In a standard q-theory model, corporate investment is negatively related to the cost of capital. Empirically, we find that the weighted average cost of capital matters for corporate investment. The form of the impact depends on how the cost of equity is measured. When the capital asset pricing model (CAPM) is used, firms with a high cost of equity invest more. When the implied cost of capital is used, firms with a high cost of equity invest less. The implied cost of capital can better reflect the time-varying required return on capital. The CAPM measure reflects forces that are outside the standard model.

This paper is a study of the financing actions by firms to adjust leverage: debt reductions, stock sales, debt issues, and stock purchases. Each type of action is positively autocorrelated. The standard empirical models of corporate leverage produce leverage targets that do not correctly predict actual debt issues and stock sales. Firm-specific time-series regressions with the logarithm of firm assets and market-to-book as regressors, correctly predict these patterns. The estimates imply that on average firms adjust toward their target much faster than generally understood, closing about half of the leverage gap in a year.

This paper provides new evidence on the effect of unionization on the cost of bank loans. By using a regression discontinuity design, we establish a causal relation between new unionization and bank loan pricing. Relative to firms in which unions barely lose elections, firms in which unions barely win elections experience an increase in the spread of the newly originated loans. Further tests suggest that the effect of labor unions on the loan spread arises through the channel of reducing the recovery rate of banks in bankruptcy rather than increasing firms' default risk.

From 2007 to 2020, unlisted Chinese firms paid an average of over US $500 million to listed firms for their shell value in reverse merger transactions. We show that this large shadow price for a public listing sheds light on other features of Chinese markets, including (i) near-zero mortality rates, (ii) frequent major-asset restructurings (MARs), (iii) insensitivity of small-firm prices to corporate earnings, and (iv) a large size effect. A firm-level measure of expected shell probability (ESP) predicts stock returns, MARs, earnings-to-price sensitivity, and short-window returns to initial public offering-related regulatory news. Furthermore, adding ESP to existing pricing models for Chinese stocks significantly improves model performance.

We study firms that go public through reverse mergers (RMs) versus initial public offerings (IPOs) in China. Using a manually assembled data set, we show that pre-listing RM firms are larger, more profitable, and less politically connected than pre-listing IPO firms. Chinese RM firms also have superior post-listing performance, in terms of both operations and stock returns, compared to IPOs matched on industry and size. Unlike IPOs, RM firms do not underperform the market in the long run. These results are in sharp contrast to the evidence on RMs from developed countries. We trace these differences to China's stringent and potentially biased IPO policies, which appear to preclude even high-quality firms from accessing public markets.

We study the relation between severe investor disagreement and stock returns based on the observed short-interest and long positions of hedge funds. We show strong disagreements are prevalent among active, sophisticated investors. From 1997 to 2014, 30% of highly shorted stocks have high hedge fund ownership, but these stocks do not earn abnormal returns. Evidence shows that large simultaneous holdings of short sellers and hedge fund managers likely arise from their information-acquisition activities. Although active long or short positions on average predict subsequent stock returns, neither long investors nor short sellers consistently prevail when the two sides disagree.

Using detailed data on company visits by Chinese mutual funds, we provide direct evidence of mutual fund information acquisition activities and the consequent informational advantages mutual funds establish in local firms. Mutual funds are more likely to visit local and nearby firms both in and outside of their portfolios, but the ease of travel between fund and firm locations can substantially alleviate geographic distance constraints. Company visits by mutual funds are strongly associated with both fund trading activities and fund trading performance. Our results show that geographic constraints and costly information acquisition amplify information asymmetry in financial markets.