Skip to main content
Log in

Impact of housing price uncertainty on herding behavior: evidence from UK’s regional housing markets

  • Article
  • Published:
Journal of Housing and the Built Environment Aims and scope Submit manuscript

Abstract

This study investigates the impact of housing price uncertainty on the herding behavior in the UK's regional housing markets. Using a sample of thirteen regional housing markets and quarterly data from 1973Q4 to 2019Q2, we find that the probability of herding behavior is increasing in price uncertainty in nine of the thirteen regions and the national housing market. However, London and the Outer Metro regions, which have a high presence of institutional investors and high population, exhibit decreasing probability of herding as price uncertainty increases. We attribute this to the presence of informed investors and low asset value uncertainty. Therefore, since herding amplify market volatility, instability, fragility and asset mispricing, policy makers need to minimize policy uncertainties and implement regulatory mechanisms such as circuit breakers to circumvent the price and policy information risk from inducing non-information and irrational herding behavior among the investors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Nguyen Thanh et al. (2020) has also developed a real estate uncertainty index for the US, but the data availability is till 2017, and provides an opportunity to analyse its role in US regional housing markets as part of future research.

  2. https://www.nationwide.co.uk/about/house-price-index/download-data#xtab:regional-quarterly-series-all-properties-data-available-from-1973-onwards.

  3. https://uk.housing-observatory.com/dashboard.html.

  4. The CSAD model is an improved variant of the cross-sectional standard deviation (CSSD) mode (Christie & Huang, 1995). The CSSD is sensitive to outliers.

  5. See Ngene et al. (2018) for the discussion and application of Bai and Perron (1998, 2003) structural break model.

  6. We note that HPU is highly cyclical and shaped by macro fundamentals. Therefore, we do not include additional explanatory variables since their impact is already incorporated in HPU.

  7. Based on the Nomenclature of Territorial Units for Statistics (NUTS) codes, the UK housing observatory has created new disaggregated regional house prices at three levels comprising 10, 35, and 144 regions (see: https://uk.housing-observatory.com/dashboard.html for further details). As a robustness check, we computed CSAD for these three levels of the dataset covering the quarterly period of 1995Q2 to 2020Q3 and then analyzed herding for the overall UK. The rolling herding coefficients, based on a 10-year window, for levels 1, 2, and 3 have been presented in “Appendix”, and we find that the herding coefficients are negative over a less prolonged period, compared to the results reported in Fig. 2, and generally covers 2008–2012. This period is, of course, associated with heightened uncertainty in the housing market in the UK caused by the GFC (2007–2009) and the European debt crisis (2010–2012).

  8. One potential explanation for this result is the structure of the housing market in Wales. The relatively low housing prices in Wales has attracted foreigners, especially from England, who buy second homes for vacation or retirement. This has traditionally priced out the locals from the housing market, resulting in potential housing market controls such as holiday home tax and subsidies for the locals to own homes. Such actions distort the housing market and the stifle herding behavior as buyers have limited real income to participate in the housing market.

References

  • Akinsomi, O., Aye, G. C., Babalos, V., Economou, F., & Gupta, R. (2016). Real estate returns predictability revisited: Novel evidence from the US REITs market. Empirical Economics, 51(3), 1165–1190.

    Article  Google Scholar 

  • Akinsomi, O., Balcilar, M., Demirer, R., & Gupta, R. (2017). The effect of gold market speculation on REIT returns in South Africa: A behavioral perspective. Journal of Economics and Finance, 41(4), 774–793.

    Article  Google Scholar 

  • Akinsomi, O., Coskun, Y., Gupta, R., & Lau, C. K. M. (2018). Impact of volatility and equity market uncertainty on herd behavior: Evidence from UK REITs. Journal of European Real Estate Research. https://doi.org/10.1108/JERER-06-2017-0021

    Article  Google Scholar 

  • Antonakakis, N., Chatziantoniou, I., & Filis, G. (2013). Dynamic co-movements of stock market returns, implied volatility and policy uncertainty. Economics Letters, 120(1), 87–92.

    Article  Google Scholar 

  • Antonakakis, N., Chatziantoniou, I., Floros, C., & Gabauer, D. (2018). The dynamic connectedness of UK regional property returns. Urban Studies, 55(14), 3110–3134.

    Article  Google Scholar 

  • Ashworth, J., & Parker, S. C. (1997). Modeling regional house prices in the UK. Scottish Journal of Political Economy, 44(3), 225–246.

    Article  Google Scholar 

  • Avery, C., & Zemsky, P. (1998). Multidimensional uncertainty and herd behavior in financial markets. American Economic Review, 88, 724–748.

    Google Scholar 

  • Babalos, V., Balcilar, M., & Gupta, R. (2015). Herding behavior in real estate markets: Novel evidence from a Markov-switching model. Journal of Behavioral and Experimental Finance, 8, 40–43.

    Article  Google Scholar 

  • Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 47–78.

  • Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1–22.

    Article  Google Scholar 

  • Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636.

    Article  Google Scholar 

  • Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797-817.

    Article  Google Scholar 

  • Belsky, G., & Gilovich, T. (2010). Why smart people make big money mistakes and how to correct them: Lessons from the life-changing science of behavioral economics. Simon and Schuster.

    Google Scholar 

  • Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026.

    Article  Google Scholar 

  • Blasco, N., Corredor, P., & Ferreruela, S. (2017). Herding, volatility, and market stress in the Spanish stock market. In Handbook of investors' behavior during financial crises (pp. 151–168). Academic Press.

  • Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623–685.

    Article  Google Scholar 

  • Brogaard, J., & Detzel, A. (2015). The asset-pricing implications of government economic policy uncertainty. Management Science, 61(1), 3–18.

    Article  Google Scholar 

  • Busse, J. A. (1999). Volatility timing in mutual funds: Evidence from daily returns. The Review of Financial Studies, 12(5), 1009–1041.

    Article  Google Scholar 

  • Cameron, G., Muellbauer, J., & Murphy, A. (2006). Housing market dynamics and regional migration in Britain. CEPR Discussion Paper No. 5832.

  • Cakan, E., Demirer, R., Gupta, R., & Uwilingiye, J. (2019). Economic policy uncertainty and herding behavior: Evidence from the South African housing market.

  • Chamley, C. P. (2004). Rational herds: Economic models of social learning. Cambridge University Press.

    Google Scholar 

  • Chang, E. C., Cheng, J. W., & Khorana, A. (2000). An examination of herd behavior in equity markets: An international perspective. Journal of Banking & Finance, 24(10), 1651–1679.

    Article  Google Scholar 

  • Choudhry, T. (2020). Economic policy uncertainty and house prices: Evidence from geographical regions of England and Wales. Real Estate Economics, 48(2), 504–529.

    Article  Google Scholar 

  • Christie, W. G., & Huang, R. D. (1995). Following the pied piper: Do individual returns herd around the market? Financial Analysts Journal, 51(4), 31–37.

    Article  Google Scholar 

  • Devenow, A., & Welch, I. (1996). Rational herding in financial economics. European Economic Review, 40(3–5), 603–615.

    Article  Google Scholar 

  • Dreman, D. N. (1979). Contrarian investment strategy: The psychology of stock market success. Random House Incorporated.

    Google Scholar 

  • Fama, E. (1998). Market efficiency, long term returns and behavioral finance. Journal of Financial Economics, 49(3), 283–306.

    Article  Google Scholar 

  • Friedman, B. M. (1984). A comment: Stock prices and social dynamics. Brookings Papers on Economic Activity, 2, 504–508.

    Google Scholar 

  • Froot, K. A., Scharfstein, D. S., & Stein, J. C. (1992). Herd on the street: Informational inefficiencies in a market with short-term speculation. The Journal of Finance, 47(4), 1461–1484.

    Article  Google Scholar 

  • Hamnett, C. (2009). Spatially displaced demand and the changing geography of house prices in London, 1995–2006. Housing Studies, 24(3), 301–320.

    Article  Google Scholar 

  • Hirshleifer, D., & Hong Teoh, S. (2003). Herd behavior and cascading in capital markets: A review and synthesis. European Financial Management, 9(1), 25–66.

    Article  Google Scholar 

  • Hung, W., Lu, C. C., & Lee, C. F. (2010). Mutual fund herding its impact on stock returns: Evidence from the Taiwan stock market. Pacific-Basin Finance Journal, 18(5), 477–493.

    Article  Google Scholar 

  • Hwang, S., & Salmon, M. (2004). Market stress and herding. Journal of Empirical Finance, 11(4), 585–616.

    Article  Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

    Article  Google Scholar 

  • Kaniel, R., Saar, G., & Titman, S. (2008). Individual investor trading and stock returns. The Journal of Finance, 63(1), 273–310.

    Article  Google Scholar 

  • Li, W., & Wang, S. S. (2010). Daily institutional trades and stock price volatility in a retail investor-dominated emerging market. Journal of Financial Markets, 13(4), 448–474.

    Article  Google Scholar 

  • Li, X. L., Balcilar, M., Gupta, R., & Chang, T. (2016). The causal relationship between economic policy uncertainty and stock returns in China and India: Evidence from a bootstrap rolling window approach. Emerging Markets Finance and Trade, 52(3), 674–689.

    Article  Google Scholar 

  • Lin, W. T., Tsai, S. C., & Lung, P. Y. (2013). Investors’ herd behavior: Rational or irrational? Asia-Pacific Journal of Financial Studies, 42(5), 755–776.

    Article  Google Scholar 

  • Lobao, J., & Serra, A. P. (2007). Herding behavior: Evidence from Portuguese mutual funds. In G. N. Gregoriou (Ed.), Diversification and portfolio management of mutual funds (pp. 167–197). Palgrave Macmillan.

    Chapter  Google Scholar 

  • Miles, W. (2020). Regional UK house price co-movement. Applied Economics, 52(45), 4976-4991.

    Article  Google Scholar 

  • Ngene, G. M., Sohn, D. P., & Hassan, M. K. (2017). Time-varying and spatial herding behavior in the US housing market: Evidence from direct housing prices. The Journal of Real Estate Finance and Economics, 54(4), 482–514.

    Article  Google Scholar 

  • Ngene, G., Post, J. A., & Mungai, A. N. (2018). Volatility and shock interactions and risk management implications: Evidence from the US and frontier markets. Emerging Markets Review, 37, 181-198.

    Article  Google Scholar 

  • Nguyen Thanh, B., Strobel, J., & Lee, G. (2020). A new measure of real estate uncertainty shocks. Real Estate Economics, 48(3), 744–771.

    Article  Google Scholar 

  • Pastor, L., & Veronesi, P. (2012). Uncertainty about government policy and stock prices. The Journal of Finance, 67(4), 1219–1264.

    Article  Google Scholar 

  • Philippas, N., Economou, F., Babalos, V., & Kostakis, A. (2013). Herding behavior in REITs: Novel tests and the role of the financial crisis. International Review of Financial Analysis, 29, 166–174.

    Article  Google Scholar 

  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.

    Article  Google Scholar 

  • Rapaport, C. (1997). Housing demand and community choice: An empirical analysis. Journal of Urban Economics, 42(2), 243–260.

    Article  Google Scholar 

  • Sharma, M. S., & Bikhchandani, S. (2000). Herd behavior in financial markets: A review. IMF Working Papers, (2000/048).

  • Shiller, R. J. (2003). From efficient markets theory to behavioral finance. Journal of economic perspectives, 17(1), 83-104.

    Article  Google Scholar 

  • Yang, J., Cashel-Cordo, P., & Kang, J. G. (2020a). Empirical research on herding effects: Case of real estate markets. Journal of Accounting and Finance, 20(1), 122–130.

    Google Scholar 

  • Yang, J., Cashel-Cordo, P., & Kang, J. G. (2020b). Empirical research on herding effects: Case of real estate markets. Journal of Accounting and Finance, 20(1), 122–130.

    Google Scholar 

  • Yusupova, A., Pavlidis, E. G., Paya, I., & Peel, D. A. (2020). UK housing price uncertainty index (HPU), UK housing observatory, Dept. of economics, Lancaster University Management School.

  • Zhou, J., & Anderson, R. I. (2013). An empirical investigation of herding behavior in the US REIT market. The Journal of Real Estate Finance and Economics, 47(1), 83–108.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Geoffrey M. Ngene.

Ethics declarations

Conflict of interest

There is no financial or non-financial conflict of interest. Further, the study did not receive any funding.

Ethical standards

We, Geoffrey M. Ngene and Rangan Gupta, (the authors) assure that the manuscript titled, “Impact of Housing Price Uncertainty on Herding Behavior: Evidence from UK’s Regional Housing Markets” has fulfilled the following ethical standards. The research is the authors' original work and has not been previously published elsewhere. The research paper is not currently being considered for publication in another journal. The research reflects the authors' own research and analysis in a truthful and complete manner. The results and empirical evidence are appropriately placed in the context of prior and existing research. All sources used in the research are properly cited and referenced.

Human or animal participation

The study did not involve Human participation of live animals.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

See Fig. 4.

Fig. 4
figure 4

Rolling herding coefficients for Level 1, Level 2 and Level 3 disaggregated regional house prices of the UK sourced from the UK housing observatory

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ngene, G.M., Gupta, R. Impact of housing price uncertainty on herding behavior: evidence from UK’s regional housing markets. J Hous and the Built Environ 38, 931–949 (2023). https://doi.org/10.1007/s10901-022-09975-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10901-022-09975-9

Keywords

JEL Classification

Navigation