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The purpose of this paper is to investigate to what extent hedge funds are subject to irrationality in their investment decisions. The authors advance the hypothesis that irrational behavior affects hedge fund returns despite their sophistication and active management style.

The irrational component may follow a pattern consistent with the observed hedge fund returns yet far distant from market fundamentals. The authors include factors beyond the original version of capital asset pricing model such as Fama and French and Carhart models, as well as less stringent models, such as APT and Fung and Hsieh, to test whether these models are able to capture the irrational nature of the residuals.

After finding that institutional irrational sentiments play a role in hedge fund returns, we note that the returns are not completely shielded against irrational trading; however, hedge fund returns appear to be affected only by the irrational component derived from institutional trading rather than that emanated from individuals.

Different sources of irrationality may have asymmetric effects on hedge fund returns. Using a different set of sophisticated investors along with different market sentiment proxies may yield different results.

The authors argue that investors can use irrational beta to gauge the extent of institutional irrational sentiments prevailing in markets for the purpose of re-adjusting their portfolios and therefore use the betas as an early warning sign. It can also guide investors in avoiding funds and strategies that display greater irrational behavior.

The study advance the idea that the unexpected, hereafter irrational, component may follow a pattern consistent with the observed hedge fund returns, yet different from market fundamentals.

The authors study the explanatory power of investor rationality and irrationality for value and momentum portfolios. We also examine the relationships during financial crisis events, namely, the US subprime mortgage crisis (2007–2009) and the European debt crisis (2011–2013).

This study examines the influence of investors’ rationality and irrationality on the US stock market, using the multiple linear regression model and the stepwise regression model. Technically, the stepwise regression uses the machine-learning technique, with specific testing methods — forward selection, backward selection and stepwise selection — to find the best-fit model, according to Akaike’s Information Criterion (AIC). Thus, in this study, we will show the best model, as tested by the stepwise regression model.

Our empirical results contribute to the importance of reasons and emotions for stock-market returns and conclude that rationality and irrationality simultaneously explain the value and momentum portfolios, as well as the ETF portfolios. Also, the rational and irrational explanatory powers differ, depending on portfolios and different periods. Rational factors usually explain the volatility of the return to a greater extent than irrational factors. Moreover, during a financial crisis, the irrational factors remarkably increase their importance in explaining returns, especially for the ETF portfolios.

We expect this study’s contribution will show not only academic contribution but also benefit many stakeholders in the financial market. Investors and traders can identify various irrational factors of trading — for example, taking a long position during the panic in the market following the indicators in the models. Managers also reconsider the cost of the company by adding irrational factors when computing the equity’s expected return. Similarly, stock exchanges can adequately adjust their circuit breaker during a pessimistic-investor period. Finally, regulators can evaluate a complete picture of the stock market by adding irrational factors into their considerations.

The purpose of this paper is to examine the debate on whether psychology affects asset prices using agent-based modeling.

The authors set up three simulation regimes where the first regime contains fundamental investors who invest based on the mean-variance framework. The second regime includes purely irrational investors who invest based on behavioral biases. The third regime combines the two types of investors. The authors test whether the return properties from regime 3 converge to that of regime 1 or 2.

Results suggest that the type of irrationality affects return properties in different ways. Irrational investors who are introspective in their irrationality, only examining their performance and deficiencies, do not have much of a systematic effect on stock returns when combined with rational investors. However, irrational investors that aggregate information in an irrational manner have a systematic effect when combined with rational investors.

Research implication of using simulation analysis is that the results need to be verified via other methods such as empirical and/or experimental analysis.

Practical implications of the research is that policy makers can look for factors that investors use to aggregate to better understand the movement of financial prices and ignore other factors.

Social implication is that mass psychology impacts financial prices.

No other paper has used agent-based/behavioral analysis to better understand how different types of behavior may impact financial prices in different ways.

This paper attempts to provide novel approaches and tools for the analysis and measurement of stock bubbles.

The study is based on the perspective of a generalized virtual economy and the circulation process of accumulation strengthening and exclusion in the stock noise and is based on the symmetric chain model of the evolutionary game of combination of stock markets. Based on the stable ratio of the rational and irrational investors and the asymptotically stable strategy of the model in the two cases, the paper uses the improved classic model of noise trading (DSSW) to calculate the irrational bubbles on the Shanghai stock market.

The paper shows that the more irrational investors are, the higher the irrational bubbles are.

The method exposed in the paper can be used to study the formation mechanism of the stock market bubble, to analyze the impact of investors' behaviours, to measure the size of irrational bubbles and to put forward some reasonable policy recommendations and preventive measures.

The paper succeeds in pointing out a new stock market's irrational bubble calculation model on the basis of evolutionary game chain structure, and thus measures the size of the Shanghai stock market bubble and makes some tentative research and discussion about the evolution law of the stock market's irrational bubble.

Most previous studies of organizational change and resistance take an organizational perspective as opposed to an individual perspective. This paper investigates the relationship between irrational ideas, emotion and resistance to change. Nine organizations implementing major change were surveyed providing data from 615 respondents. The analysis showed that irrational ideas are positively correlated with behavioural intentions to resist change. Irrational ideas and emotion together explain 44 percent of the variance in intentions to resist. Also outlines an intervention strategy to guide management in developing a method for approaching resistance when implementing major change.

Investors’ fear can be rational, emanating from the natural dynamics of economic fundamentals, or it can be quasi rational and not attributable to any known risk factors. Using VIX from Chicago Board Options Exchange as a proxy for investors’ fear, the purpose of this paper is to consider the following research questions: to what extent does noise play a role in the formation of investors’ fear? To what extent is the impact of fear on S&P 500 index returns driven by rational reactions to new information vs fear induced by noise in stock market returns? To what extent do S&P 500 index returns display asymmetric behavior in response to investor’s rational and quasi rational fear?

In a two-step process, the authors first decompose investors’ fear into its rational and irrational components by generating two additional variables representing fear induced by rational expectations and fear due to noise. The authors then estimate a three-vector autoregression (VAR) model to examine their relative impact on S&P 500 returns.

Impulse responses generated from a 13-variable VAR model show that investors’ fear is driven by risk factors to some extent, and this extent is well captured by the Fama and French three-factor and the Carhart four-factor models. Specifically, investors’ fear is negatively related to the market risk premium, negatively related to the premium between value and growth stocks, and positively related to momentum. The magnitude and duration of the impact of the market risk premium is almost twice that of the impact of the premium on value stocks and the momentum of investors’ fear. However, almost 90 percent of the movement in investors’ fear is not attributable to the 12 risk factors chosen in this study and thus may be largely irrational in nature. The impulse responses suggest that both rational and irrational fear have significant negative effects on market returns. Moreover, the effects are asymmetric on S&P 500 index returns wherein irrational upturns in fear have a greater impact than downturns. In addition, the component of investors’ fear driven by irrationality or noise has more than twice the impact on market returns in terms of magnitude and duration than the impact of the rational component of investors’ fear.

The results are consistent with the view that one of the most important drivers of stock market returns is irrational fear that is not rooted in economic fundamentals.

The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.

Adopting the theoretical framework of Rational Emotive Behavior Therapy (REBT; Ellis, 1962, 1994), we examine the cognitive antecedents of functional behavior and adaptive emotions as indicators of emotional intelligence (EI) and test central assumptions of REBT. In an extension of REBT, we posit that adaptive emotions resulting from rational cognitions reflect more EI than maladaptive emotions, which result from irrational cognitions, because the former lead to functional behavior. The results of the first study using organizational scenarios in an experimental design confirm central assumptions of REBT and support our hypotheses. In a second correlational study we replicate the connection between rational cognitions and EI by measuring real person data using psychometric scales. Both studies indicate that irrational attitudes result in reduced job satisfaction.

The innovative process of new product development remains unique within most organizations. This uniqueness stems from the requirements of the new product development manager to grapple with both the universe of emerging technologies from which a new feature or improvement must be found and to simultaneously maintain a constant awareness of the requirements of an ever-changing customer base. Amongst all of this uncertainty, there is still a time when new product development managers choose to ignore the warning signals that a project is failing and continue to commit resources. This paper refers to this as irrational commitment. This paper aims to examine the uncertainty of new product development and the reasons for this irrational commitment to failed projects.

The paper used a structured systematic review of literature to identify the most common types of irrational commitment in new product development and their impact on the corporation.

The paper provides insights into the causes and effects of management irrationally committing to new product development projects that are doomed to failure. It suggests that the three major areas of knowledge that need to be better integrated into the decision-making process are technology trends, marketing knowledge and the capabilities of the company itself.

Because of the chosen research approach of using a systematic review of literature, primary research needs to be conducted in the future to validate and refine the findings of the paper.

The paper provides leadership with guidelines to avoid irrationally committing to failed new product development efforts.

This paper adds to the literature on innovation systems.

The field of cognitive-behavioural therapy contains many different theoretical models of psychopathology, with each discipline ascribing greater emphasis to a particular cognitive process or organisation of beliefs. This paper seeks to propose a method of integrating the two most widely practiced and researched schools of CBT; Beck ' s cognitive therapy (CT) and Ellis ' s rational emotive behaviour therapy (REBT).

Although there exist a large degree of similarity between the two therapeutic approaches, the two models do differ in relation to their respective hypothesises regarding the core psychological variable in psychopathology. Cognitive theory hypothesises that negative representational beliefs are of central importance whereas rational emotive behaviour theory hypothesises that negative evaluative demands lie at the core of psychological disturbance. This paper evaluates these competing predictions on the basis of the available empirical literature.

The empirical literature provides greater support for the organisation and interrelations of the irrational beliefs proposed by REBT theory over CT theory, however the research data clearly indicate the importance of the cognitive variables stressed by CT theory in the pathogenesis of psychological distress. Based on the available evidence an integrated CBT model which incorporates elements of both CT and REBT theory is presented. It is proposed that this integrated model can serve as the stepping-stone toward a larger, single, coherent CBT model of psychopathology.

Few empirical studies have directly compared the competing predictions of CT and REBT theory. If future research supports the findings presented in this paper, the proposed model can serve as a template for the development of a unified, general-CBT theory of psychopathology.

The integrated model presented in this paper can serve as a guiding theoretical model for therapeutic practice which takes into account therapeutic methods from both CT and REBT.

This paper proposes the first theoretical model which incorporates the competing theoretical conceptualizations of psychological distress from the two main schools of CBT.