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Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment

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  • Christian Pierdzioch

    () (Department of Economics, Helmut Schmidt University, Germany)

Abstract

Based on a recursive forecasting approach, this research studies whether macro- economic factors help to forecast excess returns on a real-estate-based German stock market index. Key findings are that macroeconomic factors are often included in the optimal forecasting model, that their relative importance often differs from their importance for forecasting a broad stock-market index, and that their informational content for forecasting excess returns seems to undergo temporal shifts. This research also finds evidence of market timing.

Suggested Citation

  • Christian Pierdzioch, 2012. "Macroeconomic Factors and the German Real Estate Market: A Stock-Market-Based Forecasting Experiment," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 87-96, May.
  • Handle: RePEc:bap:journl:120208
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    References listed on IDEAS

    as
    1. Pierdzioch, Christian & Döpke, Jörg & Hartmann, Daniel, 2008. "Forecasting stock market volatility with macroeconomic variables in real time," Journal of Economics and Business, Elsevier, vol. 60(3), pages 256-276.
    2. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    3. Pesaran, M. Hashem & Timmermann, Allan G., 1994. "A generalization of the non-parametric Henriksson-Merton test of market timing," Economics Letters, Elsevier, vol. 44(1-2), pages 1-7.
    4. Hartmann, Daniel & Kempa, Bernd & Pierdzioch, Christian, 2008. "Economic and financial crises and the predictability of U.S. stock returns," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 468-480, June.
    5. Liu, Crocker H & Mei, Jianping, 1992. "The Predictability of Returns on Equity REITs and Their Co-movement with Other Assets," The Journal of Real Estate Finance and Economics, Springer, vol. 5(4), pages 401-418, December.
    6. Rapach, David E. & Wohar, Mark E. & Rangvid, Jesper, 2005. "Macro variables and international stock return predictability," International Journal of Forecasting, Elsevier, vol. 21(1), pages 137-166.
    7. Pesaran, M Hashem & Timmermann, Allan, 2000. "A Recursive Modelling Approach to Predicting UK Stock Returns," Economic Journal, Royal Economic Society, vol. 110(460), pages 159-191, January.
    8. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    9. Adams, Zeno & Füss, Roland, 2010. "Macroeconomic determinants of international housing markets," Journal of Housing Economics, Elsevier, vol. 19(1), pages 38-50, March.
    10. Mikhed, Vyacheslav & Zemcík, Petr, 2009. "Do house prices reflect fundamentals? Aggregate and panel data evidence," Journal of Housing Economics, Elsevier, vol. 18(2), pages 140-149, June.
    11. Christian Dreger & J¨¹rgen Wolters, 2011. "Liquidity and Asset Prices: How Strong are the Linkages?," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 43-52, February.
    12. Mei, Jianping & Liu, Crocker H, 1994. "The Predictability of Real Estate Returns and Market Timing," The Journal of Real Estate Finance and Economics, Springer, vol. 8(2), pages 115-135, March.
    13. Campbell, John Y., 1987. "Stock returns and the term structure," Journal of Financial Economics, Elsevier, vol. 18(2), pages 373-399, June.
    14. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2008. "Real-time macroeconomic data and ex ante stock return predictability," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 274-290.
    15. an de Meulen, Philipp & Micheli, Martin & Schmidt, Torsten, 2011. "Forecasting House Prices in Germany," Ruhr Economic Papers 294, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Goodman, Allen C. & Thibodeau, Thomas G., 2008. "Where are the speculative bubbles in US housing markets?," Journal of Housing Economics, Elsevier, vol. 17(2), pages 117-137, June.
    17. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
    18. Massimo Giuliodori, 2005. "The Role Of House Prices In The Monetary Transmission Mechanism Across European Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(4), pages 519-543, September.
    19. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    20. Edward Nelling & Joseph Gyourko, 1998. "The Predictability of Equity REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 16(3), pages 251-268.
    21. Nghiep Nguyen & Al Cripps, 2001. "Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks," Journal of Real Estate Research, American Real Estate Society, vol. 22(3), pages 313-336.
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    More about this item

    Keywords

    Real estate market; Stock market; Forecasting; Macroeconomic factors;

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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