Assessing the reversal of investor sentiment

Assessing the reversal of sentiment in stock markets is needed because, according to the social mood cycle, the change of social mood over time is an antecedent of price movements. The purpose of this study is to empirically assess reversal of investor sentiment, to show the phases of social mood cycle from increasing mood to decreasing mood, and to explain the dynamic change in market inefficiency from increasing to decreasing. Growth modeling, developed particularly for dealing with the change over time, is used in this study for assessing the reversal of investor sentiment. The autocovariance structure of errors and the variances/covariances of the random coefficients are all taken into account in the model. The results have indicated that the change in investor sentiment over time is inverted U-shaped for the entire market. Moreover, arbitrage constraint and stock characteristics exert a joint moderating effect on sentiment reversal. Less arbitrage constraint can strengthen sentiment reversal only when the market for individual stocks is dominated by noise traders. Based on the results obtained, we discuss asset pricing, liquidity management, and market intervention.     

Exploring consumer attitudes to online collaborative consumption: A typology of collaborative consumer profiles

Online collaborative consumption enhances peer networks, members of which communicate, collaborate, and even deliver services to one another via digital sharing platforms. Despite the tremendous increase in collaborative consumption, due in large part to the development of the Internet, the reality of the economic and social movements that underpin this trend is much less visible. Of course, not all consumers seek collaborative consumption or interact through online platforms. Using a qualitative approach, this paper aims to investigate motivational factors and barriers against collaborative consumption and to establish a typology of collaborative consumer profiles, identifying the most suitable type of online sharing platforms for each profile. The findings reveal the following collaborative consumer profiles: committed, pragmatists, intermittent, and skeptical, each demonstrating different preferences for the different type of online sharing platform.     

Consumer Brand Hate: Steam rolling whatever I see

This study aims to investigate negative consumer‐brand relationships by developing a “Brand Hate” concept. A hierarchical Brand Hate model is theoretically discussed in light of the psychology and consumer behavior literatures. In Study‐I the Brand Hate concept was tested with two different types of consumer brand haters, true haters, and regular haters. The study found that in the study's proposed multidimensional Brand Hate hierarchy true haters display “Boiling Brand Hate” while regular haters reveal “Seething Brand Hate.” Two additional studies were developed to examine the relationship between consumer personality traits and Brand Hate, exploring which types of consumers are more prone to feel hatred toward targeted brands. Study‐II's findings revealed a relationship between consumers who are high in personality traits of “conscientiousness” and those who Brand Hate. Study‐III's findings indicated that “self‐confident” and “competitive” consumers might also be more prone to feel hatred toward those brands that perform poorly and unethically.     

自然灾害背景下农村金融消费者权益保护问题探讨

目前，农村金融消费者权益保护工作力量薄弱，自然灾害对农村金融消费者影响较大；同时，金融产品设计对农村金融消费者权益保护考虑不足。为保护农村金融消费者权益，并最大限度地规避自然灾害给农户带来的经济损失，应循序渐进、阶段性地推动金融消费立法，完善农村金融服务体系，构建农村金融消费者自然灾害权益保护机制，开展针对农村金融消费者的常态化宣传教育活动。     

Consumers’ Willingness to Pay for Sustainable Seafood Made in Europe

Sustainability of increasing relevance also for seafood markets. The aim of this contribution is to analyze consumer preferences and their willingness to pay (WTP) for different sustainability claims, and to identify consumer segments according to their WTP. The contingent valuation method was applied to elicit consumers’ WTP in eight European countries. The WTP varies between seven and almost 20%, depending on attribute and country. Three consumer groups become apparent: the largest group without any additional WTP, a smaller group with a moderate additional WTP of plus 17%, and a very small group with an additional WTP of more than 40%. Clear differences between countries are obvious regarding preferences for different sustainability attributes, particularly in the segment with the highest WTP. A fraction of the consumers is willing to pay significantly higher prices for sustainably produced fish from Europe: given that trustful standards are applied and well communicated.     

Is the environment‐friendly factor attractive to customers when purchasing electric vehicles? Evidence from South Korea

In a bid to reduce greenhouse gas emissions, several countries worldwide are implementing policies to promote electric vehicles (EVs). However, contrary to expectations, the diffusion speed of EVs has been rather slow in South Korea. This study analyzes consumer preferences for the technological and environmental attributes of EVs and derives policy and environmental implications to promote market diffusion of EVs in South Korea. We conduct a choice‐based conjoint survey of 1,008 consumers in South Korea and estimate the consumer utility function using a mixed logit model considering consumer heterogeneity. Based on the consumer utility function, we analyze consumers' willingness‐to‐pay (WTP) for EV attributes such as driving range, charging method, charging time, autonomous driving function, carbon dioxide (CO₂) reduction rate, and purchase price. The results indicate that the current low acceptance of EVs is due to their relatively high price and lack of a battery charging technology that satisfies consumers' expectations of the charging method and time. One interesting finding is that Korean consumers have a relatively higher WTP for the CO₂ reduction rate of EVs than consumers in other countries; however, they do not consider CO₂ reduction over other technological attributes when choosing EVs. This implies that the rate of CO₂ reduction of EVs is not an important factor for South Korean consumers when buying EVs. We also calculate the effect of CO₂ reduction with the market penetration of EVs and find that CO₂ reduction through the diffusion of EVs depends on the country's electricity generation mix.     

Islamic and conventional portfolios optimization under investor sentiment states: Bayesian vs Markowitz portfolio analysis

This paper investigates the portfolio optimization under investor’s sentiment states of Hidden Markov model and over a different time horizon during the period 2004–2016. To compare the efficient portfolios of the Islamic and the conventional stock indexes, we have employed two approaches: the Bayesian and Markowitz mean-variance. Our findings reveal that the Bayesian efficient frontier of Islamic and conventional stock portfolios is affected by the investor’s sentiment state and the time horizon. Our findings also indicate that the investor’s sentiment regimes change the Islamic and the conventional optimal diversified portfolios.Moreover, the results show that the potential diversification benefits seem to be more important when using the Bayesian approach than when applying the Markowitz approach. This finding is valid for the bearish, depressed, bullish and calm states in Islamic stock markets. However, the diversification of potential portfolios is significant only for the bullish and the bubble states in the conventional financial markets.The findings of the study provided additional evidence for investors to exploit googling investor sentiment states to evaluate the portfolio performance and make an optimal portfolio allocation.     

Stock market reactions to domestic sentiment: Panel CS-ARDL evidence

This study sets out to explore the effects of business and consumer sentiment on stock market performance, within the separate contexts of advanced and emerging markets. The empirical analysis is carried out using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) modeling approach, which considers time dynamics, cross-sectional heterogeneity, and cross-sectional dependence. The findings for developed markets suggest that business sentiment has positive leading effects on stock returns, across short- and long-term time horizons, while for emerging markets, the price impact of business sentiment turns out to be short-lived. On the other hand, consumer sentiment tends to affect positively both market types, albeit only in the short run. Furthermore, the influence of sentiment indicators seems to be stronger in emerging- than in developed-market countries. The results remain robust, even after controlling for a rich range of potential predictors of stock returns. Generally, such evidence highlights the relevance of psychological factors, such as business and consumer sentiment, in determining the future trajectory of asset prices.     

When gamification backfires: the impact of perceived justice on online community contributions

ABSTRACT

While online communities may enhance firm performance, they commonly fail to retain members. To address this challenge, scholars and managers call for the use of gamification. However, despite gamification’s growing use in online communities, insight into its effect on member experience and behaviours remain limited. We hypothesise that gamification affects member-perceived distributive and procedural justice. In experimental studies, we assess the impact of in-gamification perceived justice on member contributions. We find that while high in-gamification perceived procedural justice acts as a necessary prerequisite for member contributions, high distributive justice can reduce game-related uncertainty, thereby rendering gamified practices less fun, particularly for low-engaged community members that tend to value rewards. We add to the literature by (a) pinpointing the core role of perceived justice in the persistence of online communities, and (b) unveiling that high distributive justice can lead gamification to backfire in online communities by affecting member experience and contributions.