scholarly journals BEHAVIOURAL BIASES IN BITCOIN TRADING

2019 ◽  
Vol 14 (2) ◽  
pp. 337-354
Author(s):  
Taofik Hidajat
Keyword(s):  
Conceptual Model ◽  
Loss Aversion ◽  
Psychological Factors ◽  
Confirmation Bias ◽  
Review Literature ◽  
Behavioural Finance ◽  
Research Gap ◽  
Gamblers Fallacy ◽  
Behavioral Perspective

This paper aims to propose some behavioural biases of trading in Bitcoin. It is review literature in the areas of behavioural finance that address issues related to Bitcoin to underpin the conceptual model. A conceptual model for understanding the behavioural bias that affects investing in cryptocurrency is proposed. The biases are herding, optimism, overconfidence, confirmation bias, loss aversion, and gamblers’ fallacy.  This paper ought to fill the research gap on cryptocurrency from the behavioral perspective. This paper implies that prices and Bitcoin transactions are more determined by psychological factors.

scholarly journals Influence of Organizational Capabilities on Innovative Climate and Talent Retention

2019 ◽  
Vol 8 (4) ◽  
pp. 9788-9792 ◽  
Keyword(s):  
Conceptual Model ◽  
Dynamic Environment ◽  
Business Environment ◽  
Review Literature ◽  
Organizational Capabilities ◽  
Global Changes ◽  
Innovative Climate ◽  
Talent Retention ◽  
Model Author ◽  
The Right

Organizations in the highly competitive world give attention towards providing a innovative climate to retain the talented employees in the organization. Organizational capabilities are emerged to respond to the global changes in the business environment. Organizational capabilities play an important role in managing and developing its resources to sustain in the highly dynamic environment. Building right organizational capabilities will help the organizations in retaining the right talent and creating an innovative climate in the organization. The paper aims to develop a conceptual model by linking organizational capabilities, innovative climate and talent retention. To frame a conceptual model author did an extensive review literature that revealed the relative dimensions under the variables of organizational capabilities, innovative climate and talent retention. The revealed dimensions used for framing a conceptual model to understand the influence of organizational capabilities on innovative climate and talent retention. The study revealed that to retain talented employees organizations must provide innovative climate and build right capabilities in the organization to sustain in the highly dynamic and competitive environment.

scholarly journals PENGAMBILAN KEPUTUSAN HUTANG PADA USAHA KECIL DAN MENENGAH (UKM) DI PULAU LOMBOK: SUATU PERSPEKTIF BEHAVIORAL FINANCE

2018 ◽  
Vol 7 (4) ◽  
Author(s):  
Siti Aisyah Hidayati ◽  
Embun Suryani ◽  
M Muhdin
Keyword(s):  
Decision Making ◽  
Behavioral Finance ◽  
Loss Aversion ◽  
Sampling Method ◽  
Confirmation Bias ◽  
Sampling Technique ◽  
Factor Group ◽  
Dominant Factor ◽  
The Third ◽  
Lombok Island

The purpose of this study is to find out what factors determine decision making of debt and what are the most dominant factors in  decision making of debt for SMEs on the island of Lombok.  This research is an explanatory research with quantitative approach. The population is all SMEs located in Lombok island. The sample is selected by Non probability sampling technique with a judgment sampling method where the SMEs that selected as samples are SMEs in handicraft industry of pottery and already exporting the products. Of the existing population, there are 25 (twenty five) SMEs that can be sampled. Respondents in this study are managers who also the owner of the SMEs. Data was collected using questionnaire. To achieve the research objectives, the data obtained will be processed according to needs using Factor Analysis.The results of this study indicate there are three groups of factors that determine  decision making of debt, namely the First Factor Group consists of: Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss. This factor is named Factor Overconfidence. The Second Factor Group consisted of Representativeness Variables, Avaibility Variables and Anchoring and Adjustment Variables. This factor is named the Avaibility Factor. The third factor group consists of Affect Variables and Aversion Loss Variables. This factor is named the Factor of Loss Aversion. The most dominant factor in determining debt decision making for SMEs in Lombok Island is the Overconfidence factor group consisting of Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss .

Loss aversion: a qualitative study in behavioural finance

2005 ◽  
Vol 31 (4) ◽  
pp. 46-56 ◽  
Author(s):  
Christiane Kleinübing Godoi ◽  
Rosilene Marcon ◽  
Anielson Barbosa daSilva
Keyword(s):  
Qualitative Study ◽  
Loss Aversion ◽  
Behavioural Finance

Why Do the Myths Persist?

2021 ◽  
pp. 157-165
Author(s):  
Mark Robert Rank ◽  
Lawrence M. Eppard ◽  
Heather E. Bullock
Keyword(s):  
Personality Traits ◽  
Strong Evidence ◽  
Psychological Factors ◽  
Confirmation Bias ◽  
System Justification ◽  
Political Actors ◽  
Sociological Factors ◽  
Distribution Of Resources

Chapter 19 reviews why, despite strong evidence to the contrary, the poverty myths continue to exist. Two sets of factors are examined—psychologically based factors and sociologically based factors. Psychological factors include particular personality traits, system justification, the use of stereotypes, confirmation bias, and attribution errors. Sociological factors include an understanding of who in society benefits from the existence of these myths. They include political actors, the affluent, and society as a whole. Summoning a newfound willingness to interrogate the role of individualism and meritocracy in shaping our attitudes toward each other and the distribution of resources is likely to prove especially difficult. Changing the paradigm toward one based on fact and reality moves us closer to effectively addressing and alleviating poverty.

scholarly journals Design Three Trading Strategies Based on Overconfidence, Loss Aversion, and Herd Behaviour

2021 ◽  
Vol 9 (4) ◽  
pp. 198
Author(s):  
Tzuling Liu
Keyword(s):  
Decision Making ◽  
Loss Aversion ◽  
Real World ◽  
Basic Assumption ◽  
Trading Strategies ◽  
Behavioural Finance ◽  
The Real ◽  
Herd Behaviour

<p>There is a basic assumption in the field of economics, which is people are rational. It might be taught in the first class of the principle of economics. However, this assumption could hardly be applied to the real world since people can be affected easily sometimes, especially when they cope with their assets. Thus, with combination of psychology and academic finance, behavioural finance aims to understand the effects influencing investors’ decision-making. This paper will discuss some effects which can be commonly seen in the real world, overconfidence, loss aversion, and herd behaviour included.</p>

scholarly journals CEO emotional bias and investment decision Bayesian Network method

2012 ◽  
Vol 9 (2) ◽  
pp. 239-256 ◽  
Author(s):  
Mohamed Ali Azouzi ◽  
Anis Jarboui
Keyword(s):  
Bayesian Network ◽  
Loss Aversion ◽  
Investment Decision ◽  
Investment Decisions ◽  
Behavioral Analysis ◽  
Central Hypothesis ◽  
Network Method ◽  
Emotional Bias ◽  
Investment Choices ◽  
Behavioral Perspective

This research examines the determinants of firms’ investment introducing a behavioral perspective that has received little attention in corporate finance literature. The following central hypothesis emerges from a set of recently developed theories: Investment decisions are influenced not only by their fundamentals but also depend on different factors. One factor is the biasness of any CEO to their investment, biasness depends on the cognition and emotions, because some leaders use them as heuristic for the investment decision instead of fundamentals. Keeping this in view, this paper shows how CEO emotional bias (optimism, loss aversion and overconfidence) effects the investment decisions. I will use Bayesian Network Method to examine this relation. Emotional bias has been measured by means of a questionnaire comprising several items. As for the selected sample, it has been composed of some100 Tunisian executives. Our results have revealed that the behavioral analysis of investment decision implies leader affected by behavioral biases (optimism, loss aversion, and overconfidence) adjusts its investment choices based on their ability to assess alternatives (optimism and overconfidence) and risk perception (loss aversion) to create of shareholder value and ensure its place at the head of the management team.

scholarly journals PENGAMBILAN KEPUTUSAN HUTANG PADA USAHA KECIL DAN MENENGAH (UKM) DI PULAU LOMBOK: SUATU PERSPEKTIF BEHAVIORAL FINANCE

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Siti Aisyah Hidayati ◽  
Embun Suryani ◽  
M Muhdin
Keyword(s):  
Decision Making ◽  
Behavioral Finance ◽  
Loss Aversion ◽  
Sampling Method ◽  
Confirmation Bias ◽  
Sampling Technique ◽  
Factor Group ◽  
Dominant Factor ◽  
The Third ◽  
Lombok Island

The purpose of this study is to find out what factors determine decision making of debt and what are the most dominant factors in  decision making of debt for SMEs on the island of Lombok.  This research is an explanatory research with quantitative approach. The population is all SMEs located in Lombok island. The sample is selected by Non probability sampling technique with a judgment sampling method where the SMEs that selected as samples are SMEs in handicraft industry of pottery and already exporting the products. Of the existing population, there are 25 (twenty five) SMEs that can be sampled. Respondents in this study are managers who also the owner of the SMEs. Data was collected using questionnaire. To achieve the research objectives, the data obtained will be processed according to needs using Factor Analysis.The results of this study indicate there are three groups of factors that determine  decision making of debt, namely the First Factor Group consists of: Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss. This factor is named Factor Overconfidence. The Second Factor Group consisted of Representativeness Variables, Avaibility Variables and Anchoring and Adjustment Variables. This factor is named the Avaibility Factor. The third factor group consists of Affect Variables and Aversion Loss Variables. This factor is named the Factor of Loss Aversion. The most dominant factor in determining debt decision making for SMEs in Lombok Island is the Overconfidence factor group consisting of Variable Excessive Optimism, Variable Overconfidence, Variable Confirmation Bias and Variable Aversion to sure loss .Keyword:Behavioral finance, decision making of debt, SMEs

A Conceptual Model for Integrating Athletes’ Needs and Sport Demands in the Development of Competitive Mental Preparation Strategies

1995 ◽  
Vol 9 (3) ◽  
pp. 339-357 ◽  
Author(s):  
Jim Taylor
Keyword(s):  
Conceptual Model ◽  
Psychological Factors ◽  
Objective Assessment ◽  
Detailed Knowledge ◽  
Complete Understanding ◽  
Mental Preparation ◽  
Mental Factor ◽  
Critical Aspects

This article provides a conceptual model that describes several critical aspects in the development of competitive mental preparation strategies: (a) a complete understanding of the specific needs of the athlete, (b) detailed knowledge of the particular demands of the sport, (c) integration of this information to identify the most critical psychological factors that will affect performance, and (d) a the development of the most effective competitive mental preparation strategies for the specific athlete. This discussion is presented in several stages. First, gaining an in-depth understanding of an athlete with the use of subjective and objective assessment is described. Second, the critical physical, technical, and logistical differences between sports are delineated. Third, the roles that key psychological factors play and what priority they should be given in each sport are discussed. Fourth, strategies that are most suitable to each mental factor within each sport are identified.

scholarly journals Fear, Populism, and the Geopolitical Landscape

2018 ◽  
Vol 9 (3) ◽  
pp. 285-298 ◽  
Author(s):  
Martin Obschonka ◽  
Michael Stuetzer ◽  
Peter J. Rentfrow ◽  
Neil Lee ◽  
Jeff Potter ◽  
...  
Keyword(s):  
United States ◽  
Loss Aversion ◽  
Psychological Factors ◽  
Voting Behavior ◽  
The United States ◽  
Anxiety And Depression ◽  
Personality Dimension ◽  
Industrial Heritage ◽  
The United Kingdom ◽  
Sleeper Effect

Two recent electoral results—Donald Trump’s election as U.S. president and the UK’s Brexit vote—have reignited debate on the psychological factors underlying voting behavior. Both campaigns promoted themes of fear, lost pride, and loss aversion, which are relevant to the personality dimension of neuroticism, a construct previously not associated with voting behavior. To that end, we investigate whether regional prevalence of neurotic personality traits (neuroticism, anxiety, and depression) predicted voting behavior in the United States ( N = 3,167,041) and the United Kingdom ( N = 417,217), comparing these effects with previous models, which have emphasized the roles of openness and conscientiousness. Neurotic traits positively predicted share of Brexit and Trump votes, and Trump gains from Romney. Many of these effects persisted in additional robustness tests controlling for regional industrial heritage, political attitude, and socioeconomic features, particularly in the United States. The “sleeper effect” of neurotic traits may profoundly impact the geopolitical landscape.

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