Markets and Fundamentals: The Evidence  107 levels of ROIC. Utilities and companies in metals and mining were valued at low market-value-to-capital multiples because of their low returns on capital and low expected growth. Note that the ratios of market value to earnings show less variation across sectors, reflecting investor expectations of converg- ing earnings growth in the long term. The same principles apply to individual companies. We compared the ratios of market value to capital of all the companies in the same sample versus their expected ROIC and growth. Exhibit 7.7 shows that, for a given level of growth, higher rates of ROIC generally lead to higher market values, and above a given level of ROIC, higher growth also leads to higher value. Although the empirical results do not fit the theoretical model perfectly, they still clearly demonstrate that the market values companies based on growth and ROIC. For example, consider the fact that valuation multiples in the United States tend to be higher than in most other countries. That fact has even made some European companies consider relisting their stocks in the U.S. stock market in the hope of obtaining a higher valuation. As we discuss later in this chapter, however, such hope is false. U.S. investors do not pay more than European investors for the same stock. The difference in valuation mul- tiples can be explained by underlying fundamentals. First, there is a marked difference in sector composition between the U.S and European economies. The technology and life science sectors, which have high valuation multiples, carry far more weight in the U.S. economy. Second, we find that U.S. compa- nies typically generate higher returns on capital than European companies in the same sector. EXHIBIT 7.7  Market Value, ROIC, and Growth: Empirical Relationship Global companies with real revenues > $1 billlion Market value/capital,1 2018, median Growth,3 % Market value/earnings,1 2018, median Growth,3 % 12 10 8 6 4 2 0 <0 >10 0–2.5 2.5–5 5–7.5 7.5–10 >30 10–20 <10 20–30 12 10 8 6 4 2 0 <0 >10 0–2.5 2.5–5 5–7.5 7.5–10 >30 10–20 <10 20–30 ROIC,2 % ROIC,2 % 1 Market value is enterprise value, capital is invested capital excluding goodwill, and earnings is earnings before interest, taxes, depreciation, and amortization (EBITDA). 2 Average return on invested capital excluding goodwill over 2016–2017. 3 Analyst consensus forecast of annual earnings growth from 2018 to 2020. Source: Corporate Performance Analytics by McKinsey. 108  The Stock Market Is Smarter Than You Think Deviations from Fundamentals Nevertheless, there have been periods when deviations from economic fun- damentals were so significant and widespread that they affected the stock market as a whole. Two examples are the technology bubble that burst in 2000 and the credit bubble that collapsed in 2007 (see Exhibit 7.8). The technology market boom is a classic example of a valuation bubble, in which stocks are priced at earnings multiples that underlying fundamentals cannot justify. When Netscape Communications became a public company in 1995, it saw its market capitalization soar to $6 billion on an annual revenue base of just $85 million. As investors quickly became convinced that the Inter- net would change the world, they sent the Standard & Poor’s (S&P) 500 index to a new peak in 2000. By 2003, the index had tumbled back to half that level. Although the valuation of the market overall was affected, the technology bubble was concentrated in technology stocks and certain very large stocks (so-called megacaps) in other sectors. Before and after the bubble, the P/Es of the 30 largest companies were about the same on average as those of the other 470 companies in the index (see Exhibit 7.9). However, in 1999, the average EXHIBIT 7.8  U.S. and European Equity Markets in High-Tech and Credit Bubbles U.S. and European total return index (January 1991 = 100) S&P 500 $ 1,400 1,600 1,200 1,000 800 600 400 200 0 Jan 1991 Jan 1993 Jan 1995 Jan 1997 Jan 1999 Jan 2001 Jan 2003 Jan 2005 Jan 2007 Jan 2009 Jan 2011 Jan 2013 Jan 2015 Jan 2017 Jan 2019 Sep 2000 Oct 2007 FTSE Eurofirst 300 € 1,400 1,600 1,200 1,000 800 600 400 200 0 Jan 1991 Jan 1993 Jan 1995 Jan 1997 Jan 1999 Jan 2001 Jan 2003 Jan 2005 Jan 2007 Jan 2009 Jan 2011 Jan 2013 Jan 2015 Jan 2017 Jan 2019 Sep 2000 Oct 2007 Source: S&P Capital IQ. EXHIBIT 7.9  Impact of Largest Stocks on Overall Market Valuation 12-month trailing price-to-earnings ratios 30 23 46 15 15 9 9 24 28 15 9 P/E of remaining companies P/E of 30 largest companies P/E for S&P overall 25 1980 1990 1999 2001 Source: Compustat.