Definition and Importance5 min
This chapter defines market efficiency as the degree to which asset prices reflect available information quickly and rationally. An efficient market is one where prices incorporate new information within a short time frame (trades are the mechanism of incorporation). The distinction between market value and intrinsic value is emphasized: market value is the observable transaction price; intrinsic (fundamental) value is the present value of expected future cash flows given full information. Discrepancies between market and intrinsic value are the source of potential active investment profits, but realizing profits depends on costs and risks. Factors that affect market efficiency include the number and sophistication of market participants, analyst coverage, information availability and financial disclosure regimes (including rules like fair disclosure and insider-trading enforcement), limits to trading (including short-sale constraints), market structure (dealer versus order-driven markets), liquidity, transaction costs, and information-acquisition costs. Cost considerations mean markets can be efficient within bounds of arbitrage and transaction costs; an observed price discrepancy smaller than trading and information costs may not be exploitable.

Key Points

  • Market efficiency: prices quickly reflect available information; trades incorporate news.
  • Market value is the observed price; intrinsic value is the present value of expected cash flows.
  • Discrepancies between market and intrinsic values create potential active investment oppor￾tunities.
  • Market efficiency is affected by participants, disclosure, trading limits, liquidity, and costs.
  • Prices may be efficient within arbitrage and cost bounds even if not perfectly equal to intrinsic value.
Forms of Market Efficiency and Implications5 min
Eugene Fama's three-form classification: weak form (prices reflect all past market data like price and volume), semi-strong form (prices reflect all publicly available information), and strong form (prices reflect all public and private information). Tests of the weak form examine serial correlation and technical trading rules; evidence generally rejects profitable simple technical rules in developed markets, though momentum effects appear in many markets. Semi-strong tests use event studies to see how quickly prices adjust to news; developed markets often adjust rapidly, but some post-announcement drift has been documented. Strong-form efficiency is generally rejected because insiders and those with private information can sometimes earn abnormal returns. Implications: if markets are weak/semi-strong efficient, simple technical rules and routine fundamental trading should not produce persistent abnormal risk-adjusted returns net of costs. Passive management may be preferred, though fundamental analysis remains valuable for interpreting information and aiding price discovery. Active managers need plausible sources of inefficiency to justify active strategies.

Key Points

  • Weak-form efficiency: no excess profits from trading on past price/volume data; technical analysis challenged.
  • Semi-strong efficiency: public information is quickly incorporated; event studies test this form.
  • Strong-form efficiency: includes private information; generally not supported by evidence.
  • Implication: passive management often outperforms active approaches after costs; fundamental analysis aids discovery.
Anomalies and Behavioral Finance6 min
Researchers have documented apparent pricing anomalies that seem to contradict market efficiency. Time-series anomalies include calendar effects (January effect, day-of-week, weekend), momentum (short-term continuation), and overreaction/reversal (longer-term reversals). Cross-sectional anomalies include the size effect and the value effect (value stocks outperform growth). Other anomalies include closed-end fund discounts, IPO underpricing with subsequent underperformance, and earnings-announcement related post-announcement drift. However, many anomalies diminish when data-snooping, trading costs, risk exposures, or improved methodologies are accounted for. Behavioral finance offers explanations by analyzing investor psychology and biases: loss aversion, overconfidence, herding, information cascades, representativeness, conservatism, and narrow framing can produce predictable biases in prices and trading. Behavioral explanations help explain some market irregularities, but do not guarantee exploitable, persistent arbitrage profits because arbitrage is costly and constrained.

Key Points

  • Documented anomalies: January effect, momentum, size and value effects, IPO underpricing, earnings drift.
  • Data-snooping, transaction costs, and risk adjustments often explain or reduce anomalies.
  • Behavioral finance provides alternative explanations via investor biases (overconfidence, loss aversion, herding).
  • Even if behavioral biases exist, costly or limited arbitrage may prevent persistent exploitable mispricing.

Questions

Question 1

Which description best matches the concept of an informationally efficient market?

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Question 2

What is the principal difference between market value and intrinsic value as presented in the chapter?

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Question 3

Which factor is least likely to improve the informational efficiency of a country’s equity market?

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Question 4

Under Fama's classification, a market where prices reflect all historical prices and trading volume but not necessarily all public news is described as:

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Question 5

Which empirical method is most commonly used to test semi-strong efficiency in a market?

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Question 6

If a market is semi-strong efficient, which of the following actions is least likely to yield consistent abnormal returns after costs?

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Question 7

Which observation would most directly contradict weak-form market efficiency?

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Question 8

A researcher finds that stock prices on average rise significantly in the five trading days prior to year-end and fall in the first five trading days of January. Which anomaly does this pattern most closely describe?

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Question 9

Which empirical regularity is most often associated with the term 'momentum' in stock returns?

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Question 10

Which of the following is the best interpretation if an event study finds large statistically significant abnormal returns confined to the announcement date but no post-announcement drift?

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Question 11

Which anomaly is most closely associated with the historical finding that small-cap stocks, on average, have tended to earn higher risk-adjusted returns than large-cap stocks?

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Question 12

Which statement most accurately reflects the chapter’s stance on the persistence of anomalies?

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Question 13

Which of the following best illustrates the concept of bounds to arbitrage discussed in the chapter?

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Question 14

Which observation would be most consistent with evidence rejecting strong-form market efficiency?

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Question 15

Which of the following is an example of a calendar-based anomaly discussed in the chapter?

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Question 16

Which explanation did researchers propose for the January effect that links tax behavior to returns?

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Question 17

Which of the following is a common concern when interpreting empirical findings of market anomalies?

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Question 18

Which of the following best describes the role of fundamental analysis in a semi-strong efficient market, according to the chapter?

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Question 19

Which market feature makes technical analysis most unlikely to generate consistent abnormal returns in developed markets, according to the chapter?

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Question 20

Which of the following statements about IPOs does the chapter present as an observed pattern?

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Question 21

What role does information availability (financial disclosure and media) play in market efficiency, according to the chapter?

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Question 22

Which of these statements best characterizes the chapter’s view of short selling and market efficiency?

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Question 23

Which of the following is an implication of Grossman and Stiglitz's argument noted in the chapter?

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Question 24

In an event study, the 'excess return' is defined as:

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Question 25

Which of the following best summarizes the chapter's view on the role of behavioral finance in explaining market anomalies?

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Question 26

Loss aversion, a behavioral bias noted in the chapter, implies which investor behavior?

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Question 27

What is an information cascade as discussed in the chapter?

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Question 28

A study finds that stocks with unexpectedly high earnings surprises continue to outperform for several months after the announcement. Which critique of this finding is emphasized in the chapter?

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Question 29

Which of the following statements about closed-end fund discounts is consistent with the chapter's discussion?

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Question 30

Which of the following best summarizes the chapter's recommendation for investors deciding between active and passive strategies in developed markets?

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Question 31

Which methodology is most often used to detect momentum profits in stock returns as described in the chapter?

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Question 32

Which of the following best captures the chapter's explanation of why some anomalies disappeared over time?

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Question 33

Which of the following is an accurate description of the 'value effect' as discussed in the chapter?

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Question 34

Which of the following best captures the chapter's treatment of hedge fund indexes?

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Question 35

Which of the following is a key empirical finding regarding stock price reactions to earnings announcements, as described in the chapter?

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Question 36

Which of these best describes 'survivorship bias' discussed in the chapter with respect to hedge fund and other performance databases?

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Question 37

Which of the following best describes an implication of semi-strong efficiency for corporate disclosure policy?

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Question 38

Which statement best reflects the chapter’s discussion on the relationship between liquidity and the ability to replicate an index or hedge a position?

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Question 39

Which of the following is a behavioral explanation for momentum documented in the chapter?

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Question 40

Which regulatory rule discussed in the chapter aims to ensure fair public disclosure of material information by issuers?

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Question 41

Which of the following best describes the chapter’s view on the relationship between behavioral biases and market efficiency?

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Question 42

Which market would you expect to be most likely to exhibit semi-strong inefficiency, based on factors discussed in the chapter?

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Question 43

Which test or evidence would most directly challenge the weak-form efficient market hypothesis?

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Question 44

Which of the following best reflects the chapter's discussion of why fixed-income indexing is more difficult than equity indexing?

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Question 45

Which of the following is a commonly documented return pattern after a firm is added to a major index (e.g., Russell reconstitution), as discussed in the chapter's examples on index reconstitution?

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Question 46

Which of the following best characterizes the 'overreaction' anomaly described in the chapter?

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Question 47

Which of these findings would provide the strongest evidence that a market is not semi-strong efficient?

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Question 48

Which of the following best describes the chapter's advice for evaluating a reported anomaly?

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Question 49

Which of the following best represents an argument for the existence of momentum that is consistent with market efficiency (a rational explanation)?

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Question 50

Which practical conclusion for an investment committee is most aligned with the chapter’s conclusions on market efficiency?

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