Data Handling & Descriptive Statistics Flashcards
Give examples of times when we would need quantitative methods for business decisions.
Testing whether financial markets are weak-from efficient (EMH), testing the CAPM, forecasting the correlation between the returns of the stock indices of two companies or countries
What are the different types of data?
Time series, cross-sectional, panel data, and quantitative vs qualitative data
Give examples of data and frequencies.
GDP or unemployment, firm stock prices or indices
Give examples of problems where time series tools can be used.
How the value of a company’s stock price has varied when it announced the value of its dividend payment and the effect on a country’s currency after an increase in its interest rate
What is cross-sectional data?
Data on one or more variables collected at a single point in time
Give examples of cross-sectional data.
Cross-section of stock returns on the FTSE 100 and a sample of bond credit ratings for UK banks
What problems can arise using the cross-sectional approach?
The relationship between company size and the return to investing in its shares and the relationship between a country’s GDP level and the probability that the government will default on its sovereign debt
What is panel data?
Having the dimensions of both time series and cross-sections
Give an example of panel data.
The daily prices of a number of blue chip stocks over two years
What are the graphical methods that can be used?
Time series graph (line chart), histograms, scatter graph
How can we transform data?
By using calculations in order to see whether the information can be obtained from the data
What information can we obtain from a time-series graph?
Relationships, whether there has been a rise or drop
What information can we obtain from a histogram?
We are able to group different countries and see how many countries belong to a specific group
What information can we obtain from a scatter graph?
Relationships, comparing, any outliers
What are descriptive statistics?
Numbers which summarise properties of a single variable