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Cyclical behaviour of the Swiss real estate market

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Listed:
  • Thomas Ankenbrand
  • Fabian Kostadinov
  • Faten Ben Bouheni
  • Mondher Bellalah

Abstract

The influence of the last real estate crisis in Switzerland, in the '90s, was severe. Here, we seek to analyse the Swiss real estate market using agent-based modelling (ABM), from December 1986 to September 2014. Our model combines explicit knowledge of behavioural patterns of the agents, with implicit knowledge in the form of time series analysis. Findings are in line with other markets, indicating that the Swiss real estate market is pro-cyclical. If the trend of historically long-term increasing prices on the Swiss real estate market stops, we would expect a hard landing. Then, if regulation reduces the increasing real estate prices, this would lead to a drop in long-term prices.

Suggested Citation

  • Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
  • Handle: RePEc:ids:ijesbu:v:39:y:2020:i:1/2:p:71-99
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    References listed on IDEAS

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    1. 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.
    2. Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2012. "Leverage causes fat tails and clustered volatility," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 695-707, February.
    3. John Geanakoplos & Robert Axtell & J. Doyne Farmer & Peter Howitt & Benjamin Conlee & Jonathan Goldstein & Matthew Hendrey & Nathan M. Palmer & Chun-Yi Yang, 2012. "Getting at Systemic Risk via an Agent-Based Model of the Housing Market," American Economic Review, American Economic Association, vol. 102(3), pages 53-58, May.
    4. Arfaoui, Nabila & Brouillat, Eric & Saint Jean, Maïder, 2014. "Policy design and technological substitution: Investigating the REACH regulation in an agent-based model," Ecological Economics, Elsevier, vol. 107(C), pages 347-365.
    5. Zhou, Wei-Xing & Sornette, Didier, 2008. "Analysis of the real estate market in Las Vegas: Bubble, seasonal patterns, and prediction of the CSW indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(1), pages 243-260.
    6. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, debt and market structure in an agent-based model of the financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 95-120.
    7. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2012. "Debt, deleveraging and business cycles: An agent-based perspective," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-49.
    8. 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.
    9. Milcheva, Stanimira & Zhu, Bing, 2016. "Bank integration and co-movements across housing markets," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 148-171.
    10. Hatemi-J, Abdulnasser & Roca, Eduardo & Al-Shayeb, Abdulrahman, 2014. "How integrated are real estate markets with the world market? Evidence from case-wise bootstrap analysis," Economic Modelling, Elsevier, vol. 37(C), pages 137-142.
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