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Modeling Property Prices Using Neural Network Model for Hong Kong

Author

Listed:
  • Xin J. Ge

    (School of Built Environment, UNITEC New Zealand, Carrington Rd, Mt Albert, Private Bag 92025, Auckland, New Zealand)

  • G. Runeson

    (Faculty of Design, Architecture and Building, University of NSW, Australia, 22 Tarrawanna Rd, Corrimal 2518, NSW, Australia)

Abstract

This paper develops a forecasting model of residential property prices for Hong Kong using an artificial neural network approach. Quarterly time-series data are applied for testing and the empirical results suggest that property price index, lagged one period, rental index, and the number of agreements for sales and purchases of units are the major determinants of the residential property price performance in Hong Kong. The results also suggest that the neural network methodology has the ability to learn, generalize, and converge time series.

Suggested Citation

  • Xin J. Ge & G. Runeson, 2004. "Modeling Property Prices Using Neural Network Model for Hong Kong," International Real Estate Review, Global Social Science Institute, vol. 7(1), pages 121-138.
    • Handle: RePEc:ire:issued:v:07:n:01:2004:p:121-138
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    References listed on IDEAS

    as
    1. Jonathan Jingsheng Shi, 1999. "A neural network based system for predicting earthmoving production," Construction Management and Economics, Taylor & Francis Journals, vol. 17(4), pages 463-471.
    2. Lennart Berg, 2005. "Price Indexes For Multi-dwelling Properties In Sweden," Journal of Real Estate Research, American Real Estate Society, vol. 27(1), pages 47-82.
    3. DiPasquale Denise & Wheaton William C., 1994. "Housing Market Dynamics and the Future of Housing Prices," Journal of Urban Economics, Elsevier, vol. 35(1), pages 1-27, January.
    4. Chan, Hing Lin & Lee, Shu Kam & Woo, Kai Yin, 2001. "Detecting rational bubbles in the residential housing markets of Hong Kong," Economic Modelling, Elsevier, vol. 18(1), pages 61-73, January.
    5. Reichert, Alan K, 1990. "The Impact of Interest Rates, Income, and Employment upon Regional Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 3(4), pages 373-391, December.
    6. A. H. Boussabaine & A. P. Kaka, 1998. "A neural networks approach for cost flow forecasting," Construction Management and Economics, Taylor & Francis Journals, vol. 16(4), pages 471-479.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Sanjay Mohapatra, 2021. "Human and computer interaction in information system design for managing business," Information Systems and e-Business Management, Springer, vol. 19(1), pages 1-11, March.
    2. Weipeng Tan & Tsung-Nan Chou, 2016. "Combined Grey Relational Analysis and Weighted Synthesis for Housing Price Prediction," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 2(3), pages 81-88.

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    More about this item

    Keywords

    residential property prices; artificial neural network (ANN); property price determinants; forecasting models; Hong Kong;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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