Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

Creating compassion: How volunteering websites encourage prosocial behaviour

Organisations increasingly use websites to promote prosocial behaviour such as volunteering, philanthropy, and activism. However, these websites often fail to encourage prosocial behaviours effectively. To address the lack of relevant research, we develop, then refine, a design model that identifies the user experience factors that create intention to engage in prosocial behaviour on websites. We test an initial model developed from the literature, by interviewing forty participants, each of whom visited and compared six volunteering websites. Our analysis of the participants' user experience reveals eighteen elements that interplay to create intention to engage in prosocial behaviour. Our refined design model comprises ten website features (interaction, factual, anecdata, external recognition, organisational expression, value suggestion, explanatory content, visual media, written media and, website design), seven perceptions (ease of use, aesthetics, information quality, trust, negative affect, positive affect, and argument strength), and one motivation (egoism). These findings provide novel insights into how to design Information and Communications Technology (ICT) to encourage prosocial behaviour.     

Personality and older consumers’ green behaviour in the UK

The UK government has set an ambitious target of reducing greenhouse gas emissions by 80% before 2050. An interesting segment that could help to achieve this is older consumers, due to their growing numbers. There seems to be a lack of attention, in the research looking specifically at different age categories of older consumers’ green behaviour, and whether their level of greenness can be explained by their personality. Using Socioemotional Selectivity Theory and Time Perspective, the research presented here was designed to provide an exploratory analysis of how the green behaviour of older consumers is explained by their personality types. Based on the responses of 204 older consumers in the UK, our results find the openness personality trait to be positively linked to green behaviour, whilst the extraversion personality trait is negatively related to green behaviour. Although the level of green behaviour increased with older consumers’ age, this did not reach significance.     

Motivating Employees towards Sustainable Behaviour

Workers engaging in voluntary and unrewarded environmental actions that go above and beyond their job requirements in an organizational setting can crucially contribute to a reduced environmental impact of organizations. This research investigates some of the factors that may contribute to the emergence of such organizational citizenship behaviour directed towards the environment (OCBE). The hypotheses predicted employees' concern for the environment, employees' perceived organizational support for environmental efforts and organizational commitment as antecedents of OCBE. Employees from two organizations (n = 547) completed an online survey. Controlling for organizational tenure, a significant relationship between (a) employees' concern for their environment and OCBE, (b) perceived organizational support for environment efforts and OCBE and (c) organizational commitment and OCBE were found. Furthermore, organizational commitment mediated the relationship between perceived organizational support for environmental efforts and OCBE, but not environmental concern. This study's insights into the factors that can drive employees' engagement in small, voluntary environmental actions at work can guide organizations wishing to encourage such behaviours. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.     

Does high frequency algorithmic trading matter for non-AT investors?

The extant literature has typically measured the impact of high frequency algorithmic trading (HFT) on short term outcomes, in seconds or minutes. We focus on outcomes of concern for longer term non-algorithm investors. We find in some cases HFT increases volatility arising from news relating to fundamentals. Furthermore HFT is associated with the transmission of that volatility across industries, and that transmission is based on short term correlations. Finally, we find that the period since the introduction of algorithmic trading (AT) has seen increases in both the variances and covariances of return volatility in most industries. However increases in the variances has not been uniform in that it has fallen sharply in a few industries. The magnitudes are such that, overall, AT has coincided with reduced return volatility variance.     

Up in smoke: demarketing and consumer smoking cessation

The concept of demarketing refers to the use of marketing techniques to reduce or eliminate demand for a product or service. A review of the demarketing literature relating to health and specifically antismoking initiatives indicated that, while research on this topic exists, much of it is not grounded in an acceptable attitudinal or behavioural theory. After determining the importance placed by a sample of 18–24‐year olds on nine demarketing initiatives, two dimensions were identified that best explained this construct. Items within these dimensions were summed and averaged to form single variables, which were then used to form the attitudinal component of the Model of Goal Directed Behaviour. The findings showed that two of these variables – one that captured product packaging aspects and another that consisted of place and price items – significantly influenced the desire to quit and indirectly influenced the intention to quit. Anticipated positive emotions, frequency of quitting attempts and perceived control over quitting also positively influenced the desire and/or intention to quit. The article concludes with a discussion that interprets these findings from a theoretical and practical perspective and suggests directions for future research.     

Performance of Moving Average Trading Rules in a Volatile Stock Market: The Russian Evidence

This article examines the profitability of dual moving average crossover (DMAC) trading strategies in the Russian stock market over the 2003–12 period. It contributes to the existing technical analysis (TA) literature by testing, for the first time, the applicability of ordered weighted moving averages (OWMA) as an alternative calculation basis for determining DMACs. In addition, this article provides the first comprehensive performance comparison of DMAC trading rules in the stock market that is known as one of the most volatile markets in the world. The results show that the best trading strategies of the in-sample period can also outperform their benchmark portfolio during the subsequent out-of-sample period. Moreover, the outperformance of the best DMAC strategies is mostly attributable to their superior performance during bearish periods and, particularly, during stock market crashes.     

Where to park? A behavioural comparison of bus Park and Ride and city centre car park usage in Bath,UK

Integrating car parking facilities with public transport in Park and Ride (P&R) facilities has the potential to shorten car trips, contributing to more sustainable mobility. There is an ongoing debate about the actual effects of P&R on the transport system at the subregional level. A key issue is the relative attractiveness of city centre car parks (CCCP), P&R and public transport. The paper presents the findings of a comparative empirical case-study based on a field survey of CCCP and P&R users conducted in the city of Bath, UK. Spatial and statistical analyses are applied. Radial distance to parking, availability of P&R sites in the direction of travel, gender, age, income and party-size are found to be important factors in a binary logistic regression model, explaining the revealed-preference of parking type. Stated analysis of foregone parking alternatives suggests more use of public transport and walking/cycling would likely occur without first-best parking alternatives. The policy implications and possible planning alternatives to P&R at the urban fringes for achieving greater sustainability goals are also discussed.     

Does the locomotion technique matter in an immersive virtual store environment? – Comparing motion-tracked walking and instant teleportation

Immersive virtual reality shopping environments may use a variety of locomotion techniques. Currently the most prominent are instant teleportation and motion-tracked walking. Motion-tracked walking more closely mimics natural shopping behaviour as it allows a shopper to physically walk through the virtual store; however, it requires a larger space and has design and cost implications. Instant teleportation is likely to be cheaper and to enable larger store formats; yet it is unknown whether the choice of instant teleportation results in different in-store behaviour by shoppers. Our research examines whether instant teleportation provides a feasible design alternative to motion-tracked walking by determining whether it does result in altered shopper behaviour. Using a split sample experiment in a purpose-built immersive VR convenience store, we compare shoppers’ emotional states (engagement, excitement and stress, measured through electroencephalography), purchase behaviour metrics, and store coverage (represented by heat maps) between motion-tracked walking and instant teleportation locomotion techniques. Results demonstrate that the absence of physical walking had no impact on emotional states or the investigated shopping outcomes. While instant teleportation led to some skipped shelf sections, there was no impact observed on the number of unplanned purchases. To the extent that the naturalism of immersive VR relies on proprioceptive engagement or embodied cognition, this appears to be adequately supported by upper body movements that do not require physical walking. These findings provide fresh insights for the design of Virtual Reality shopping environments for market research or future online-retailing platforms.