Advances in Economics, Management and Political Sciences

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Proceedings of the 2022 International Conference on Financial Technology and Business Analysis (ICFTBA 2022), Part 2

Series Vol. 6 , 27 April 2023


Open Access | Article

Simple Review of Extrapolation Bias

Yang Guo * 1
1 Leeds University Business School, University of Leeds, Leeds, Britain

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 6, 75-79
Published 27 April 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yang Guo. Simple Review of Extrapolation Bias. AEMPS (2023) Vol. 6: 75-79. DOI: 10.54254/2754-1169/6/20220153.

Abstract

Extrapolation bias is a popular topic recently in economics and finance. Many researchers have become interested in this bias because it can explain many anomalies that a rational model cannot. This paper is a simple review of extrapolation bias, including its definition and bias. After reviewing past research on extrapolation, this paper selects a comprehensible definition, and three applications that can represent the recent research on extrapolation: the investor behavior model, the bubble model, and the house price model from three different top papers. After the review, it can be concluded that extrapolation bias has a wide applied range especially, in the financial market and asset pricing, and can explain many financial anomalies.

Keywords

behavior economy, behavior finance, extrapolation

References

1. Cassella S, Gulen H. Extrapolation Bias and the Predictability of Stock Returns by Price-Scaled Variables. The Review of Financial Studies. 2018;31(11):4345-4397. doi:10.1093/rfs/hhx139

2. Greenwood R, Shleifer A. Expectations of Returns and Expected Returns. The Review of Financial Studies. 2014;27(3):714-746. doi:10.1093/rfs/hht082

3. Fuster A, Laibson D, Mendel B. Natural Expectations and Macroeconomic Fluctuations. Journal of Economic Perspectives. 2010;24(4):67-84. doi:10/fqgg5w

4. Barberis N, Greenwood R, Jin L, Shleifer A. X-CAPM: An extrapolative capital asset pricing model. Journal of Financial Economics. 2015;115(1):1-24. doi:10.1016/j.jfineco.2014.08.007

5. Glaeser EL, Nathanson CG. An extrapolative model of house price dynamics. Journal of Financial Economics. 2017;126(1):147-170. doi:10.1016/j.jfineco.2017.06.012

6. He W, Shen J. Investor Extrapolation and Expected Returns. Journal of Behavioral Finance. 2010;11:150-160. doi:10.1080/15427560.2010.507164

7. Giglio S, Kelly B. Excess Volatility: Beyond Discount Rates*. The Quarterly Journal of Economics. 2018;133(1):71-127. doi:10.1093/qje/qjx034

8. Barberis N, Jin L. Model-free and Model-based Learning as Joint Drivers of Investor Behavior. Working Paper.:56.

9. Jin LJ, Sui P. Asset pricing with return extrapolation. Journal of Financial Economics. 2022;145(2, Part A):273-295. doi:10.1016/j.jfineco.2021.10.009

10. Barberis N. Chapter 2 - Psychology-Based Models of Asset Prices and Trading Volume. Handbook of Behavioral Economics: Applications and Foundations 1. Vol 1. Handbook of Behavioral Economics - Foundations and Applications 1. North-Holland; 2018:79-175. doi:10.1016/bs.hesbe.2018.07.001

11. Daniel K. Thinking, fast and slow. Published online 2017.

12. Barberis N, Greenwood R, Jin L, Shleifer A. Extrapolation and bubbles. Journal of Financial Economics. 2018;129(2):203-227. doi:10.1016/j.jfineco.2018.04.007

13. Lee S, Rivera A. Extrapolation Bias and Robust Dynamic Liquidity Management. Management Science. 2021;67(10):6421-6442. doi:10.1287/mnsc.2020.3765

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2022 International Conference on Financial Technology and Business Analysis (ICFTBA 2022), Part 2
ISBN (Print)
978-1-915371-23-2
ISBN (Online)
978-1-915371-24-9
Published Date
27 April 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/6/20220153
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated