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New facts in finance

23 pages
New facts in financeJohn H. CochraneIntroduction and summary economists view of the investment world was basedon three bedrocks:The last 15 years have seen a revolution in the way1. The CAPM is a good measure of risk and thusfinancial economists understand the investment world.a good explanation of the fact that some assets (stocks,We once thought that stock and bond returns wereportfolios, strategies, or mutual funds) earn higheressentially unpredictable. Now we recognize thataverage returns than others. The CAPM states thatstock and bond returns have a substantial predictableassets can only earn a high average return if theycomponent at long horizons. We once thought thathave a high beta, which measures the tendencythe capital asset pricing model (CAPM) provided aof the individual asset to move up or down with thegood description of why average returns on somemarket as a whole. Beta drives average returns becausestocks, portfolios, funds, or strategies were higher thanbeta measures how much adding a bit of the asset toothers. Now we recognize that the average returns ofa diversified portfolio increases the volatility of themany investment opportunities cannot be explainedportfolio. Investors care about portfolio returns, notby the CAPM, and multifactor models are used inabout the behavior of specific assets.its place. We once thought that long-term interest2. Returns are unpredictable, like a coin flip. Thisrates reflected ...
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e mid-1980s, financial 36 Economic Perspectives that short-term interest rates are expected to rise in Now, we know that: the future. Over one year, the rise in interest rates will 1. There are assets whose average returns can limit the capital gain on long-term bonds, so they earn not be explained by their beta. Multifactor extensions the same as the short-term bonds over the year. Over of the CAPM dominate the description, performance many years, the rise in short rates improves the rate attribution, and explanation of average returns. Mul- of return from rolling over short-term bonds to equal tifactor models associate high average returns with a that of holding the long-term bond. Thus, you expect tendency to move with other risk factors in addition to earn about the same amount on short-term or long- to movements in the market as a whole. (See box 1.) term bonds at any horizon. 2. Returns are predictable. In particular: Variables Foreign exchange bets are not predictable. If a including the dividend/price (d/p) ratio and term pre- country has higher interest rates than are available in mium can predict substantial amounts of stock return the U.S. for bonds of a similar risk class, its exchange variation. This phenomenon occurs over business rate is expected to depreciate. Then, after you con- cycle and longer horizons. Daily, weekly, and monthly vert your investment back to dollars, you expect to stock returns are still close to unpredictable, and tech- make the same amount of money holding foreign or nical systems for predicting such movements are still domestic bonds. close to useless. In addition, stock market volatility does not Bond returns are predictable. Though the expec- change much through time. Not only are returns close tations model works well in the long run, a steeply to unpredictable, they are nearly identically distributed upward sloping yield curve means that expected as well. Each day, the stock market return is like the returns on long-term bonds are higher than on short- result of flipping the same coin, over and over again. term bonds for the next year. These predictions are not 3. Professional managers do not reliably outper- guarantees there is still substantial risk but the form simple indexes and passive portfolios once one tendency is discernible. corrects for risk (beta). While some do better than the Foreign exchange returns are predictable. If you market in any given year, some do worse, and the put your money in a country whose interest rates are outcomes look very much like luck. Funds that do well higher than usual relative to the U.S., you expect to in one year are not more likely to do better than aver- earn more money even after converting back to dollars. age the next year. The average actively managed fund Again, this prediction is not a guarantee exchange performs about 1 percent worse than the market index. rates do vary, and a lot, so the strategy is risky. The more actively a fund trades, the lower the returns Volatility does change through time. Times of to investors. past volatility indicate future volatility. Volatility also Together, these views reflect a guiding principle is higher after large price drops. Bond market volatili- that asset markets are, to a good approximation, infor- ty is higher when interest rates are higher, and possi- mationally efficient (Fama, 1970, 1991). Market prices bly when interest rate spreads are higher as well. already contain most information about fundamental 3. Some mutual funds seem to outperform simple value and, because the business of discovering infor- indexes, even after controlling for risk through market mation about the value of traded assets is extremely betas. Fund returns are also slightly predictable: Past competitive, there are no easy quick profits to be made, winning funds seem to do better than average in the just as there are not in any other well-established future, and past losing funds seem to do worse than and competitive industry. The only way to earn large average in the future. For a while, this seemed to indi- returns is by taking on additional risk. cate that there is some persistent skill in active man- These views are not ideological or doctrinaire agement. However, multifactor models explain most beliefs. Rather, they summarize the findings of a quar- fund persistence: Funds earn persistent returns by ter century of careful empirical work. However, every following fairly mechanical styles, not by persistent one of them has now been extensively revised by a skill at stock selection. new generation of empirical research. The new find- Again, these statements are not dogma, but a ings need not overturn the cherished view that markets cautious summary of a large body of careful empirical are reasonably competitive and, therefore, reasonably work. The strength and usefulness of many results efficient. However, they do substantially enlarge our are hotly debated, as are the underlying reasons for view of what activities provide rewards for holding many of these new facts. But the old world is gone. risks, and they challenge our understanding of those risk premiums. Federal Reserve Bank of Chicago 37 e l l = b l BOX 1 The CAPM and multifactor models The CAPM uses a time-series regression to mea- Multifactor models extend this theory in a sure beta, , which quantifies an asset s or portfo- straightforward way. They use a time-series multi- lio s tendency to move with the market as a whole, ple regression to quantify an asset s tendency to A B move with multiple risk factors F , F , etc. i f m f iRR-=+abe()-R+R;t t iimt t t i f m f A B3)(RR-=+abb-R+R)+FbFt t iimt t iA t iB ttT1,.2.. for each asseti. i++... ;=tT12, ... for each asseti.t Then, the CAPM predicts that the expected excess return should be proportional to beta, Then, the multifactor model predicts that the expected excess return is proportional to the betas i fER()-=Rbl for eachi.t t im m i f4) ER( -=R) bl+bl+bl + ...t t im m iA A iB B gives the price of beta risk or market risk pre- m for each i. mium the amount by which expected returns must rise to compensate investors for higher beta. The residual or unexplained average return in Since the model applies to the market return as either case is called an alpha, well, we can measure via m i f m f ab¢-ER( R-) (l+b+l+ ...).it t im m iA A iB B=-ER()R. mt t The CAPM and multifactor models line by fitting a cross-sectional regression (average return against beta), shown in the colored line, rather The CAPM than forcing the line to go through the market and The CAPM proved stunningly successful in a Treasury bill return, shown in the black line, halves quarter century of empirical work. Every strategy that seemed to give high average returns turned out to have a high beta, or a large tendency to move with FIGURE 1 the market. Strategies that one might have thought CAPM Mean excess returns vs. beta, version 1 gave high average returns (such as holding very vol- atile stocks) turned out not to have high average mean excess returns, percent returns when they did