By introducing a labor market into the neoclassical asset pricing model, limited capital market participation can be an equilibrium outcome. Labor contracts are derived endogenously as part of a dynamic equilibrium in a production economy. Firms write labor contracts that insure workers, allowing agents to achieve a Pareto optimal allocation even when the span of asset markets is restricted to just stocks and bonds. Capital markets facilitate this risk sharing because it is there that firms offload the labor market risk they assumed from workers. In effect, by investing in capital markets, investors provide insurance to wage earners who then optimally choose not to participate in capital markets.

While bank capital requirements permit a bank to freely substitute between equity and subordinated debt, lenders and investors view debt and equity as imperfect substitutes. It follows that, after controlling for the level of regulatory capital, the mix of debt in capital isolates the role that the market plays in disciplining banks. I document that the mix of debt in capital affects bank behavior, but only when investors can impose real constraints. In particular, the mix of debt reduces the probability of failure and future distress for BHC-affiliated institutions (where the investor has control rights through an equity position) and for stand-alone banks before the Basel Accord (when debt issues included restrictive covenants). However, substituting equity for subordinated debt at the bank holding company level or in stand-alone banks since the Basel Accord (where the investor has few protections) only increases the probability of distress and failure.

Exploiting a unique identification strategy based on inaccurate news analytics, we document an effect of news analytics on the market independent of the informational content of the news. We show that news analytics speed up the stock price and trading volume response to articles, but reduce liquidity. Inaccurate news analytics lead to small price distortions that are corrected quickly. The market impact of news analytics is greatest for press releases, as news analytics exhibit a particular skill in “seeing through” the positive spin of press releases. Furthermore, we provide evidence that high-frequency traders rely on the information from news analytics for directional trading on company-specific news. Received: May 17, 2018; Editorial decision: June 14, 2019 by Editor: Thierry Foucault.

Using survey data on secured funding arrangements provided by broker–dealers for their clients—a class of contracts that includes bilateral repo—we document that financing rates, collateral haircuts, lending maturities, and position limits move strongly together over time and across asset classes. Liquidity of the underlying securities, as opposed to their volatility or credit risk, is the main driver of this behavior, with dealer balance-sheet constraints also playing a role in the funding of less-liquid security types. A simple model of dealer–client interaction rationalizes these findings. Instrumenting with changes in market conventions, we find that funding conditions had little effect on cash securities markets between 2011 and 2019, but the tightening of terms during the market stress of early 2020 likely impaired liquidity and reduced asset returns to some degree.

Except in special cases, market work and household membership are jointly chosen. A Nash bargaining model of family behavior is used to specify stochastic structural relationships (two indirect utility functions and a market and a reservation wage function) that jointly determine work, consumption, and household membership. The maximum likelihood estimates of the implied trinomial probit model differ sharply from those obtained when either market work or household membership is taken as exogenous. This application to white male youths from the National Longitudinal Surveys shows the insurance function of families: parents insure their sons against poor market opportunities.

Projects with negative expected value cannot obtain financing in competitive capital markets if all potential investors are risk neutral and have identical beliefs about the distribution of the project′s net revenue. We present a series of examples with heterogeneous beliefs in which it is possible for a project to obtain financing even though all investors in the project believe, conditional on the project being undertaken, that the project has negative expected value. An important feature of the examples is that the differences in beliefs are due only to differences in information, and are not simply arbitrary unexplained differences in opinions. Journal of Economic Literature Classification Numbers:D8, G1.

Under what conditions will a multinational corporation alter its operations to manage its risk exposure? We show that multinational firms will engage in operational hedging only when both exchange rate uncertainty and demand uncertainty are present. Operational hedging is less important for managing short-term exposures, since demand uncertainty is lower in the short term. Operational hedging is also less important for commodity-based firms, which face price but not quantity uncertainty. When the fixed costs of establishing a plant are low or the variability of the exchange rate is high, a firm may benefit from establishing plants in both the domestic and foreign location. Capacity allocated to the foreign location relative to the domestic location will increase when the variability of foreign demand increases relative to the variability of domestic demand or when the expected profit margin is larger. For firms with plants in both a domestic and foreign location, the foreign currency cash flow generally will not be independent of the exchange rate and consequently the optimal financial hedging policy cannot be implemented with forward contracts alone. We show that the optimal financial hedging policy can be implemented using foreign currency call and put options and forward contracts.

I demonstrate that ratings-based capital rules, including both the current Basel Accord and its proposed revision, can be reconciled with the general class of credit value-at-risk models. Each exposure's contribution to VaR is portfolio-invariant only if (a) dependence across exposures is driven by a single systematic risk factor, and (b) no exposure accounts for more than an arbitrarily small share of total portfolio exposure. Analysis of rates of convergence to asymptotic VaR leads to a simple and accurate portfolio-level add-on charge for undiversified idiosyncratic risk. There is no similarly simple way to address violation of the single factor assumption.

Konchitchki and Patatoukas Journal of Accounting and Economics 57 (1-2), 76–88, (2014a) show that aggregate accounting earnings growth predicts future nominal gross domestic product (GDP) growth and that professional macro forecasters do not fully incorporate the information contained in aggregate accounting earnings. Based on results from prior literature, which find that accounting earnings reflect bad economic news in a timelier manner than good news, we condition Konchitchki and Patatoukas’s GDP growth forecast model on the sign of earnings changes. We show that negative changes in aggregate earnings predict future GDP growth while positive changes in earnings do not. Furthermore, we show that professional macro forecasters underreact to the information contained in negative changes in aggregate earnings about future GDP growth. Additional tests suggest our findings are a result of conservative accruals in earnings.