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Signal Extraction with Kalman Filter: A Study of the Hong Kong Property Price Bubbles

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  • Qin Xiao

    (Division of Economics,School of Humanities and Social Sciences, Nanyang Technological University, Singapore)

  • Randolph Gee Kwang Tan

    (Division of Economics,School of Humanities and Social Sciences, Nanyang Technological University, Singapore)

Abstract

Since Flood and Garber (1980), the debate surrounding speculative bubbles has never subsided. A key obstacle to resolve this issue is the identification problem. A bubble is usually inferred from some assumed fundamental determinants of a price. These assumptions could be over-simplified. Furthermore, there might be data measurement errors. In this paper, we attempt to capture such errors with a latent state variable. This variable is extracted with Kalman filter. Based on our empirical comparisons, we find that it is possible to attribute the observed large price swings in the property market of Hong Kong during the 1980s and 1990s to a periodically collapsing rational speculative bubble.

Suggested Citation

  • Qin Xiao & Randolph Gee Kwang Tan, 2006. "Signal Extraction with Kalman Filter: A Study of the Hong Kong Property Price Bubbles," Economic Growth Centre Working Paper Series 0601, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
  • Handle: RePEc:nan:wpaper:0601
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    Cited by:

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    2. An-Ming Wang, 2016. "Agglomeration and simplified housing boom," Urban Studies, Urban Studies Journal Limited, vol. 53(5), pages 936-956, April.
    3. Tsaubin Chen & Chiang Ku Fan, 2019. "Non-performing Loans and Housing Prices in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(6), pages 1-4.
    4. Hsiao-Jung Teng & Chin-Oh Chang & Ming-Chi Chen, 2017. "Housing bubble contagion from city centre to suburbs," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1463-1481, May.
    5. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
    6. Wen-Chi LIU, 2016. "Do Multiple Housing Bubbles Exist in China? Further Evidence from Generalized Sup ADF Tests," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 135-145, December.
    7. Sara Ferreira Filipe, 2018. "Housing prices and mortgage credit in Luxembourg," BCL working papers 117, Central Bank of Luxembourg.
    8. Sherry Zhefang ZHOU & Helen Xiaohui BAO, 2009. "Modelling Price Dynamics In The Hong Kong Property Market," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 4(1S), pages 8-26, April.
    9. Qin Xiao, 2010. "Crashes in Real Estate Prices: Causes and Predictability," Urban Studies, Urban Studies Journal Limited, vol. 47(8), pages 1725-1744, July.
    10. Juan Huang & Geoffrey Qiping Shen, 2017. "Residential housing bubbles in Hong Kong: identification and explanation based on GSADF test and dynamic probit model," Journal of Property Research, Taylor & Francis Journals, vol. 34(2), pages 108-128, April.

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    More about this item

    Keywords

    rational speculative bubble; misspecification or measurement error; Kalman filter;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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