scholarly journals The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiaohong Shen ◽  
Gaoshan Wang ◽  
Yue Wang

This paper investigates whether and how the research reports issued by securities companies affect stock returns from the perspective of investor sentiment in China. By collecting research reports and investor comments from a popular Chinese investor community, i.e., East Money, we derive two indices that represent the information contained in research reports: one is the attention of research reports and the other is the average stock rating given by research reports; then we develop an investor sentiment indicator using the machine learning method. Based on behavioral finance theory, we hypothesize that research reports have a significant effect on stock returns and investor sentiment plays a mediating role in it. The empirical analysis results confirm the above hypotheses. Specifically, the average stock rating given by research reports can better predict future stock returns, and investor sentiment plays a partial mediating role in the relationship between stock rating and stock returns.

Author(s):  
Guoliang Yang ◽  
Zhihua Wang ◽  
Weijiong Wu

Little is known about the relationship between social comparison orientation and mental health, especially in the psychological capital context. We proposed a theoretical model to examine the impact of ability- and opinion-based social comparison orientation on mental health using data from 304 undergraduates. We also examined the mediating effect of the four psychological capital components of hope, self-efficacy, resilience, and optimism in the relationship between social comparison orientation and mental health. Results show that an ability (vs. opinion) social comparison orientation was negatively (vs. positively) related to the psychological capital components. Further, the resilience and optimism components of psychological capital fully mediated the social comparison orientation–mental health relationship. Our findings indicate that psychological capital should be considered in the promotion of mental health, and that the two social comparison orientation types have opposite effects on psychological capital.


2014 ◽  
Vol 42 (8) ◽  
pp. 1315-1323 ◽  
Author(s):  
Xu Zhang ◽  
Bei Hu ◽  
Min Qiu

We explored the mediating effect of job satisfaction in the relationship between employees' performance appraisal and their voice behavior. A questionnaire was administered to 864 employees at enterprises representing high-tech industrial clusters from 5 cities in China. Developmental performance appraisal was found to have a more positive influence on employees' voice behavior than evaluative performance appraisal did. Compared with prohibitive voice behavior, both developmental and evaluative types of performance appraisal had a more positive impact on promotive voice behavior, and job satisfaction was found to play a mediating role in the relationship between these variables.


2021 ◽  
pp. 097215092110556
Author(s):  
Komal Nagar ◽  
Gurmeet Singh ◽  
Rabinder Singh

The present study aims to explore the relationship between social loneliness and online interaction through WhatsApp addiction among a sample of Indian and Fijian respondents. Based on the responses of 202 Indian and 73 Fijian respondents, the present research study validated the mediating role of WhatsApp addiction, revealing that social loneliness increased the possibility of preferring to interact online through increased WhatsApp addiction. The empirical results showed that the underlying mechanism of social loneliness might indirectly influence consumers’ preference for online social interaction (POSI). The study further assessed the moderating role of culture in the association between social loneliness and POSI. Findings of the moderated mediation analysis demonstrated that, the association between loneliness and preference to socialize online differed, based on the identified cultural differences between Indian and Fijian groups.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yingge Zhu ◽  
Denghao Zhang

This study aims to explore the mediating effect of anger and turnover intention on the relationship between workplace ostracism and counterproductive work behaviors. A two-stage follow-up survey of 426 employees born after 1990 was conducted using the Workplace Ostracism Scale, Counterproductive Work Behaviors Scale, Trait Anger subscale of the State-Trait Anger Expression Inventory, and Turnover Intention Scale. Workplace ostracism was found to be significantly positively correlated with anger, turnover intention, and counterproductive work behaviors. Furthermore, anger and turnover intention both separately and serially mediated the relationship between workplace ostracism and counterproductive work behaviors. This study confirms the chain mediating effect of anger and turnover intention on the relationship between workplace ostracism and counterproductive work behaviors.


2017 ◽  
pp. 1-23
Author(s):  
Sumayya Chughtai Et al.,

We classify stocks in different industries to measure industrial sentiment based on principle component analysis in order to examine whether investor sentiment exerts a differential impact on stock returns across different industries. After having constructed industry-level sentiment indices we construct a composite investor sentiment index. Our results suggest that investor sentiment negatively affects current as well as future stock returns in Pakistan over the examined period. However, we find that the influence of investor sentiment varies substantially across different industries. We also find that the market sentiment index has a negative relationship with both current and future stock returns. We also show that the direction of the relationship between return and sentiment remains same for the current and future period. This indicates that investors overreact to the available information and mispricing exists for a prolonged time. Our results confirm that sentiment driven mispricing persists for upcoming time and stock markets are not fully efficient to adjust instantaneously.


2021 ◽  
Author(s):  
Huiping Sun ◽  
Lin Qian ◽  
Mengxin Xue ◽  
Ting Zhou ◽  
Jiling Qu ◽  
...  

BACKGROUND With the popularization of the Internet, it has become possible to widely disseminate health information via social media. Medical staff’s health communication through social media can improve the public’s health literacy, and improving the intention of health communication among nursing undergraduates is of great significance for them to actively carry out health communication after entering clinical practice. OBJECTIVE To explore the relationship among eHealth literacy, social media self-efficacy, and health communication intention and to determine the mediating role of social media self-efficacy in the relationship between eHealth literacy and health communication intention. METHODS A cross-sectional descriptive correlation design was used in this study.Stratified cluster sampling was used to select 958 nursing students from four nursing colleges in Jiangsu Province, China, from June to July 2021.Data were collected using the eHealth Literacy Scale, the Social Media Self-efficacy Scale, and the Health Communication Intention Questionnaire. Sociodemographic data were also collected. Correlation analysis and regression analysis were used to determine the relationship between eHealth literacy, social media self-efficacy, and health communication intention. RESULTS Health communication intention is positively correlated with eHealth literacy and social media self-efficacy. eHealth literacy directly affects the intention of health communication significantly (p < 0.001), and social media self-efficacy played a mediating role in the influence of eHealth literacy on health communication intention (the mediating effect accounted for 37.2% of the total effect). CONCLUSIONS Improving the eHealth literacy of nursing undergraduates can directly affect or promote health communication intention and can also indirectly improve health communication intention through improving social media self-efficacy. In view of these results, targeted educational programs must be developed to improve eHealth literacy and social media self-efficacy among nursing undergraduates, thereby promoting their health information transmission.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nur Asni ◽  
Dian Agustia

PurposeThe purpose of this paper is to investigate the mediating role of financial performance (FP) in modelling the relationship between green innovation (GI) and firm value (FV), using ASEAN countries as sample with panel analysis.Design/methodology/approachA panel data was collected from 374 publicly traded companies in six ASEAN countries, and was analysed using feasible general least squares (FGLS) to control heteroscedasticity and serial correlation.FindingsThe findings suggest that financial performance, namely return on assets (ROA) and return on equity (ROE), has a significant value in mediating the relationship between GI and FV. This illustrates that investors in the ASEAN region's capital market are more interested in the economic motivation for companies implementing GI. Other findings also provide evidence that ROA and ROE have positive and significant effects on FV. This indicates that the profitability resulting from a firm's ability to continuously innovate has a positive impact on the creation of value by manufacturing companies in the ASEAN region.Research limitations/implicationsThe number of observations is still relatively limited, from manufacturing companies listed on stock exchanges in the ASEAN countries. The total number of samples used in this study was 374 companies with 22.30% of the total population.Originality/valueThis study combines the different types of secondary data to provide panel evidence on the mediating effect of financial performance using ROA and ROE in the relationship between green innovation and firm value, using ASEAN countries as the sample.


Author(s):  
Sang-Wuk Ku

This chapter proves the mediating effect of product platform strategies on the relationship between a firm's subject, environment, and resources and the performance of new product development in the perspective of platform leadership. The author analyzed the mediating role of product platform strategy by considering CEO propensity, competition and customers, and competitiveness of retained resources. Compared to the past, in the perspective of platform leadership, the product platform strategy has a critical effect on the relationship between the business scope of a platform leader, the external relationship with complementors, and the internal organization of a platform leader impact on the performance of new product development. As a result of hierarchical regression analysis with the data of Korean high technology companies, the product platform strategy would be mediating the relationship between the antecedents such as CEO propensity, competition and customers, and competitiveness of retained resources and NPD performance.


Author(s):  
Serkan Yılmaz Kandır ◽  
Veli Akel ◽  
Murat Çetin

In this chapter, the authors investigate the relationship between investor sentiment and stock returns in an out of sample market, namely Borsa Istanbul. The authors use the Consumer Confidence Index as an investor sentiment proxy, while utilizing BIST Second National Index as a measure of small capitalized stock returns. The sample period spans from January 2004 to May 2014. By using monthly data, the authors employ cointegration test and error–correction based Granger causality models. The authors' findings suggest that there is a long-term relationship between investor sentiment and stock returns in Borsa Istanbul. Moreover, a unidirectional causal relationship from investor sentiment to stock returns is also found.


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