Financial power laws: Empirical evidence, models, and mechanism

[1]  T. Lux,et al.  Estimation of Sentiment Effects in Financial Markets: A Simulated Method of Moments Approach , 2018 .

[2]  F. Westerhoff,et al.  Why a simple herding model may generate the stylized facts of daily returns: explanation and estimation , 2016 .

[3]  T. Lux,et al.  Bringing an elementary agent-based model to the data: Estimation via GMM and an application to forecasting of asset price volatility* , 2016 .

[4]  Tae-Seok Jang.  Identification of Social Interaction Effects in Financial Data , 2015 .

[5]  Youwei Li,et al.  Testing of a Market Fraction Model and Power-Law Behaviour in the DAX 30 , 2015 .

[6]  Tetsuya Takaishi,et al.  Multiple Time Series Ising Model for Financial Market Simulations , 2015, 1611.08088.

[7]  Girish Thomas,et al.  HERD BEHAVIOUR AND AGGREGATE FLUCTUATIONS IN FINANCIAL MARKETS , 2015 .

[8]  T. Lux,et al.  Forecasting Daily Variations of Stock Index Returns with a Multifractal Model of Realized Volatility , 2014 .

[9]  Thomas Lux,et al.  Multifractal models in finance: Their origin, properties, and applications , 2013 .

[10]  Stefan Palan.  A Review of Bubbles and Crashes in Experimental Asset Markets , 2013 .

[11]  J. Linton,et al.  Examination of the behavior of R&D returns using a power law , 2013 .

[12]  F. Westerhoff,et al.  Structural stochastic volatility in asset pricing dynamics: Estimation and model contest , 2012 .

[13]  Kai Li,et al.  Heterogeneous beliefs and adaptive behaviour in a continuous-time asset price model , 2012 .

[14]  Thomas Lux,et al.  Switching Rates and the asymptotic Behavior of Herding Models , 2011, Adv. Complex Syst..

[15]  T. Lux,et al.  A Markov-switching multifractal approach to forecasting realized volatility , 2011 .

[16]  Thomas Lux,et al.  Forecasting volatility under fractality, regime-switching, long memory and student-t innovations , 2010, Comput. Stat. Data Anal..

[17]  Paolo Santucci de Magistris,et al.  Long Memory and Tail Dependence in Trading Volume and Volatility , 2010 .

[18]  Stability and bifurcation in a simple heterogeneous asset pricing model , 2009 .

[19]  Simone Alfarano,et al.  Network structure and N-dependence in agent-based herding models , 2009 .

[20]  Richard K. Crump,et al.  Nonparametric Tests for Treatment Effect Heterogeneity , 2006, The Review of Economics and Statistics.

[21]  Thomas Lux,et al.  The Markov-Switching Multifractal Model of Asset Returns , 2008 .

[22]  U. Horst,et al.  QUEUING, SOCIAL INTERACTIONS, AND THE MICROSTRUCTURE OF FINANCIAL MARKETS , 2008, Macroeconomic Dynamics.

[23]  H. Shefrin.  A Simple Asset Pricing Model with Heterogeneous Beliefs , 2008 .

[24]  Thomas Lux,et al.  Time-Variation of Higher Moments in a Financial Market with Heterogeneous Agents: An Analytical Approach , 2008 .

[25]  Thomas Lux,et al.  A NOISE TRADER MODEL AS A GENERATOR OF APPARENT FINANCIAL POWER LAWS AND LONG MEMORY , 2007, Macroeconomic Dynamics.

[26]  Sheng-Kai Chang,et al.  A simple asset pricing model with social interactions and heterogeneous beliefs , 2007 .

[27]  E. Curado,et al.  A multi-interacting-agent model for financial markets , 2007 .

[28]  P. V. (Sundar) Balakrishnan,et al.  Power Law and Evolutionary Trends in Stock Markets , 2006 .

[29]  Eckhard Platen,et al.  On the Distributional Characterization of Daily Log‐Returns of a World Stock Index , 2006 .

[30]  T. Lux.  The Markov-Switching Multi-Fractal Model of Asset Returns: Estimation via GMM and Linear Forecasting of Volatility , 2006 .

[31]  Paul De Grauwe,et al.  Exchange rate puzzles: A tale of switching attractors , 2006 .

[32]  V. Plerou,et al.  Institutional Investors and Stock Market Volatility , 2005 .

[33]  Jie Wang,et al.  Evolutionary percolation model of stockmark et with variable agent number , 2005 .

[34]  T. Lux,et al.  Estimation of Agent-Based Models: The Case of an Asymmetric Herding Model , 2005 .

[35]  S. Durlauf.  Complexity and Empirical Economics , 2005 .

[36]  F. Ghoulmié.  Heterogeneity and feedback in an agent-based market model , 2004, cond-mat/0407626.

[37]  Bernd Rosenow,et al.  Large stock price changes: volume or liquidity? , 2004, cond-mat/0401132.

[38]  D. Stauffer.  Introduction to statistical physics outside physics , 2003, cond-mat/0310037.

[39]  P. Gnaciński,et al.  Amplified imitation in percolation model of stock market , 2004 .

[40]  Henrik Amilon.  Estimation of an Adaptive Stock Market Model with Heterogeneous Agents , 2006 .

[41]  Frank Westerhoff,et al.  Speculative markets and the effectiveness of price limits , 2003 .

[42]  F. Lillo,et al.  On the origin of power-law tails in price fluctuations , 2003, cond-mat/0309416.

[43]  T. Lux.  The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting , 2003 .

[44]  V. Plerou,et al.  A theory of power-law distributions in financial market fluctuations , 2003, Nature.

[45]  Thomas Lux,et al.  Genetic learning as an explanation of stylized facts of foreign exchange markets , 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

[46]  Roman Frigg,et al.  Ubiquity. The Science of History ... Or Why The World is Simpler Than We Think , 2002 .

[47]  Christian Upper,et al.  Time Variation in the Tail Behaviour of Bunds Futures Returns , 2002, SSRN Electronic Journal.

[48]  Michele Marchesi,et al.  Self-organization and market crashes , 2002 .

[49]  Masanao Aoki,et al.  Open Models of Share Markets with Two Dominant Types of Participants , 2002 .

[50]  Shu-Heng Chen,et al.  On the emergent properties of artificial stock markets: the efficient market hypothesis and the rational expectations hypothesis , 2002 .

[51]  F. Fernández-Rodríguez,et al.  A model of speculative behaviour with a strange attractor , 2002 .

[52]  Laurent E. Calvet,et al.  Multifractality in Asset Returns: Theory and Evidence , 2002, Review of Economics and Statistics.

[53]  F. Wagner.  Volatility cluster and herding , 2002, cond-mat/0207280.

[54]  S. Bornholdt,et al.  Dynamics of price and trading volume in a spin model of stock markets with heterogeneous agents , 2002, cond-mat/0207253.

[55]  Thomas Lux,et al.  A minimal noise trader model with realistic time series , 2002 .

[56]  Jean-Philippe Bouchaud,et al.  Bubbles, crashes and intermittency in agent based market models , 2002 .

[57]  M. Aoki,et al.  Reconstructing Macroeconomics: Demand Saturation-Creation and Economic Growth , 2002 .

[58]  D. Sornette,et al.  Market Fluctuations: multiplicative and percolation models, size effects and predictions , 1999, cond-mat/9909439.

[59]  M. Ausloos,et al.  Market Fluctuations I: Scaling, Multiscaling, and Their Possible Origins , 2002 .

[60]  Hideki Takayasu,et al.  Empirical Science of Financial Fluctuations , 2002 .

[61]  高安 秀樹,et al.  Empirical science of financial fluctuations : the advent of econophysics , 2002 .

[62]  Armin Bunde,et al.  The science of disasters : climate disruptions, heart attacks, and market crashes , 2002 .

[63]  Christian Upper,et al.  Time Variation in the Tail Behaviour of Bund Futures Returns , 2002, SSRN Electronic Journal.

[64]  Markus K. Brunnermeier,et al.  Bubbles and Crashes , 2001 .

[65]  Michele Marchesi,et al.  Testing for Non-Linear Structure in an Artificial Financial Market , 2001 .

[66]  R. Carvalho,et al.  The Dynamics of the Linear Random Farmer Model , 2001, cond-mat/0107150.

[67]  C. Noussair,et al.  Price Bubbles in Laboratory Asset Markets with Constant Fundamental Values , 2001 .

[68]  Xavier Gabaix,et al.  Price fluctuations, market activity and trading volume , 2001 .

[69]  Gilles Teyssière,et al.  Microeconomic Models for Long Memory in the Volatility of Financial Time Series , 2001 .

[70]  C. Chiarella,et al.  Dynamics of beliefs and learning under aL-processes -- the heterogeneous case , 2001 .

[71]  Guo Ying Luo,et al.  On the Survival of Overconfident Traders in a Competitive Securities Market , 2001 .

[72]  M. Marchesi,et al.  VOLATILITY CLUSTERING IN FINANCIAL MARKETS: A MICROSIMULATION OF INTERACTING AGENTS , 2000 .

[73]  Ignacio N. Lobato,et al.  Long Memory in Stock-Market Trading Volume , 2000 .

[74]  G. Galati.  Trading Volumes, Volatility and Spreads in Foreign Exchange Markets: Evidence from Emerging Market Countries , 2000 .

[75]  Mike K. P. So.  Long-term memory in stock market volatility , 2000 .

[76]  Mark Buchanan.  Ubiquity: The Science of History . . . or Why the World Is Simpler Than We Think , 2000 .

[77]  Yin-Wong Cheung,et al.  A survey of market practitioners' views on exchange rate dynamics , 2000 .

[78]  Andrea Gaunersdorfer,et al.  Endogenous fluctuations in a simple asset pricing model with heterogeneous agents , 2000 .

[79]  B. Ray,et al.  Long-range Dependence in Daily Stock Volatilities , 2000 .

[80]  R. MacDonald.  Expectations Formation and Risk in Three Financial Markets: Surveying What the Surveys Say , 2000 .

[81]  V. Eguíluz,et al.  Transmission of information and herd Behavior: an application to financial markets. , 1999, Physical review letters.

[82]  J. Bouchaud,et al.  HERD BEHAVIOR AND AGGREGATE FLUCTUATIONS IN FINANCIAL MARKETS , 1997, Macroeconomic Dynamics.

[83]  J. Bouchaud,et al.  Theory of financial risks : from statistical physics to risk management , 2000 .

[84]  Carl Chiarella,et al.  Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model , 2002 .

[85]  Andrea Gaunersdorfer,et al.  A Nonlinear Structural Model for Volatility Clustering , 2000 .

[86]  Didier Sornette,et al.  On Rational Bubbles and Fat Tails , 1999, cond-mat/9910141.

[87]  R. Palmer,et al.  Time series properties of an artificial stock market , 1999 .

[88]  T. Brenner.  Modelling Learning in Economics , 1999 .

[89]  D. Sornette,et al.  Self-organized percolation model for stock market fluctuations , 1999, cond-mat/9906434.

[90]  Dietrich Stauffer,et al.  FINITE-SIZE EFFECTS IN MONTE CARLO SIMULATIONS OF TWO STOCK MARKET MODELS , 1999 .

[91]  Giulia Iori,et al.  A Microsimulation of Traders Activity in the Stock Market: The Role of Heterogeneity, Agents' Interactions and Trade Frictions , 1999, adap-org/9905005.

[92]  Dietrich Stauffer,et al.  FUNDAMENTAL JUDGEMENT IN CONT-BOUCHAUD HERDING MODEL OF MARKET FLUCTUATIONS , 1999 .

[93]  M. Marchesi,et al.  Scaling and criticality in a stochastic multi-agent model of a financial market , 1999, Nature.

[94]  B. Mandelbrot.  A Multifractal Walk down Wall Street , 1999 .

[95]  Laurent E. Calvet,et al.  Forecasting Multifractal Volatility , 1999 .

[96]  Dietrich Stauffer,et al.  MONTE CARLO SIMULATION OF VOLATILITY CLUSTERING IN MARKET MODEL WITH HERDING , 1999 .

[97]  Dietrich Stauffer,et al.  Crossover in the Cont–Bouchaud percolation model for market fluctuations , 1998 .

[98]  Marcel Ausloos,et al.  Sparseness and roughness of foreign exchange rates , 1998 .

[99]  M. Marchesi,et al.  VOLATILITY CLUSTERING IN FINANCIAL MARKETS: A MICROSIMULATION OF INTERACTING AGENTS , 1998 .

[100]  P. Gopikrishnan,et al.  Inverse cubic law for the distribution of stock price variations , 1998, cond-mat/9803374.

[101]  Hideki Takayasu,et al.  Dynamic numerical models of stock market price: from microscopic determinism to macroscopic randomness , 1998 .

[102]  A. Lo,et al.  THE ECONOMETRICS OF FINANCIAL MARKETS , 1996, Macroeconomic Dynamics.

[103]  T. Lux.  The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions , 1998 .

[104]  Steven J. Davis,et al.  The Quarterly Journal of Economics.@@@Giornale degli Economisti. , 1886 .

[105]  Marcel Ausloos,et al.  Coherent and random sequences in financial fluctuations , 1997 .

[106]  T. Lux.  Time variation of second moments from a noise trader/infection model , 1997 .

[107]  William A. Brock,et al.  A rational route to randomness , 1997 .

[108]  J. Bouchaud,et al.  Scaling in Stock Market Data: Stable Laws and Beyond , 1997, cond-mat/9705087.

[109]  M. Shubik,et al.  Price Variations in a Stock Market with Many Agents , 1996, cond-mat/9609144.

[110]  William A. Brock,et al.  Models of complexity in economics and finance , 1997 .

[111]  Thomas Lux,et al.  The stable Paretian hypothesis and the frequency of large returns: an examination of major German stocks , 1996 .

[112]  R. Palmer,et al.  Asset Pricing Under Endogenous Expectations in an Artificial Stock Market , 1996 .

[113]  Ignacio N. Lobato,et al.  Real and Spurious Long-Memory Properties of Stock-Market Data , 1996 .

[114]  Thomas M. Antonsen,et al.  On-off intermittency: power spectrum and fractal properties of time series , 1996 .

[115]  J. Ramsey.  On the existence of macro variables and of macro relationships , 1996 .

[116]  R. Baillie,et al.  Fractionally integrated generalized autoregressive conditional heteroskedasticity , 1996 .

[117]  Jasmina Arifovic,et al.  The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies , 1996, Journal of Political Economy.

[118]  Moshe Levy,et al.  Microscopic Simulation of the Stock Market: the Effect of Microscopic Diversity , 1995 .

[119]  T. Lux.  Herd Behaviour, Bubbles and Crashes , 1995 .

[120]  Maureen O'Hara,et al.  Market Microstructure Theory , 1995 .

[121]  Bernardo A. Huberman,et al.  Clustered volatility in multiagent dynamics , 1995, adap-org/9502006.

[122]  茂 笹山.  Paul De Grauwe, Hans Dewachter, and Mark Embrechts Exchange Rate Theory: Chaotic Models of Foreign Exchange Markets Blackwell, 1993 , 1995 .

[123]  E. Ott,et al.  Blowout bifurcations: the occurrence of riddled basins and on-off intermittency , 1994 .

[124]  S. Solomon,et al.  A microscopic model of the stock market: Cycles, booms, and crashes , 1994 .

[125]  E. R. Grannan,et al.  Contrarians and Volatility Clustering , 1994, Complex Syst..

[126]  R. Tibshirani,et al.  An Introduction to the Bootstrap , 1995 .

[127]  C. Granger,et al.  A long memory property of stock market returns and a new model , 1993 .

[128]  M. Embrechts,et al.  Exchange Rate Theory: Chaotic Models of Foreign Exchange Markets , 1993 .

[129]  Alan Kirman,et al.  Ants, Rationality, and Recruitment , 1993 .

[130]  A. Banerjee,et al.  A Simple Model of Herd Behavior , 1992 .

[131]  Koichi Hamada,et al.  Statistical properties of deterministic threshold elements - the case of market price , 1992 .

[132]  Amy Hing-Ling Lau,et al.  The Distribution of Stock Returns: New Evidence against the Stable Model , 1990 .

[133]  Sidney I. Resnick,et al.  Extremal behaviour of solutions to a stochastic difference equation with applications to arch processes , 1989 .

[134]  S. Irwin,et al.  The Distribution of Futures Prices: A Test of the Stable Paretian and Mixture of Normals Hypotheses , 1989, Journal of Financial and Quantitative Analysis.

[135]  Stephen F. LeRoy,et al.  Efficient Capital Markets and Martingales , 1989 .

[136]  F Stephen.  LeROY, . Efficient Capital Markets and Martingales, Journal of Economic Literature, , . , 1989 .

[137]  Dennis W. Jansen,et al.  On the Frequency of Large Stock Returns: Putting Booms and Busts into Perspective , 1989 .

[138]  V. Smith,et al.  Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets , 1988 .

[139]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[140]  J. Kadane.  Structural Analysis of Discrete Data with Econometric Applications , 1984 .

[141]  W. Kamakura.  Book Review: Structural Analysis of Discrete Data with Econometric Applications , 1982 .

[142]  M. Watson,et al.  Bubbles, Rational Expectations and Financial Markets , 1982 .

[143]  R. Engle.  Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .

[144]  B. M. Hill,et al.  A Simple General Approach to Inference About the Tail of a Distribution , 1975 .

[145]  E. C. Zeeman,et al.  On the unstable behaviour of stock exchanges , 1974 .

[146]  H. Kesten.  Random difference equations and Renewal theory for products of random matrices , 1973 .

[147]  E. Fama.  Mandelbrot and the Stable Paretian Hypothesis , 1963 .

[148]  B. Mandlebrot.  The Variation of Certain Speculative Prices , 1963 .

[149]  William J. Baumol,et al.  Speculation, Profitability, and Stability , 1957 .

[150]  J. Keynes.  The General Theory of Employment , 1937 .

[151]  J. Keynes,et al.  The General Theory of Employment, Interest and Money. , 1936 .

[152]  H. Barger.  The General Theory of Employment, Interest and Money , 1936, Nature.

[153]  R. Strachey.  The Carnatic Rainfall , 1887, Nature.