Market Sentiment and High-Rise Housing Prices in Hong Kong

  • John Wang Kwong Luk
  • Tze-Haw Chan

Abstract

Classical finance theories fall short of explaining volatile housing prices in Hong Kong. Employing principal component analysis (PCA) and factor analysis, this study constructs a unique Sentiment Index that integrates 11 market variables tailored to Hong Kong’s high-rise residential properties. Covering 2002Q1 to 2021Q2, including pivotal events such as the SARS epidemic, the Global Financial Crisis, stock downturns, political instability, and Covid-19, our analysis reveals the significant predictive capability of the Sentiment Index for property prices. A discernible relationship exists between housing prices and the Sentiment Index. While policies addressing smaller-sized flats (HPI40) should focus on demand-supply imbalances, those for larger apartments (HPI100 and HPI160) must consider speculative investments. An adaptive policy response with periodic assessments and measures responsive to market conditions, economic shifts, and geopolitical events is imperative for the robust and stable development of Hong Kong's housing market.

References

Aouadi, A., Arouri, M., & Teulon, F. (2013). Investor attention and stock market activity: Evidence from France. Economic Modelling, 35(1), 674–681.
Baker, M., & Wurgler, J. (2006). Investor Sentiment and the Cross-Section of Stock Returns. The Journal of Finance, 61(4), 1645–1680. Retrieved from http://www.jstor.org/stable/3874723.
Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129–151. https://doi.org/10.1257/jep.21.2.129
Chen, H., Chong, T. T. L., & She, Y. (2014). A principal component approach to measuring investor sentiment in China. Quantitative Finance, 14(4), 573–579. https://doi.org/10.1080/14697688.2013.869698
Clayton, J., Ling, D. C. & Naranjo, A. (2009). Commercial real estate valuation fundamentals versus investor sentiment. Journal of Real Estate Finance and Economics, 38, 5-37.
Clayton, J., MacKinnon, G., & Peng L. (2008). Time variation of liquidity in the private real estate market: an empirical investigation. Journal of Real Estate Research, 30(2), 125-160.
De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990). Noise trader risk in financial markets. Journal of political Economy, 98(4), 703-738.
Dimpfl, T., & Jank, S. (2016). Can internet search queries help to predict stock market volatility? European Financial Management, 22(2), 171–192.
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383-417.
Huang, D., Jiang, F., Tu, J., & Zhou, G. (2015). Investor sentiment aligned: A powerful predictor of stock returns. Review of Financial Studies, 28(3), 791–837. https://doi.org/10.1093/rfs/hhu080.
Hui, E. C. M. & Wang, Z. (2014). Market sentiment in private housing market. Habitat International, 44, 375-385.
Hui, E. C. M., Dong, Z., Jia, S., & Lam, C. H. L. (2017). How does sentiment affect returns of urban housing? Habitat international, 64, 71-84.
Jin, C., Soydemir, G., & Tidwell, A. (2014). The U.S. Housing Market and the Pricing of Risk: Fundamental Analysis and Market Sentiment. Journal of Real Estate Research, 36(2), 187–220. https://doi.org/10.1080/10835547.
Kishore, R. M. (2005). Financial management (6th ed., pp. 174–178). Jhajjar: Tan Prints.
Lam, C. H. L. & Hui, E. C. M. (2018). How does investor sentiment predict the future real estate returns of residential property in Hong Kong? Habitat International, 75, 1-11.
Liu, R., Li, T., & Greene, R. (2020). Migration and inequality in rental housing: Affordability stress in the Chinese cities. Applied Geography, 115, 102138. doi: 10.1016/j.apgeog.2019.102138
Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91.
Neal, R., & Wheatley, S. M. (1998). Do measures of investor sentiment predict returns? Journal of Financial and Quantitative Analysis, 33(4), 523–547.
Qiu, L., & Welch, I. (2004). Investor sentiment measures. National Bureau of Economic Research Cambridge, Mass., USA.
Saydometov, S., Sabherwal, S., & Aroul, R. R. (2020). Sentiment and its asymmetric effect on housing returns. Review of Financial Economics, 38 (2), 1–21.
Sharpe, W. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance,19(3), 425–442.
Trichilli, Y., Abdelhédi, M., & Boujelbène Abbes, M. (2018). Googling investor’s sentiment: Powerful measure in conventional and Islamic MENA financial markets. International Economic Journal, 32(3), 454–469.
Trichilli, Y., Boujelbène, A. M., & Masmoudi, A. (2020). Predicting the effect of Googling investor sentiment on Islamic stock market returns: A five-state hidden Markov model. International Journal of Islamic and Middle Eastern Finance and Management, 13(2), 165–193. https://doi.org/10.1108/IMEFM-07-2018-0218
Urban Reform Institute (2021). Annual Dermographia International Housing Affordability Survey. Available at http://www.demographia.com/dhi.pdf.
Vozlyublennaia, N. (2014). Investor attention, index performance, and return predictability. Journal of Banking & Finance, 41(1), 17–35.
Wang, Z. & Hui, E. C. M. (2017). Fundamentals and market sentiment in housing market. Housing, Theory and Society, 34(1), 57-78.
Published
2024-03-31
How to Cite
KWONG LUK, John Wang; CHAN, Tze-Haw. Market Sentiment and High-Rise Housing Prices in Hong Kong. International Journal of Advanced Research in Economics and Finance, [S.l.], v. 6, n. 1, p. 166-177, mar. 2024. ISSN 2682-812X. Available at: <https://myjms.mohe.gov.my/index.php/ijaref/article/view/26144>. Date accessed: 23 may 2024.
Section
English Section