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Along the way, more people than I ever imagined have found my data of use, and while I still have no desire to be a data service, I have an obligation to be transparent about my data analysis processes. Tax rates 4. Financing Flows 5. Insider, CEO & Institutional holdings 2. Aggregate operating numbers 3. Beta & Risk 1.
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. Check rules of thumb : Investing and corporate finance are full of rules of thumb, many of long standing.
In every introductory finance class, you begin with the notion of a risk-free investment, and the rate on that investment becomes the base on which you build, to get to expected returns on risky assets and investments. Why does the risk-free rate matter? and the reverse will occur, when risk-free rates drop.
It is perhaps a reflection of my age that I remember when getting data to do corporate financialanalysis or valuation was a chore. Check rules of thumb : Investing and corporate finance are full of rules of thumb, many of long standing. Data: Trickle to a Flood!
The first is that I do not have a macro focus, and my interests in macro variables occur only in the context of corporate finance or valuation issues. 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.
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