Remove Dividends Remove EBITDA Remove Risk Premium
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The Dividend Discount Model (DDM): The Black Sheep of Valuation?

Brian DeChesare

When I started offering financial modeling training , I never expected to get questions about a methodology like the Dividend Discount Model (DDM). Otherwise, the written version follows: Why Use a Dividend Discount Model? The main argument in favor of the DDM is that it best represents what happens in real life when you buy a stock.

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Methods of Business Valuation by Their Profitability

Equilest

We note that the higher the expected rate (in other words, the greater the risk is perceived as necessary, to the point of requiring a substantial "risk premium"), the lower the multiple that will apply and therefore the lower valuation: we buy cheaper which is less safe. EBITDA and EBIT). 11% per year. 10% per year.

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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.

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Data Update 5 for 2024: Profitability - The End Game for Business?

Musings on Markets

In my last three posts, I looked at the macro (equity risk premiums, default spreads, risk free rates) and micro (company risk measures) that feed into the expected returns we demand on investments, and argued that these expected returns become hurdle rates for businesses, in the form of costs of equity and capital.

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

Musings on Markets

I have also developed a practice in the last decade of spending much of January exploring what the data tells us, and does not tell us, about the investing, financing and dividend choices that companies made during the most recent year. Beta & Risk 1. Dividends and Potential Dividends (FCFE) 1. Equity Risk Premiums 2.

Dividends 105
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Data Update 4 for 2024: Danger and Opportunity - Bringing Risk into the Equation!

Musings on Markets

In the last table, I look at the intrinsic risk measures, broken down by company age: Not surprisingly, there are more money losing young companies than older ones, and these young companies also have more volatile earnings.

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Data Update 1 for 2025: The Draw (and Danger) of Data

Musings on Markets

Thus, as you peruse my historical data on implied equity risk premiums or PE ratios for the S&P 500 over time, you may be tempted to compute averages and use them in your investment strategies, or use my industry averages for debt ratios and pricing multiples as the target for every company in the peer group, but you should hold back.