Author Archives: Kai Chen

Display mean and median test results in Stata

Sometimes we may want to produce the following table to compare the mean and median of two groups: First of all, please refer to this post to see Stata commands to test equality of mean and median. However, it is … Continue reading

Posted in Stata | 19 Comments

Stata commands to do Heckman two steps

We often see Heckman’s two steps in accounting literature. But how to do it in Stata? The two steps refer to the following two regressions: Outcome equation: y = X × b1 + u1 Selection equation: Dummy = Z × … Continue reading

Posted in Stata | 5 Comments

The calculation of average credit rating using ratings from three rating agencies

I was doing something in Finance and wanted to calculate the average rounded credit rating. Basically, I need to translate textual grades (e.g., AAA, Baa) to a numerical value. I found a clue in the following paper: Becker, B., and … Continue reading

Posted in Data | 1 Comment

Stata commands to test equality of mean and median

Please read this post for how to display the results in a ready-for-use format. UCLA IDRE has posted an article (link) that may provide a bit more explanation. UCLA IDRE is a great resource for learning statistical analysis. A big thank you … Continue reading

Posted in Stata | 2 Comments

Stata command to display combined Pearson and Spearman correlation matrix

Oftentimes we would like to display Pearson correlations below the diagonal and Spearman correlations above the diagonal. Two built-in commands, pwcorr and spearman, can do the job. However, we have to manually combine Stata output tables when producing the correlation table … Continue reading

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Stata command to convert string GVKEY to numerical GVKEY or vice versa

The default type of GVEKY in Compustat is string. Sometimes, we need it to be a numerical type in Stata (e.g., when we want to use the super handy command tsset). The command to convert string GVKEY to numerical GVEKY … Continue reading

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Stata command to calculate the area under ROC curve

If we want to evaluate the predictive ability of a logit or probit model, Kim and Skinner (2012, JAE, Measuring securities litigation risk) suggest that A better way of comparing the predictive ability of different models is to use the Receiver … Continue reading

Posted in Stata | 1 Comment

Stata commands to calculate skewness

Suppose we are going to calculate the skewness of 12 monthly returns. The 12 returns may be stored in a row (Figure 1) or in a column (Figure 2). This post discusses how to calculate the skewness in these two … Continue reading

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Use Python to download lawsuit data from Stanford Law School’s Securities Class Action Clearinghouse

[Update on 2019-07-07] I am grateful to Shiyu Chen, my research assistant, who did a very good job on not only web scraping the top-level table, but also extracting from the case summary page additional information (link to case summary … Continue reading

Posted in Python | 6 Comments

Calculate idiosyncratic stock return volatility

I have noted two slightly different definitions of idiosyncratic stock return volatility in: Campbell, J. Y. and Taksler, G. B. (2003), Equity Volatility and Corporate Bond Yields. The Journal of Finance, 58: 2321–2350. doi:10.1046/j.1540-6261.2003.00607.x Rajgopal, S. and Venkatachalam, M. (2011), … Continue reading

Posted in SAS | 8 Comments