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

Musings on Markets

In short, if you don't like betas and have disdain for modern portfolio theory, your choice should not be to abandon risk measurement all together, but to come up with an alternative risk measure that is more in sync with your view of the world.

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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. Debt Details 1.

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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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