Videos by Etoijeck Clovis
Historically, investor's decisions were made only based on information gleaned from traditional m... more Historically, investor's decisions were made only based on information gleaned from traditional media. However, the proliferation of social media has altered the relationship with the news. Due to its ease of use, speed, and efficiency, social media has become an inevitable source of information for investors. As a result, social media enables investors to make more informed and prudent judgments because of an unprecedented interchange of information. This master's research takes a behavioral approach to understand the financial market's reaction to various information, news, and announcement from individuals and companies. Studies have shown that investors act as been overconfident and as such, there makes the decision based on their thought this makes people in positive mood states decide according to personal validation.
The news media employed in this study is the social networking site Twitter from 2008 to 2018. Companies investigated are included in the CAC 40, AEX 25, and BEL 20 10 views
Papers by Etoijeck Clovis
Historically, investor's decisions were made only based on information gleaned from tradition... more Historically, investor's decisions were made only based on information gleaned from traditional media. However, the proliferation of social media has altered the relationship with the news. Due to its ease of use, speed, and efficiency, social media has become an inevitable source of information for investors. As a result, social media enables investors to make more informed and prudent judgments because of an unprecedented interchange of information. This master's research takes a behavioral approach to understand the financial market's reaction to various information, news, and announcement from individuals and companies. Studies have shown that investors act as been overconfident and as such, there makes the decision based on their thought this makes people in positive mood states decide according to personal validation.The news media employed in this study is the social networking site Twitter from 2008 to 2018. Companies investigated are included in the CAC 40, AEX ...
This paper builds insight into how globalization impacts cultural clusters through a detailed cas... more This paper builds insight into how globalization impacts cultural clusters through a detailed case study of Bollywood and the strategies that can be used to optimize its sales in the United State of America.
Economic geography typically explains the growth of cultural clusters under self-reinforcing external economies, and scholars point to early-mover advantages of a few cultural clusters in Western economies, such as Los Angeles, Paris, London, Milan, and so on. In this logic, globalization for the cultural industries mainly entails westernization of mass culture and subordination of cultural clusters in emerging economies to peripheral positions in global networks
The inside of this documents shows how we can efficiently manage diversity at work
Name: ETOIJECK CLOVIS NJIEWIE. ID number: 19M0653 1) Describe the feature and framework of "Harva... more Name: ETOIJECK CLOVIS NJIEWIE. ID number: 19M0653 1) Describe the feature and framework of "Harvard model of HRM". (Point 15) The Harvard model is interlinked with several components such as it is related to several situational factors, HR choices, HR outcomes, interest of the stakeholders, long term approach, and feedback process. It also helps to hard and soft version of HRM which helps moving people along with the strategies of an organization. The Harvard HRM model is being supported by providing inputs in an organization and output is being measured with the performance of the employees The Harvard framework for HRM is an HR model comprised of six components. The model starts, on the left, with stakeholder interest. These stakeholders include shareholders, management, employee groups, government, and more. These interests define the HRM policies. At the same time, situational factors influence these interests. Situational factors include workforce characteristics, unions, and all the other factors that were also listed in the 8-box model. Situational factors and stakeholder interest influence HRM policies. These include the core HR activities, like recruitment, training, and reward systems. When done well, HRM policies lead to positive HRM outcomes. These include the previously mentioned retention, cost-effectiveness, commitment, and competence. These positive HRM outcomes lead to long-term consequences. These can be individual, organizational, and societal. And further development of a feedback to its input and from its output result 2) Describe the framework of "Comprehensive Strategic HRM", and explain the reason why we say "Strategic" regarding this HRM system. (Point 15)
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Videos by Etoijeck Clovis
The news media employed in this study is the social networking site Twitter from 2008 to 2018. Companies investigated are included in the CAC 40, AEX 25, and BEL 20
Papers by Etoijeck Clovis
Economic geography typically explains the growth of cultural clusters under self-reinforcing external economies, and scholars point to early-mover advantages of a few cultural clusters in Western economies, such as Los Angeles, Paris, London, Milan, and so on. In this logic, globalization for the cultural industries mainly entails westernization of mass culture and subordination of cultural clusters in emerging economies to peripheral positions in global networks
The news media employed in this study is the social networking site Twitter from 2008 to 2018. Companies investigated are included in the CAC 40, AEX 25, and BEL 20
Economic geography typically explains the growth of cultural clusters under self-reinforcing external economies, and scholars point to early-mover advantages of a few cultural clusters in Western economies, such as Los Angeles, Paris, London, Milan, and so on. In this logic, globalization for the cultural industries mainly entails westernization of mass culture and subordination of cultural clusters in emerging economies to peripheral positions in global networks
- It is an understanding that individuals are unique and different
Businesses find ways to incorporate diversity into their workplaces without causing major changes to the way their companies operate.
Recruiting from diverse talent pools to make the company open to employees from various backgrounds.
- Diversity may be infused into advertising practices to ensure products and services are targeted to all consumers who represent the target market, whether through print, online, television or radio
This presentation files shows how we can manage diversity
- The roe of family
- The role of wealth
- The importance for physical space
have affected culture and value of individuals
The news media employed in this study is the social networking site Twitter from 2008 to 2018. Companies investigated are included in the CAC 40, AEX 25, and BEL 20 indices are all free-float market capitalization-weighted indices, lending this research a European flavor and distinguishing it from past studies. Additionally, this master's research examines whether Twitter's volume of tweets and sentiments inherent in them affects the stock market and then adds to the current literature by studying its relationship with the percentage of retail investors and company market capitalization. To attain the objective, a spearman correlation matrix was done between the selected list of market variables and for Twitter to help understand movements in the market, we performed a regression analysis with the use of EViews, R studio, and Microsoft excel which is all open-source statistical software for data processing and analysis.
Our findings demonstrate Twitter's explanatory power in the European market. There is profound negativity amongst online investors from the result which shows a clear negative correlation that occurs between positive and negative tweets. Indeed, both the number of tweets and the negative sentiment expressed in messages correlate with market returns. The regression
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analysis using the Ordinary Least Square method shows from the result that stock prices are affected by emotions, so we accept that negative emotions help explain stock market movements. The number of retweets is also associated with market returns. The more messages about a stock increase it will have a significant impact on stock market investment returns This, therefore, implies when more stocks are discussed on Twitter and likely to be attributed to the negative mode it will have a significant impact on the return for the assets been discussed.
One additional aspect of the research was the invention of a sentiment score that investors and sideline traders can use as a reliable predictive tool for the trading volume of financial assets. The sentiment score was further proven statistically by using a two-factor analysis of the market model to determine the abnormal return and also carry out the regression of the company stock return and the return of the market index from a case study of a tweet from Elon Musk concerning Tesla and Bitcoin. The estimation helps us to test the level of significance of the abnormal return and shows that the sentiment score can be used as a great predictive tool by investors and sideline traders.
With all the elements discovered in the research, investors and sideline traders should be much more watchful when a negative mood is attached to an announcement posted by either an individual or more especially from a company about a financial asset. This is because it can have a significant impact on the behavior of the assets and hence affecting the return for the asset, in this case, the sentiment score methodology can be used as a strong predictive tool to show the impact level when such announcements are been declared.
The news media employed in this study is the social networking site Twitter from 2008 to 2018. Companies investigated are included in the CAC 40, AEX 25, and BEL 20 indices are all free-float market capitalization-weighted indices, lending this research a European flavor and distinguishing it from past studies. Additionally, this master's research examines whether Twitter's volume of tweets and sentiments inherent in them affects the stock market and then adds to the current literature by studying its relationship with the percentage of retail investors and company market capitalization. To attain the objective, a spearman correlation matrix was done between the selected list of market variables and for Twitter to help understand movements in the market, we performed a regression analysis with the use of EViews, R studio, and Microsoft excel which is all open-source statistical software for data processing and analysis.
Our findings demonstrate Twitter's explanatory power in the European market. There is profound negativity amongst online investors from the result which shows a clear negative correlation that occurs between positive and negative tweets. Indeed, both the number of tweets and the negative sentiment expressed in messages correlate with market returns. The regression
8
analysis using the Ordinary Least Square method shows from the result that stock prices are affected by emotions, so we accept that negative emotions help explain stock market movements. The number of retweets is also associated with market returns. The more messages about a stock increase it will have a significant impact on stock market investment returns This, therefore, implies when more stocks are discussed on Twitter and likely to be attributed to the negative mode it will have a significant impact on the return for the assets been discussed.
One additional aspect of the research was the invention of a sentiment score that investors and sideline traders can use as a reliable predictive tool for the trading volume of financial assets. The sentiment score was further proven statistically by using a two-factor analysis of the market model to determine the abnormal return and also carry out the regression of the company stock return and the return of the market index from a case study of a tweet from Elon Musk concerning Tesla and Bitcoin. The estimation helps us to test the level of significance of the abnormal return and shows that the sentiment score can be used as a great predictive tool by investors and sideline traders.
With all the elements discovered in the research, investors and sideline traders should be much more watchful when a negative mood is attached to an announcement posted by either an individual or more especially from a company about a financial asset. This is because it can have a significant impact on the behavior of the assets and hence affecting the return for the asset, in this case, the sentiment score methodology can be used as a strong predictive tool to show the impact level when such announcements are been declared.