Knowledge that Transforms

We construct a robust stochastic discount factor (SDF) summarizing the joint explanatory power of a large number of cross-sectional stock return predictors. Our method achieves robust out-of-sample performance in this high-dimensional setting by imposing an economically motivated prior on SDF coefficients that shrinks contributions of low-variance principal components of the candidate characteristics-based factors. We find that characteristics-sparse SDFs formed from a few such factors—e.g., the four- or five-factor models in the recent literature—cannot adequately summarize the cross-section of expected stock returns. However, an SDF formed from a small number of principal components performs well.

We examine how capital gains taxes affect investment in private start-up (i.e., pre-IPO) firms. Using data on capital raised in individual funding rounds, we estimate the effect of the 2010 SBJA, which implemented a full exemption from federal capital gains tax on the sale of qualified shares. Because of the resulting higher expected after-tax returns, we hypothesize and find evidence consistent with this capital gains tax reduction increasing the amount of investment in start-up firms per funding round by about 12%. The effect is stronger in start-up firms that are likely to have greater administrative capacity. We estimate that about one-third of the tax benefit is captured by investors.

We show that hedge funds gain an information advantage from their prime broker banks regarding the banks’ corporate borrowers. The connected hedge funds make abnormally large trades in the stocks of borrowing firms prior to loan announcements, and these trades outperform other trades. The outperformance is particularly strong for trades of hedge funds that have high revenue potential for prime broker banks. These informed trades appear to be based on information not just about the loan itself but also about firms’ fundamentals such as future earnings. Finally, we find evidence suggesting that equity analysts inside the banks are one potential conduit of information transfer.

We allow a strategic trader to choose when to acquire information about an asset’s payoff, instead of endowing her with it. When the trader dynamically controls the precision of a flow of information, the optimal precision evolves stochastically and increases with market liquidity. Because the trader exploits her information gradually, the equilibrium price impact and market uncertainty are unaffected by her rate of acquisition. If she pays a fixed cost to acquire “lumpy” information at a time of her choosing, the market can break down: we show that no equilibria exist with endogenous information acquisition. Our analysis suggests caution when applying insights from standard strategic trading models to settings with information acquisition.

This paper investigates employment effects of the Federal Reserve’s quantitative easing policies (QE) via a bank lending channel. We find that banks with higher mortgage-backed securities holdings refinanced relatively more mortgages after the first round of QE, which increased local consumption and employment in the nontradable goods sector. In contrast, banks increased lending to firms and home purchase mortgage origination after the third round of QE, which led to a sizable increase in overall employment. Our findings are supported by new confidential loan-level data that show firms with stronger ties to affected banks increased employment and capital investment more during QE3.

We propose a new, price-based measure of information risk called abnormal idiosyncratic volatility (AIV) that captures information asymmetry faced by uninformed investors. AIV is the idiosyncratic volatility prior to information events in excess of normal levels. Using earnings announcements as information events, we show that AIV is positively associated with informed return run-ups, abnormal insider trading, short selling, and institutional trading during pre-earnings-announcement periods. We find that stocks with high AIV earn economically and statistically larger future returns than stocks with low AIV. Taken together, our findings support the notion that information risk is priced.

We explore the labor market effects of gender and race by examining board leadership appointments. Prior studies are often limited by observing only hired candidates, whereas the boardroom provides a controlled setting where both hired and unhired candidates are observable. Although diverse (female and minority) board representation has increased, diverse directors are significantly less likely to serve in leadership positions despite possessing stronger qualifications than nondiverse directors. While specialized skills such as prior leadership or finance experience increase the likelihood of appointment, that likelihood is reduced for diverse directors. Additional tests provide no evidence that diverse directors are less effective.

A standard real-options model predicts that time-to-build investment could be delayed by uncertainty over future revenue. We quantify the first-order importance of this mechanism in the 2002–2011 housing boom-bust cycle by developing and estimating a model of sequential irreversible investment with stochastic bottlenecks. We find that the main driver of construction delays during the boom is construction bottlenecks. However, further delay in construction during the bust is caused by an increase in uncertainty, which grew by 21.6% between 2002 and 2009. The model can account for more than one-third of the decline in residential investment between 2002 and 2009.

We investigate the transmission of central bank liquidity to bank deposits and loan spreads in Europe over the period from January 2006 to June 2010. We find evidence consistent with an impaired transmission channel due to bank risk. Central bank liquidity does not translate into lower loan spreads for high-risk banks for maturities beyond one year, even as it lowers deposit spreads for both high- and low-risk banks. This adversely affects the balance sheets of high-risk bank borrowers, leading to lower payouts, lower capital expenditures, and lower employment. Overall, our results suggest that banks’ capital constraints at the time of an easing of monetary policy pose a challenge to the effectiveness of the bank-lending channel and the central bank's lender of last resort function.

Identifying firm connections by shared analyst coverage, we find that a connected-firm (CF) momentum factor generates a monthly alpha of 1.68% (t = 9.67). In spanning regressions, the alphas of industry, geographic, customer, customer/supplier industry, single- to multi-segment, and technology momentum factors are insignificant/negative after controlling for CF momentum. Similar results hold in cross-sectional regressions and in developed international markets. Sell-side analysts incorporate news about linked firms sluggishly. These effects are stronger for complex and indirect linkages. Consistent with limited investor attention, these results indicate that momentum spillover effects are a unified phenomenon that is captured by shared analyst coverage.