Abstract Using contingent-claims valuation, we introduce novel hedge ratios for credit exposures using put options. Option hedge ratios are generally in line with the empirical sensitivities of credit spread changes to put option returns and, relative to stock hedge ratios, produce further reductions in volatility for a portfolio of North American firms. We show that option hedge ratios capture option-specific credit exposure related to the VIX index and the default spread, which is unaccounted for by Merton’s (1974) equity hedge ratios alone. Combining stocks and put options for credit risk hedging can be done effectively using the volatility smirk. (JEL E43, E44, G10)

Family income is a positive predictor of children's health, human capital, and later-life earnings, but determining the extent to which these associations reflect causal effects is challenging. A recent wave of natural and randomized experiments, together with increased accessibility of large-scale administrative data, are allowing us to gain new perspectives about the importance of families' monetary resources in the U.S. and other high-income countries. This review pulls the emerging literature together to provide deeper insights into what we know, and what we don't know, about the extent to which policies that provide more generous income transfers could make a difference to children's life chances. My reading of the evidence suggests that policies providing financial resources to economically vulnerable families have the potential to improve children's outcomes. The magnitude of predicted impacts varies considerably across studies, however, and may be related to specific features of the income-generating event that researchers' leverage.

I uncover heterogeneous effects of macroprudential policy on GDP growth distribution by bringing together the literature on the impact of macroprudential policy and recent developments on the use of quantile regressions. I identify important benefits of macroprudential policy on the left-tail of the GDP growth distribution which contrast with the negative effects found in previous studies using conditional mean models. These benefits may offset the deterioration on growth-at-risk produced by the build-up of cyclical vulnerabilities and the materialization of financial crises. I also find that the impact of macroprudential policy is dependent on the position in the financial cycle, the type of instrument, and the time elapsed since its implementation. In particular, tightening capital measures during expansions may take up to two years to show evidence of benefits on growth-at-risk, while the positive impact of borrower-based measures is rapidly observed. Conversely, in downturns the benefits of loosening capital measures are more immediate, while those of borrower-based measures are limited. This suggests the importance of timing in macroprudential policy. Overall, this study provides a useful framework to assess the impact of macroprudential policy in terms of GDP growth and to identify the term-structure of specific instruments.

Abstract Using exogenous shocks on the ability to issue seasoned equity offerings (SEOs), we show SEOs lead to a higher employee skill composition, that is, a lower (higher) proportion of low (high) skilled workers. The decrease in low-skilled workers exceeds the increase in high-skilled workers, resulting in reduced employment at the firm level. These effects are more significant when firms invest more in technology following SEOs and face greater financial constraints before SEOs, suggesting that SEOs relieve budget constraints on technology investments. These findings demonstrate that while external equity financing helps upgrade technology to improve productivity, it has a dark side for low-skilled workers.

The Securities and Exchange Commission encourages the presentation of information or data in graphical form to improve users' ability to understand financial disclosures. We find a dramatic increase in the disclosure of both qualitative and quantitative infographics in 10-K filings over time and substantial cross-sectional variation in firms' choices regarding image types, data content, and the placement of infographics within 10-Ks. We provide evidence on factors associated with firms’ use of infographics and explore the persistence with which they are disclosed over time. Finally, we investigate the relation between the use of infographics and uncertainty in capital markets.

Abstract We extend the Fama–MacBeth regression framework for cross-sectional return prediction to incorporate big data and machine learning. Our extension involves a three-step procedure for generating return forecasts based on Fama–MacBeth regressions with regularization and predictor selection as well as forecast combination and encompassing. As a by-product, it provides estimates of characteristic payoffs. We also develop three performance measures for assessing cross-sectional return forecasts, including a generalization of the popular time-series out-of-sample R2 statistic to the cross section. Applying our extension to over 200 firm characteristics, our cross-sectional return forecasts significantly improve out-of-sample predictive accuracy and provide substantial economic value to investors. Overall, our results suggest that a relatively large number of characteristics matter for determining cross-sectional expected returns. Our new method is straightforward to implement and interpret, and it performs well in our application.

We study credit access in informal economies where market institutions, such as financial reporting systems, auditing, and courts, are nonexistent or function poorly. Using the setting of a large bazaar in India, we find that community membership plays a vital role in access to credit. Wholesalers are more likely to provide credit and offer greater amounts of credit to within-community retailers, and are more lenient when these retailers are delinquent. Furthermore, wholesalers who lent preferentially to their community retailers pre-COVID are more likely to receive help from their community following the COVID-19–related income shock, particularly from same-community landlords and suppliers. Also, wholesalers with low endowments, those with greater within-community information flow about them, and those facing income shocks are more likely to provide preferential credit to their community retailers. Our findings are consistent with an indirect reciprocity mechanism explaining within-community credit flows.

Glaeser and Lang (2024; GL) reviews the accounting literature on innovation, which has increased substantially in recent years. GL makes an important contribution to accounting research by bringing into the literature the implications of Romer's Nobel Prize winning endogenous growth theory and by explaining how accounting research addresses questions related to innovation. We contribute to accounting research by building on GL's foundation to suggest three main paths forward for future innovation research. First, focus on innovation's three defining attributes: novelty, nonrivalry, and partial excludability. Second, determine the needs of various users of information about a firm's innovation activities and how to meet those needs; we focus on the needs of investors. Third, address questions our discussion highlights as potentially important for future research on financial reporting and innovation, including the crucial question of an innovation's identifiability.