The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Dynamics of market correlations: Taxonomy and portfolio analysis
Open accessAbstract
The time dependence of the recently introduced minimum spanning tree description of correlations between stocks, called the "asset tree" has been studied in order to reflect the financial market taxonomy. The nodes of the tree are identified with stocks and the distance between them is a unique function of the corresponding element of the correlation matrix. By using the concept of a central vertex, chosen as the most strongly connected node of the tree, an important characteristic is defined by the mean occupation layer. During crashes, due to the strong global correlation in the market, the tree shrinks topologically, and this is shown by a low value of the mean occupation layer. The tree seems to have a scale-free structure where the scaling exponent of the degree distribution is different for "business as usual" and "crash" periods. The basic structure of the tree topology is very robust with respect to time. We also point out that the diversification aspect of portfolio optimization results in the fact that the assets of the classic Markowitz portfolio are always located on the outer leaves of the tree. Technical aspects such as the window size dependence of the investigated quantities are also discussed.
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Cites
Statistical mechanics of complex networks
Albert, R., & Barabási, A.-L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.47 · Cited by 20,471
Dorogovtsev, S. N., & Mendes, J. F. F. (2002) · Advances in Physics · doi:10.1080/00018730110112519 · Cited by 3,171
The Economy as an Evolving Complex System II
Arthur, W. B. (2018) · CRC Press eBooks · doi:10.1201/9780429496639 · Cited by 2,313
Hierarchical structure in financial markets
Mantegna, R. N. (1999) · The European Physical Journal B · doi:10.1007/s100510050929 · Cited by 2,069
Noise Dressing of Financial Correlation Matrices
Laloux, L., Cizeau, P., Bouchaud, J.-P., & Potters, M. (1999) · Physical Review Letters · doi:10.1103/physrevlett.83.1467 · Cited by 1,241
Universal and Nonuniversal Properties of Cross Correlations in Financial Time Series
Plerou, V., Gopikrishnan, P., Rosenow, B., Nunes Amaral, L. A., & Stanley, H. E. (1999) · Physical Review Letters · doi:10.1103/physrevlett.83.1471 · Cited by 1,017
Dynamic asset trees and portfolio analysis
Onnela, J.-P., Chakraborti, A., Kaski, K., & Kertiész, J. (2002) · The European Physical Journal B - Condensed Matter · doi:10.1140/epjb/e2002-00380-9 · Cited by 193
Self-citationRational decisions, random matrices and spin glasses
Galluccio, S., Bouchaud, J., & Potters, M. (1998) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(98)00332-x · Cited by 109
Weighted Scale-Free Network in Financial Correlations
Kim, H., Lee, Y., Kahng, B., & Kim, I.-M. (2002) · Journal of the Physical Society of Japan · doi:10.1143/jpsj.71.2133 · Cited by 102
Shortest paths and load scaling in scale-free trees
Szabó, G., Alava, M. J., & Kertész, J. (2002) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.66.026101 · Cited by 90
Self-citation
Cited by
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
Uncovering the overlapping community structure of complex networks in nature and society
Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005) · Nature · doi:10.1038/nature03607 · Cited by 5,373
Synchronization in complex networks
Arenas, A., Díaz-Guilera, A., Kurths, J., Moreno, Y., & Zhou, C. (2008) · Physics Reports · doi:10.1016/j.physrep.2008.09.002 · Cited by 3,713
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Metadata
- Authors
- Onnela, J.-P., Chakraborti, A., Kaski, K., Kertész, J., & Kanto, A.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2003-11-13
- Volume
- 68
- Issue
- 5
- Pages
- 056110-056110
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2123199877
- Cited by
- 767
- References
- 10
- FWCI
- 40.56
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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