We empirically evaluate 20 prominent contributions across a broad range of areas in the empirical corporate finance literature. We assemble the necessary data and apply a single, simple econometric method, the connected-groups approach of Abowd et al. to appraise the extent to which prevailing empirical specifications explain variation of the dependent variable, differ in composition of fit arising from various classes of independent variables, and exhibit resistance to omitted variable bias and other endogeneity problems. We assess empirical performance across a wide spectrum of areas in corporate finance and indicate varying research opportunities for empiricists and theorists.

Practitioners allocate substantial resources to technical analysis whereas academic theories of market efficiency rule out technical trading profitability. We study this long-standing puzzle by applying a diverse set of machine learning algorithms. The results show that an investor can find profitable technical trading rules using past prices, and that this out-of-sample profitability decreases through time, showing that markets have become more efficient over time. In addition, we find that the evolutionary genetic algorithm’s attitude in not shying away from erroneous predictions gives it an edge in building profitable strategies compared to the strict loss-minimization-focused machine learning algorithms.

While corporate social responsibility by firms aims at improving welfare for different social groups, whether it achieves this is often difficult to measure. After Apr. 2018 protests, Starbucks enacted policies that anybody could sit in their stores and use the bathroom without making a purchase. Using anonymized cellphone location data, we estimate this led to a 7.0% decline in attendance relative to other nearby coffee shops. The effect is 84% larger near homeless shelters and larger for Starbucks’ wealthier customers. The average time spent per visit declined by 4.1%. Public urination citations decreased near Starbucks locations, but other minor crimes were unchanged.

We document a novel strategic motive for family business groups to utilize their internal capital markets (ICMs) during financial crises. We find that crisis-period group ICM activity is targeted toward exerting product market dominance over standalone rivals. Groups make significant post-crisis gains in market share that are concentrated among affiliates (and industry segments within affiliates) operating in highly competitive product markets, where capturing such gains is difficult in normal times. These patterns are observed only in emerging markets, suggesting that ICMs enable groups to exploit crises to realize long-term competitive advantages only when rivals face chronic financing frictions.

Upon the revelation of corporate misconduct by firms in their portfolios, institutional investors experience a significant discount in the market value of their portfolios, excluding misconduct firms, creating a short-term spillover that averages $92.7 billion losses per year. We examine an expansive set of channels under which this spillover to nontarget firms can occur, and find that it reflects the loss of the embedded value of monitoring by a common institutional owner, enforcement wave activity, and industry peer and business relationships. Institutional investors also experience a significant abnormal outflow of funds in the year following the misconduct event.

Survey assessments have found limited evidence of benefits of executive attractiveness. We use an objective measure of facial attractiveness that is correlated with survey assessments but less noisy and identify several benefits from executive facial attractiveness previously found in the general population but heretofore empirically elusive among executives. We examine the effect of both measures on executive compensation, promotion to CEO and the corresponding shareholder reaction, and promotion to board chair. The objective measure identifies significantly positive labor market effects for executive attractiveness in all outcomes in contrast to survey assessments of attractiveness that do not correlate with any outcome.

There are significant differences among sell-side analysts in how frequently they revise recommendations. We show that much of this variation is an analyst-individual trait. Analysts who change recommendations more slowly make recommendations that are more influential and generate better portfolio returns. Slower-revising analysts tend to change recommendations following corporate news that are harder to interpret by nonstock experts, and our evidence suggests that their investment value derives from their ability to better interpret hard-to-assess information. On average, analysts change recommendations less frequently as their career progresses; however, recommendation speed-style is the dominant predictor of their recommendation value.

This study highlights the positive impact of a stock market listing on workplace safety. We find that workplace injuries in publicly listed firms are lower than those in comparable private firms, and this effect relates to heightened monitoring by the media and regulators. The media pays more attention to public firms’ safety issues than to those of private firms, and the reduced media scrutiny due to local newspaper closures leads to greater increases in injuries in public firms. Regulators also monitor public firms more strictly, evidenced by a higher likelihood of nonroutine inspections and larger penalties for detected violations.

How does trading in one venue affect the quoting strategies of market makers in other venues? We develop a two-venue imperfect competition model in which market makers face quadratic costs when absorbing shocks. Nonconstant marginal costs imply that absorbing a shock in one venue simultaneously changes marginal costs in all other venues. Moreover, market makers strategically choose which shock(s) to absorb. These two forces may intensify competition, leading to enhanced liquidity. Using Euronext proprietary data, we track individual best bid and ask quotes of intermediaries in each venue. We uncover evidence of strategic cross-venue market-making behavior which is uniquely predicted by our model.

Hand-collecting credit line drawdowns that firms classify as long-term debt, we first document how long-term drawdowns rise with high investment needs or weak external capital market conditions. Nearly all drawdown proceeds finance long-term investment, including M&A activity. Unrated and lower-rated firms rely more on long-term drawdowns than high or very poorly rated firms. We further find that credit lines have tighter covenants than terms loans. Drawdowns are repaid fairly quickly and often refinanced with other long-term debt. Our findings support the monitored liquidity insurance theory of credit lines and highlight that long-term drawdowns act as a valuable bridge financing mechanism.

This article empirically analyzes the effect of foreign block acquisitions on U.S. target firms’ credit risk as measured by their credit default swap (CDS) spreads. Foreign block purchases lead to a greater increase in the target firms’ CDS premia post-acquisition compared to domestic block purchases. This effect is stronger when foreign owners are geographically and culturally more distant, and when they obtain majority control. The findings are consistent with an asymmetric information hypothesis, in which foreign owners are less effective monitors due to information barriers.

We investigate whether international operations enhance information links between firms and foreign investors. Exploiting novel subsidiary-level data and within-location variations, we show that, after expanding into another country, a firm attracts greater investment allocation from funds from that country than from other foreign funds. This increase is economically significant, equivalent to one-fifth of the average firm weight in a country-specific portfolio. The observed effect cannot be attributed to funds’ influence, persists even when funds are already familiar with the firm, and helps them generate superior risk-adjusted returns. Our results suggest that firms’ cross-border economic activities contribute to global financial interconnectedness.

We investigate the implications of recovering real-world conditional expectation of return functions using options on the S&P 500 index and Treasury bond futures. First, we construct estimates of the probability of disasters, defined as higher than 6%, 5%, or 4% equity market declines over option expiration cycles. This measure of disaster probability forecasts realized disasters. Second, we employ options on the futures of the 10- and 30-year Treasury bonds to construct estimates for the expected return of bond futures. These measures display forecasting ability for subsequent futures returns beyond the level, slope, and curvature variables extracted from the yield curve.