Pages: bmi-bmi | Published: 1/2013 | DOI: 10.1111/jofi.12014 | Cited by: 0
Pages: i-vii | Published: 1/2013 | DOI: 10.1111/jofi.12013 | Cited by: 0
Pages: 1-42 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01793.x | Cited by: 88
THOMAS PHILIPPON, PHILIPP SCHNABL
Pages: 43-84 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01794.x | Cited by: 54
Human capital is one of the largest assets in the economy and in theory may play an important role for asset pricing. Human capital is heterogeneous across investors. One source of heterogeneity is industry affiliation. I show that the cross‐section of expected stock returns is primarily affected by industry‐level rather than aggregate labor income risk. Furthermore, when human capital is excluded from the asset pricing model, the resulting idiosyncratic risk may appear to be priced. I find that the premium for idiosyncratic risk documented by several empirical studies depends on the covariance between stock and human capital returns.
Pages: 85-124 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01795.x | Cited by: 359
JENNIFER CONRAD, ROBERT F. DITTMAR, ERIC GHYSELS
We use option prices to estimate ex ante higher moments of the underlying individual securities’ risk‐neutral returns distribution. We find that individual securities’ risk‐neutral volatility, skewness, and kurtosis are strongly related to future returns. Specifically, we find a negative (positive) relation between ex ante volatility (kurtosis) and subsequent returns in the cross‐section, and more ex ante negatively (positively) skewed returns yield subsequent higher (lower) returns. We analyze the extent to which these returns relations represent compensation for risk and find evidence that, even after controlling for differences in co‐moments, individual securities’ skewness matters.
Pages: 125-172 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01796.x | Cited by: 23
MATTHEW SPIEGEL, HEATHER TOOKES
We model the interactions between product market competition and investment valuation within a dynamic oligopoly. To our knowledge, the model is the first continuous‐time corporate finance model in a multiple firm setting with heterogeneous products. The model is tractable and amenable to estimation. We use it to relate current industry characteristics with firm value and financial decisions. Unlike most corporate finance models, it produces predictions regarding parameter magnitudes as well their signs. Estimates of the model's parameters indicate strong linkages between model‐implied and actual values. The paper uses the estimated parameters to predict rivals’ returns near merger announcements.
Pages: 173-200 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01797.x | Cited by: 69
UTPAL BHATTACHARYA, JUNG H. LEE, VERONIKA K. POOL
We analyze the investment behavior of affiliated funds of mutual funds (AFoMFs), which are mutual funds that can only invest in other funds in the family, and are offered by most large families. Though never mentioned in any prospectus, we discover that AFoMFs provide an insurance pool against temporary liquidity shocks to other funds in the family. We show that, though the family benefits because funds can avoid fire sales, the cost of this insurance is borne by the investors in the AFoMFs. The paper thus uncovers some of the hidden complexities of fiduciary responsibility in mutual fund families.
Pages: 201-235 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01798.x | Cited by: 119
SUSAN E. K. CHRISTOFFERSEN, RICHARD EVANS, DAVID K. MUSTO
We ask whether mutual funds’ flows reflect the incentives of the brokers intermediating them. The incentives we address are those revealed in statutory filings: the brokers’ shares of sales loads and other revenue, and their affiliation with the fund family. We find significant effects of these payments to brokers on funds’ inflows, particularly when the brokers are not affiliated. Tracking these investments forward, we find load sharing, but not revenue sharing, to predict poor performance, consistent with the different incentives these payments impart. We identify one benefit of captive brokerage, which is the recapture of redemptions elsewhere in the family.
Pages: 237-270 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01799.x | Cited by: 9
STEFANO DELLAVIGNA, JOSHUA M. POLLET
Using demand shifts induced by demographics, we evaluate capital budgeting and market timing. Capital budgeting implies that industries anticipating positive demand shifts in the near future should issue more equity to finance greater capacity. To the extent that demand shifts in the distant future are not incorporated into equity prices, market timing implies that industries anticipating positive shifts in the distant future should issue less equity due to undervaluation. The evidence supports both theories: new listings and equity issuance respond positively to demand shifts during the next 5 years and negatively to demand shifts further in the future.
Pages: 271-297 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01800.x | Cited by: 108
GILLES HILARY, CHARLES HSU
We show empirically that analysts who display more consistent forecast errors have greater ability to affect prices, and that this effect is larger than that of stated accuracy. These results lead to three implications. First, consistent analysts are less likely to be demoted and are more likely to be nominated All Star analysts. Second, analysts strategically deliver downward‐biased forecasts to increase their consistency (if at the expense of stated accuracy). Finally, the benefits of consistency and of “lowballing” (accuracy) are increasing (decreasing) in institutional investors’ presence.
Pages: 299-341 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01801.x | Cited by: 84
THIERRY FOUCAULT, OHAD KADAN, EUGENE KANDEL
We develop a model in which the speed of reaction to trading opportunities is endogenous. Traders face a trade‐off between the benefit of being first to seize a profit opportunity and the cost of attention required to be first to seize this opportunity. The model provides an explanation for maker/taker pricing, and has implications for the effects of algorithmic trading on liquidity, volume, and welfare. Liquidity suppliers’ and liquidity demanders’ trading intensities reinforce each other, highlighting a new form of liquidity externalities. Data on durations between trades and quotes could be used to identify these externalities.
Pages: 343-381 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01802.x | Cited by: 314
ALESSANDRO BEBER, MARCO PAGANO
Most regulators around the world reacted to the 2007–09 crisis by imposing bans on short selling. These were imposed and lifted at different dates in different countries, often targeted different sets of stocks, and featured varying degrees of stringency. We exploit this variation in short‐sales regimes to identify their effects on liquidity, price discovery, and stock prices. Using panel and matching techniques, we find that bans (i) were detrimental for liquidity, especially for stocks with small capitalization and no listed options; (ii) slowed price discovery, especially in bear markets, and (iii) failed to support prices, except possibly for U.S. financial stocks.
Pages: 383-384 | Published: 1/2013 | DOI: 10.1111/j.1540-6261.2012.01803.x | Cited by: 0
Pages: 385-385 | Published: 1/2013 | DOI: 10.1111/jofi.12015 | Cited by: 0