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Tests on the U.S. data do not indicate that the small average premiums observed in the returns on long-term versus short-term Government bonds are badly out of line with the predictions of asset pricing models. The models do not predict big differences in the returns on long-term and short-term governments, and the observed premiums are statistically consistent with the models. The same is true for the rather small premiums of corporate bond returns over Government bond returns. Is the absence of a meaningful premium for US long-term bonds relative to short-term bonds evidence of market inefficiency? Does this relation hold in other global bond markets? (Read the full entry)
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KRF: Dick is referring to the behavior of stock prices during the tech boom and bust of 1995-2001. Gene is certainly right that market efficiency requires prices to adjust to new information about future cashflows and discount rates. (Read the full entry)
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KRF: We analyze a general version of this question in "Disagreement, Tastes, and Asset Pricing" (Journal of Financial Economics, 2007). Suppose index fund investors hold a passive market portfolio. Then from a pricing perspective they are sitting on the sideline. They are not overweighting or underweighting any securities, so they do not affect (relative) prices. As a result, it is hard to argue that they contribute to mispricing. (Read the full entry)
KRF: Takeover premiums do not imply that the target firms were mispriced. Since we do not expect the market to accurately forecast every acquisition that will create value, we should not be surprised that prices rise when tender offers and mergers are announced.
EFF: All the evidence I know says that market predictions are unbiased. It's understandable, however, that hedge fund managers are immune to this evidence since it's a threat to their existence.
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EFF: Theoretically, derivatives increase the range of bets people can make, and this should help to wipe out potential inefficiencies. Whether this actually happens is a difficult, perhaps impossible, empirical question. The "problem" is that markets seemed rather efficient before Black-Scholes (which initiated the derivatives industry), so there wasn't much for derivatives to do.
(Read the full entry)EFF: This is a market efficiency question. If firms facing extreme financial difficulty are properly priced to take account of the risks they face, there is no reason to avoid them, unless you don't like the risks.
KRF: Whenever you think about a proposition like this, you should ask yourself, "What do you know that the market doesn't?" Does the market know the firms are facing extreme difficulty? If so, your best bet is that the price is right. This does not mean that the price is always right, or even that the market always incorporates all publicly available information. Sure the price of a distressed firm may be too high, but it is equally likely it is too low. To decide how the market has erred in a specific case, you have to know more than the market or you need a better model than the market. Although most investors seem to think they have the expertise to beat the market, an enormous amount of empirical evidence says this is a very high bar.
KRF: Market efficiency does not imply prices cannot change. It does not even say they cannot change by a lot. The key question is whether we should have known the Dow would drop from 14,000 to 7500. Some who made fortunes by anticipating the drop seem to have convinced many observers that the outcome was obvious, but that is just history being written by the victor. Unlike the technology boom of 1999-2000, I don't recall lots of conversations in which people struggled to understand why the Dow was at 14,000.
EFF/KRF: The market turmoil is caused by some combination of (i) quickly fluctuating changes in expected cashflows (future profitability), and (ii) variation in investor risk aversion that leads to variation in expected returns (the discount rates for expected cashflows). Both responses can be rational. In short, a change in volatility, by itself, says nothing about market efficiency. Of course, it is interesting to ask why the volatility of expected cashflows and expected returns increased so much, but that requires a much longer analysis.
Market Efficiency (18)
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