholes Merton Model

Ads

Markovnikov 2018-10-19 15:55:19 此回覆已被刪除
SoyuzNerushimy 2018-10-19 16:15:47 此回覆已被刪除
DLLMEAA 2018-10-19 18:19:07 我n展都要讀ODE同少少PDE,stat反而冇學會唔會太過份
:^(
紐倫港 2018-10-20 05:15:40 lm
薯餅 2018-10-20 13:09:01 樓主可唔可以講下點樣由零數底學到呢一步?
:^(
誠哥的繼承者們 2018-10-20 13:28:28 Ito lemma
要由最fundamental ge calculus definition入手
宇智波月巴 2018-10-20 15:23:54 Math
-中學數
-m2 (basic calculus & linear algebra)
-a level pure math
-university math (formal calculus and more related theorems)
-Linear algebra
-Multi-variable calculus (d同in)
-ODE+PDE

Stat
-Basic concept (mean,var,cov,corr,pdf,cdf,joint dist, conditional prob/dist)
-Overview of different distributions (binomial,poison,geometric,negative binomial,uniform,normal,exponential,gamma,beta,student t,F,χ^2)
-Useful theorems (CLT/FCLT, Law of large number)
-Hypothesis testing
-Regression
-Statistical Inference
-Time series

我當初大概就係咁樣學上去
:^(
(不過我未take PDE)
當然仲有其他嘢係可以讀

e.g. real analysis
因為probability thoery其實就係由real analysis整出黎(確切啲講係measure theory)
讀埋呢個你睇任何stat同mathematical finance嘅proof都唔會有問題
p.s. 如果你唔係勇者就唔好讀啦
:^(

———————
其實就咁讀finance的確係唔需要學咁多數
9成都係作文老吹睇表畫線
:^(

就算真係學都應該學programming

但係如果你學嘅係risk man
咁數底就好重要 因為我地好多時都需要依靠model黎approximate一啲”risk”
而呢啲model就係用上面嘅數去build up
始終risk呢樣嘢冇得靠吹水作文
:^(
宇智波月巴 2018-10-20 15:24:19 welcome to real analysis
:^(
:^(
SoyuzNerushimy 2018-10-20 15:54:47 此回覆已被刪除
算子代數 2018-10-20 17:26:22 stat方面有乜參考書

Ads

宇智波月巴 2018-10-20 17:38:25 我讀過嘅stat course多數都係下面呢幾本

Hogg, R. V. , Tanis, E. A. Zimmerman, D. L. (2015) Probability and Statistical Inference, 9th edition, Pearson.

Suhov, Y. and Kelbert, M. (2005) Probability and Statistics by Example: Volume
1, Basic Probability and Statistics. Cambridge, UK; New York: Cambridge University Press.

Hogg, McKean and Craig (2005) Introduction to Mathematical Statistics, 6th
edition, Prentice Hall.

Casella, G. and Berger, R. L. (2002). Statistical Inference, Duxbury Press.
算子代數 2018-10-20 17:41:28 thanks, 我想問啲書exercise會做幾多,揀邊啲嚟做?
沈船合體機械人 2018-10-20 17:45:31 Strong post li, btw 無讀過a math 有無得救
:^(
宇智波月巴 2018-10-20 17:48:14 我其實都冇乜做過ref book嘅exercise 所以呢個真係答唔到你
:^(

通常我都係lecture/tutorial notes睇唔明先會睇埋ref book

不過我諗都冇需要做曬 (每題都做實在太曬時間)
做exercise到頭黎其實都係想確保自己concept冇錯
真係難同抽象嘅section就睇多幾條
究竟叫咩好 2018-10-20 18:05:00 支持樓主
:^(
呢個Course係某stat related major號稱最難,樓主應該幫到唔少人
:^(

可惜我上個SEM讀左, 我地相逢恨晚
:^(
宇智波月巴 2018-10-20 18:19:49 冇話有冇得救嘅 都係睇你肯花幾多時間去學

如果要學到睇得明stoc cal 我覺得下面呢啲野係最重要

-Linear algebra
因為high dimensional嘅野通常都係用matrix同vector form寫低
同埋對之後simulation都有用

-Multi-variable calculus (d同in)
呢個唔洗講點解有用啦
:^(


-ODE+PDE
你見ito's lemma個樣同pde咁似 就知道學埋ode pde實無死
:^(

同埋之後講到black scholes你就會見到pde同stoc cal其實好有關係

-Basic stat (moment, distribution, CLT/FCLT, law of large number)
始終應用得最多stoc cal嘅field就係finance
而finance關心嘅野其實好多時都係一啲stat嘅問題 (Mean = average, std dev = volatility 之類)
所以係需要一啲stat嘅background

-Stochastic process
雖然我只係講咗wiener process 但係其實仲有好多其他嘅random processes
(e.g. Bernoulli process, poisson process)
而本身random process已經有好多野可以講
(e.g. markov chain, transition prob matrix, birth death process)
而stoc cal其實就係建基於呢啲野 再去問啲類似"rate of change"嘅問題
寒武紀 2018-10-20 18:53:15 留名
天使安吉兒 2018-10-20 18:55:32 lm
詩人松島安 2018-10-21 14:09:53 以前學過,但最後一堂阿 sir 先同我地講 derivatives quant 已經收左皮,叫我地向第二個方向發展
:^(
DSP 2018-10-21 15:14:25 細電仔留名
玩signal processing
一堆stat野

Ads

算子代數 2018-10-21 16:04:05 幾時講到equivalent martingale measure
:^(
宇智波月巴 2018-10-21 16:32:09 就快
:^(

講到Feynman Kac其實就係risk neutral measure
詩人松島安 2018-10-21 18:14:29 DSP 仲難過 quant fin, 我覺得。
穿越牛熊 2018-10-21 19:05:20 點樣收皮法
:^(

我都係做呢行 都仲係好需要人才
:^(