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Structural stochastic volatility in asset pricing dynamics: Estimation and model contest

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  • Franke, Reiner
  • Westerhoff, Frank

Abstract

In the framework of small-scale agent-based financial market models, the paper starts out from the concept of structural stochastic volatility, which derives from different noise levels in the demand of fundamentalists and chartists and the time-varying market shares of the two groups. It advances several different specifications of the endogenous switching between the trading strategies and then estimates these models by the method of simulated moments (MSMs), where the choice of the moments reflects the basic stylized facts of the daily returns of a stock market index. In addition to the standard version of MSM with a quadratic loss function, we also take into account how often a great number of Monte Carlo simulation runs happen to yield moments that are all contained within their empirical confidence intervals. The model contest along these lines reveals a strong role for a (tamed) herding component. The quantitative performance of the winner model is so good that it may provide a standard for future research.

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Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 36 (2012)
Issue (Month): 8 ()
Pages: 1193-1211

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Handle: RePEc:eee:dyncon:v:36:y:2012:i:8:p:1193-1211
Contact details of provider: Web page: http://www.elsevier.com/locate/jedc

Keywords: Method of simulated moments; Moment coverage ratio; Herding; Discrete choice approach; Transition probability approach;

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Find related papers by JEL classification:
  • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
  • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
  • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
  • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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  1. Lines Marji & Westerhoff Frank, 2012. "Effects of Inflation Expectations on Macroeconomic Dynamics: Extrapolative Versus Regressive Expectations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-30, October.
  2. Peter Boswijk & Cars H. Hommes & Sebastiano Manzan, 2005. "Behavioral Heterogeneity in Stock Prices," Tinbergen Institute Discussion Papers 05-052/1, Tinbergen Institute.
  3. Malaj, Arben & Mema, Fatmir, 2003. "Strategic privatisation: Its achievements and challenges," BERG Working Paper Series 41, Bamberg University, Bamberg Economic Research Group.
  4. Alfarano, Simone & Milakovic, Mishael, 2010. "Identification of Interaction Effects in Survey Expectations: A Cautionary Note," MPRA Paper 26002, University Library of Munich, Germany.
  5. Roberto Dieci & Frank Westerhoff, 2012. "A simple model of a speculative housing market," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 303-329, April.
  6. Hayo, Bernd & Wrede, Matthias, 2001. "Fiscal equalisation: Principles and an application to the European Union," BERG Working Paper Series 38, Bamberg University, Bamberg Economic Research Group.
  7. J. Doyne Farmer & Shareen Joshi, 2000. "The Price Dynamics of Common Trading Strategies," Working Papers 00-12-069, Santa Fe Institute.
  8. Chiarella, Carl & He, Xue-Zhong & Huang, Weihong & Zheng, Huanhuan, 2012. "Estimating behavioural heterogeneity under regime switching," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 446-460.
  9. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-96, July.
  10. Manfred Gilli & Peter Winker & Vahidin Jeleskovic, 2006. "An Objective Function for Simulation Based Inference on Exchange Rate Data," Computing in Economics and Finance 2006 147, Society for Computational Economics.
  11. Brock, W.A. & de Fontnouvelle, P., 1996. "Expectational Diversity in Monetary Economics," Working papers 9624, Wisconsin Madison - Social Systems.
  12. Bjørn Eraker, 2004. "Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1367-1404, 06.
  13. 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.
  14. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
  15. Nusser, Michael, 1999. "The implications of wage structure rigidity on human capital accumulation, economic growth and unemployment: A Schumpeterian approach to endogenous growth theory," BERG Working Paper Series 28, Bamberg University, Bamberg Economic Research Group.
  16. Wrede, Matthias, 1999. "A note on reliefs for traveling expenses to work," BERG Working Paper Series 30, Bamberg University, Bamberg Economic Research Group.
  17. Kurt A. Hafner, 2006. "Agglomeration, Migration and Tax Competition," DEGIT Conference Papers c011_027, DEGIT, Dynamics, Economic Growth, and International Trade.
  18. Amilon, Henrik, 2008. "Estimation of an adaptive stock market model with heterogeneous agents," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 342-362, March.
  19. Szüle, Borbála, 2003. "Inside financial conglomerates: Effects in the Hungarian pension fund markets," BERG Working Paper Series 42, Bamberg University, Bamberg Economic Research Group.
  20. Hall, Peter, 1990. "Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems," Journal of Multivariate Analysis, Elsevier, vol. 32(2), pages 177-203, February.
  21. Kächelein, Holger, 2004. "Capital Tax Competition and Partial Cooperation : Welfare Enhancing or not?," BERG Working Paper Series 51, Bamberg University, Bamberg Economic Research Group.
  22. Kola, Tonin & Liko, Elida, 2008. "An empirical assessment of alternative exchange rate regimes in medium term in Albania," BERG Working Paper Series 58, Bamberg University, Bamberg Economic Research Group.
  23. Brock, W.A., 1995. "A Rational Route to Randomness," Working papers 9530, Wisconsin Madison - Social Systems.
  24. Westerhoff, Frank, 2009. "A simple agent-based financial market model: Direct interactions and comparisons of trading profits," BERG Working Paper Series 61, Bamberg University, Bamberg Economic Research Group.
  25. Kocherlakota, Narayana R., 1990. "On tests of representative consumer asset pricing models," Journal of Monetary Economics, Elsevier, vol. 26(2), pages 285-304, October.
  26. Franke, Reiner, 2009. "Applying the method of simulated moments to estimate a small agent-based asset pricing model," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 804-815, December.
  27. 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.
  28. Youwei Li & Bas Donkers & Bertrand Melenberg, 2010. "Econometric analysis of microscopic simulation models," Quantitative Finance, Taylor & Francis Journals, vol. 10(10), pages 1187-1201.
  29. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
  30. Cars H. Hommes, 2005. "Heterogeneous Agent Models in Economics and Finance," Tinbergen Institute Discussion Papers 05-056/1, Tinbergen Institute.
  31. Jenei, György, 2009. "A post-accession crisis? Political developments and public sector modernization in Hungary," BERG Working Paper Series 67, Bamberg University, Bamberg Economic Research Group.
  32. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
  33. Treier, Volker, 1999. "Unemployment in reforming countries: Causes, fiscal impacts and the success of transformation," BERG Working Paper Series 29, Bamberg University, Bamberg Economic Research Group.
  34. Carsten Eckel, 2009. "International Trade and Retailing," CESifo Working Paper Series 2597, CESifo Group Munich.
  35. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-89, July.
  36. Manzan, Sebastiano & Westerhoff, Frank H., 2007. "Heterogeneous expectations, exchange rate dynamics and predictability," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 111-128, September.
  37. Ching-Sheng Mao, 1990. "Hypothesis testing and finite sample properties of generalized method of moments estimators: a Monte Carlo study," Working Paper 90-12, Federal Reserve Bank of Richmond.
  38. Witte, Björn-Christopher, 2009. "Temporal information gaps and market efficiency: A dynamic behavioral analysis," BERG Working Paper Series 64, Bamberg University, Bamberg Economic Research Group.
  39. Simone Alfarano & Thomas Lux & Friedrich Wagner, 2005. "Estimation of Agent-Based Models: The Case of an Asymmetric Herding Model," Computational Economics, Society for Computational Economics, vol. 26(1), pages 19-49, August.
  40. Pfeffer, Annamaria, 2010. "Staatliche Zinssubvention und Auslandsverschuldung: Eine Mittelwert-Varianz-Analyse am Beispiel Ungarn," BERG Working Paper Series 72, Bamberg University, Bamberg Economic Research Group.
  41. Lee, Bong-Soo & Ingram, Beth Fisher, 1991. "Simulation estimation of time-series models," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 197-205, February.
  42. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
  43. Gaber, Stevan, 2010. "Economic implications from deficit finance," BERG Working Paper Series 69, Bamberg University, Bamberg Economic Research Group.
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