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Identifying asset price booms and busts with quantile regressions

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  • José Ferreira Machado
  • João Sousa

Abstract

This paper presents a methodology for detecting asset price booms and busts using non-parametric quantile regressions. The method consists in estimating the distribution of real stock prices as a function of fundamental determinants of stock returns, namely real economic activity and real interest rates. It is shown that changes in fundamentals affect not only the location but also the shape of the conditional distribution of stock prices. Asset price booms and busts are identified as realizations on the tails of that distribution. Then we use several indicators to analyse the behaviour of money and credit around the boom and bust episodes.

Suggested Citation

  • José Ferreira Machado & João Sousa, 2006. "Identifying asset price booms and busts with quantile regressions," Working Papers w200608, Banco de Portugal, Economics and Research Department.
  • Handle: RePEc:ptu:wpaper:w200608
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    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/wp200608.pdf
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    References listed on IDEAS

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    1. Perez-Quiros, Gabriel & Timmermann, Allan, 2001. "Business cycle asymmetries in stock returns: Evidence from higher order moments and conditional densities," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 259-306, July.
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    Cited by:

    1. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.
    2. Dieter Gerdesmeier & Hans‐Eggert Reimers & Barbara Roffia, 2010. "Asset Price Misalignments and the Role of Money and Credit," International Finance, Wiley Blackwell, vol. 13(3), pages 377-407, Winter.
    3. Helmut Herwartz & Konstantin A. Kholodilin, 2014. "In‐Sample and Out‐of‐Sample Prediction of stock Market Bubbles: Cross‐Sectional Evidence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 15-31, January.
    4. repec:eee:intfin:v:50:y:2017:i:c:p:204-218 is not listed on IDEAS
    5. Gabe de Bondt & Tuomas Peltonen & Daniel Santabarbara, 2011. "Booms and busts in China's stock market: estimates based on fundamentals," Applied Financial Economics, Taylor & Francis Journals, vol. 21(5), pages 287-300.
    6. James Hansen, 2011. "Does Equity Mispricing Influence Household and Firm Decisions?," RBA Research Discussion Papers rdp2011-06, Reserve Bank of Australia.
    7. Detken, Carsten & Adalid, Ramón, 2007. "Liquidity shocks and asset price boom/bust cycles," Working Paper Series 732, European Central Bank.
    8. Sousa, Ricardo M. & Vivian, Andrew & Wohar, Mark E., 2016. "Predicting asset returns in the BRICS: The role of macroeconomic and fundamental predictors," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 122-143.
    9. Dieter Gerdesmeier & Hans-Eggert Reimers & Barbara Roffia, 2011. "Early Warning Indicators for Asset Price Booms," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-19, June.
    10. Saumitra, Bhaduri & Raja, Sethudurai, 2012. "A note on excess money growth and inflation dynamics: evidence from threshold regression," MPRA Paper 38036, University Library of Munich, Germany.
    11. Barbara Roffia & Andrea Zaghini, 2007. "Excess Money Growth and Inflation Dynamics," International Finance, Wiley Blackwell, vol. 10(3), pages 241-280, December.
    12. Nuno Alves & Carlos Robalo Marques & João Sousa, 2007. "Is the euro area M3 abandoning us?," Working Papers w200720, Banco de Portugal, Economics and Research Department.

    More about this item

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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