Investors’ overconfidence and regret aversion lead to behavioral biases, such as over-reaction、 under-reaction and disposition effect. By constructing a numerical simulation model, this paper shows that, return distributions under the behavioral biases have higher peaks and fatter tails, and they are skew to left with the left tails thicker than the right ones, compared with normal distribution...

PURPOSE OF REVIEW There has been a marked increase in the study of cognitive biases in schizophrenia, which has in part been stimulated by encouraging results with cognitive-behavioral interventions in the disorder. We summarize new evidence on cognitive biases thought to trigger or maintain positive symptoms in schizophrenia and present a new therapeutic intervention. RECENT FINDINGS Recent ...

This study explored the relationship between psychological traits, demographics and financial behavioral biases for individual investors in Taiwan stock market. By using questionnaire survey method conducted in 2010, there are 554 valid convenient samples collected to examine the determinants of three types of behavioral biases. Based on literature review, two hypothesized models are constructe...

Most operations models assume that individuals have perfect beliefs about random variables or stochastic processes. In reality, however, individuals make judgment errors and are subject to predictable biases. We leverage two fundamental psychological principles bounded cognition and representativeness to model individuals' forecasting errors and biases in a way that is portable to operations mo...

The evolution of information during the COVID-19 pandemic has altered how investors invest. Investments can be made easily on a variety digital platforms that provide easy access to in investment decisions. Information media is expanding promote decision making, boosting rise and development investor financial behavior bias. This study attempts fill knowledge gap behavioral finance by concentra...

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the co...

The chapter investigates how model and behavioral learning can be improved in an anticipatory learning classifier system by biasing exploration. First, the applied system ACS2 is explained. Next, an overview over the possibilities of applying exploration biases in an anticipatory learning classifier system and specifically ACS2 is provided. In ACS2, a recency bias termed action delay bias as we...

Evolutionary educational psychology is the study of the relation between evolved systems of folk knowledge and inferential and attributional biases as these relate to academic learning in modern society. Following discussion and illustration of the mechanisms of natural selection and their application to human motivational, cognitive, and behavioral evolution, the basic premises and principles ...

This article introduces the notion of genetic essentialist biases: cognitive biases associated with essentialist thinking that are elicited when people encounter arguments that genes are relevant for a behavior, condition, or social group. Learning about genetic attributions for various human conditions leads to a particular set of thoughts regarding those conditions: they are more likely to be...