Fundamental Investment Analysis

In a fresh Covid-19 wave, Sally Beauty may beg for cash with nothing left for collateral.

We study how small and medium enterprise (SME) lenders react to information about their competitors' contracting decisions. To isolate this learning from lenders' common reactions to unobserved shocks to fundamentals, we exploit the staggered entry of lenders into an information-sharing platform. Upon entering, lenders adjust their contract terms toward what others offer. This reaction is mediated by the distribution of market shares: lenders with higher shares or that operate in concentrated markets react less.

For one, if you’re worried about a Covid-19 cash crunch, consider slicing your salary.

We derive a measure of firm-level regulatory exposure from the text of corporate earnings calls. We use this measure to study the effect of regulation on companies’ growth, leverage, profitability, and equity returns. Higher regulatory exposure results in slower sales and asset growth, lower leverage, reduced profitability, but higher post-call equity returns. These effects are mitigated for larger firms. Our findings suggest that both compliance risk and physical operational cost are consequences of increased regulation, but the magnitude of the effects of compliance risk are larger.

Using a price-theoretic framework, we derive and empirically test a fundamental demand force shaping firms’ public disclosure decisions. Our framework suggests that the number of firms’ transacting stakeholders, not just their shareholders, is a major determinant of disclosure demand and, hence, firms’ decision to disclose publicly.

To meet the objectives of financial reporting in the IASB's Conceptual Framework, the "balance-sheet approach" embraced by the Framework is necessary but not sufficient. Critical, but largely overlooked, is the role of uncertainty, which we argue defines the role of accrual accounting as a distinctive source of information for investors when investment outcomes are uncertain. This role is in some sense paradoxical: on the one hand, uncertainty undermines both the balance sheet (because uncertain assets are unrecognized) and the income statement (because mismatching is unavoidable).

Koszegi and Rabin (2006, 2007) develop a model of expectations-based reference-dependent preferences, in which the agent experiences prospect-theory inspired "gain-loss utility" by comparing his actual consumption to all his previously expected consumption outcomes. Koszegi and Rabin (2009) generalize the static model to a dynamic setting by assuming that the agent experiences both contemporaneous gain-loss utility over present consumption and prospective gain-loss utility over changes in expectations about future consumption.

Over the past decade, data has transformed everyday life. While it has changed the way people shop and businesses operate (Goldfarb and Tucker, 2019), it has only just begun to permeate economists thinking about the aggregate economy. In the early twentieth century, economists like Schultz (1943) analyzed agrarian economies and land-use issues. As agricultural productivity improved, production shifted more to manufacturing. Modern macroeconomics adapted with models featuring capital and labor, markets for goods, and equilibrium wages (Solow, 1956).

We study the association between human capital and rollovers into Individual Retirement Accounts (IRAs), using administrative records from the defined contribution savings plan for U.S. government employees: the Thrift Savings Plan (TSP). Employees who separate from government employment have the option to leave balances in the TSP, where fees are currently under 4 basis points. However, we estimate that more than a third of the TSP balances end up being rolled over into IRA accounts, which are very likely to have much higher fees.