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Betas: Back to normal

Betas that were artificially low after the market bubble of the 1990s have returned to normal.

One of the by-products of the technology market bubble in the late 1990s and the subsequent correction after 2000 was a sharp distortion in betas, the traditional measure of risk that companies use to estimate their cost of capital.1 The telecommunications, media,and technology (TMT) sectors led a sharp rise and fall in the market, making other industries appear almost flat by comparison and thus lowering non-TMT betas. The beta for electric utilities, for example, dropped from 0.6 in 1998 to 0.1 in 2001, falsely suggesting that the sector's risk level had become unrealistically low—and implying a two-percentage-point decline in the industry's cost of capital.2 Indeed, most non-TMT sectors saw similar significant declines.

Our analysis from 2003 determined that the decline in betas was a distortion caused by the increased weight of TMT shares in broader market indexes, such as the SS&Pamp;P 500, during the bubble. As a result of this distortion, certain sectors (including automotive, chemicals, consumer goods, and utilities) showed a much lower correlation with market indexes, pushing down those sectors' betas. And although TMT valuations had declined significantly by 2003, betas remained skewed because these calculations typically rely on historical performance over the previous three to five years. We anticipated that this bias in estimates of betas would disappear within a couple of years and advised practitioners to adjust their calculations in the meantime.

We are now nearing the end of the three- to five-year period when calculations of betas would include the bubble years. In comparing our earlier analysis with what has since transpired in the markets, we find that betas for non-TMT sectors in 2006 have indeed risen to their prebubble levels (Exhibit 1), but not because the non-TMT sectors have become more volatile. Rather, their correlation with the market index has increased as the weight of TMT shares in the index has declined from 15 to 20 percent (Exhibit 2).3

 

These findings mean that the impact on betas of the high-tech market bubble has disappeared for most sectors and companies (Exhibit 3). The corrections of beta estimates that we suggested three years ago are no longer needed. Even so, this episode reminds practitioners to be careful when using estimates of historical risk as a proxy for forward-looking risk. Because we cannot directly measure forward-looking betas, we usually rely on historical data and make an implicit assumption that they are reasonable proxies for the future. This assumption clearly didn't hold during and immediately after the tech bubble. Such a disconnect could happen again, possibly under very different market circumstances.

About the Authors

André Annema is a consultant and Marc Goedhart is an associate principal in McKinsey's Amsterdam office.

This article was first published in the Summer 2006 issue of McKinsey on Finance. Visit McKinsey's corporate finance site to view the full issue.

Notes

1 André Annema and Marc H. Goedhart, "A better beta," The McKinsey Quarterly, 2003 Number 1, pp. 6–9. Beta is a measure of the systematic (nondiversifiable) risk of a stock or sector index. A company's beta indicates how much its stock is expected to move in relation to the market as a whole. A beta greater than 1 suggests that the stock will move in the same direction as the market but by a greater amount. If, for instance, the stock market achieves an excess return of 5 percent above the risk-free rate, a stock with a beta of 1.2 is expected to achieve an excess return of 6 percent (1.2 × 5 percent) above the risk-free rate. The larger a company's or sector's beta, it is argued, the greater the returns investors expect and hence the greater the cost of capital.

2 The cost of equity equals the risk-free rate plus the beta multiplied by the market risk premium (Ke = rf + beta × MRP). A change in beta of 0.5 multiplied by a market risk premium of 4 percent results in a two-percentage-point change in the cost of equity.

3 Correlations of stock returns with market index returns were estimated using data from the most recent three years.

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