Research on the Impact of Covid-19 on the Chemistry Industry in US Stock Market based on the Fama-French Five-factor Model

2021 ◽  
Author(s):  
Jiahui Niu ◽  
Mengxi Zhang ◽  
Jie Wang
Keyword(s):  
Stock Market ◽  
Factor Model ◽  
Five Factor Model ◽  
Chemistry Industry ◽  
The Impact

scholarly journals The Effects of Environmental Regulation on the Singapore Stock Market

2019 ◽  
Vol 12 (4) ◽  
pp. 175
Author(s):  
Pham ◽  
Nguyen ◽  
Ramiah ◽  
Mudalige ◽  
Moosa
Keyword(s):  
Stock Market ◽  
Environmental Regulation ◽  
Alternative Energy ◽  
Carbon Tax ◽  
Environmental Regulations ◽  
Five Factor Model ◽  
Abnormal Returns ◽  
Electricity Sector ◽  
The Impact ◽  
Non Parametric

This study examines the impact of environmental regulation on the Singapore stock market using the event study methodology. Several asset pricing models are used to estimate sectoral abnormal returns. Additionally, we estimate the change in systematic risk after the introduction of the carbon tax and related regulation. We conduct various robustness tests, including the Corrado non-parametric ranking test, the Chesney non-parametric conditional distribution approach, a representation of market integration, and Fama–French five-factor model. We find evidence showing that the environmental regulations tend to achieve their desired effects in Singapore in which several big polluters (including industrial metals and mining, forestry and papers, and electrical equipment and services) were negatively affected by the announcements of environmental regulations and carbon tax. In addition, our results indicate that the electricity sector, one of the biggest polluters, was negatively affected by the announcement of environmental regulations and carbon tax. We also find that environmental regulations seem to boost the performance of environmentally-friendly sectors whereby we find the alternative energy industry (focusing on new renewable energy technologies) experienced a sizeable positive reaction following the announcements of these regulations.

scholarly journals Hierarchy in the Library: Egalitarian Dynamics in Victorian Novels

2008 ◽  
Vol 6 (4) ◽  
pp. 147470490800600 ◽  
Author(s):  
John A. Johnson ◽  
Joseph Carroll ◽  
Jonathan Gottschall ◽  
Daniel Kruger
Keyword(s):  
Life History Theory ◽  
Factor Model ◽  
Five Factor Model ◽  
Human Life ◽  
Real Life ◽  
Emotional Responses ◽  
Affiliative Behavior ◽  
Online Questionnaire ◽  
Victorian Novels ◽  
The Impact

The current research investigated the psychological differences between protagonists and antagonists in literature and the impact of these differences on readers. It was hypothesized that protagonists would embody cooperative motives and behaviors that are valued by egalitarian hunter-gatherers groups, whereas antagonists would demonstrate status-seeking and dominance behaviors that are stigmatized in such groups. This hypothesis was tested with an online questionnaire listing characters from 201 canonical British novels of the longer nineteenth century. 519 respondents generated 1470 protocols on 435 characters. Respondents identified the characters as protagonists, antagonists, or minor characters, judged the characters' motives according to human life history theory, rated the characters' traits according to the five-factor model of personality, and specified their own emotional responses to the characters on categories adapted from Ekman's seven basic emotions. As expected, antagonists are motivated almost exclusively by the desire for social dominance, their personality traits correspond to this motive, and they elicit strongly negative emotional responses from readers. Protagonists are oriented to cooperative and affiliative behavior and elicit positive emotional responses from readers. Novels therefore apparently enable readers to participate vicariously in an egalitarian social dynamic like that found in hunter-gatherer societies. We infer that agonistic structure in novels simulates social behaviors that fulfill an adaptive social function and perhaps stimulates impulses toward these behaviors in real life.

scholarly journals Sexual offending hierarchies, personality attributions, and the clinical implications

2017 ◽  
Vol 19 (3) ◽  
pp. 190-197 ◽  
Author(s):  
Laura Elizabeth Challinor ◽  
Simon Duff
Keyword(s):  
Risk Assessment ◽  
Factor Model ◽  
Sexual Offending ◽  
Five Factor Model ◽  
Personality Characteristics ◽  
Individual Risk ◽  
Sexual Offence ◽  
Content Type ◽  
Perceived Severity ◽  
The Impact

Purpose The purpose of this paper is to examine sexual offending hierarchies constructed by the general public and forensic staff based on personal attitudes and perceived severity of offence. In addition, six sexual offence perpetrators are differentiated using the Five Factor Model of personality. Design/methodology/approach Vignettes represented six sexual offence perpetrators. Participants built a hierarchy based on perceived severity of offence, before attributing personality characteristics to each offender using a Likert-type scale. Findings Contact offenders were perceived as more dangerous than non-contact offenders. Rapists were perceived as the most dangerous, and voyeurs the least dangerous. Offenders were attributed significantly different personality traits. Generally, men who sexually offend are perceived to be low in agreeableness, openness and conscientiousness and high in impulsivity, manipulativeness and neuroticism. Practical implications The research highlights the importance of individual risk assessment in determining best practice treatment for men who have sexually offended (MSO). The Five Factor Model has been proven to be a useful tool to explore the impact staff attitudes have on risk assessment and treatment. Low-risk and high-risk MSO would benefit from divergent treatment. Consideration should be given to personality characteristics in addition to level of risk. Originality/value The research determines a hierarchy of men who sexually offend, and goes beyond the “label” of sexual offenders to explore how personality impacts on formation of attitudes.

scholarly journals EXPLICATING THE ROLE OF TRUST IN KNOWLEDGE SHARING: A STRUCTURAL EQUATION MODEL TEST

2017 ◽  
Vol 18 (4) ◽  
pp. 758-778 ◽  
Author(s):  
Rasa SMALIUKIENĖ ◽  
Svajonė BEKEŠIENĖ ◽  
Eugenijus CHLIVICKAS ◽  
Marius MAGYLA
Keyword(s):  
Organizational Culture ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Large Body ◽  
Equation Model ◽  
Impact Of Technology ◽  
The Impact

Although the large body of literature suggests that trust is a prerequisite for knowledge sharing, the understanding of mediational pathways remains limited. The paper fills the gap by combining two separate streams in knowledge sharing, where the first reflects the paradigm of the organizational behaviour theory and highlights the impact of organizational culture and employees’ trust; where the second one discloses the impact of technology deployment in knowledge sharing. Building on the premises that interdependence between variables that affect knowledge sharing raises form organizational culture of trust and available technologies, we examine the structural origins of knowledge sharing. As a method structural equation modelling test was used to analyse the data. Hypothesised five-factor model was tested through two stages using AMOS software. The findings carry theoretical implications for the knowledge management body of knowledge since they extended the research on knowledge sharing by integrating organisational culture and technological solutions into one complex system. Form practical perspective, the relationship among four predictors – trust in leadership, trust in co-workers, trust in technologies for knowledge management, and fear of losing one’s value – provide a proof on how organizations knowledge sharing is composed and how it could be developed.

scholarly journals Analysis of the Fama-French Model (FF5) Factor on the Food Industry under the COVID-19 Epidemic

2021 ◽  
Vol 13 ◽  
pp. 270-275
Author(s):  
Shiyun Yang ◽  
Zijia Cheng ◽  
Zihan Xia
Keyword(s):  
Market Segmentation ◽  
Global Economy ◽  
Food Industry ◽  
Factor Model ◽  
Five Factor Model ◽  
Current Status ◽  
Before And After ◽  
The Impact ◽  
Development Prospects ◽  
Three Factor

Due to the impact of the COVID-19 epidemic, the global economy has been affected to some extent in all aspects, with the food industry bearing the brunt. However, the specific research on the stock market segmentation industry is relatively lacking. This article aims to analyze the food industry's current status and development prospects by discussing the Fama-French three-factor model and five-factor model before and after the epidemic in the food industry and put forward constructive opinions on this. The analysis will use the method of coefficient comparison and effectiveness comparison to analyze the food industry's coefficients before and after the epidemic in the same model and model differences and combine the background of the industry to get the reasons for these differences.

scholarly journals Passive ESG Portfolio Management—The Benchmark Strategy for Socially Responsible Investors

2021 ◽  
Vol 13 (16) ◽  
pp. 9388
Author(s):  
Julian Amon ◽  
Margarethe Rammerstorfer ◽  
Karl Weinmayer
Keyword(s):  
Financial Performance ◽  
Portfolio Management ◽  
Asset Allocation ◽  
Factor Model ◽  
Five Factor Model ◽  
Strong Support ◽  
Socially Responsible ◽  
A Value ◽  
Significant Difference ◽  
The Impact

In this article, we investigate the notion of doing well while doing good from the perspective of passive portfolio strategies. We analyze a number of asset allocation strategies based on ESG-weighting and compare their financial and ESG performance for the US and Europe. We find no significant difference in the financial performance but superior ESG performance of ESG-based strategies. It can be concluded that, compared to a naive strategy, socially responsible investors are willing to pay a small premium for the impact of the portfolio via transaction costs when rebalancing the portfolio according to their preferences for social responsibility. In addition, when comparing the ESG-based strategies to a value-weighted strategy, we observe no significant difference in ESG performance but a high degree of significance in the superior financial performance of the ESG-based strategy. We also analyze the strategies with regards to the factor loadings given by the Fama–French five-factor model and a sixth factor denoted GMB (Good minus Bad) and find significant differences across the regions and strategies. Overall, the results show strong support of ESG-based strategies being preferred by socially responsible investors but also suggest that such strategies might be preferred by conventional investors looking for a passively managed alternative compared to a value-weighted index. Furthermore, it seems that such a strategy might be a more adequate benchmark for active SRI funds.

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