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Price correlation 을 이용한 경제 네트워크 구성과 clustering 가능성 Seung-Woo Son Complex System and Statistical Physics Lab.,

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Presentation on theme: "Price correlation 을 이용한 경제 네트워크 구성과 clustering 가능성 Seung-Woo Son Complex System and Statistical Physics Lab.,"— Presentation transcript:

1 Price correlation 을 이용한 경제 네트워크 구성과 clustering 가능성 Seung-Woo Son email: sonswoo@kaist.ac.krsonswoo@kaist.ac.kr Complex System and Statistical Physics Lab., Dept. Physics, KAIST, Taejeon 305-701, Korea 2003. 12. 13. SERI

2 Correlation ?  Price correlation vs. Return correlation  T/N ratio ( T: trading day, N: number of companies ) –random matrix theorem –should be significantly larger than one  Correlation matrix vs. Distance matrix

3 Price correlation 1991 - 2003 ( 468 companies, 3431 trading days )

4 Log return correlation 1991 - 2003 ( 468 companies, 3431 trading days )

5 1980 - 2003 ( 228 companies, 6648 trading days ) Pricelog return

6 Correlation between two correlations 1991 - 2003 ( 468 companies, 3431 trading days )

7 MST - Price correlation 1991 - 2003 ( 468 companies, 3431 trading days )

8 MST - Return correlation 1991 - 2003 ( 468 companies, 3431 trading days )

9 Time moving of return correlation Period -1982~2000 NYSE 105 comp. Black Monday ( 1987 ) Dong-Hee Kim

10 1982~1986, IBM k=24

11 1983~1987, GE k=34

12 1985~1989, GE k=27

13 1986~1990, GE k=25

14 1993~1997, MER k=16

15 1996~2000, GE k=23

16

17 Percolation approach & Girvan-Newman cluster method After sorting C ij in descending order, add a link between i and j following that order. When all nodes make a giant cluster, stop the attachment. It means the links with values C ij > C * (percolation threshold) are valid and connected. 1.Building giant cluster by percolation approach 2.Break into several cluster by Girvan-Newman cluster method 1991 - 2003 ( 468 companies, 3431 trading days )

18 Percolate net (all node connected condition) 468 nodes, 85376 links (78.13% of fully connected) bad case!! - meaningless degree distribution 1991 - 2003 ( 468 companies, 3431 trading days )

19 Hierarchical tree – clustering  average link method – 두 cluster 사이에 평균 거리 순으로 연결  complete link method – 두 cluster 사이에 가장 먼 거리 순으로 …  single link method – 두 cluster 사이에 가장 가까운 거리 순으로 …  single link method 는 MST 방법과 일치

20 average link method Young-Ho Eom 1991 - 2003 ( 468 companies, 3431 trading days )

21 complete link method Young-Ho Eom 1991 - 2003 ( 468 companies, 3431 trading days )

22 single link method Young-Ho Eom 1991 - 2003 ( 468 companies, 3431 trading days )

23

24 Conclusion

25 한국증시 KOSPI

26 Detailed list of used data


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