We examine whether there is a correlation between personal wealth interests of politicians and their decisions to intervene in the economy. We use the setting of the government’s support of financial institutions under the 2008 Emergency Economic Stabilization Act. We find that the personal wealth interests of politicians are positively associated with voting in favor of the EESA.

Using a sample of 140 managers, we investigate the use of various performance metrics in determining the periodic assessment, bonus decisions, and career paths of business unit managers. We show that the weight on accounting return measures is associated with the authority of these managers, and we document that both disaggregated measures (expenses and revenues), and nonfinancial measures play a greater role as interdependencies between business units increase. The results suggest separate and distinct roles for different types of performance measures. Accounting return measures are used to create the proper incentives for managers with greater authority, while disaggregated and nonfinancial measures are employed in response to interdependencies.

We examine the relation between a measure of male CEOs’ facial masculinity and financial misreporting. Facial masculinity is associated with a complex of masculine behaviors (including aggression, egocentrism, riskseeking, and maintenance of social status) in males . One possible mechanism for this relation is that the hormone testosterone influences both behavior and the development of the face shape. We document a positive association between CEO facial masculinity and various misreporting proxies in a broad sample of S&P1500 firms during 1996–2010. We complement this evidence by documenting that a CEO's facial masculinity predicts his firm's likelihood of being subject to an SEC enforcement action. We also show that an executive's facial masculinity is associated with the likelihood of the SEC naming him as a perpetrator. We find that facial masculinity is not a measure of overconfidence. Finally, we demonstrate that facial masculinity also predicts the incidence of insider trading and option backdating.

We investigate two determinants of two choices in the control system of divisionalized firms, namely decentralization and use of performance measures. The two determinants are those identified in the literature as important to control system design: (1) information asymmetries between corporate and divisional managers and (2) division interdependencies. We treat decentralization and performance measurement choices as endogenous variables and examine the interrelation among these choices using a simultaneous equation model. Using data from 78 divisions, our results indicate that decentralization is positively related to the level of information asymmetries and negatively to intrafirm interdependencies, while the use of performance measures is affected by the level of interdependencies among divisions within the firm, but not by information asymmetries. We find some evidence that decentralization choice and use of performance measures are complementary.

We take advantage of a new composite measure of political risk (Hassan et al., 2019) to study the effects of firm-level political risk on private debt markets. First, we use panel data tests and exploit the redrawing of US congressional districts to uncover plausibly exogenous variation in firm-level political risk. We show that borrowers’ political risk is linked to interest rates set by lenders. Second, we test for the transmission of political risk from lenders to borrowers. We predict and find that lender-level political risk propagates to borrowers through lending relationships. Our analysis allows for endogenous matching between lenders and borrowers and indicates the presence of network effects in diffusing political risk throughout the economy. Finally, we introduce new text-based methods to analyze the distinct sources of political risk to lenders and borrowers and provide textual evidence of the transmission of political risk from lenders to borrowers.

We adapt simple tools from computational linguistics to construct a new measure of political risk faced by individual U.S. firms: the share of their quarterly earnings conference calls that they devote to political risks. We validate our measure by showing that it correctly identifies calls containing extensive conversations on risks that are political in nature, that it varies intuitively over time and across sectors, and that it correlates with the firm’s actions and stock market volatility in a manner that is highly indicative of political risk. Firms exposed to political risk retrench hiring and investment and actively lobby and donate to politicians. These results continue to hold after controlling for news about the mean (as opposed to the variance) of political shocks. Interestingly, the vast majority of the variation in our measure is at the firm level rather than at the aggregate or sector level, in the sense that it is captured neither by the interaction of sector and time fixed effects nor by heterogeneous exposure of individual firms to aggregate political risk. The dispersion of this firm-level political risk increases significantly at times with high aggregate political risk. Decomposing our measure of political risk by topic, we find that firms that devote more time to discussing risks associated with a given political topic tend to increase lobbying on that topic, but not on other topics, in the following quarter.

We develop a method that identifies the attention paid by earnings call participants to firms' climate change exposures. The method adapts a machine learning keyword discovery algorithm and captures exposures related to opportunity, physical, and regulatory shocks associated with climate change. The measures are available for more than 10,000 firms from 34 countries between 2002 and 2020. We show that the measures are useful in predicting important real outcomes related to the net‐zero transition, in particular, job creation in disruptive green technologies and green patenting, and that they contain information that is priced in options and equity markets.

We construct text-based measures of the primary concerns listed firms associated with the spread of COVID-19 and other epidemic diseases. We identify which firms perceive to lose or gain from a given epidemic and textually decompose the epidemic’s effect on the firm’s demand and supply. We find that the effects of COVID-19 manifest as a simultaneous shock to demand and supply, with both shocks affecting firms’ market valuations in equal measure on average. By contrast, demand-related impacts appear more important in accounting for the observed collapse in firm-level investment during the COVID-19 crisis.

We study theoretically and empirically the relation between altruism and incentive contract design. Theoretically, we extend Fischer and Huddart (2008) to investigate how social norms reinforce managers’ altruistic preferences, thus affecting the optimal contract design related to incentive strength and performance measurement. Empirically, we draw on the notion of an organization’s work climate to capture managers’ altruistic preferences. Using data collected from a sample of 557 managers, we find that in a work climate where managers are mostly out for themselves, firms have lower pay-for-performance sensitivity and place a greater weight on aggregate performance measures. In addition, respondents report that they engage more in undesirable actions that are unproductive and costly to firm owners. In contrast, in a work climate where managers care about others (including peers in their organizational unit), firms place lower weights on aggregate performance measures. At the same time, respondents report that they supply more effort and engage less in undesirable actions.