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Record W4243005993 · doi:10.1287/mnsc.1120.1514

Management Insights

2012· article· en· W4243005993 on OpenAlexaboutno aff
Michael F. Gorman

Bibliographic record

VenueManagement Science · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGlass ceilingPopulationOfficerChief executive officerBusinessPower (physics)AccountingDemographic economicsPsychologyPublic relationsPolitical scienceManagementSociologyEconomicsLawDemography

Abstract

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Renée B. Adams, Patricia Funk Does gender matter in the boardroom? Researchers have long studied gender differences in the workplace, but little is known about these differences in the boardroom. If women must be like men to break the glass ceiling, we might expect gender differences to disappear among directors. Using a large survey of directors, the authors show that female and male directors differ systematically in their core values and risk attitudes, but in ways that differ from gender differences in the general population. Consistent with findings for the population, female directors are more benevolent and universally concerned but less power oriented than male directors. However, in contrast to findings for the population, they are less traditional and security oriented than their male counterparts. They are also more risk loving than male directors. The insight for management: Having a woman on the board need not lead to more risk-averse decision making. Bang Dang Nguyen Does the Rolodex matter? The author investigates the impact of social ties on the effectiveness of boards of directors. When the chief executive officer (CEO) and a number of directors belong to the same social networks, the CEO is less likely to be dismissed for poor performance. Although being ousted is costly for all CEOs—who must then devote time to finding new employment and succeed in only 62% of cases—socially connected CEOs are more likely to find new and better employment after a forced departure. The insight for management: Close social ties between board members and CEOs can propagate the “old-boys network” in corporate boardrooms, reducing downside risk for CEOs and allowing lower performance to persist. Phelim Boyle, Lorenzo Garlappi, Raman Uppal, Tan Wang The famed economist John Maynard Keynes advocated concentration in a few familiar assets. Warren Buffett has quoted Keynes and espouses this approach to investing. On the other hand, Harry Markowitz has won the Nobel Prize in Economics for developing portfolio diversification methods and models to reduce risk for a given desired return. Which approach should be followed? The authors show that for any given level of expected returns, the optimal portfolio depends on two quantities: relative ambiguity across assets and the standard deviation of the expected return estimate for each asset. If both quantities are low, then the optimal portfolio consists of a mix of familiar and unfamiliar assets; moreover, an increase in correlation between assets causes an investor to increase concentration in familiar assets (flight to familiarity). Alternatively, if both quantities are high, then the optimal portfolio contains only the familiar asset(s), as Keynes would have advocated. In the extreme case in which both quantities are very high, no risky asset is held (nonparticipation). The insight for management: Portfolio diversification strategies and investing in few familiar assets are competing philosophies that can be reconciled based on risk, correlation of assets, and relative ambiguity of the investment options. Bruno Solnik, Luo Zuo Are investors biased toward domestic investments? The authors test the assumption that investors suffer from foreign aversion, a preference for home assets based on familiarity. They find that, if the degree of foreign aversion is high in a given country, investors place a high valuation on domestic equity, which results in a low expected return. Using International Monetary Fund portfolio data, the authors test the model's prediction that a country's degree of home bias and the expected return of its domestic assets are inversely related. The insight for management: Expected returns for a country's assets are negatively related to home bias. Paul Hribar, John McInnis Are stock analysts sentimental? The authors examine the correlation of analysts' forecast errors with investor sentiment. They find that when sentiment is high, analysts' forecasts of one-year-ahead earnings and long-term earnings growth are relatively more optimistic for “uncertain” or “difficult-to-value” firms. They find that these errors contain information; regression analysis of the errors has sizable predictive ability on future returns. The insight for management: Evaluate both what analysts say and what they may feel; investor sentiment may affect the earnings expectations of hard-to-value firms. Nicholas Seybert, Holly I. Yang “Irrational exuberance” is a famous term coined by Alan Greenspan to steer enthusiastic investors riding a bull market back to reality. It worked; a major stock market correction ensued. Can senior management provide earning guidance that helps prevent investors' sentiment-driven overvaluation? The authors find that most of the negative returns to uncertain firms in months after high-sentiment periods fall within the three-day window around the issuance of management earnings guidance. But there is also some evidence of negative returns around earnings announcements for firms that previously issued guidance, suggesting that guidance does not entirely correct optimistic earnings expectations. The authors suggest that transient or short-term focused management are more likely to fail to provide effective earnings guidance. The insight for management: Regular and clear earnings guidance can help avoid irrational expectations of investors and subsequent abrupt and negative corrections. David Hirshleifer, Kewei Hou, Siew Hong Teoh When investors value a firm, they should distinguish between the two components of earnings: cash flows from operations and accounting adjustments (operating accruals). Because cash flows from operations predict future profitability more strongly than do accruals, investors should discount accruals and focus on cash flows. However, past research has found that firms with high accruals underperform compared with firms with low accruals in the United States and in other countries. This pattern has come to be known as the accrual anomaly. The authors confirm that accrual characteristics cause investors to overvalue stocks. The insight for management: Investors misvalue the accrual characteristic and cast doubt on the rational risk explanation. Thomas Gilbert, Shimon Kogan, Lars Lochstoer, Ataman Ozyildirim Can a little information go a long way? The authors examine the effect of recurring stale information releases on U.S. stock and Treasury futures prices. The authors evaluate the effect of the U.S. Leading Economic Index ® (LEI), which is released monthly and is constructed as a summary statistic of previously released inputs. The researchers find a pronounced pattern at the release of this information, and these patterns are more pronounced for high beta stocks, for stocks that are more difficult to arbitrage, and during times when investors' sensitivity to firm-specific stale information is high. Other measures of information arrival, such as price volatility and volume, spike after the data release. The insight for management: Some investors are inattentive to the stale nature of the information included in the LEI releases, instead interpreting it as new information, and thereby causing temporary yet significant mispricing. Joseph Engelberg, Caroline Sasseville, Jared Williams Is there market madness for Mad Money? In the popular television show Mad Money, hosted by Jim Cramer, stock recommendations are regularly made. Does viewing the show pose an opportunity for viewers? Yes—if they act quickly. The authors find that stock recommendations lead to large overnight returns that subsequently reverse over the next few months. The spike-reversal pattern is strongest among small, illiquid stocks that are hard to arbitrage. They also find that the overnight return is strongest when high-income viewership is high. The pattern is also apparent among sell recommendations. The insight for management: Hype sells (there is a potential role of media in generating short-term mispricing), but be quick in order to beat the crowd. Mariassunta Giannetti, Yishay Yafeh Do cultural differences between contracting parties matter? For example, do banking terms depend on how similar the parties are? The authors examine a large data set of international syndicated bank loans and find that more culturally distant lead banks offer borrowers smaller loans at a higher interest rate and are more likely to require third-party guarantees. The authors show that the differences are big: Minor differences in cultures, such as between Canada and the United States or between Japan and South Korea, are associated with a 6.5-basis-point-higher loan spread. The loan spread increases by approximately 23 basis points if the bank-firm match involves culturally more different countries, for example, from Japan and the United States. The authors suggest that familiarity is not enough; these effects do not disappear after repeated interaction between borrower and lender. The insight for management: Tolerance for cultural diversity can allow an organization expanded business opportunities and profits. Matthias Sutter, Jürgen Huber, Michael Kirchler Ubiquitous information creates market efficiency, right? Speculative bubbles are inefficient, right? So then information should remedy bubbles, but these authors suggest that just the opposite can be true. Although uninformed traders are subject to the bub

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.211
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2012
Admission routes1
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