Dependency Relations among International Stock Market Indices
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Sandoval, 2014, Structure of a Global Network of Financial Companies based on Transfer Entropy, Entropy, 16, 4443, 10.3390/e16084443
Sandoval, 2012, Correlation of financial markets in times of crisis, Phys. A, 391, 187, 10.1016/j.physa.2011.07.023
Sandoval, 2014, To lag or not to lag? How to compare indices of stock markets that operate at different times, Phys. A, 403, 227, 10.1016/j.physa.2014.02.039
Kenett, 2010, Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market, PLoS ONE, 5, e15032, 10.1371/journal.pone.0015032
Schreiber, 2000, Measuring information transfer, Phys. Rev. Lett., 85, 461, 10.1103/PhysRevLett.85.461
Granger, 1969, Investigating Causal Relations by Econometric Models and Cross-spectral Methods, Econometrica, 37, 424, 10.2307/1912791
Barnett, 2009, Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables, Phys. Rev. Lett., 103, 238701, 10.1103/PhysRevLett.103.238701
Marschinski, 2002, Analysing the information flow between financial time series-an improved estimator for Transfer Entropy, Eur. Phys. J. B, 30, 275, 10.1140/epjb/e2002-00379-2
Baek, S.K., Jung, W.-S., Kwon, O., and Moon, H.-T. Transfer Entropy Analysis of the Stock Market. Available online: http://arxiv.org/abs/physics/0509014.
Kwon, 2008, Information flow between composite stock index and individual stocks, Phys. A, 387, 2851, 10.1016/j.physa.2008.01.007
Kwon, 2008, Information flow between stock indices, Eur. Phys. Lett., 82, 68003, 10.1209/0295-5075/82/68003
Reddy, 2008, Interaction Between Forex and Stock Markets in India: An Entropy Approach, VIKALPA, 33, 27, 10.1177/0256090920080403
Jizba, 2012, Renyi’s information transfer between financial time series, Phys. A, 391, 2971, 10.1016/j.physa.2011.12.064
Peter, F.J., Dimpfl, T., and Huergo, L. Using Transfer Entropy to measure information flows from and to the CDS market. Available online: http://ssrn.com/abstract=1683948 or http://dx.doi.org/10.2139/ssrn.1683948.
Dimpfl, 2012, Using Transfer Entropy to measure information flows between financial markets, Stud. Nonlinear Dyn. Econ., 17, 85
Kim, 2013, Entropy-based analysis and bioinformatics-inspired integration of global economic information transfer, PLoS ONE, 8, e51986, 10.1371/journal.pone.0051986
Li, 2013, Risk contagion in Chinese banking industry: A Transfer Entropy-based analysis, Entropy, 15, 5549, 10.3390/e15125549
Dimpfl, 2014, The impact of the financial crisis on transatlantic information flows: An intraday analysis, J. Int. Financ. Mark. Inst. Money, 31, 1, 10.1016/j.intfin.2014.03.004
Sobaci, 2014, Effective Transfer Entropy Approach To Information Flow Between Exchange Rates And Stock Markets, Chaos Solitons Fractals, 68, 180, 10.1016/j.chaos.2014.08.007
Shapira, 2009, The index cohesive effect on stock market correlations, Eur. Phys. J. B-Condens. Matter Complex Syst., 72, 657, 10.1140/epjb/e2009-00384-y
Kenett, 2012, Correlations and Dependencies in the global financial village, Int. J. Mod. Phys. Conf. Ser., 16, 13, 10.1142/S201019451200774X
Kenett, 2012, Dependency network and node influence: Application to the study of financial markets, Int. J. Bifurc. Chaos, 22, 1250181, 10.1142/S0218127412501817
Madi, 2011, Analyses of antigen dependency networks unveil immune system reorganization between birth and adulthood, Chaos Interdiscip. J. Nonlinear Sci., 21, 016109, 10.1063/1.3543800
Kenett, 2011, Global and local features of semantic networks: Evidence from the Hebrew mental lexicon, PLoS ONE, 6, e23912, 10.1371/journal.pone.0023912
Dickey, 1979, Distribution of the Estimators for Autoregressive Time Series with a Unit Root, J. Am. Stat. Assoc., 74, 427
Phillips, 1998, Testing for a Unit Root in Time Series Regression, Biometrika, 75, 335, 10.1093/biomet/75.2.335
Kwiatkowski, 1992, Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root, J. Econ., 54, 159, 10.1016/0304-4076(92)90104-Y
Lo, 1988, Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test, Rev. Financ. Stud., 1, 41, 10.1093/rfs/1.1.41
Lo, 1989, The Size and Power of the Variance Ratio Test, J. Econ., 40, 203, 10.1016/0304-4076(89)90083-3
Shannon, 2001, A mathematical theory of communication, ACM SIGMOBILE Mob. Comput. Commun. Rev., 5, 3, 10.1145/584091.584093
Wibral, 2013, Measuring Information-Transfer Delays, PLoS ONE, 8, e55809+, 10.1371/journal.pone.0055809
Lizier, 2014, JIDT: An information-theoretic toolkit for studying the dynamics of complex systems, Front. Robot. AI, 1, 11, 10.3389/frobt.2014.00011
Sandoval, 2013, Cluster formation and evolution in networks of financial market indices, Algorithm. Financ., 2, 3, 10.3233/AF-13015
Borg, I., and Groenen, P. (2005). Modern Multidimensional Scaling: Theory and Applications, Springer. [2nd ed.].
Mantegna, 1999, Hierarchical structure in financial markets, Eur. Phys. J. B, 11, 193, 10.1007/s100510050929
Flavin, 2002, Explaining stock market correlation: A gravity model approach, Manch. Sch., 70, 87, 10.1111/1467-9957.70.s1.5
Bonanno, 2004, Networks of equities in financial markets, Eur. Phys. J. B, 38, 363, 10.1140/epjb/e2004-00129-6
Goo, Y.W., Lian, T.W., Ong, W.G., Choi, W.T., and Cheong, S.A. Financial atoms and molecules. Available online: http://arxiv.org/abs/0903.2099.
Coelho, 2007, The evolution of interdependence in world equity markets-evidence from minimum spanning trees, Phys. A, 376, 455, 10.1016/j.physa.2006.10.045
Eom, 2009, Topological properties of stock networks based on minimal spanning tree and random matrix theory in financial time series, Phys. A, 388, 900, 10.1016/j.physa.2008.12.006
2009, Network structure of cross-correlations among the world market indices, Phys. A, 388, 3551, 10.1016/j.physa.2009.04.028
Song, 2011, Evolution of worldwide stock markets, correlation structure and correlation based graphs, Phys. Rev. E, 84, 026108, 10.1103/PhysRevE.84.026108
Newman, M.E.J. (2010). Networks, and Introduction, Oxford University Press.
Mantegna, R.N., and Stanley, H.E. (2005). Introduction to Econophysics: Correlations and Complexity in Finance, Cambridge University Press.