Situs slot slot88 SLOT JP slot slot akun jp slot slot gacor slot gacor emon77 slot88 slot gacor akuntoto slot juaraslot88 emon77 slot88resmi emon77 slot TOTOSLOTJP slot slot slot gacor slot slot gacor data macau slot88 slot88 Situs toto data macau hari ini TOTO sakti123 toto slot situs toto toto slot Slot pontoto tarungtoto mahjong situs slot gacor situs toto situs toto KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO KIENTOTO LICIN4D PUCUK4D PASCOL4D PASCOL4D PASCOL4D PASCOL4D PASCOL4D kari4d kari4d PASCOL4D kari4d PASCOL4D PASCOL4D kari4d kari4d
Vol. 3 No. 2 (2025)
Articles

From Rationality to Reality: A Systematic Synthesis of Behavioral Biases and Irrationality in Global Real Estate Markets

Muhammad Sahlan
Binus Business School Master Program, Management Department, Bina Nusantara University
Eko Susanto
Department of Business Administration, Politeknik Negeri Bandung

Published 2025-12-25

Keywords

  • Behavioral Real Estate,
  • Systematic Literature Review,
  • Herding Behavior,
  • Market Efficiency,
  • Adaptive Market Hypothesis

How to Cite

Sahlan, M., & Susanto, E. (2025). From Rationality to Reality: A Systematic Synthesis of Behavioral Biases and Irrationality in Global Real Estate Markets. Journal of Consumer Studies and Applied Marketing, 3(2), 214–234. https://doi.org/10.58229/jcsam.v3i2.466

Abstract

The traditional paradigm of real estate finance is currently undergoing a fundamental transition from neoclassical "Rationality" to a more nuanced "Behavioral Reality." This study provides a systematic literature review (SLR) of the behavioral biases influencing global property markets, synthesizing evidence from 97 peer-reviewed documents indexed in Scopus and Web of Science over 26 years (1999–2025). Following the PRISMA 2020 protocol, the review addresses four critical research questions regarding the evolution, taxonomy, geographical distribution, and market impact of behavioral heuristics. The findings reveal a significant surge in publication density between 2020 and 2025, driven by global economic uncertainty and the digitalization of property markets. A comprehensive taxonomy identifies herding behavior as the most dominant bias, functioning as a psychological bridge between individual cognitive errors (e.g., anchoring) and collective social sentiment. Methodologically, the landscape is shifting from macro-econometric modeling toward experimental designs, particularly in measuring "investor mood." Geographically, a stark divergence is observed: emerging markets (e.g., China, Turkey, and Poland) exhibit significantly higher bias intensity and "intentional herding" compared to developed markets, primarily due to lower institutional transparency. Ultimately, the persistent decoupling of house prices from fundamental values during bubble formations confirms the limitations of the Efficient Market Hypothesis (EMH). The study advocates for the Adaptive Market Hypothesis (AMH) as a superior framework for understanding the "predictable irrationality" of market participants. These insights offer practical implications for investors, practitioners, and policymakers in developing behaviorally informed "early warning systems" to mitigate systemic volatility in the global real estate ecosystem.

References

  1. Ahn, K., Jang, H., Kim, J., & Ryu, I. (2024). COVID-19 and REITs Crash: Predictability and Market Conditions. Computational Economics, 63(3), 1159–1172. https://doi.org/10.1007/s10614-023-10431-1
  2. Ahn, Y.-J., & Kim, K. B. (2024). Understanding the Interplay between Wellness Motivation, Engagement, Satisfaction, and Destination Loyalty. Behavioral Sciences, 14(3). https://doi.org/10.3390/bs14030239
  3. Coskun, Y., & Pitros, C. (2022). Is there a bubbly euphoria in the Turkish housing market? Journal of Housing and the Built Environment, 37(4), 2013–2032. https://doi.org/10.1007/s10901-022-09931-7
  4. Green, R. K., & LaCour-Little, M. (1999). Some Truths about Ostriches: Who Doesn’t Prepay Their Mortgages and Why They Don’t. Journal of Housing Economics, 8(3), 233–248. https://doi.org/10.1006/jhec.1999.0247
  5. Han, W., & Zhang, B. (2024). Analysis of the transformation of demand willingness for housing reverse mortgages in China based on a scenario simulation experiment. Asian Economic Journal, 38(3), 371–403. https://doi.org/10.1111/asej.12337
  6. Huang, W.-L., Tsai, I.-C., & Lin, W.-Y. (2020). https://www.risk.net/journal-of-risk/7674176/the-impact-of-corporate-social-and-environmental-performance-on-credit-rating-prediction-north-america-versus-europe. The Journal of Risk, 22(6), 35–63. https://doi.org/10.21314/JOR.2020.440
  7. Investor Sentiment Dynamics and Returns in Stock Market in Saudi Arabia. (2025). Applied Mathematics & Information Sciences, 19(4), 863–871. https://doi.org/10.18576/amis/190412
  8. Kahneman, D. H., Knetsch, J. L., & Thaler, R. H. (1986). Fairness As a Constraint on Profit Seeking: Entitlements In The Market. American Economic Review, 76(4).
  9. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263. https://doi.org/10.2307/1914185
  10. Kwakye, B., & Haw, C. (2021). Sentiment Measurement and its Relationship with Housing Prices: Review of Contemporary Dimensions. Review of Economics and Finance, 19, 203–211. https://doi.org/10.55365/1923.x2021.19.20
  11. Lesame, K., Ngene, G., Gupta, R., & Bouri, E. (2024). Herding in international REITs markets around the COVID-19 pandemic. Research in International Business and Finance, 67, 102147. https://doi.org/10.1016/j.ribaf.2023.102147
  12. Olszewski, K. (2025). Does it Pay to Escape Herding Behaviour in the Housing Market? Real Estate Management and Valuation, 33(2), 123–134. https://doi.org/10.2478/remav-2025-0020
  13. Shiller, R. J. (2015). Irrational Exuberance. Princeton University Press. https://doi.org/10.2307/j.ctt1287kz5
  14. Tan, W. K., & Huang, S. Y. (2020). Why visit theme parks? A leisure constraints and perceived authenticity perspective. Journal of Retailing and Consumer Services, 57(May), 102194. https://doi.org/10.1016/j.jretconser.2020.102194
  15. Tomal, M. (2024). Real Estate Brokerage And Endowment Effects In The Housing Market: Evidence From Poland. International Journal of Strategic Property Management, 28(3), 143–151. https://doi.org/10.3846/ijspm.2024.21456
  16. X. H. Bao, H., & Li, S. H. (2020). Investor Overconfidence and Trading Activity in the Asia Pacific REIT Markets. Journal of Risk and Financial Management, 13(10), 232. https://doi.org/10.3390/jrfm13100232
  17. Xie, Y., & Liu, H. (2004). Price-rent ratio in China’s housing market: Proper interval, measurement and an empirical study. International Journal of Strategic Property Management, 8(2), 73–86. https://doi.org/10.1080/1648715X.2004.9637509