Non-technical skills for managing risk and performance in financial trading

Recent large-scale failures in financial institutions have been found to be caused, in-part, by human factors-related issues in financial trading. In other environments where risk management and performance are intertwined, a human factors approach is often adopted to understand how the ‘non-technical skills (NTS)’ (leadership (LD), decision-making (DM), situation awareness (SA), teamwork) of organisational actors influence outcomes. Yet, to date, there has been minimal application of human factors research in financial trading. This study (i) identifies ‘real-world’ (i.e. non-laboratory) research studies investigating the NTS important for performance in financial trading, (ii) examines and synthesises data on the NTS found to underpin good or poor performance and (iii) considers the quality and coverage of research investigating NTS in financial trading, and identifies potential areas for future research. Nineteen studies were identified through a systematic literature search and then content-analysed for associations between NTS and performance in financial trading. The review found a range of decision-making (e.g. heuristics and biases, intuitive DM, emotional regulation) and LD skills (e.g. setting standards, monitoring behaviour, encouraging speaking-up) to have been identified as important for managing risk and performance in financial trading environments. Furthermore, SA (e.g. information search and assessment strategies, vigilance, identifying ‘noise’ data) and teamwork (e.g. avoiding ‘role’ conflict, communication between traders) were found to be important, yet remain less explored within the literature, and should be the focus of future research. NTS appear essential for effective risk management within the financial sector, yet further field research is required to examine the context-relevant behaviours that underpin safe activity. This will facilitate the development of evidence-based systems for assessing and training NTS competencies.     

Competition in the stock market with asymmetric information

We build a game theoretical model to examine how the level of information advantage of insiders and the competition between insiders and sophisticated investors affect stock price movements and traders’ trading strategies and profits. We show that the competition between insiders and sophisticated investors can reduce the losses of less sophisticated investors, and thus alleviates the disadvantaged position of the less sophisticated investors. Further, traders’ profits are affected by the accuracy of insiders’ private information, and the number of days that insiders have obtained the information in advance. These findings show the importance of information transparency and the role of sophisticated investors in limiting insiders’ trading advantages and mitigating the expropriation of investors by insiders.     

Asymmetric effects of fiscal policy in EU and OECD countries

In this article, we take account of an evaluation of the short- and medium-term effects of the transmission mechanism of fiscal policy in EU and OECD countries and their dependence on the state of the economy and fiscal behaviour. Our findings indicate that (i) across EU member states the impact of government spending on economic performance is larger in the accession than in core member states, (ii) since the onset of the economic/financial crisis the government spending multipliers have become larger in both core and accession EU member states, and (iii) a comparison with fiscal responses in the OECD countries shows robustness of our estimates. The conclusion implies that the austerity measures present a substantial drag for economic activity in accession EU countries. Thus, we may state that not considering the fiscal behaviour and state of the economy gives misleading fiscal multiplier effects, which in turn lead to the adoption of inappropriate fiscal measures that even worsen a country's economic situation.     

Applying neutralization theory to fair trade buying behaviour

More and more consumers are willing to pay a premium for fair trade products. However, great potential remains as the market shares of these products are still low. In the present study, neutralization theory was applied to investigate the reasons for consumers hesitating to buy more fair trade products. A postal paper‐and‐pencil survey was sent out using random addresses from the telephone book in the German‐speaking part of Switzerland, resulting in a final sample size of n = 620. The results show that the techniques of neutralization are used to various degrees. A principal component analysis resulted in two strategies of neutralization: an internal strategy (focusing on the consumers themselves) and an external strategy (focusing on the farmers in developing countries). A regression analysis proved that the internal neutralization strategy was an important predictor for fair trade buying behaviour, even when controlling for attitudes towards fair trade.     

A neural network based price sensitive recommender model to predict customer choices based on price effect

The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.     

The behavioural intentions of specialty coffee consumers in South Africa

More than 1.6 billion cups of coffee are consumed worldwide on a daily basis. South Africa is rapidly adapting to worldwide trends with speciality coffee consumption on the rise, with South Africa recently having been recognised as a key player in the speciality coffee industry. Emerging market trends in speciality coffee consumption have resulted in a number of changes in consumption patterns, preferences and consumer behaviour. The purpose of this study was to determine the behavioural intention of speciality coffee consumers in South Africa, using the Theory of Planned Behaviour. The data were gathered from a non‐probability sample of 327 respondents, who were selected through a self‐completion online questionnaire. The results indicate that males consume more speciality coffee than females. The majority of respondents consume speciality coffee more than once a day, and foam cappuccinos are consumed most regularly. The results of the stepwise multiple regression analysis demonstrate the utility of the Theory of Planned Behaviour as a conceptual framework for predicting the behavioural intention of speciality coffee consumers. The findings indicate that attitude, subjective norms and perceived behavioural control are important predictors of behavioural intention. Furthermore, perceived behavioural control is the most important factor influencing speciality coffee consumption, and the most influential of the direct measures of the Theory of Planned Behaviour. With the current rise in speciality coffee consumption among South Africans, the Theory of Planned Behaviour framework contributes to understanding those factors which influence regular speciality coffee consumption. It is recommended that marketers and practitioners adapt their offerings to appeal to the specific needs of the growing speciality coffee market in South Africa.     

Health and cosmetics: Investigating consumers’ values for buying organic personal care products

In investigating consumers’ intentions to re-purchase organic personal care products (PCP), this study extends the theory of planned behaviour by including perceived value dimensions as the antecedents of attitude in the model. The findings revealed that most of the hypothesised relationships linking the consumer perceived value constructs (namely, health, safety, hedonic and environmental) with attitude towards the rebuying of organic PCP, were supported. Also, better product knowledge about organic PCP would lead to more positive attitudes towards re-purchasing the product. In contrast, social value was not important in predicting attitude. Similarly, the influence of subjective norm on rebuying intention was not supported. In terms of ranking of importance with regards to prediction of re-purchasing intention, attitude was the most important predictor followed by perceived behavioural control, product knowledge, hedonic value, environmental value and safety value.     

Liquidity,information, strategic trading in an electronic order book: New insights from the European carbon markets

The electronic limit order book (LOB hereafter) has rapidly become the primary way of trading European carbon assets over the 4 years of the EU ETS programme (2008–2012). In this first attempt of examining the informational content of an electronic order book, we evidence that order flow imbalances have a moderate capacity to predict short term price changes. However, we find that both LOB slope and immediacy costs help to forecast quote improvements and volatility in the next 30 min. Further, we explain why informed trading is highly influential and show that it consists in mixing order splitting strategies and posting fleeting orders once the asymmetric information is reduced (Rosu, 2009). Overall, the consolidated status of the order book mirrors a high level of market uncertainty and a low degree of informational efficiency. In this way, strategic trading can in itself explain some of order book properties, independently of the degree of traders’ sophistication and market competition.     

Understanding employee preferences for investing in employer stock: evidence from France

In this article, we broaden the focus of existing research on employee stock purchase plans by analysing employee preferences for investing in employer stock as a construct distinct from actual investment behaviour. In our analysis of original survey data in a sample of 900 employees in four French companies, we find that employee preferences are influenced by two common cognitive heuristics (representativeness and familiarity), organisational commitment, the perceived quality of corporate communications about these plans and perceived managerial commitment to employee ownership. We did not find, however, that risk aversion, turnover intentions or perceived employee involvement in decision making influenced preferences for investing in employer stock. Our findings have both theoretical and practical implications for understanding and operating these types of employee benefit plans, which are becoming more common across the globe.     

Reactive or proactive? Investor sentiment as a driver of corporate social responsibility

Investors and financial markets have been a neglected stakeholder group in studies on a firm’s motivations to be socially and environmentally responsible. Despite being a strong driving force behind firm value, no study has investigated the influence of market and investor sentiments on CSR behaviour. Using a global sample, we investigate the effects of market and investor sentiments on firm CSR performance. We find negative market and investor sentiments in the prior year motivate firms to improve their CSR performance in the next year. We also find the magnitude of improvement in CSR performance differs not only by country, but by CSR sub-category as well. These findings imply that a firm’s motivation to improve its CSR performance is reactionary, rather than being driven by altruism. Regulators and proponents of CSR should thus seek to persuade investors and financial markets to put pressure on firms to further advance the CSR agenda.