IDEAS home Printed from https://ideas.repec.org/a/taf/jpropr/v16y1999i2p139-152.html
   My bibliography  Save this article

The impact of economic and financial factors on UK property performance

Author

Listed:
  • Chris Brooks
  • Sotiris Tsolacos

Abstract

This paper employs a vector autoregressive model to investigate the impact of macroeconomic and financial variables on a UK real estate return series. The results indicate that unexpected inflation, and the interest rate term spread have explanatory powers for the property market. However, the most significant influence on the real estate series are the lagged values of the real estate series themselves. We conclude that identifying the factors that have determined UK property returns over the past twelve years remains a difficult task.

Suggested Citation

  • Chris Brooks & Sotiris Tsolacos, 1999. "The impact of economic and financial factors on UK property performance," Journal of Property Research, Taylor & Francis Journals, vol. 16(2), pages 139-152, January.
    • Handle: RePEc:taf:jpropr:v:16:y:1999:i:2:p:139-152
    DOI: 10.1080/095999199368193
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/095999199368193
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/095999199368193?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    2. Lawrence, Colin & Siow, Aloysius, 1985. "Interest Rates and Investment Spending: Some Empirical Evidence for Postwar U.S. Producer Equipment, 1947-1980," The Journal of Business, University of Chicago Press, vol. 58(4), pages 359-375, October.
    Full references (including those not matched with items on IDEAS)

    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. Semenov, Andrei, 2021. "Measuring the stock's factor beta and identifying risk factors under market inefficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 635-649.
    2. Yongliang Yang & Jin Wen & Yi Li, 2020. "The Impact of Environmental Information Disclosure on the Firm Value of Listed Manufacturing Firms: Evidence from China," IJERPH, MDPI, vol. 17(3), pages 1-20, February.
    3. Xia, Yihong, 2000. "Learning About Predictability: The Effects of Parameter Uncertainty on Dynamic Asset Allocation," University of California at Los Angeles, Anderson Graduate School of Management qt3167f8mz, Anderson Graduate School of Management, UCLA.
    4. Farahat Ragab Abdeltawab & Khairy Elgiziry, 2016. "Effect of Some Firms’ Internal Factors on Value in Emerging Markets: Evidence from the Egyptian Stock Market," Accounting and Finance Research, Sciedu Press, vol. 5(3), pages 1-87, August.
    5. Drobetz, Wolfgang & Kugler, Peter & Wanzenried, Gabrielle & Zimmermann, Heinz, 2009. "Heterogeneity in asset allocation decisions: Empirical evidence from Switzerland," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 84-93, March.
    6. Yu, Deshui & Huang, Difang & Chen, Li, 2023. "Stock return predictability and cyclical movements in valuation ratios," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 36-53.
    7. Chen, An-Sing & Chang, Hung-Chou & Cheng, Lee-Young, 2019. "Time-varying Variance Scaling: Application of the Fractionally Integrated ARMA Model," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 1-12.
    8. Dinh Hoang Bach Phan & Thi Thao Nguyen Nguyen & Dat Thanh Nguyen, 2019. "A Study Of Indonesia’S Stock Market: How Predictable Is It?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 0(12th BMEB), pages 1-12, January.
    9. Aissia, Dorsaf Ben, 2016. "Home and foreign investor sentiment and the stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 71-77.
    10. Diaz, Juan & Duarte, Diogo & Galindo, Hamilton & Montecinos, Alexis & Truffa, Santiago, 2021. "The importance of large shocks to return predictability," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    11. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    12. Malcolm Baker & C. Fritz Foley & Jeffrey Wurgler, 2004. "The Stock Market and Investment: Evidence from FDI Flows," NBER Working Papers 10559, National Bureau of Economic Research, Inc.
    13. Tania Morris & Jules Comeau, 2020. "Portfolio creation using artificial neural networks and classification probabilities: a Canadian study," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 133-163, June.
    14. F. DePenya & L. Gil-Alana, 2006. "Testing of nonstationary cycles in financial time series data," Review of Quantitative Finance and Accounting, Springer, vol. 27(1), pages 47-65, August.
    15. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Narayan, Paresh Kumar, 2015. "Stock return forecasting: Some new evidence," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 38-51.
    16. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    17. Brennan, Michael J. & Xia, Yihong, 2001. "Stock price volatility and equity premium," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 249-283, April.
    18. Amihud, Yakov & Hurvich, Clifford M., 2004. "Predictive Regressions: A Reduced-Bias Estimation Method," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(4), pages 813-841, December.
    19. Bao, Jack & Hou, Kewei & Zhang, Shaojun, 2023. "Systematic default and return predictability in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 149(3), pages 349-377.
    20. repec:wyi:journl:002108 is not listed on IDEAS
    21. Malcolm P. Baker & Ryan Taliaferro & Jeffrey Wurgler, 2004. "Pseudo Market Timing and Predictive Regressions," NBER Working Papers 10823, National Bureau of Economic Research, Inc.

    More about this item

    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:taf:jpropr:v:16:y:1999:i:2:p:139-152. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJPR20 .

    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.