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Data Update 1 for 2024: The data speaks, but what does it say?

Musings on Markets

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. Standard Deviation in Equity/Firm Value 2. Book Value Multiples 3. EBIT & EBITDA multiple s 5.

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Data Update 1 for 2023: Setting the table!

Musings on Markets

By the same token, it is impossible to use a pricing metric (PE or EV to EBITDA), without a sense of the cross sectional distribution of that metric at the time. For example, I have seen it asserted that a stock that trades at less than book value is cheap or that a stock that trades at more than twenty times EBITDA is expensive.