The roles of mean residence time on herd behavior in a financial market
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Nian-Sheng Tang | Jiang-Cheng Li | Yun-Xian Li | Niansheng Tang | D. Mei | Yun-Xian Li | Jiang-Cheng Li | Dong-Cheng Mei
[1] J. Sear,et al. Real time monitoring of propofol blood concentration in ponies anaesthetized with propofol and ketamine. , 2013, Journal of veterinary pharmacology and therapeutics.
[2] J. Hull. Options, futures & other derivatives , 2003 .
[3] P. Cizeau,et al. Statistical properties of the volatility of price fluctuations. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[4] Mantegna,et al. Variety and volatility in financial markets , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[5] Yu Cao,et al. Pharmacokinetic study of cinnamaldehyde in rats by GC-MS after oral and intravenous administration. , 2014, Journal of pharmaceutical and biomedical analysis.
[6] 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 .
[7] Lewis Stiller,et al. Computation of the mean residence time of water in the hydration shells of biomolecules , 1993, J. Comput. Chem..
[8] Q. Hua,et al. Mean Residence Time of Soil Organic Carbon in Aggregates Under Contrasting Land Uses Based on Radiocarbon Measurements , 2013, Radiocarbon.
[9] T. Chiang,et al. An empirical analysis of herd behavior in global stock markets , 2010 .
[10] G. Bonanno,et al. Mean escape time in a system with stochastic volatility. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[11] V. Yakovenko,et al. Probability distribution of returns in the Heston model with stochastic volatility , 2002, cond-mat/0203046.
[12] D. Brockmeier,et al. Mean residence time. , 1986, Methods and findings in experimental and clinical pharmacology.
[13] Jeffrey J. McDonnell,et al. On the relationships between catchment scale and streamwater mean residence time , 2003 .
[14] Yi Liu,et al. Buyers’ purchasing time and herd behavior on deal-of-the-day group-buying websites , 2012, Electron. Mark..
[15] Tao Yang,et al. Impact of time delays on stochastic resonance in an ecological system describing vegetation , 2014 .
[16] C. Zeng,et al. Impact of correlated noise in an energy depot model , 2016, Scientific Reports.
[17] M. Cipriani,et al. Estimating a Structural Model of Herd Behavior in Financial Markets , 2010, SSRN Electronic Journal.
[18] Tao Yang,et al. Delay-enhanced stability and stochastic resonance in perception bistability under non-Gaussian noise , 2015 .
[19] D. Mei,et al. The influences of delay time on the stability of a market model with stochastic volatility , 2013 .
[20] Josep Perelló,et al. The Escape Problem Under Stochastic Volatility: The Heston Model , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Victor M. Yakovenko,et al. Exponential distribution of financial returns at mesoscopic time lags: a new stylized fact , 2004 .
[22] Chunhua Zeng,et al. Noise and large time delay: Accelerated catastrophic regime shifts in ecosystems , 2012 .
[23] Bernardo Spagnolo,et al. Volatility Effects on the Escape Time in Financial Market Models , 2008, Int. J. Bifurc. Chaos.
[24] J. Masoliver,et al. First-passage and risk evaluation under stochastic volatility. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] Underlying dynamics of typical fluctuations of an emerging market price index: The Heston model from minutes to months , 2005, physics/0506101.
[26] Jiang-Cheng Li,et al. The risks and returns of stock investment in a financial market , 2013 .
[27] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[28] J. Bouchaud,et al. Herd Behavior and Aggregate Fluctuations in Financial Markets , 1997 .
[29] Giovanni Bonanno,et al. Hitting time distributions in financial markets , 2007 .
[30] P. Cizeau,et al. Volatility distribution in the S&P500 stock index , 1997, cond-mat/9708143.
[31] F. Long,et al. Noises-induced regime shifts and -enhanced stability under a model of lake approaching eutrophication , 2015 .
[32] L. Summers,et al. The Noise Trader Approach to Finance , 1990 .
[33] V. Eguíluz,et al. Transmission of information and herd Behavior: an application to financial markets. , 1999, Physical review letters.
[34] C. Zeng,et al. Noise-enhanced stability and double stochastic resonance of active Brownian motion , 2015 .
[35] H. Eugene Stanley,et al. Inverse Cubic Law for the Probability Distribution of Stock Price Variations , 1998 .
[36] Tao Yang,et al. Delay and noise induced regime shift and enhanced stability in gene expression dynamics , 2014 .
[37] Tao Yang,et al. Stochastic delayed monomer-dimer surface reaction model with various dimer adsorption , 2014 .
[38] Jiang-Cheng Li,et al. Reverse resonance in stock prices of financial system with periodic information. , 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.
[39] Fitting the Heston Stochastic Volatility Model to Chinese Stocks , 2014 .
[40] L. Summers,et al. Noise Trader Risk in Financial Markets , 1990, Journal of Political Economy.
[41] R. Mahnke,et al. Application of Heston model and its solution to German DAX data , 2004 .
[42] Tao Yang,et al. Delays-based protein switches in a stochastic single-gene network , 2015 .
[43] W. Arthur,et al. The Economy as an Evolving Complex System II , 1988 .
[44] Makoto Nirei. Self-organized criticality in a herd behavior model of financial markets , 2008 .
[45] P. Gopikrishnan,et al. Inverse cubic law for the distribution of stock price variations , 1998, cond-mat/9803374.
[46] S. Ross,et al. A theory of the term structure of interest rates'', Econometrica 53, 385-407 , 1985 .
[47] Enhancement of stability in randomly switching potential with metastable state , 2004, cond-mat/0407312.
[48] Ji-Ping Huang,et al. Experimental econophysics: Complexity, self-organization, and emergent properties , 2015 .
[49] R. Gencay,et al. An Introduc-tion to High-Frequency Finance , 2001 .
[50] Rosario N. Mantegna,et al. Probability Distribution of the Residence Times in Periodically Fluctuating Metastable Systems , 1998 .
[51] Zhigang Zheng,et al. Effect of coupling displacement on thermal current of Frenkel-Kontorova lattices , 2014 .
[52] S. Heston. A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options , 1993 .
[53] C. Granger,et al. A long memory property of stock market returns and a new model , 1993 .
[54] Honggang Li,et al. Market dynamics and stock price volatility , 2004 .
[55] Bernardo Spagnolo,et al. Noise-enhanced stability in fluctuating metastable states. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[56] A. Banerjee,et al. A Simple Model of Herd Behavior , 1992 .
[57] D. Hirshleifer,et al. Herd Behaviour and Cascading in Capital Markets: A Review and Synthesis , 2003 .
[58] Victor M. Yakovenko,et al. Comparison between the probability distribution of returns in the Heston model and empirical data for stock indexes , 2003 .
[59] Hirotada Ohashi,et al. Herd behavior in a complex adaptive system , 2011, Proceedings of the National Academy of Sciences.
[60] Giovanni Bonanno,et al. Role of noise in a market model with stochastic volatility , 2006 .
[61] H. Gintis,et al. Price dynamics, financial fragility and aggregate volatility , 2015 .
[62] Giovanni Bonanno,et al. ESCAPE TIMES IN STOCK MARKETS , 2005 .
[63] B. Baaquie,et al. A path integral approach to option pricing with stochastic volatility : Some exact results , 1997, cond-mat/9708178.
[64] Fernando Estrada,et al. Theory of financial risk , 2011 .
[65] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .