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Behavioral finance proposes that psychology of the individual plays a vital role in investment decisions. Therefore, this study aims to examine the influence of one of the important disciplines of psychology, i.e. personality on investment decision-making by incorporating financial satisfaction as an intervening variable and gender as a moderator.

The data of 406 valid responses were collected through structured questionnaires from individual investors of Indian stock market and analyzed using structural equation modeling. Several invariance tests were also conducted to perform the multigroup analysis of gender on the mediated model.

The results revealed that extraversion, agreeableness, conscientiousness and neuroticism significantly influence investment decision-making through financial satisfaction. While financial satisfaction significantly mediates the indirect relationships between personality traits and investment decision-making for both males and females, no significant differences among males and females were found in the mediated model.

The current study covers a limited geographical area of North India. In addition to this, it is cross-sectional in nature and incorporates only limited factors for predicting investment decisions.

The study possesses numerous significant implications for financial practitioners, advisors, investors, academicians and researchers in the field of behavioral finance.

This study suggests a moderated mediation approach, which incorporates financial satisfaction as a mediator and gender as a moderator. To the best of the authors’ knowledge, so far, no study has been conducted in this context, and it will enhance the understanding of investment decisions of individual investors.

The purpose of this paper is to investigate a unique sample of lottery-like stocks and contextualize their short-run price behavior with respect to behavioral principles.

The authors conduct a short-run event-study of the abnormal returns for stock market investments in Australian small-cap oil and gas (O & G) explorers centered on the drilling commencement (spudding) of 157 wildcat oil or gas wells drilled between January 2000 and June 2010.

Small-cap stock market investments associated with newly spudded wildcat O & G wells are negative NPV gambles rather than fair (zero NPV) investments. Once a wildcat well is spudded, the 30-day expected abnormal return is 6-8 percent: wealth-maximizing stockholders are advised to sell upon news of spudding, but gamblers may wish to hold on for the chance of a 10.6 percent 30-day average abnormal return (if the well is not plugged and abandoned). In the lead-up to each gamble the authors observe a significant pre-spudding stock price run-up on average, perhaps indicative of positively affected investors aroused by an easily imagined successful wildcat gusher as per evidence on the influence of image and affect on investors’ decisions (MacGregor et al., 2000; Loewenstein et al., 2001; Rottenstreich and Hsee, 2001; Peterson, 2002).

The wildcat drilling events considered in this paper are lottery-like by nature, and spudding represents the distinct moment when the gamble is unambiguously on, following shortly on from which investors either strike it lucky or strike out. The specifically small-cap wildcatters are typically heavily vested in one well at a time, therefore the sample stocks are uniquely lottery like. This differs from other studies which infer the lottery-like nature of their sample stocks from characteristics such as price and idiosyncratic volatility.

The paper aims to present several methods that were developed, evaluated and finally used as part of a 3D electronic tailor especially adapted to the clothing industry.

An experimental top down approach taking care of building a system adapted to the constraints of the textile industry was used. The research was to the rapidity, the robustness and the comfort of the future system during the development cycle.

A robust and efficient method for digitizing a human body in 3D that is usable for the measurement process with duration and accuracy adapted to the domain of textile industry.

The research is bound to many constraints. Some are expressed by the customers of the electronic tailor, some depend on the manufacturing process of the clothes and of course, some depend on economic requirements. Of course, the system is not fixed because it must be adapted and improved to be able to follow the evolution of the manufacturing process.

This research permitted the creation of a marketed product improved for a few years by successfully measuring thousands of people.

The paper demonstrates the usefulness of choosing a digitizing process. It shows the importance of keeping in mind the whole digitizing process for making the mesh generation and the measurements taken. The resulting mannequin proves that the process works well.

This study aims to analyse the impact of the big five personality traits on the financial risk tolerance of individuals. Furthermore, it also examines the differences in personality traits and financial risk tolerance across four generations: baby boomers, Generation X, millennials and Generation Z.

The data constituted 869 responses from Indian individuals, collected using a self-administered structured questionnaire using a convenience sampling technique.

Structural equation modelling analysis showed that openness to experience, extraversion and neuroticism had a significant impact on financial risk tolerance. Multivariate analysis revealed the role of specific personality traits in predicting the financial risk tolerance of generational cohorts. Mean difference showed that millennials and Generation Z had the greatest risk tolerance, whereas the tolerance levels were lower for Generation X and baby boomers.

This research provides insights into the role of personality on financial risk-taking among generational cohorts in India. Thus, these results cannot be generalised for other risk-taking domains or outside the Indian context.

This study’s results align with the pulse rate hypothesis of generational theory and contribute to the growing field of behavioural economics and finance. It provides a perspective of the emerging economy of India, where behavioural finance studies are still at a nascent stage.

The purpose of this paper is to examine the relationship between psychopathy and its underlying traits and financial risk and time preferences.

The authors measure risk and time preferences using both the cumulative prospect theory and quasi-hyperbolic time discounting in a sample of business majors. The Psychopathic Personality Inventory – Revised test is then used to measure the global psychopathy and eight primary and two secondary traits of the sample of business majors. The measures of psychopathy are used as explanatory variables to model variation in subjects’ time and risk preferences.

The authors find that the overall score on the continuum of psychopathy is positively related to the linearity of the cumulative prospective utility function. A breakdown of psychopathy into its secondary and primary traits shows a more complex relation. For example, the secondary trait of self-centered impulsivity is statistically significant in models of financial risk preference determinants under the cumulative prospect theory. The authors find that the primary traits of self-centered impulsivity and stress immunity are related to a higher time preference discount rate under quasi-hyperbolic time preferences.

This paper adds to the literature on personality and financial decisions and highlights the importance of psychopathy in finance.

This paper aims to examine market inefficiencies in the National Football League (NFL) betting market from the 2003 season to the 2016 season.

The author examines the impact that division rivals and previously known determinants of inefficiencies have on the current NFL gambling market.

The results show that games against division rivals have a lower chance of the home team covering the spread and the chance the game will result in an over. This result demonstrates that the sportsbooks underestimate the familiarity that teams have with each other’s players, coaches and tendencies from playing each other twice per year. Moreover, using this result in conjunction with previous known inefficiencies, the author puts forth a model to test out of sample predictions. The results from these tests show profitable strategies in the point spread and totals market with a win rate of nearly 57 per cent.

Overall, this paper demonstrates inefficiencies in the NFL betting market that future bettors may be able to take advantage of.

This study aims to examine that personality traits are associated with the investor’s ability to exhibit disposition effect, herding behavior and overconfidence. It also explores how risk-attitude can modify investor behavior by moderating the association between personality traits, disposition effect, herding and overconfidence.

Data were collected from 396 respondents by using personally administrated survey. Confirmatory factor analysis (CFA) was used to confirm the validity and reliability of data. Regression analysis was used to test the proposed hypotheses.

The results supported the proposed hypotheses and showed that extravert investors were more likely to exhibit disposition effect, herding and overconfidence. The conscientiousness trait was associated with disposition effect and overconfidence, while neuroticism was associated with herding behavior. The results confirmed the moderating effect of risk aversion on the association between personality traits, disposition effect, herding and overconfidence.

This study demonstrates how risk aversion modes the strength of association between psychological characteristics (represented by personality traits) and cognitive biases (disposition effect, herding and overconfidence). The results support the “auction” interpretation of investors' behavior by suggesting that personality traits are associated with investment decision-making and that investors are marginal price setters.

With the development of global food markets, the structural properties of supply chain networks have become key factors affecting the ability to evaluate and control infectious diseases and food contamination. The purpose of this paper is to describe and characterize the nationwide pork supply chain networks (PSCNs) in China and to demonstrate the potential of using social network analysis (SNA) methods for accessing outbreaks of diseases and contaminations.

A large-scale PSCN with 17,582 nodes and 49,554 edges is constructed, using the pork trade data collected by the National Important Products Traceability System (NIPTS) in China. A network analysis is applied to investigate the static and dynamic characteristics of the annual network and monthly networks. Then, the metric maximum spreading capacity (MSC) is proposed to quantify the spreading capacity of farms and estimate the potential maximum epidemic size. The structure of the network with the spatio-temporal pattern of the African swine fever (ASF) outbreak in China in 2018 was also analysed.

The results indicate that the out-degree distribution of farms approximately followed a power law. The pork supply market in China was active during April to July and December to January. The MSC is capable of estimating the potential maximum epidemic size of an outbreak, and the spreading of ASF was positively correlated with the effective distance from the origin city infected by ASF, rather than the geographical distance.

Empirical research on PSCNs in China is scarce due to the lack of comprehensive supply chain data. This study fills this gap by systematically examining the nationwide PSCN of China with large-scale reliable empirical data. The usage of MSC and effective distance can inform the implementation of risk-based control programmes for diseases and contaminations on PSCNs.

High levels of interior water vapour lead to condensation and black mould that in turn represent significant risks to residential properties and their occupants. Beliefs about window opening are good predictors of the degree to which householders will actually open windows to purge their homes of water vapour, including water vapour that they themselves generate. The present study tested if a short information-giving intervention could enhance householders’ beliefs that foster window opening as purge ventilation and, in turn, lead to greater window opening.

Data were collected from 242 UK householders with robust psychometrically sound measures embedded in an online self-report survey that also presented the intervention information.

The intervention led participants, and males in particular, to have significantly greater concerns about condensation and mould and significantly less concerns about heat loss costs arising from opening windows, and these altered beliefs in turn predicted a greater intention to open windows in the future.

By sharing simple information, surveyors and other building professionals can help householders take the simple step of opening their windows and so reduce the threats that condensation and mould present to themselves and their homes.

This is the first study to test (1) a time-based model that predicted the intervention would have a positive effect on specific window opening attitudes and that those new attitudes would in turn affect window opening intentions, and (2) if the intervention had different effects on men and women.