UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404178


Registration ID:
536202

Page Number

b689-b708

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Title

A STUDY ON "BEHAVIORAL BIASES INFLUENCING INVESTMENT DECISIONS IN CRYPTOCURRENCIES."

Abstract

The article points out that cryptocurrency investment has experienced significant growth in popularity, attracting a variety of investors looking to take advantage of digital assets such as Bitcoin. However, the market is subjected to biases that can affect investment decisions and significantly impact the results. Understanding this aspect of behavior among cryptocurrency investors of different demographic profiles is essential to understand how this biasness influence decision making. Demographic parameters such as age, gender, education level, and investment experience can significantly shape people’s approach to cryptocurrency investment. Comparative analysis of differences between different demographic profiles can reveal the prevalence of bias in specific groups and uncover factors that contribute to this perception. For example, young investors may exhibit different biases in comparison to older investors, and those with financial backgrounds may approach investment differently than those with zero or limited experience. One goal of this study is to determine how demographic parameters affect behavioral bias among Bitcoin investors. By examining factors such as age, gender, confidence, emotions, fear, current affairs, education, and experience, researchers can determine patterns and trends that indicate the influence of demographics on investor behavior. Young investors may be more prone to attitudes such as herd mentality, overconfidence, or impulsive decision making while on the other hand older investors may exhibit biases associated with loss or regret. Another goal is to identify the key behavioral factors that most influence cryptocurrency investment decisions. Identifying these aspects can provide insight into the psychological factors that drive investor behavior. Common factors that influence investment decisions include confirmation bias, anchor bias, and availability bias, as well as emotional factors such as fear of missing out also commonly known as FOMO. Through a comprehensive analysis of behavioral aspects among cryptocurrency investors, this study aims to uncover the causes of these aspects and their impact on investment. By understanding how demographic factors influence investor behavior and identifying the most influential factors in cryptocurrency investment, researchers can help investors make more informed decisions. In addition, this research can contribute to the development of strategies to reduce volatility in the cryptocurrency market and increase investment results.

Key Words

Cryptocurrency, Investment Behavior, Herding Behavior

Cite This Article

"A STUDY ON "BEHAVIORAL BIASES INFLUENCING INVESTMENT DECISIONS IN CRYPTOCURRENCIES."", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.b689-b708, April-2024, Available :http://www.jetir.org/papers/JETIR2404178.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A STUDY ON "BEHAVIORAL BIASES INFLUENCING INVESTMENT DECISIONS IN CRYPTOCURRENCIES."", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppb689-b708, April-2024, Available at : http://www.jetir.org/papers/JETIR2404178.pdf

Publication Details

Published Paper ID: JETIR2404178
Registration ID: 536202
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: b689-b708
Country: Mumbai , Maharashtra , India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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