IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v07n012004p121-138.html

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
    as

    Download full text from publisher

    File URL: https://www.gssinst.org/irer/wp-content/uploads/2020/10/vol-7-modeling-property-prices-using-neutral-network-model-for-hong-kong.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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. 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.
    5. 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.
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Norman Miller & Liang Peng, 2006. "Exploring Metropolitan Housing Price Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 33(1), pages 5-18, August.
    2. Mohd. Ahmed & Saeed AlQadhi & Javed Mallick & Nabil Ben Kahla & Hoang Anh Le & Chander Kumar Singh & Hoang Thi Hang, 2022. "Artificial Neural Networks for Sustainable Development of the Construction Industry," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    3. Ayuso, Juan & Restoy, Fernando, 2007. "House prices and rents in Spain: Does the discount factor matter?," Journal of Housing Economics, Elsevier, vol. 16(3-4), pages 291-308, November.
    4. Qingbin Cui & Makarand Hastak & Daniel Halpin, 2010. "Systems analysis of project cash flow management strategies," Construction Management and Economics, Taylor & Francis Journals, vol. 28(4), pages 361-376.
    5. Arno Vlist & Daniel Czamanski & Henk Folmer, 2011. "Immigration and urban housing market dynamics: the case of Haifa," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 585-598, December.
    6. repec:ebl:ecbull:v:3:y:2006:i:7:p:1-8 is not listed on IDEAS
    7. Yongsheng Jiang & Dong Zhao & Andrew Sanderford & Jing Du, 2018. "Effects of Bank Lending on Urban Housing Prices for Sustainable Development: A Panel Analysis of Chinese Cities," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    8. Dirk Drechsel & Anne Kathrin Funk, 2017. "Time-Varying and Regional Dynamics in Swiss Housing Markets," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 153(I), pages 37-72, March.
    9. 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.
    10. Anja Janischewski & Michael Heinrich Baumann, 2025. "What are Asset Price Bubbles? A Survey on Definitions of Financial Bubbles," Chemnitz Economic Papers 065, Department of Economics, Chemnitz University of Technology.
    11. Olivier de Bandt & Sheheryar Malik, 2010. "Is there Evidence of Shift-Contagion in International Housing Markets?," Working papers 295, Banque de France.
    12. David Miles, 2012. "Population Density, House Prices and Mortgage Design," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(5), pages 444-466, November.
    13. Samuel Dodini & Jeff Larrimore & Jenny Schuetz, 2016. "What are the Perceived Barriers to Homeownership for Young Adults?," Finance and Economics Discussion Series 2016-021, Board of Governors of the Federal Reserve System (U.S.).
    14. Harter-Dreiman, Michelle, 2004. "Drawing inferences about housing supply elasticity from house price responses to income shocks," Journal of Urban Economics, Elsevier, vol. 55(2), pages 316-337, March.
    15. Benítez-Silva, Hugo & Eren, Selçuk & Heiland, Frank & Jiménez-Martín, Sergi, 2015. "How well do individuals predict the selling prices of their homes?," Journal of Housing Economics, Elsevier, vol. 29(C), pages 12-25.
    16. Oikarinen, Elias, 2009. "Interaction between housing prices and household borrowing: The Finnish case," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 747-756, April.
    17. Charles Ka Yui Leung & Patrick Wai Yin Cheung & Edward Chi Ho Tang, 2013. "Financial Crisis and the Co-movements of Housing Sub-markets: Do relationships change after a crisis?," International Real Estate Review, Global Social Science Institute, vol. 16(1), pages 68-118.
    18. Fullerton, Jr., Thomas M. & Taylor West, Carol A., 1998. "Regional Econometric Housing Start Forecast Accuracy in Florida," The Review of Regional Studies, Southern Regional Science Association, vol. 28(3), pages 15-42, Winter.
    19. Barth, James R. & Benefield, Justin D. & Hollans, Harris, 2015. "Industry Concentration and Regional Housing Market Performance," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    20. Philipp Klotz & Tsoyu Calvin Lin & Shih-Hsun Hsu, 2013. "Property Bubbles and the Driving Forces in the PIGS Countries," ERES eres2013_144, European Real Estate Society (ERES).
    21. Addison-Smyth, Diarmaid & McQuinn, Kieran & O' Reilly, Gerard, 2008. "Estimating the Structural Demand for Irish Housing," Research Technical Papers 1/RT/08, Central Bank of Ireland.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ire:issued:v:07:n:01:2004:p:121-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IRER Graduate Assistant/Webmaster (email available below). General contact details of provider: https://www.gssinst.org/gssinst/index.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.