Transcript
Page 1: 2012 금융수학 겨울학교 - FM 210 Mhz

February, 3 2012

FM 210 Mhz

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과제결과발표2012.02.03.

금융수학 겨울학교

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Contents

1 Option (1) Implicit method

(2) Stability by Von Neumann analysis

2. Network (1) Asset MST

(2) 3D simulation

3. Creative project (1) Paper introduction

(2) Future research

금융수학 겨울학교

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PROF ILE

조이름

주소

창립 년도

직원 수

UNIST 테경관 210 호

2012. 2. 2.

총 4 명 | 수학 자갈 2 명 | 재무 천재 1 명 | 막내 ^.^

Staff

남자 1 호응용수학전공

여자 1 호응용수학전공

FM 210 (Finance & Math meet at Technomanagement building 210 class )

여자 2 호재무관리전공

여자 3 호테크노경영학부

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(1)American

ca l l op t i on -

(2)Stability

(3)American

optionsVon Neumann analysis Operator splitting method

Mathmatical approach to op-tion

implicit method

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(1) Discretize the Black-Scholes equation on n+1 time level using Taylor series expansion. Approximate the first-order spatial derivative at m-th grid point using m-1 and m grid points. Keyword : Taylor expansion

Taylor expansion

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(1) Discretize the Black-Scholes equation on n+1 time level using Taylor series expansion. Approximate the first-order spatial derivative at m-th grid point using m-1 and m grid points. Keyword : Discretize

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EU call option

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Mathmatical approach to op-tion

(1)Ameri -can ca l l op t ion -

(2)Stability

(3)American

optionsVon Neumann analysis Operator splitting method implicit method

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(2) Check stability in the sense the Von Neumann analysis.

Ke y w o rd : subst i tu t ing i n ex p l i c i t m e t h o d

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(2) Check stability in the sense the Von Neumann analysis.

Ke y w o rd : s tab i l i t y i n ex p l i c i t m e t h o d

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(2) Check stability in the sense the Von Neumann analysis.

Ke y w o rd : subst i tu t ing i n i m p l i c i t m e t h o d

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(2) Check stability in the sense the Von Neumann analysis.

Ke y w o rd : expans ion

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(2) Check stability in the sense the Von Neumann analysis.

Ke y w o rd : s tab i l i t y i n i m p l i c i t m e t h o d

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Mathmatical approach to op-tion

(1)Ameri -can ca l l op t ion -

(2)Stability

(3)American op-

tions

Von Neumann analysis Operator splitting method implicit method

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Asset t ree -

3D simula-tion

Paper in-troduction

Network approach to Finance

Net-work

with mathlab code Future research with mathlab code

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Asset t ree -

3D simula-tion

Paper intro-duction

Network approach to Finance

Net-work

with mathlab code Future research with mathlab code

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Int roduc t i on o f paper

1. The clustering of companies using the correlation matrix of asset returns,

2. Transforming correlations into distances,

3. Selecting a subset with the minimum spanning tree(MST) criterion.

-A s s e t Tre e s a n d A s s e t G r a p h s i n Fi n a n c i a l M a r ke t

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Ma in theme o f paper

-A s s e t Tre e s a n d A s s e t G r a p h s i n Fi n a n c i a l M a r ke t

Asset Tree Asset Graph

Construction

Differences

Determining the minimum span-ning tree(MST) of the distances

Extracting the N(N-1)/2 distinct distance ele-ments from the upper triangular part of the

Order : fixed No cycles

Order : unfixed Cycles

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Conc lus ion o f paper

-A s s e t Tre e s a n d A s s e t G r a p h s i n Fi n a n c i a l M a r ke t

In general, the tree and graph behave very similarly.

Second region – a straight line on the log-log plot G should decay more faster than T.

First region - in early timeT faster than G(∵G shows exponential de-cay)

G are far more optimal (shorter) than the T.

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Log log g raph

-B a s e d o n Kosp i da ta

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Network approach to Finance

Asset t ree -3D simula-

tionPaper in-

troduction

Net-work

with mathlab code Future research with mathlab code

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Asset MST

Return = importdata('US_200001032008_STOCKReturn.mat'); Corr = corrcoef(Return); Dist = sqrt(2*(1-Corr)); Dist = triu(Dist) + triu(Dist)'; SDist = sparse(Dist); [out1 out2 out3 ] = mst(SDist); MST = [out1 out2 out3 ]; MST_Geometric_SUB02_Application(MST,'a');

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Asset MST

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Asset MST

과독점에 대한정부 규제 방법 ?

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Network approach to Finance

Asset t ree -

3D simulationPaper in-troduction

Net-work

with mathlab code Future research with mathlab code

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3D simulation

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3D simulation

-1

-0.5

0

0.5

1 2002

2003

2004

2005

2006

2007

0

0.1

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-1012002 2002.5 2003 2003.5 2004 2004.5 2005 2005.5 2006 2006.5

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

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3D simulation

Clear all; close all; clf;

SAME CODE

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Futu re Research

-A s s e t Tre e s a n d A s s e t G r a p h s i n Fi n a n c i a l M a r ke t

1. 다른 주식과 많은 연결개수를 갖는 주식의 시장지수에 따른 공통속성의 정도와 개별속성의 정도 차이 .

2. 주식 간의 연결개수에 영향을 미치는 요인에 대한 분석 ( 연구 )

3. 주식들과의 연결개수에 따라 2 가지 이상의 집단으로 구분 후 , 평균비교 T 검정과 ANOVA 를 이용하여 집단간 통계적 유의한 차이를 보이는 특징에 대해 분석한다 .

4. 기업의 연결개수에 따른 수익성을 예측하기 위해서 회귀분석을 실시하여 , 베타 값에 따라 큰 영향을 미칠 수 있는지에 대한 분석 .

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감사합니다


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