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Session 13: From Earnings to Time-weighted Incremental Cashflow Returns
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Corporate Finance Spring 2024 - Session 13: From Earnings to Time-weighted Incremental Cashflow Returns

Master Corporate Finance: From Risk & Valuation to Capital Structure & Real-World Strategy

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What you'll learn

Analyze corporate decisions using the principles of shareholder wealth maximization and its alternatives.
Estimate the cost of capital for a firm using risk models, betas, and debt costs.
Evaluate investment projects and acquisitions using cash flow analysis and capital budgeting techniques.
Determine the optimal mix of debt and equity financing and design appropriate dividend policies.

This course includes

  • 34.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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In today's class, we started the move from cash flows to incremental cash flows by asking two questions: (1) What will happen if you take the project and (2) What will happen if you do not? If the answer is the same to both questions, the item is not incremental. That is why "sunk" costs, i.e., money already spent, should not affect investment decision making. It is also the reason that we add back the portion of allocated G&A that is fixed and thus has nothing to do with this project. Finally, we looked at two time-weighted, incremental cash flow approaches to calculating returns, NPV and IRR, and used them to analyze the Rio Disney theme part. In the second half of the class, I talked about why currency choices should not affect investment decisions (but sometimes do) as well as ways of dealing with uncertainty, ranging from payback to simulations. I also talked about Edward Tufte’s book on the visual display of information, and you can find it at this link: https://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142/ref=sr_1_1?hvadid=241656058541&hvdev=c&hvlocphy=9067609&hvnetw=g&hvqmt=e&hvrand=11533164312248058396&hvtargid=kwd-909679892&hydadcr=3235_10393094&keywords=the+visual+display+of+quantitative&qid=1679504391&sr=8-1 If, like me, you find yourself fascinated by simulations, but your statistics is a little rusty, you can try this paper I have on statistical distributions. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3237778 You don’t have to read the whole paper, just the appendix. Slides: https://pages.stern.nyu.edu/~adamodar/podcasts/cfspr24/session13slides.pdf Post class test: https://pages.stern.nyu.edu/~adamodar/pdfiles/cfovhds/session13test.pdf Post class test solution: https://pages.stern.nyu.edu/~adamodar/pdfiles/cfovhds/session13soln.pdf

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