Abstract

Purpose: This article analyzes the influence of familiarity bias on respondents’ decision-making process, using results from online experiments. Design/methodology/approach: A total of 255 research participants from post-Soviet countries completed 510 online tests that were presented in the form of investment games. In the games, the respondents were allowed to sell, buy, or hold two types of asset portfolios: familiar and unfamiliar assets. Findings: Holders of portfolios with familiar assets were 1.34 times more likely to be persistent in selling winners and holding losers and 1.10 times more likely to be persistent in buying fallen assets than holders of unfamiliar portfolios. Moreover, respondents who managed familiar assets tended to generate terminal result distributions with a kurtosis that was 27.8% higher than the distributions of those managing unfamiliar assets. Originality: Several academic studies have examined familiarity bias, the disposition effect, the positive feedback trading of individual investors, and risk-seeking trading; however, they investigated these topics separately. In the current study, we therefore created an online experiment to identify new aspects of investor behavior.

Highlights

  • Previous studies have focused on the impact of familiarity bias on the disposition effect (Bulipopova et al 2014)

  • This paper argues that the following individual investor sentiment anomalies trigger familiarity bias:

  • We found that reluctance to realize losses was 1.34 times higher among holders of the familiar portfolios compared to those with unfamiliar portfolios: AVG (PGR − Proportion of Losses Realized (PLR)) was

Read more

Summary

Introduction

Previous studies have focused on the impact of familiarity bias on the disposition effect (Bulipopova et al 2014). The respondents in these studies only succeeded in selling and holding assets that were enough to measure loss aversion. We created an online experiment to identify new aspects of investor behavior. The experiment design and methodology are explained later in this paper. This section discusses the essentials of behavioral finance and analyzes other aspects of the investor behavior under investigation

Objectives
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call