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Residential Property Auctions: What do they tell us?

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  • O'Brien, Eoin

    (Central Bank of Ireland)

Abstract

This letter analyses results from residential property auctions conducted over the last eighteen months. At present, where there is considerable uncertainty surrounding the property market and transaction activity has declined, auctions can provide some transparency to the market. The limitation of the auction data, however, is the small sample size which means caution should be used in generalising widely from the results. The analysis indicates that properties sold at auction do so at a discount to the current market asking price and, on average, at a level over 65 per cent below peak prices. Additionally, rental yields achieved on the properties sold are above current market yields and at levels similar to those seen in the mid-1990s. The analysis also suggests that conditions differ across segments of the market as Dublin properties on average sold for smaller discounts relative to peak and current asking prices than properties outside of Dublin.

Suggested Citation

  • O'Brien, Eoin, 2012. "Residential Property Auctions: What do they tell us?," Economic Letters 10/EL/12, Central Bank of Ireland.
  • Handle: RePEc:cbi:ecolet:10/el/12
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    File URL: https://centralbank.ie/docs/default-source/publications/economic-letters/economic-letter---vol-2012-no-10.pdf?sfvrsn=10
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    References listed on IDEAS

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    1. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    2. Liebermann, Joëlle, 2012. "Short-term forecasting of quarterly gross domestic product growth," Quarterly Bulletin Articles, Central Bank of Ireland, pages 74-84, February.
    3. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    4. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, Elsevier.
    5. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    6. Domenico Giannone & Lucrezia Reichlin & Saverio Simonelli, 2009. "Nowcasting Euro Area Economic Activity In Real Time: The Role Of Confidence Indicators," National Institute Economic Review, National Institute of Economic and Social Research, vol. 210(1), pages 90-97, October.
    7. Claudia Godbout & Jocelyn Jacob, 2010. "Le pouvoir de prévision des indices PMI," Discussion Papers 10-3, Bank of Canada.
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