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Factors Influencing Auction Outcomes: Bidder Turnout, Auction Houses and Market Conditions

Author

Listed:
  • Seow Eng Ong

    () (Department of Real Estate, National University of Singapore, 4 Architecture Drive, Singapore 117566)

  • Kenneth Lusht

    () (Dept of Insurance & Real Estate, Pennsylvania State University, 409 Business Admin Bldg. University Park, PA 16802-3004)

  • Chee Yong Mak

    (National University of Singapore, 4 Architecture Drive, Singapore 117566, Author-Workplace-Homepage:)

Abstract

This study provides new evidence on the outcomes of auctions of residential real estate, focusing on the effects of bidder turnout, pricing, market conditions and auction houses. Our analysis of properties offered for sale by auction in Singapore from 1995 to 2000 shows that several variables are significant in explaining why an auction results in a sale or not. These variables included the state of the market, the timing of the auction (year), the number of bidders at the auction and the auction house. We also find that the probability of a sale is higher for distress sales, for more homogenous properties and for those located in the central region. Finally, we provide a sensitivity analysis of how market conditions and the choice of auction house influence the probability of a sale.

Suggested Citation

  • Seow Eng Ong & Kenneth Lusht & Chee Yong Mak, 2005. "Factors Influencing Auction Outcomes: Bidder Turnout, Auction Houses and Market Conditions," Journal of Real Estate Research, American Real Estate Society, vol. 27(2), pages 177-192.
  • Handle: RePEc:jre:issued:v:27:n:2:2005:p:177-192
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    Citations

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    Cited by:

    1. Jin-Ray Lu & Chih-Chiang Huang, 2015. "Identifying Stock Market Reactions to Acquisition Announcements in Taiwan Land Auction," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(8), pages 1014-1028, August.
    2. Stevenson, Simon & Young, James & Gurdgiev, Constantin, 2010. "A comparison of the appraisal process for auction and private treaty residential sales," Journal of Housing Economics, Elsevier, vol. 19(2), pages 145-154, June.
    3. Simon Stevenson & James Young, 2015. "The Role of Undisclosed Reserves in English Open Outcry Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 375-402, June.
    4. Michael LaCour-Little & Arsenio Staer, 2016. "Earthquakes and Price Discovery in the Housing Market: Evidence from New Zealand," International Real Estate Review, Asian Real Estate Society, vol. 19(4), pages 493-513.
    5. Yuen Leng Chow & Joseph T.L. Ooi, 2014. "First-Price Sealed-Bid Tender versus English Open Auction: Evidence from Land Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(2), pages 253-278, June.
    6. Rosane Hungria-Gunnelin, 2013. "Impact of Number of Bidders on Sale Price of Auctioned Condominium Apartments in Stockholm," International Real Estate Review, Asian Real Estate Society, vol. 16(3), pages 274-295.
    7. Srinivasa S. Ponnaluru & Thomas L. Marsh & Michael Brady, 2012. "Spatial price analysis of used construction equipment: the case of excavators," Construction Management and Economics, Taylor & Francis Journals, vol. 30(11), pages 981-994, November.
    8. Abdul ?Rasheed Amidu & Alirat Olayinka Agboola, 2009. "Empirical Evidence Of The Influences On First-Price Bid Auction Premiums," International Real Estate Review, Asian Real Estate Society, vol. 12(2), pages 157-170.

    More about this item

    JEL classification:

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

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