A calibration procedure for analyzing stock price dynamics in an agent-based framework
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- Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2015. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 1-25.
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- S. Alfarano & T. Lux & F. Wagner, 2007. "Empirical validation of stochastic models of interacting agents," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 55(2), pages 183-187, January.
- Chiarella, Carl & Iori, Giulia, 2009.
"The impact of heterogeneous trading rules on the limit order book and order flows,"
Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
- Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
- Chiarella, C. & Iori, G. & Perello, J., 2008. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Working Papers 08/04, Department of Economics, City University London.
- Carl Chiarella & Giulia Iori & Josep Perello, 2007. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Papers 0711.3581, arXiv.org.
- Gatti, Domenico Delli & Gallegati, Mauro & Greenwald, Bruce C. & Russo, Alberto & Stiglitz, Joseph E., 2012. "Mobility constraints, productivity trends, and extended crises," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 375-393.
- Gaunersdorfer, Andrea & Hommes, Cars H. & Wagener, Florian O.O., 2008.
"Bifurcation routes to volatility clustering under evolutionary learning,"
Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 27-47, July.
- Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2003. "Bifurcation Routes to Volatility Clustering under Evolutionary Learning," CeNDEF Working Papers 03-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Nielsen, Morten Ørregaard & Frederiksen, Per, 2008.
"Finite sample accuracy and choice of sampling frequency in integrated volatility estimation,"
Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
- Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Accuracy Of Integrated Volatility Estimators," Working Paper 1225, Economics Department, Queen's University.
- Ozgür Orhangazi, 2008.
"Financialisation and capital accumulation in the non-financial corporate sector:,"
Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(6), pages 863-886, November.
- Özgür Orhangazi, 2007. "Financialization and Capital Accumulation in the Non-Financial Corporate Sector," Working Papers wp149, Political Economy Research Institute, University of Massachusetts at Amherst.
- C. H. Hommes, 2001.
"Financial markets as nonlinear adaptive evolutionary systems,"
Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 149-167.
- Hommes, C.H., 2000. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," CeNDEF Working Papers 00-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Cars H. Hommes, 2001. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," Tinbergen Institute Discussion Papers 01-014/1, Tinbergen Institute.
- Lars Peter Hansen & James J. Heckman, 1996. "The Empirical Foundations of Calibration," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 87-104, Winter.
- Maria Elvira Mancino & Simona Sanfelici, 2012.
"Estimation of quarticity with high-frequency data,"
Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 607-622, December.
- Maria Elvira Mancino & Simona Sanfelici, 2011. "Estimation of Quarticity with High Frequency Data," Working Papers - Mathematical Economics 2011-06, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, revised Jan 2012.
- Leif Andersen & Jesper Andreasen, 2000. "Jump-Diffusion Processes: Volatility Smile Fitting and Numerical Methods for Option Pricing," Review of Derivatives Research, Springer, vol. 4(3), pages 231-262, October.
- Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012.
"Herding effects in order driven markets: The rise and fall of gurus,"
Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
- Iori, G. & Tedeschi, G., 2010. "Herding effects in order driven markets: The rise and fall of gurus," Working Papers 10/05, Department of Economics, City University London.
- David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997.
"Breeding Competitive Strategies,"
Management Science, INFORMS, vol. 43(3), pages 257-275, March.
- David F. Midgley & Robert E. Marks & Lee G. Cooper, 1995. "Breeding Competitive Strategies," Working Papers 95-06-052, Santa Fe Institute.
- Boswijk, H. Peter & Hommes, Cars H. & Manzan, Sebastiano, 2007.
"Behavioral heterogeneity in stock prices,"
Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1938-1970, June.
- Peter Boswijk & Cars H. Hommes & Sebastiano Manzan, 2005. "Behavioral Heterogeneity in Stock Prices," Tinbergen Institute Discussion Papers 05-052/1, Tinbergen Institute.
- Boswijk, H.P. & Hommes C.H. & Manzan, S., 2005. "Behavioral Heterogeneity in Stock Prices," CeNDEF Working Papers 05-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).
- Rama Cont, 2007. "Volatility Clustering in Financial Markets: Empirical Facts and Agent-Based Models," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 289-309, Springer.
- LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
- William A. Brock & Cars H. Hommes, 1997.
"A Rational Route to Randomness,"
Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
- Brock, W.A. & Hommes, C.H., 1995. "Rational Routes to Randomness," Working papers 9506, Wisconsin Madison - Social Systems.
- Brock, W.A., 1995. "A Rational Route to Randomness," Working papers 9530, Wisconsin Madison - Social Systems.
- William A. Brock & Cars H. Hommes, 1995. "Rational Routes to Randomness," Working Papers 95-03-029, Santa Fe Institute.
- Brock, W.A. & Hommes, C.H., 1996. "A Rational Route to Randomness," Working papers 9530r, Wisconsin Madison - Social Systems.
- G. Tedeschi & G. Iori & M. Gallegati, 2009. "The role of communication and imitation in limit order markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 489-497, October.
- Bates, David S, 1996. "Jumps and Stochastic Volatility: Exchange Rate Processes Implicit in Deutsche Mark Options," The Review of Financial Studies, Society for Financial Studies, vol. 9(1), pages 69-107.
- LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999.
"Time series properties of an artificial stock market,"
Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
- Arthur, W.B. & LeBaron, B. & Palmer, R., 1997. "Time Series Properties of an Artificial Stock Market," Working papers 9725, Wisconsin Madison - Social Systems.
- Hommes, Cars H., 2006.
"Heterogeneous Agent Models in Economics and Finance,"
Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186,
Elsevier.
- Cars H. Hommes, 2005. "Heterogeneous Agent Models in Economics and Finance," Tinbergen Institute Discussion Papers 05-056/1, Tinbergen Institute.
- Marco Raberto & Silvano Cincotti & Sergio Focardi & Michele Marchesi, 2003.
"Traders' Long-Run Wealth in an Artificial Financial Market,"
Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 255-272, October.
- Marco Raberto & Silvano Cincott & Sergio M. Focardi & Michele Marchesi, 2002. "Traders’ long-run wealth in an artificial financial market," Computing in Economics and Finance 2002 301, Society for Computational Economics.
- Simone Alfarano & Thomas Lux & Friedrich Wagner, 2005. "Estimation of Agent-Based Models: The Case of an Asymmetric Herding Model," Computational Economics, Springer;Society for Computational Economics, vol. 26(1), pages 19-49, August.
- Brock, William A. & Hommes, Cars H., 1998.
"Heterogeneous beliefs and routes to chaos in a simple asset pricing model,"
Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
- Brock, W.A. & Hommes, C.H., 1996. "Hetergeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model," Working papers 9621, Wisconsin Madison - Social Systems.
- Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
- Louis-Philippe Rochon & Sergio Rossi, 2010. "Has "It" Happened Again?," International Journal of Political Economy, Taylor & Francis Journals, vol. 39(2), pages 5-9.
- Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.
- Peter Winker and Manfred Gilli, 2001.
"Indirect Estimation of the Parameters of Agent Based Models of Financial Markets,"
Computing in Economics and Finance 2001
59, Society for Computational Economics.
- Peter Winker & Manfred Gilli, 2002. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," Computing in Economics and Finance 2002 314, Society for Computational Economics.
- Winmker, P. & Gilli, M., 2001. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," Papers 38, Manitoba - Department of Economics.
- Manfred GILLI, & Peter WINKER, 2001. "Indirect Estimation of the Parameters of Agent Based Models of Financial Markets," FAME Research Paper Series rp38, International Center for Financial Asset Management and Engineering.
- William A. Brock & Cars H. Hommes, 2001.
"A Rational Route to Randomness,"
Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438,
Edward Elgar Publishing.
- William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
- Brock, W.A. & Hommes, C.H., 1995. "Rational Routes to Randomness," Working papers 9506, Wisconsin Madison - Social Systems.
- William A. Brock & Cars H. Hommes, 1995. "Rational Routes to Randomness," Working Papers 95-03-029, Santa Fe Institute.
- Brock, W.A. & Hommes, C.H., 1996. "A Rational Route to Randomness," Working papers 9530r, Wisconsin Madison - Social Systems.
- Raberto, Marco & Cincotti, Silvano & Focardi, Sergio M. & Marchesi, Michele, 2001.
"Agent-based simulation of a financial market,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 319-327.
- Marco Raberto & Silvano Cincotti & Sergio M. Focardi & Michele Marchesi, 2001. "Agent-based simulation of a financial market," Papers cond-mat/0103600, arXiv.org, revised Mar 2001.
- Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2006. "Estimation of a simple agent-based model of financial markets: An application to Australian stock and foreign exchange data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 38-42.
- Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
- Bianchi, Carlo & Cirillo, Pasquale & Gallegati, Mauro & Vagliasindi, Pietro A., 2008. "Validation in agent-based models: An investigation on the CATS model," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 947-964, September.
- Carlo Bianchi & Pasquale Cirillo & Mauro Gallegati & Pietro Vagliasindi, 2007.
"Validating and Calibrating Agent-Based Models: A Case Study,"
Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 245-264, October.
- Pasquale Cirillo & Carlo Bianchi & Mauro Gallegati & Pietro Vagliasindi, 2006. "Validating and Calibrating Agent-based Models: a Case Study," Computing in Economics and Finance 2006 277, Society for Computational Economics.
- Lorella Fatone & Francesca Mariani & Maria Cristina Recchioni & Francesco Zirilli, 2013. "The Analysis of Real Data Using a Multiscale Stochastic Volatility Model," European Financial Management, European Financial Management Association, vol. 19(1), pages 153-179, January.
- Blake LeBaron & Ryuichi Yamamoto, 2008. "The Impact of Imitation on Long Memory in an Order-Driven Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 504-517.
- Samer Hassan & Javier Arroyo & José Manuel Galán & Luis Antunes & Juan Pavón, 2013. "Asking the Oracle: Introducing Forecasting Principles into Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(3), pages 1-13.
- Christopher A. Sims, 1996. "Macroeconomics and Methodology," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 105-120, Winter.
- LeBaron, Blake & Yamamoto, Ryuichi, 2007. "Long-memory in an order-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 85-89.
- Brock, W.A. & Hommes, C.H., 1997. "Models of Compelxity in Economics and Finance," Working papers 9706, Wisconsin Madison - Social Systems.
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More about this item
Keywords
Calibration; Validation; Forecasting; Agent-based models; Asset pricing; Heterogeneous beliefs;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2015-01-31 (Computational Economics)
- NEP-FOR-2015-01-31 (Forecasting)
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