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Purpose – To investigate the potential future role of information delivery in terms of reducing transport-related emissions. The assumed response of travellers to information and the notions of content and context are provided, together with factors that can determine an individual's propensity to seek and engage with travel information.

Methodology/approach – A review of information use, the behavioural stages of change and context design is undertaken, incorporating a research case study in the use of framing.

Findings – Recent theoretical and empirical insights into behavioural change provide new insights into the role of information in reducing transport-related emissions. Traveller information offers many benefits to the user and could be influential in affecting travel behaviour change, although there are socio-psychological factors outside the control of information service designers that also need to be considered, such as the ‘stage of change’ people are at in relation to a change in behaviour.

Originality/value – The chapter examines how travel information could go beyond the provision of trip choice data and incorporate contextual elements to make it more effective. Concepts related to the Transtheoretical Model (stages of change) and the latest thinking in behavioural economics are discussed in relation to an increase in the likelihood of environmental travel alternatives being considered and chosen.

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 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 purpose of this paper is to examine the impact of Turkish individual investor sentiment on the Istanbul Stock Exchange (ISE) and to investigate whether investor sentiment, stock return and volatility in Turkey are related.

This study used the monthly Turkish Consumer Confidence Index, published by the Turkish Statistical Institute, as a proxy for individual investor sentiments. First, Turkish market fundamentals were regressed on investor sentiments in order to capture the effects of macroeconomic risk factors on investor sentiments. Then, it used the impulse response functions (IRFs) generated from the vector autoregression (VAR) model to examine the effect of unanticipated movements in Turkish investor sentiment to both stock returns and volatility of the ISE.

The generalized IRFs from VAR shows that unexpected changes in rational and irrational investor sentiment have a significant positive impact on ISE returns. This suggests that a positive investor sentiment tends to increase ISE returns. The study also documents that unanticipated increase in the rational component of Turkish investor sentiment has a negative significant effect on ISE volatility. This might indicate that investors have optimistic expectations of the economy overall with respect to market fundamentals in Turkey. This optimism can result in creating positive expectations, reducing uncertainty, and reducing the volatility of stock market returns.

The study was applied only for the period 2004-2010 on the ISE stock returns and volatility.

Regardless, investors should know the impact of irrational investor sentiments while establishing investment strategies. The results of this study may also help policy makers stabilize investor sentiments to reduce stock market volatility and uncertainty.

This paper adds to the limited understanding of investor sentiment impact on stock return and volatility in an emerging market context.

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.

This paper examines the effect of rational and irrational investor sentiment on the stock return and volatility of US auto, finance, food, oil and utility industries.

The American Association of Individual Investors Index (AAII) is used as a proxy for US individual investor sentiment. The US market fundamentals are regressed on investor sentiment in order to capture the effect of macroeconomic risk factors on investor sentiment. Then impulse response functions (IRFs) are generated from a VAR model to investigate the effect of unanticipated movements in US investor sentiment on both industry‐specific stock return and volatility.

The results show a significant impact of investor sentiment on stock return and volatility in all the industries. We find that the positive rational component of US individual investor sentiment tends to increase the stock return in these industries. We also document that unanticipated increase in the rational component of US individual investor sentiment has a significant negative impact only on the industry volatilities of US auto and finance industries.

The results are based only on the 1999 – 2010 US industry‐specific stock return and volatility data and are confined to these industries.

The findings of this paper can help investors to improve their asset return generating models by incorporating investor sentiment. The findings can also help policymakers to design policies that stabilize sentiment and reduce volatility and uncertainty in the stock markets.

This paper adds to the growing literature on behavioral finance by filling a gap and addressing the impact of investor sentiment in the various US industries.

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.

The purpose of this paper is to examine the relative effects of rational and quasi-rational sentiments of individual and institutional investors on a set of smart beta fund returns. The magnitudes of the impacts of institutional investor sentiments are greater than those of individual investor sentiments. In addition, both rational and quasi-rational sentiments of individual and institutional investors have significant impacts on smart beta fund returns. The magnitudes of the impacts of quasi-rational sentiments are greater than those of the rational sentiments for both types of investors (quasi-rational sentiments of institutional investors have the maximum impact). These results are consistent with the arguments that professional investors consider the sentiments of individual investors as contrarian leading indicators which are mainly driven by noise while conform the sentiments of institutional investors which are driven by more rational factors. A majority of smart beta funds in the sample outperform the S&P500 returns in the short term but fail to consistently beat the market. The authors find evidence that smart beta funds with consistently high returns are relatively less (more) driven by individual (institutional) investor sentiments. Overall, the authors argue that smart beta funds appear to follow quasi-rational sentiments of both individual and institutional investors that are not rooted in economic fundamentals.

The results of the impulse functions generated from a multivariate model suggest that the smart beta fund returns are negatively (positively) impacted by individual (institutional) investor sentiments.

The magnitudes of the impacts of institutional investor sentiments are greater than those of individual investor sentiments. In addition, both rational and quasi-rational sentiments of individual and institutional investors have significant impacts on smart beta fund returns. The magnitudes of the impacts of quasi-rational sentiments are greater than those of the rational sentiments for both types of investors (quasi-rational sentiments of institutional investors have the maximum impact).

These results are consistent with the arguments that professional investors consider the sentiments of individual investors as contrarian leading indicators which are mainly driven by noise while conform the sentiments of institutional investors which are driven by more rational factors. A majority of smart beta funds in the sample outperform the S&P500 returns in the short term but fail to consistently beat the market. The authors find evidence that smart beta funds with consistently high returns are relatively less (more) driven by individual (institutional) investor sentiments. Overall, the authors argue that smart beta funds appear to follow quasi-rational sentiments of both individual and institutional investors that are not rooted in economic fundamentals.

The purpose of this paper is to examine the temporal impact of individual and institutional investor sentiment on sin stock returns.

The authors estimate vector autoregressive models (VARs) to assess the dynamic relationships amongst pure sin returns and both types of investor sentiment. The justification for estimating VARs is that it allows one to study the potential influence that shocks (i.e. innovations) in individual and institutional investor sentiment might have on pure sin returns over time. Sin stock returns are separated into a market-based and pure sin component. Additionally, the authors split both measures of investor sentiment into rational- and irrational-based components.

This study finds that shocks to both individual and institutional rational-based sentiment positively influence pure sin returns for up to four months. However, irrational-based shocks have a positive, weaker and insignificant effect on pure sin returns. In addition, the results for the pure sin portfolio are compared to the S&P 500 and a comparables portfolio. The results show that sin stocks are less responsive than the S&P and the comparables portfolio to shocks in investor sentiment.

This study addresses some of the limitations found in the only prior study of sin stocks and investor sentiment (Perez Liston, 2016). Specially, this study investigates the link between sin stocks and sentiment in a dynamic context and also focuses the analysis on pure sin returns.

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.