This article is related to identification and treatment of missing values in Stata. Sometimes data have missing values that can affect the statistical analysis and validity of the data. There could be many possible reasons for existence of missing values in data. These reasons can include non-response from interviewee’s, missing data entries or/and data loss […]
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In the previous article, we discussed how the stock return can be calculated manually. However, in this article, we are going to learn how stock returns can be calculated through ascol command in Stata. We are using the below dataset, which contains three variables, closing price, symbol code, and date. Download Example File The command
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In this article, we will shed light on the portfolio’s construction and how its returns (both value weighted and equally weighted returns) can be calculated. The data required to construct the portfolio and return is shown in the figure below. The data set is a panel that includes multiple firms’ data for years. Download Example
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This article is focused on standardized variable, normalization of variable and mean centering of variable in Stata. A standardized variable is a variable rescaled to have a mean of zero or close to zero and standard deviation one. Standardizing variables become necessary when the data requires you to assign equal weight to each variable. Once
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Box plot is a type of graph or plot, used to visualize the five number summary of a data set. The five number summary includes mean, median, first Quartile, third Quartile, maximum values. Box Plot can be generated in the Stata. To go into detail and learn how to create a box plot in Stata,
