2017
DOI: 10.1108/md-10-2016-0725
|View full text |Cite
|
Sign up to set email alerts
|

The role of house money effect and availability heuristic in investor behavior

Abstract: Purpose The house money effect is proposed to describe that people appear to consider large or unexpected wealth gains to be distinct from the rest of their wealth, and are thus more willing to gamble with such gains than they ordinarily would be. On the other hand, the availability heuristic describes that people tend to have a cognitive and systematic bias due to their reliance on easily available or associational information. The purpose of this paper is to employ these behavioral perspectives in an empiric… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
4
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(12 citation statements)
references
References 51 publications
0
4
0
Order By: Relevance
“…However, when availability is not associated with the objective probability of the event, a systematic judgment error occurs. Factors that affect the availability heuristic include biases based on retrievability of instances, biases based on the effectiveness of a search set, biases based on imaginability and illusory correlation (Chen et al , 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…However, when availability is not associated with the objective probability of the event, a systematic judgment error occurs. Factors that affect the availability heuristic include biases based on retrievability of instances, biases based on the effectiveness of a search set, biases based on imaginability and illusory correlation (Chen et al , 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Decision making in the banking industry has a high likelihood of forming biases due to heuristics in decision making because of uncertainty, complexity, ambiguity of policy goals and fallibility of information (Pousa et al , 2017). In particular, considering the ripple effect of a financial policy, it is crucial to conduct systematic research on whether heuristics and biases exist in the decision making processes of the policy makers who oversee financial decision making (Chen et al , 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In particular, the use of foreign languages influences the perception of the financial terms "e.g., the fair value" in the IFRS, which conditions communication policies and language strategies (Hellmann & Tsunogay, 2021). The stream is associated with a broad debate concerning the choices of investors in the stock market, sometimes driven by rationality (asset-pricing models, accrual approach to obtain a positive sentiment of investors, investment choice linked to the bonus culture) (Park, 2018;Nasiri et al, 2021;Chen et al, 2017) and other times by irrational logic based instead on: overconfidence, regret aversion, anchoring biases, loss aversion and anchoring, representativeness, gambler's fallacy, and mental accounting, mental accounting and availability biases (Isidore & Christie, 2018). Mental accounting refers to behavioral biases and investment attitudes that, during COVID-19, is conditioned by hindsight, overconfidence and self-attribution, representativeness, and anchoring to influence trading activity and recommendation intentions (Talwar et al, 2021).…”
Section: Single-authored Docs 55mentioning
confidence: 99%
“…One study that is often cited in research on availability heuristics is that of Ross and Sicoly [7], who found the egocentric perception of availability plays an important role in judging the contributions of joint products. Some studies illustrate how the availability heuristic affects the behaviors of financial investors [8][9][10]. Some studies highlight the impact of availability heuristics on risk perception and on the assessment of precaution [11][12][13].…”
Section: Introductionmentioning
confidence: 99%