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Data: Trickle to a Flood! It is perhaps a reflection of my age that I remember when getting data to do corporate financialanalysis or valuation was a chore. In the three posts that follow, I will look at the shifts in corporate hurdlerates (in post 6), debt loads and worries (in post 7) and dividends/cash returned in post 8.
The Variables As I mentioned at the start of this post, this entire exercise of collecting and analyzing data is a selfish one, insofar as I compute the data variables that I find useful when doing corporate financialanalysis, valuation, or investment analysis. Insider, CEO & Institutional holdings 2. Beta & Risk 1.
It is perhaps a reflection of my age that I remember when getting data to do corporate financialanalysis or valuation was a chore. Sectors and Industries : To make data useful for corporate financialanalysis and valuation, I break the companies down into groupings, based upon the sectors and industries that they operate in.
Since my interests lie in corporate finance and valuation, the statistics that I compute are numbers that I will find useful when doing a corporate financialanalysis or valuation of a company. Data Update 4 for 2021: The HurdleRate Question. Data Update 2 for 2021: The Price of Risk!
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