We solve for a firm's optimal cash holding policy within a continuous time, contingent claims framework using dividends, short-term borrowing, and equity issues as controls assuming mean reversion of earnings. Optimal cash is non-monotone in business conditions and increasing in the level of long-term debt. The model matches closely a wide range of empirical benchmarks and predicts cash and leverage dynamics in line with the empirical literature. Firm value is quite insensitive to changes in the level of long-term debt. The model has interesting implications for asset substitution, hedging, and pecking order. Growth opportunities do not greatly affect cash holding policy.

This paper analyzes the properties of standard estimators, tests, and confidence sets (CS's) for parameters that are unidentified or weakly identified in some parts of the parameter space. The paper also introduces methods to make the tests and CS's robust to such identification problems. The results apply to a class of extremum estimators and corresponding tests and CS's that are based on criterion functions that satisfy certain asymptotic stochastic quadratic expansions and that depend on the parameter that determines the strength of identification. This covers a class of models estimated using maximum likelihood (ML), least squares (LS), quantile, generalized method of moments, generalized empirical likelihood, minimum distance, and semi-parametric estimators. The consistency/lack-of-consistency and asymptotic distributions of the estimators are established under a full range of drifting sequences of true distributions. The asymptotic sizes (in a uniform sense) of standard and identification-robust tests and CS's are established. The results are applied to the ARMA(1, 1) time series model estimated by ML and to the nonlinear regression model estimated by LS. In companion papers, the results are applied to a number of other models.

Using institutional investor demand as a proxy for revisions in sophisticated investors' expectations, we test whether financial strength information is gradually impounded over time. Consistent with the gradual incorporation of information, financial strength predicts both future returns and future institutional investor demand. Further consistent with the gradual incorporation of information, more sophisticated transient (high-turnover) institutions respond to financial strength signals prior to less sophisticated, nontransient institutions. A number of additional tests suggest that financial strength forecasts stock returns, at least in part, because it forecasts institutional demand, and institutional demand drives prices.

Mutual funds whose managers are in the same educational network as the firm's CEO are more likely to vote against shareholder-initiated proposals to limit executive compensation than out-of-network funds are. This voting propensity is stronger when voting among the funds in a family is not unanimous. Furthermore, CEOs of firms who have relatively high levels of educationally connected mutual fund ownership have higher levels of compensation than their unconnected counterparts. This aspect of executive compensation is related to both the abnormal trading performance of the connected investors in the firm and the perceived quality of firm management by the connected investors.

Society has several institutional mechanisms that promote the control of product health and safety risks and compensation of the income losses that these risks generated. For risks traded in the market, economic forces at work foster each of these objectives. Social insurance programs, such as worker's compensation, promote the compensation objective directly and influence safety incentives through the meritrating procedure. Two additional institutional mechanisms, which are the focus of this paper, are tort liability and regulation. Each of these institutions has assumed a more active role in the last two decades and has been the focus of considerable academic and policy debate. What is most noteworthy about these discussions is that both policymakers and economic analysts generally view each institution as the only societal response to the risk. In the field of legal scholarship, this narrow approach has been termed the tortcentric perspective by Richard Stewart (1987a, b). Such a piecemeal approach may be necessary in some cases as an analytic convenience, but it neglects potentially important interactions of the two systems. In this paper I explore the nature of the institutional interactions in Section I and examine the appropriate institutional design in Section II. The general conclusion is that risk regulation should play a dominant role in augmenting market incentives for risk reduction and that the scope of product liability remedies should be scaled back to reflect its subsidiary role.

This paper is concerned with tests and confidence intervals for parameters that are not necessarily point identified and are defined by moment inequalities. In the literature, different test statistics, critical-value methods, and implementation methods (i.e., the asymptotic distribution versus the bootstrap) have been proposed. In this paper, we compare these methods. We provide a recommended test statistic, moment selection critical value, and implementation method. We provide data-dependent procedures for choosing the key moment selection tuning parameter κ and a size-correction factor η.

ABSTRACT We examine the influence of investor sentiment on managers’ discretionary disclosure of “pro forma” (adjusted) earnings metrics in earnings press releases. We find that managers’ propensity to disclose an adjusted earnings metric (especially one that exceeds the GAAP earnings number) increases with the level of investor sentiment. Furthermore, our analyses suggest that, as investor sentiment increases, managers: (1) exclude higher levels of both recurring and nonrecurring expenses in calculating the pro forma earnings number and (2) emphasize the pro forma figure by placing it more prominently within the earnings press release. Additional analyses indicate that the association between investor sentiment and managers’ pro forma disclosure decisions at least partly reflects opportunistic motives. Finally, we find that managers’ own sentiment‐driven expectations also play a role in their pro forma disclosure decisions.

Consumers respond positively to products tied to charity, particularly from sellers that are relatively new and hence have limited alternative means of assuring quality. We establish this result using data from a diverse group of eBay sellers who “experiment” with charity by varying the presence of a donation in a set of otherwise matched product listings. Most of charity's benefits accrue to sellers without extensive eBay histories. Consistent with charity serving as a quality signal, we find fewer customer complaints among charity-intensive sellers.

We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.

Because big banks could impact competition in rural markets, we investigate the effects of big-bank presence on the performance of rural, small banks. When competing against a big bank, rural one-county banks operate at lower levels of proit efficiency, but with higher ROA and increased levels of interest and fee income from loans. Lower profit efficiency and higher returns in the rural markets suggest that big banks possess market power in rural markets and that they can extract rents to earn higher returns with lower than average profit efficiency. Therefore, small banks in rural markets should not fear large competitors. Conversely, customers who rely on loans from rural, small banks are negatively impacted by higher rates and fees on loans when a big bank is present in the market.