Research Topic: The Impact of the COVID-19 Pandemic on the Financial Market

 

Methodology

This research will employ a mixed-methods approach, combining qualitative data collection through questionnaires and secondary data analysis. The questionnaires will be distributed to respondents, including industry experts, economists, and market participants, to gather their insights on the effects of the COVID-19 pandemic on the financial market. The qualitative data collected will be analyzed using correlation statistics and descriptive statistics to establish the relationships and patterns between the variables.

 

Data Requirements

To support this analysis, the following data will be required:

Financial market data: Historical stock market indices, asset prices, trading volumes, and volatility measures.

Economic data: GDP growth rates, unemployment rates, inflation rates, and government stimulus packages.

News and media reports: Analysis of media coverage on the financial market and the COVID-19 pandemic.

Questionnaire responses: Qualitative data from respondents' opinions and experiences

Access to timely and accurate data is crucial for this research. Efforts will be made to obtain access to relevant datasets from reliable sources, such as financial institutions, government agencies, and academic research databases.

Help please with all the bullet points!

Complete an in-depth analysis of the data sources and elements you will use for your project.  Data discovery involves identifying potential sources of the data you need and narrowing it down to those sources that are relevant and can be obtained.  Preliminary data analysis involves a careful examination of the data you identify to ensure its quality and to ensure that it is relevant to the business problem you are analyzing.

Your submission should be three to four double-spaced pages, not including data tables and charts which should be placed in a properly titled appendix with each table or chart labeled appropriately and referenced in the paper. Also, include your Excel workbook with your preliminary data analysis.

Your submission must include the following sections: 

• Help please with all the bullet points!

  Complete an in-depth analysis of the data sources and elements you will use for your project.  Data discovery involves identifying potential sources of the data you need and narrowing it down to those sources that are relevant and can be obtained.  Preliminary data analysis involves a careful examination of the data you identify to ensure its quality and to ensure that it is relevant to the business problem you are analyzing.

  Your submission should be three to four double-spaced pages, not including data tables and charts which should be placed in a properly titled appendix with each table or chart labeled appropriately and referenced in the paper. Also, include your Excel workbook with your preliminary data analysis.

  Your submission must include the following sections: 

• Also, include your Excel workbook with your preliminary data analysis.
• Data Discovery and Preliminary Data Analysis

 

Data Sources:  Identify each data source to be used in your analysis.  Identify the business source of its origin and discuss its relevance to the project in terms of the business source originating it.  There is no need to discuss data sources you evaluated, but you are not planning use for the analysis.

Data Elements:  Define each data element used in the analysis and its relevance to the analysis.  This may be done in a table and placed in the appendix if it is lengthy.

Data Quality:  Discuss the quality of the data sources and elements you will be using in terms of relevance to the business problem, completeness, and correctness.  State how any issues with data quality will impact the applicability of your analysis.

 Descriptive Statistics:  Provide basic descriptive statistics such as means, variances, data distributions, etc.  that allow you to understand if there are outliers or issues to be dealt with in your data.

Managerial Summary:  What is your overall assessment of the data sources, their availability, their quality, and how will they allow you to address the problem you have chosen?