This paper studies the factors that were associated with a bank's early exit from the Troubled Asset Relief Program (TARP) in 2009. Executive pay restrictions were often a rationale cited for early TARP exit, and high levels of CEO pay in 2008 were associated with banks being significantly more likely to escape TARP. In addition, we find that larger publicly traded banks with better accounting performance, the stronger capital ratios, and fewer troubled loans and other assets exited early. Banks that raised private capital in 2009 were significantly more likely to return the taxpayers’ money early. The original eight TARP recipients, which received 165 billion of the 245 billion passed out, had weak tangible common equity ratios at the end of 2008, relative to other TARP recipients. Those eight banks raised common equity capital in 2009, and all at least partially exited the government's embrace.

We study the long-run effects of product market advertising on the equity of firms conducting initial public offerings (IPOs). We find that firms going public with a greater extent of advertising prior to their IPOs are valued higher both in the IPO as well as in the immediate aftermarket, are associated with greater upward price revisions from the pre-IPO filing range means, and have smaller long-run post-IPO stock returns. The above results hold even after controlling for the effects of investor attention, as proxied by the pre-IPO media coverage received by firms going public. We show, using a number of additional tests, that the above findings are consistent with the implications of the heterogeneous beliefs theories of Miller (1977), Harrison and Kreps (1978), and Morris (1996), along with an assumption that product market advertising increases the heterogeneity in outside investor beliefs about firms going public.

This study investigates whether MD&A disclosures have predictive ability for future firm performance in cases of disproportionate inventory increases. Using a sample of 568 manufacturing firms with disproportionate inventory increases, I find that the favorability of explanations for inventory changes in MD&A is positively associated with a firm’s profitability and sales growth in the subsequent three years. I also find that future profitability and sales growth of firms that do not explain disproportionate inventory increases in MD&A fall between those of firms with favorable explanations and firms with unfavorable explanations. These results suggest that the existence and the favorability of MD&A inventory disclosures help users interpret disproportionate inventory increases and predict future firm performance.

We develop a novel term-structure model for pricing GDP-linked bonds, hypothetical securities with cash-flows indexed to the level of U.S. GDP. For this purpose, we rely on a term-structure model of equity yields estimated using the prices of dividend swaps, which we assume span GDP growth. Our approach provides a novel way of estimating the relative cost of conventional and GDP-linked bonds, as well as measuring more general market-based expectations of (and risks around) GDP growth. Our model predicts that U.S. GDP-linked bonds would typically have yields lower than those on conventional Treasury bonds with the same maturity in our sample from 2010 to 2017. Positive expected future GDP growth lowers the yield on GDP-linked bonds relative to conventional bonds, which typically more than offsets the estimated GDP risk premium demanded by investors for holding GDP risk.

We estimate the impact of a poor bank examination rating on the growth rates of individual bank loan portfolios. We use a novel approach to control for loan demand variation and estimate a fixed-effect model using an unbalanced panel with over 381,000 bank-quarter observations from the period 1994–2011. Our estimates show that a poor examination rating has a large negative impact on bank loan growth, even after controlling for the impact of monetary policy, bank capital and liquidity conditions, and any voluntary reduction in lending triggered by weak legacy loan portfolio performance or other bank losses. This previously unidentified effect is consistent with the hypothesis that the bank supervision process successfully constrains the lending activities of banks operating in an unsafe and unsound manner.

In portfolio risk minimization, the inverse covariance matrix prescribes the hedge trades in which a stock is hedged by all the other stocks in the portfolio. In practice with finite samples, however, multicollinearity makes the hedge trades too unstable and unreliable. By shrinking trade sizes and reducing the number of stocks in each hedge trade, we propose a “sparse” estimator of the inverse covariance matrix. Comparing favorably with other methods (equal weighting, shrunk covariance matrix, industry factor model, nonnegativity constraints), a portfolio formed on the proposed estimator achieves significant out-of-sample risk reduction and improves certainty equivalent returns after transaction costs.

This paper provides the first theoretical explanation and the first empirical analysis of contingent value rights (CVRs), which have been used as a means of payment in acquisitions, exchange offers, debt restructurings, Chapter 11 reorganizations, and lawsuit settlements. A CVR is a put option committing to pay additional cash or securities to CVR holders, contingent on the issuer's share price falling below a prespecified reference level. In this paper, we develop a model to show that CVRs can help a higher-intrinsic-value firm to reveal its firm type when the firm faces an asymmetric information problem. Our model predicts that i) when CVRs are offered along with cash or stock, the announcement period abnormal stock return is greater than that in stock offers, ii) firms facing more severe asymmetric information problems are more likely to offer CVRs to signal their firm type, and iii) firms that are relatively more cash-constrained are more likely to offer CVRs rather than cash. We test all three predictions using a sample of mergers and acquisitions. Our empirical results are consistent with the predictions of the model.

Cross-stock momentum builds on the asymmetry in lead-lag linkages and the difference between long-run and short-run contemporaneous co-movements. Data-driven cross-stock linkages generate a monthly alpha of 1.62% ( t -stat=10.03). The asymmetry distinguishes cross-stock momentum from factor momentum, and industry momentum is not subsumed by factor momentum. Factor momentum profit is mostly due to the high cross-stock links. The data-driven linkages vary faster over time than those in previous studies because short-run co-movements incorporate persistent linkages.

We analyze the interaction between a firm's product market advertising and its corporate financing decisions. We consider a firm that faces asymmetric information in both the product and financial markets and that needs to raise external financing to fund its growth opportunity (new project). Any product market advertising undertaken by the firm is visible to the financial market as well. In equilibrium, the firm uses a combination of product market advertising, equity underpricing, and underfinancing (raising a smaller amount of external capital than the full information optimum) to convey its true product quality and the intrinsic value of its projects to consumers and investors. The following two predictions arise from our theoretical analysis for the relation between product market advertising and equity underpricing around new equity issues. First, firms choose a higher level of product market advertising when they are planning to issue new equity, compared with situations in which they have no immediate plans to do so. Second, product market advertising and equity underpricing are substitutes for a firm issuing new equity. We empirically test the above two predictions and find supporting evidence in the context of firms making initial public offerings and seasoned equity offerings.

This article develops precise connections among two general approaches to building interest rate models: a general equilibrium approach using a pricing kernel and the Heath, Jarrow, and Morton framework based on specifying forward rate volatilities and the market price of risk. The connections exploit the observation that a pricing kernel is uniquely determined by its drift. Through these connections we provide, for any arbitrage-free term structure model, a representative-consumer real production economy supporting that term structure model in equilibrium. We put particular emphasis on models in which interest rates remain positive. By modeling the dynamics of the drift of the pricing kernel, we construct a new family of Markovian-positive interest rate models.