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Exchangeable models of financial correlations matrices. Bayesian nonparametric models and network derived measures of financial assets Cover

Exchangeable models of financial correlations matrices. Bayesian nonparametric models and network derived measures of financial assets

Open Access
|Feb 2020

References

  1. Aldous, D. J. (1981). Representations for partially exchangeable arrays of random variables. Journal of Multivariate Analysis, 11(4), 581-598.10.1016/0047-259X(81)90099-3
  2. Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues.10.1080/713665670
  3. De Finetti, B. (2017). Theory of probability: A critical introductory treatment (Vol. 6). John Wiley & Sons.Aldag, R.J., & Stearns, T.M. (1991). Management (2nd ed.). Cincinnati, OH: South-Western Publishing.
  4. Fiedor, P. (2014). Networks in financial markets based on the mutual information rate. Physical Review E, 89(5), 052801.10.1103/PhysRevE.89.052801
  5. Hoover, D. N. (1979). Relations on probability spaces and arrays of random variables. Preprint, Institute for Advanced Study, Princeton, NJ, 2.’
  6. Hoffman, M. D., & Gelman, A. (2014). The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research, 15(1), 1593-1623.
  7. Hornik, K., Stinchcombe, M., & White, H. (1989). Multilayer feedforward networks are universal approximators. Neural networks, 2(5), 359-366.10.1016/0893-6080(89)90020-8
  8. Kenett, D. Y., Huang, X., Vodenska, I., Havlin, S., & Stanley, H. E. (2015). Partial correlation analysis: Applications for financial markets. Quantitative Finance, 15(4), 569-578.10.1080/14697688.2014.946660
  9. Kumar, S., & Deo, N. (2012). Correlation and network analysis of global financial indices. Physical Review E, 86(2), 026101.10.1103/PhysRevE.86.02610123005819
  10. Laloux, L., Cizeau, P., Bouchaud, J. P., & Potters, M. (1999). Noise dressing of financial correlation matrices. Physical review letters, 83(7), 1467.10.1103/PhysRevLett.83.1467
  11. Ledoux, M. (2001). The concentration of measure phenomenon (No. 89). American Mathematical Soc..
  12. Lloyd, J., Orbanz, P., Ghahramani, Z., & Roy, D. M. (2012). Random function priors for exchangeable arrays with applications to graphs and relational data. In Advances in Neural Information Processing Systems (pp. 998-1006).
  13. Mantegna, R. N. (1999). Hierarchical structure in financial markets. The European Physical Journal B-Condensed Matter and Complex Systems, 11(1), 193-197.10.1007/s100510050929
  14. Miller, K., Jordan, M. I., & Griffiths, T. L. (2009). Nonparametric latent feature models for link prediction. In Advances in neural information processing systems (pp. 1276-1284).
  15. Namaki, A., Shirazi, A. H., Raei, R., & Jafari, G. R. (2011). Network analysis of a financial market based on genuine correlation and threshold method. Physica A: Statistical Mechanics and its Applications, 390(21-22), 3835-3841.10.1016/j.physa.2011.06.033
  16. Neal, R. M. (2012). Bayesian learning for neural networks (Vol. 118). Springer Science & Business Media.
  17. Newman, M. (2010). Networks: an introduction. Oxford university press.
  18. Onnela, J. P., Kaski, K., & Kertész, J. (2004). Clustering and information in correlation based financial networks. The European Physical Journal B, 38(2), 353-362.10.1140/epjb/e2004-00128-7
  19. Onnela, Jukka-Pekka, Anirban Chakraborti, Kimmo Kaski, Janos Kertesz, and Antti Kanto. “Asset trees and asset graphs in financial markets.” Physica Scripta 2003, no. T106 (2003): 48.10.1238/Physica.Topical.106a00048
  20. Orbanz, P., & Roy, D. M. (2015). Bayesian models of graphs, arrays and other exchangeable random structures. IEEE transactions on pattern analysis and machine intelligence, 37(2), 437-461.10.1109/TPAMI.2014.2334607
  21. Plerou, V., Gopikrishnan, P., Rosenow, B., Amaral, L. A. N., & Stanley, H. E. (1999). Universal and nonuniversal properties of cross correlations in financial time series. Physical review letters, 83(7), 1471.10.1103/PhysRevLett.83.1471
  22. Peiro, A. (1999). Skewness in financial returns. Journal of Banking & Finance, 23(6), 847-862.10.1016/S0378-4266(98)00119-8
  23. Sengupta, A. M., & Mitra, P. P. (1999). Distributions of singular values for some random matrices. Physical Review E, 60(3), 3389.10.1103/PhysRevE.60.3389
  24. Tumminello, M., Lillo, F., & Mantegna, R. N. (2010). Correlation, hierarchies, and networks in financial markets. Journal of Economic Behavior & Organization, 75(1), 40-58.10.1016/j.jebo.2010.01.004
  25. Wolfe, Patrick J., and Sofia C. Olhede. “Nonparametric graphon estimation.” arXiv preprint arXiv:1309.5936 (2013)
Language: English
Page range: 374 - 383
Published on: Feb 13, 2020
Published by: Grupul de Econometrie Aplicata
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Sorin Opincariu, Stefan Ionescu, published by Grupul de Econometrie Aplicata
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.