메뉴 건너뛰기




Volumn 72, Issue 4, 2009, Pages 657-669

The Index cohesive effect on stock market correlations

Author keywords

[No Author keywords available]

Indexed keywords

ADHESIVE EFFECT; COHESIVE FORCE; CORRELATION MATRIX; DATA SETS; EMPIRICAL EXAMINATION; FINANCIAL SYSTEM; MATURE MARKETS; NEW YORK STOCK EXCHANGE; PRINCIPAL COMPONENT SPACE; STOCK MARKET; STOCK RETURNS; STRONG CORRELATION; TEL AVIV STOCK EXCHANGES;

EID: 72449137579     PISSN: 14346028     EISSN: 14346036     Source Type: Journal    
DOI: 10.1140/epjb/e2009-00384-y     Document Type: Article
Times cited : (83)

References (41)
  • 2
    • 12844274426 scopus 로고    scopus 로고
    • Detecting chaos from a time series
    • DOI 10.1088/0143-0807/26/1/021
    • S. Kodba M. Perc M. Marhl 2005 Eur. J. Phys. 26 205 10.1088/0143-0807/26/ 1/021 (Pubitemid 40168320)
    • (2005) European Journal of Physics , vol.26 , Issue.1 , pp. 205-215
    • Kodba, S.1    Perc, M.2    Marhl, M.3
  • 3
    • 0000917933 scopus 로고    scopus 로고
    • 10.1103/PhysRevE.61.5981 1746339 2000PhRvE.61.5981N
    • J.D. Noh 2000 Phys. Rev. E 61 5981 10.1103/PhysRevE.61.5981 1746339 2000PhRvE..61.5981N
    • (2000) Phys. Rev. E , vol.61 , pp. 5981
    • Noh, J.D.1
  • 4
    • 42749105978 scopus 로고    scopus 로고
    • 10.1103/PhysRevE.70.026110 2004PhRvE.70b6110U
    • A. Utsugi K. Ino M. Oshikawa 2004 Phys. Rev. E 70 026110 10.1103/PhysRevE.70.026110 2004PhRvE..70b6110U
    • (2004) Phys. Rev. E , vol.70 , pp. 026110
    • Utsugi, A.1    Ino, K.2    Oshikawa, M.3
  • 5
    • 0000119298 scopus 로고    scopus 로고
    • 10.1007/s100510050929 1999EPJB.11.193M
    • R.N. Mantegna 1999 Eur. Phys. J. B 11 193 10.1007/s100510050929 1999EPJB⋯11..193M
    • (1999) Eur. Phys. J. B , vol.11 , pp. 193
    • Mantegna, R.N.1
  • 7
    • 27744470275 scopus 로고    scopus 로고
    • 10.1016/j.physa.2005.06.081 2006PhyA.361.263J
    • W.S. Jung S. Chae J.S. Yang H.T. Moon 2006 Physica A 361 263 10.1016/j.physa.2005.06.081 2006PhyA..361..263J
    • (2006) Physica A , vol.361 , pp. 263
    • Jung, W.S.1    Chae, S.2    Yang, J.S.3    Moon, H.T.4
  • 12
    • 4544363306 scopus 로고    scopus 로고
    • 10.1016/j.physa.2004.05.079 2004PhyA.343.623P
    • S. Pafka I. Kondor 2004 Physica A 343 623 10.1016/j.physa.2004.05.079 2004PhyA..343..623P
    • (2004) Physica A , vol.343 , pp. 623
    • Pafka, S.1    Kondor, I.2
  • 13
  • 17
    • 55249087001 scopus 로고    scopus 로고
    • 10.1038/4551181a 2008Natur.455.1181B
    • J.P. Bouchaud 2008 Nature 455 1181 10.1038/4551181a 2008Natur.455.1181B
    • (2008) Nature , vol.455 , pp. 1181
    • Bouchaud, J.P.1
  • 18
    • 14844347733 scopus 로고    scopus 로고
    • Functional holography of complex networks activity - From cultures to the human brain
    • DOI 10.1002/cplx.20065
    • I. Baruchi V.L. Towle E. Ben-Jacob 2005 Complexity 10 38 10.1002/cplx.20065 2281035 (Pubitemid 40350854)
    • (2005) Complexity , vol.10 , Issue.3 , pp. 38-51
    • Baruchi, I.1    Towle, V.L.2    Ben-Jacob, E.3
  • 19
    • 4744354364 scopus 로고    scopus 로고
    • Functional holography of recorded neuronal networks activity
    • DOI 10.1385/NI:2:3:333
    • I. Baruchi E. Ben-Jacob 2004 Neuroinformatics 2 333 10.1385/NI:2:3:333 (Pubitemid 43291785)
    • (2004) Neuroinformatics , vol.2 , Issue.3 , pp. 333-351
    • Baruchi, I.1    Ben-Jacob, E.2
  • 23
    • 72449185304 scopus 로고
    • Holt International, ISBN 0030894220, Sect.
    • Y. Chou, Statistical Analysis (Holt International, ISBN 0030894220, Sect. 17.9, 1975)
    • (1975) Statistical Analysis , vol.17 , Issue.9
    • Chou, Y.1
  • 25
    • 35549006412 scopus 로고
    • 10.1063/1.1703773 143556 1962JMP.3.140D
    • F.J. Dyson 1962 J. Math. Phys. 3 140 10.1063/1.1703773 143556 1962JMP⋯..3..140D
    • (1962) J. Math. Phys. , vol.3 , pp. 140
    • Dyson, F.J.1
  • 27
    • 72449158069 scopus 로고    scopus 로고
    • www.finance.yahoo.com
    • www.finance.yahoo.com
  • 28
    • 72449168046 scopus 로고    scopus 로고
    • www.tase.co.il
    • www.tase.co.il
  • 29
    • 72449164579 scopus 로고    scopus 로고
    • note
    • Looking at the TA dataset more specifically, combining knowledge from other sources, we encounter a problem processing the data. For example, we observe a very strong correlation between two companies IDB Holding Corporation?, and ?Discount Investment Corporation? (IDC). Using public records about these two companies, we find that IDB owns 74.06% of the shares of IDC, and that the market value of these two companies is roughly the same (9 and 10 billions NIS, respectively). Due to the fact that the trade in the market is continuous, the traders are aware, at each moment, of the price of both companies and the relationship between them, so they see to it that these two prices match each other at all time. It is important to distinguish between a business similarity, which is the result of similar objectives or areas of interest, and between financial dependencies, which are the result of control and ownership of assets. We expect that if the majority of the assets of one company are the shares of a second company, any change in the second company will be immediately reflected in the first. Thus, we decided to exclude from our TA dataset five holding companies with more than 50% of their assets listed as stocks of a second company. For such companies, the observed high correlation between the two companies is trivial and does not produce any new meaningful information. These holding companies were excluded from our analysis, while the daughter companies were left in the dataset. The whole issue of the correlations between a holding company and its subsidiaries demands further research. Due to technical reasons, this screening of holding companies was not performed for the NYSE data, for the S&P 500 and DJIA datasets.
  • 31
    • 34547666722 scopus 로고    scopus 로고
    • Biological networks: Comparison, conservation, and evolution via relative description length
    • DOI 10.1089/cmb.2007.R018
    • B. Chor T. Tuller 2007 J. Computat. Biology 14 817 10.1089/cmb.2007.R018 2347294 (Pubitemid 47221819)
    • (2007) Journal of Computational Biology , vol.14 , Issue.6 , pp. 817-838
    • Chor, B.1    Tuller, T.2
  • 33
    • 36949015566 scopus 로고    scopus 로고
    • Unsupervised feature selection under perturbations: Meeting the challenges of biological data
    • DOI 10.1093/bioinformatics/btm528
    • R. Varshavsky A. Gottlieb D. Horn M. Linial 2007 Bioinformatics 23 3343 10.1093/bioinformatics/btm528 (Pubitemid 350238887)
    • (2007) Bioinformatics , vol.23 , Issue.24 , pp. 3343-3349
    • Varshavsky, R.1    Gottlieb, A.2    Horn, D.3    Linial, M.4
  • 34
    • 33747883187 scopus 로고    scopus 로고
    • Novel unsupervised feature filtering of biological data
    • DOI 10.1093/bioinformatics/btl214
    • R. Varshavsky A. Gottlieb M. Linial D. Horn 2006 Bioinformatics 22 e507 10.1093/bioinformatics/btl214 (Pubitemid 44288322)
    • (2006) Bioinformatics , vol.22 , Issue.14
    • Varshavsky, R.1    Gottlieb, A.2    Linial, M.3    Horn, D.4
  • 36
    • 40249118303 scopus 로고    scopus 로고
    • 10.1016/j.physa.2008.01.007 2008PhyA.387.2851K
    • O. Kwon J.S. Yang 2008 Physica A 387 2851 10.1016/j.physa.2008.01.007 2008PhyA..387.2851K
    • (2008) Physica A , vol.387 , pp. 2851
    • Kwon, O.1    Yang, J.S.2
  • 37
    • 0000659771 scopus 로고    scopus 로고
    • 10.1007/s100510051162 2000EPJB.15.603L
    • F. Lilo R.N. Mangegna 2000 Eur. Phys. J. B 15 603 10.1007/s100510051162 2000EPJB⋯15..603L
    • (2000) Eur. Phys. J. B , vol.15 , pp. 603
    • Lilo, F.1    Mangegna, R.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.