Aswath Domodaran
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Finance professor at NYU Stern School of Business, valuation expert, author
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Claims by Aswath Domodaran (20 of 35)
Domodaran's Uber valuation project asks students to make narrative choices (is Uber a car service or transportation company? Local or global?) and shows that depending on narrative, Uber's value could range from $800 million to $95 billion, demonstrating that valuation differences stem from narrative disagreement, not arithmetic errors
Investors are divided into two psychological types—story people (creative, who rely on narrative) and numbers people (analytical, who grind through data)—and successful valuation requires integrating both: story people need quantitative discipline, numbers people need imagination to tell a coherent story about the business
Venture capitalists criticize DCF (Discounted Cash Flow) valuation as inappropriate for young companies, but this criticism misunderstands what DCF is: at its core, DCF simply states that a business's value equals the present value of expected cash flows, which is a fundamental truth that has always applied regardless of the company's stage
In a simple envelope auction, someone offered to pay $24 for an envelope containing a $20 bill with a card labeled 'Control' because investment banks train analysts that acquiring control of a company yields a 20% premium, despite control having no value unless it changes the company's cash flows or risk
The 'It Proposition': if something does not affect cash flows and does not affect risk, it cannot affect value; this principle should discipline valuation by requiring that any claim about value creation (e.g., from control or synergy) must specify what it will change about the company's cash flows or risk
When valuing a company in transition or in a changing market, searching for information requires focused, hypothesis-driven research rather than blind internet searches; the valuator should open a spreadsheet listing the inputs needed for the valuation and search specifically for those inputs, avoiding distraction from interesting but irrelevant information
Mature companies like 3M can be valued with relatively high confidence using historical data because there is extensive history to draw from and the future is likely to resemble the past; young growth companies require more complex, narrative-driven approaches because there is little history and the future will likely diverge significantly from the past
Most of what passes for valuation on Wall Street is actually pricing—determining what comparable companies trade at and applying similar multiples—rather than true valuation based on cash flows, growth, and risk; real estate agents price houses by comparing similar properties, and equity analysts do the same with stock multiples
Domodaran valued Apple in March 2013 with a base case of $580, when the stock was trading at $450, and used Monte Carlo simulation with 100,000 draws to assess uncertainty rather than a single point estimate, finding a 90% probability that Apple was undervalued based on the distribution of outcomes rather than just the central estimate
Domodaran spent 97% of his analytical time on cash flow estimation for Twitter and only 3% on the discount rate, using an 11% rate (95th percentile of U.S. companies) without detailed analysis because he believes the biggest risks to valuation accuracy come from growth and margin assumptions, not the discount rate
Social media companies are like operating a 'gigantic store with nothing on the shelves and lots of foot traffic'—you have users and engagement but no mechanism to monetize, so you're betting that if you build user base, ways to make money will eventually emerge ('if we build it, he will come')
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