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Basic Question 0 of 8
One model specification principle that is the opposite of data mining is:
B. The model should be grounded in cogent economic reasoning.
C. The functional form chosen for the variables in the regression should be appropriate given the nature of the variables.
A. The model should be parsimonious.
B. The model should be grounded in cogent economic reasoning.
C. The functional form chosen for the variables in the regression should be appropriate given the nature of the variables.
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Learning Outcome Statements
calculate and interpret alternative price multiples and dividend yield;
calculate and interpret underlying earnings, explain methods of normalizing earnings per share (EPS), and calculate normalized EPS;
explain and justify the use of earnings yield (E/P);
describe fundamental factors that influence alternative price multiples and dividend yield;
calculate and interpret the justified price-to-earnings ratio (P/E), price-to-book ratio (P/B), and price-to-sales ratio (P/S) for a stock, based on forecasted fundamentals;
calculate and interpret a predicted P/E, given a cross-sectional regression on fundamentals, and explain limitations to the cross-sectional regression methodology;
evaluate a stock by the method of comparables and explain the importance of fundamentals in using the method of comparables;
calculate and interpret the P/E-to-growth ratio (PEG) and explain its use in relative valuation;
calculate and explain the use of price multiples in determining terminal value in a multistage discounted cash flow (DCF) model;
explain alternative definitions of cash flow used in price and enterprise value (EV) multiples and describe limitations of each definition;
calculate and interpret EV multiples and evaluate the use of EV/EBITDA;
CFA® 2025 Level II Curriculum, Volume 4, Module 23.