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Session 22: Pricing Closure and Asset-based Valuation/Pricing

1:17:37
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Session 21 (UG) and Session 19 (MBA): Pricing Analytics and Peer Groups

1:16:15
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Session 20: Tariff Talk

46:44
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Session 19: Pricing Continued

1:17:10
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Session 18: Intrinsic Value Closure and Pricing Beginnings

1:27:59
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Session 17: Valuing Declining, Emerging Market and Financial Service companies

1:34:58
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Session 16: Valuing the market and companies across the life cycle

1:17:09
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Session 15: More Storytelling and First Company Valuations (FINC-UB)

1:16:58
9

Session 14: Last Loose Ends + First Steps on Storytelling (FINC-UB)

1:17:17
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Session 13: Loose Ends in Valuation (FINC-UB)

1:20:42
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Session 12: The Terminal Value (FINC-UB)

44:54
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Session 11: Closure on Growth and First Steps on Terminal Value (FINC-UB)

1:33:01
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Session 10: FCFE Closure and First Steps on Growth (FINC-UB)

1:49:10
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Session 9: Tax Rates, Cap Ex and Working Capital (FINC-UB)

1:18:35
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Session 8: Cost of Capital Closure + First Steps on Cash Flows (FINC-UB)

1:19:56
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Session 7: Betas, Relative Risk and First Steps on Cost of Debt (FINC-UB)

1:17:16
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Session 6: Implied Equity Risk Premiums (FINC-UB)

1:18:22
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Session 5: Finishing up Riskfree Rates and Moving on to Risk Premiums (FINC-UB)

1:17:02
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Session 4: The DCF Big Picture and First Steps on Risk-Free Rates (FINC-UB)

1:17:38
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Session 3: Valuation Approaches (Continued) and First Steps on Intrinsic Value (FINC-UB)

1:17:50
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Session 2: The Bermuda Triangle of Valuation (FINC-UB)

1:17:16
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Session 1: Class Logistics and Structure (FINC-UB)

1:15:51

Session 18: Intrinsic Value Closure and Pricing Beginnings

Kerschner Family Chair in Finance Education

1:27:59·2025·undergraduate level

Professor Damodaran explicates the mechanisms of intrinsic value convergence, the role of Monte Carlo simulations in commodity valuation, and introduces relative valuation frameworks, including the consistent definition and estimation of pricing multiples.

In the context of valuing commodity companies, I talked about how Monte Carlo simulations can help deal with uncertainty. If you decide to go that route, you can use Crystal Ball (an add on to Excel and freely available to Stern students) to make your excel spreadsheet valuation into a simulation. Finally, in the context of talking about value vs price, and the efficient market view of the gap, I mentioned a documentary on efficient market investing. Here is the WSJ article linking to it:

We then moved on to the gap, the different views of the gap and why that gap might or might not close.

In the second part of the class, we turned to pricing, and laid the framework for thinking about multiples as standardized prices, and why it is critical that we make sure that they are consistently defined and uniformly estimated.

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