Informative Contagion Dynamics in a Multilayer Network Model of Financial Markets
暂无分享,去创建一个
Alessandro Pluchino | Andrea Rapisarda | Alessio Emanuele Biondo | A. Pluchino | Andrea Rapisarda | A. E. Biondo
[1] F. Abergel,et al. Econophysics review: I. Empirical facts , 2011 .
[2] Adrian Pagan,et al. The econometrics of financial markets , 1996 .
[3] Virgil D. Gligor,et al. Analysis of complex contagions in random multiplex networks , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Friedrich A. von Hayek,et al. The Pretence of Knowledge , 1975 .
[5] S. Bikhchandani,et al. You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .
[6] Carl Chiarella,et al. A simulation analysis of the microstructure of double auction markets , 2002 .
[7] Massimiliano Zanin,et al. Modeling the multi-layer nature of the European Air Transport Network: Resilience and passengers re-scheduling under random failures , 2012, ArXiv.
[8] L. Glosten. Is the Electronic Open Limit Order Book Inevitable , 1994 .
[9] H. Simon,et al. Models Of Man : Social And Rational , 1957 .
[10] Microstructure des marchès financiers : institutions modéles et tests empiriques , 1997 .
[11] Rosario N. Mantegna,et al. Book Review: An Introduction to Econophysics, Correlations, and Complexity in Finance, N. Rosario, H. Mantegna, and H. E. Stanley, Cambridge University Press, Cambridge, 2000. , 2000 .
[12] B. Mandelbrot. The Variation of Certain Speculative Prices , 1963 .
[13] Axel Leijonhufvud,et al. Beyond microfoundations: Towards a not-too-rational macroeconomics , 1993 .
[14] H. Simon,et al. Models of Man. , 1957 .
[15] T. Lux. Herd Behaviour, Bubbles and Crashes , 1995 .
[16] A. Pluchino,et al. Micro and macro benefits of random investments in financial markets , 2014, 1405.5805.
[17] Albert Solé-Ribalta,et al. Navigability of interconnected networks under random failures , 2013, Proceedings of the National Academy of Sciences.
[18] T. Lux. The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions , 1998 .
[19] Katharina Anna Zweig,et al. One-mode Projection of Multiplex Bipartite Graphs , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
[20] Per Bak,et al. How Nature Works , 1996 .
[21] Maureen O'Hara,et al. Market Microstructure Theory , 1995 .
[22] E. Fama. EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .
[23] Dirk Helbing,et al. Social Self-Organization , 2012 .
[24] Jung Yeol Kim,et al. Correlated multiplexity and connectivity of multiplex random networks , 2011, 1111.0107.
[25] Alexei Vazquez,et al. Spreading dynamics on heterogeneous populations: multitype network approach. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[26] Rajiv Sethi,et al. Cautious trend-seeking and complex asset price dynamics , 1998 .
[27] G. Bianconi. Statistical mechanics of multiplex networks: entropy and overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] R. Mantegna,et al. An Introduction to Econophysics: Contents , 1999 .
[29] Thomas J. Sargent,et al. Rational expectations and the theory of economic policy , 1976 .
[30] K-I Goh,et al. Multiplexity-facilitated cascades in networks. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.
[31] William A. Brock,et al. Models of complexity in economics and finance , 1997 .
[32] Marc Barthelemy,et al. Growing multiplex networks , 2013, Physical review letters.
[33] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[34] George A. Akerlof,et al. Animal spirits : how human psychology drives the economy, and why it matters for global capitalism : with a new preface by the authors , 2010 .
[35] A. Kyle. Continuous Auctions and Insider Trading , 1985 .
[36] M. Bartolozzi,et al. Self-Organized Criticality and Stock Market Dynamics: an Empirical Study , 2005 .
[37] K-I Goh,et al. Network robustness of multiplex networks with interlayer degree correlations. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[38] William A. Brock,et al. A rational route to randomness , 1997 .
[39] V. Latora,et al. Complex networks: Structure and dynamics , 2006 .
[40] Alessandro Pluchino,et al. Modeling financial markets by self-organized criticality. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[41] Dirk Helbing,et al. Reducing financial avalanches by random investments. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[42] R. Lucas. Expectations and the neutrality of money , 1972 .
[43] Thomas Lux,et al. Time-Variation of Higher Moments in a Financial Market with Heterogeneous Agents: An Analytical Approach , 2008 .
[44] M. Marchesi,et al. Scaling and criticality in a stochastic multi-agent model of a financial market , 1999, Nature.
[45] Ginestra Bianconi,et al. Percolation in multiplex networks with overlap. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[46] Carl Chiarella,et al. The dynamics of speculative behaviour , 1992, Ann. Oper. Res..
[47] Joel Hasbrouck,et al. Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading , 2007 .
[48] J. Schumpeter. How does one study social science? , 2003, Erlìhìvsʹkij žurnal.
[49] B. LeBaron. Agent-based Computational Finance , 2006 .
[50] A. Tversky,et al. Judgment under Uncertainty: Heuristics and Biases , 1974, Science.
[51] Jukka-Pekka Onnela,et al. Community Structure in Time-Dependent, Multiscale, and Multiplex Networks , 2009, Science.
[52] Mauro Gallegati,et al. Macroeconomics from the Bottom-up , 2011 .
[53] Vito Latora,et al. Structural measures for multiplex networks. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[54] R. Thaler,et al. Chapter 18 A survey of behavioral finance , 2003 .
[55] Vygintas Gontis,et al. Three-state herding model of the financial markets , 2012, 1210.1838.
[56] Z. Wang,et al. The structure and dynamics of multilayer networks , 2014, Physics Reports.
[57] Richard H. Day,et al. Bulls, bears and market sheep , 1990 .
[58] Dirk Helbing,et al. Are Random Trading Strategies More Successful than Technical Ones? , 2013, PloS one.
[59] A. Tversky,et al. Prospect theory: analysis of decision under risk , 1979 .
[60] Carl Chiarella,et al. Asset price and wealth dynamics under heterogeneous expectations , 2001 .
[61] Cars H. Hommes,et al. Financial markets as nonlinear adaptive evolutionary systems , 2001 .
[62] W. Brock,et al. Heterogeneous beliefs and routes to chaos in a simple asset pricing model , 1998 .
[63] A. Arenas,et al. Mathematical Formulation of Multilayer Networks , 2013, 1307.4977.
[64] A. Tversky,et al. Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .
[65] Christensen,et al. Self-organized criticality in a continuous, nonconservative cellular automaton modeling earthquakes. , 1992, Physical review letters.
[66] Makoto Nirei. Self-organized criticality in a herd behavior model of financial markets , 2008 .
[67] Alessandro Pluchino,et al. The Beneficial Role of Random Strategies in Social and Financial Systems , 2012, Journal of Statistical Physics.
[68] K.-I. Goh,et al. Layer-crossing overhead and information spreading in multiplex social networks , 2013, ArXiv.
[69] Per Bak,et al. How Nature Works: The Science of Self‐Organized Criticality , 1997 .