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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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A Follow up on Inflation: The Disparate Effects on Company Values!

Musings on Markets

In a final assessment, I break down companies based upon operating cash flows (EBITDA as a percent of enterprise value) and dividend yield (dividends as a percent of market capitalization). On bond ratings, there is no discernible link between ratings and returns, until you get to the lowest rated bonds (CCC & below).

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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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Oil & Gas Investment Banking: The First Victim of the ESG Cult?

Brian DeChesare

If Midstream companies want to grow beyond the fee increases written into their contracts and possible volume growth, they need to spend on Growth CapEx and estimate the incremental EBITDA from that spending: Further adding to the complexity is the GP (General Partner) / LP (Limited Partner) structure used at most MLPs.

Banking 82
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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. Return on Equity 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

Your answer to that question will determine not just how you approach running the business, but also the details of how you pick investments, choose a financing mix and decide how much to return to shareholders, as dividend or buybacks.

Equity 79