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The Approach of Real Property CAMA with Extreme Price

Author

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  • Chunghsien Yang

Abstract

The CAMA model usually depend on sample size and consistency. When a real property is extreme price, it seem be different attribute price and submarket. It’s also few sample size and hard to build a CAMA model. Some studies use the Quantile Regression(QR) or Artificial Neural Network(ANN) model, but a real property is hard to fit its quantile price in QR model, and it’s also hard to explain predict price in ANN model. This paper try to build a hybrid model and process. Using both the QR model and OLS model to predict the real property with extreme price. And the extreme price seem be another submarket, this paper is also to test how to combine or split submarket in the hybrid model in different scale market.

Suggested Citation

  • Chunghsien Yang, 2019. "The Approach of Real Property CAMA with Extreme Price," ERES eres2019_199, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2019_199
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    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2019-199
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    More about this item

    Keywords

    CAMA; Extreme Price; hybrid model; Submarket;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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