Addressing Built-in Biases in Real Estate Investment: The Value in Taking a Behavioural Lens to Commercial Real Estate Investing
By Matthew Richardson, Nick Armet, Chris Arnold and Cameron Ho · Fidelity International · 2018 · INV101-105-25
Study guide: Exam INV-101
A Fidelity International study of behavioural finance and its application to real estate, written for investment professionals. It explores five of the most entrenched biases in the institutional commercial real estate market (framing, anchoring, loss aversion, home bias and herding), outlines their consequences and proposes practical workarounds to minimise their effect. Each bias is introduced with what it is, how it applies to real estate investing, and the workarounds.
On the syllabus
- Exam INV-101 — INV101-105-25, Addressing Built-in Biases in Real Estate Investment, including the appendix (outcome 2l)
Executive Summary
Introduction
- Why is behavioural finance an important investment tool?
- Why is real estate such a ripe area for behavioural biases?
- System 1 vs System 2: fight or flight responses are much less useful in investing
- Property is prone to feedback loops which cause bubbles and busts
- How to invest in an inefficient market with irrational investors?
The framing bias
- What is framing?
- How does framing affect real estate investing?
- Workarounds
The anchoring bias
- What is anchoring?
- How does anchoring apply to real estate?
- Workarounds
Loss aversion
- What is loss aversion?
- How does loss aversion apply to real estate?
- Workarounds
Home bias
- What is home bias?
- How does home bias apply to real estate?
- Workarounds
The herding bias
- What is herding?
- How does herding apply to real estate?
- Workarounds
Conclusion
Appendix 1: The Fidelity solution
References
Sources
- Addressing built-in biases in real estate investment (Fidelity International) — the document: its title and subtitle, the authors listed in the introduction, the executive summary, the contents list with every heading and sub-heading; the paper prints no publication date, and 2018 is taken from its sources dated up to August 2018 and the file's creation date of 20 August 2018
- SOA INV 101 Introductory Study Note, Nov 2026/Mar 2027/Jul 2027 — the study-note code INV101-105-25, its title and its former code QFIP-131-19
- SOA INV 101 Syllabus, Nov 2026/Mar 2027/Jul 2027 — the citation and the assignment of the paper including its appendix