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Regional Financial Markets With Common Currency

  • Weihong HUANG

    (Division of Economics, Nanyang Technological University, Singapore 637332, Singapore)

  • Zhenxi CHEN

    (Division of Economics, Nanyang Technological University, Singapore 637332, Singapore)

With the development of globalization and regional market integration, regional markets with common currency emerge. We develop a heterogeneous agents model based on the frameworks of Day and Huang (1990) as well as Westerhoff and Dieci (2006). Two markets using same currency are populated by chartists and fundamentalists. Market linkage is established by allowing investors to trade in both markets. One of the consequences of market linkage is market pooling, in which investors from each market interact with each other and determine the price movements of the market system. The market that is more stable initially exerts stabilizing force on the market system while itself might su¤er from destabilizing effect. Market system based on the model demonstrates the capability to generate important stylized facts of financial markets, in particular the significant cross-correlation between two markets.

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File URL: http://www3.ntu.edu.sg/hss2/egc/wp/2012/2012-10.pdf
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Paper provided by Nanyang Technological University, School of Humanities and Social Sciences, Economic Growth Centre in its series Economic Growth Centre Working Paper Series with number 1210.

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Length: 26 pages
Date of creation: Oct 2012
Date of revision:
Handle: RePEc:nan:wpaper:1210
Contact details of provider: Postal: Nanyang Drive, Singapore 637332
Fax: 6795 5797
Web page: http://egc.hss.ntu.edu.sg/

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  1. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-96, July.
  2. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
  3. 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.
  4. Balázs Égert & Evžen Kočenda, 2011. "Time-varying synchronization of European stock markets," Empirical Economics, Springer, vol. 40(2), pages 393-407, April.
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  6. Bohm, Volker & Wenzelburger, Jan, 2005. "On the performance of efficient portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 721-740, April.
  7. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2006. "More hedging instruments may destabilize markets," CeNDEF Working Papers 06-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  8. Farmer, J. Doyne & Joshi, Shareen, 2002. "The price dynamics of common trading strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.
  9. Zhu, Mei & Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2009. "Does the market maker stabilize the market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3164-3180.
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  11. William A. Brock & Blake D. LeBaron, 1995. "A Dynamic Structural Model for Stock Return Volatility and Trading Volume," NBER Working Papers 4988, National Bureau of Economic Research, Inc.
  12. He, Xue-Zhong & Westerhoff, Frank H., 2005. "Commodity markets, price limiters and speculative price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1577-1596, September.
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  15. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
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