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The Price of Immediacy
ABSTRACT This paper models transaction costs as the rents that a monopolistic market maker extracts from impatient investors who trade via limit orders. We show that limit orders are American options. The limit prices inducing immediate execution of the order are functionally equivalent to bid and ask prices and can be solved for various transaction sizes to characterize the market maker's entire supply curve. We find considerable empirical support for the model's predictions in the cross‐section of NYSE firms. The model produces unbiased, out‐of‐sample forecasts of abnormal returns for firms added to the S&P 500 index.
Growth versus Margins: Destabilizing Consequences of Giving the Stock Market What It Wants
ABSTRACT We develop a model in which a firm can devote effort either to increasing sales growth, or to improving per‐unit profit margins. If the firm's manager cares about the current stock price, she will favor the growth strategy when the market pays more attention to growth numbers. Conversely, it can be rational for the market to weight growth measures more heavily when it is known that the firm is following a growth strategy. This two‐way feedback between firms' strategies and the market's pricing rule can lead to excess volatility in real variables, even absent any external shocks.
The Long‐Lasting Momentum in Weekly Returns
ABSTRACT Reversal is the current stylized fact of weekly returns. However, we find that an opposing and long‐lasting continuation in returns follows the well‐documented brief reversal. These subsequent momentum profits are strong enough to offset the initial reversal and to produce a significant momentum effect over the full year following portfolio formation. Thus, ex post, extreme weekly returns are not too extreme. Our findings extend to weekly price movements with and without public news. In addition, there is no relation between news uncertainty and the momentum in 1‐week returns.
More Than Words: Quantifying Language to Measure Firms' Fundamentals
ABSTRACT We examine whether a simple quantitative measure of language can be used to predict individual firms' accounting earnings and stock returns. Our three main findings are: (1) the fraction of negative words in firm‐specific news stories forecasts low firm earnings; (2) firms' stock prices briefly underreact to the information embedded in negative words; and (3) the earnings and return predictability from negative words is largest for the stories that focus on fundamentals. Together these findings suggest that linguistic media content captures otherwise hard‐to‐quantify aspects of firms' fundamentals, which investors quickly incorporate into stock prices.
Bank Loans, Bonds, and Information Monopolies across the Business Cycle
ABSTRACT Theory suggests that banks' private information about borrowers lets them hold up borrowers for higher interest rates. Since hold‐up power increases with borrower risk, banks with exploitable information should be able to raise their rates in recessions by more than is justified by borrower risk alone. We test this hypothesis by comparing the pricing of loans for bank‐dependent borrowers with the pricing of loans for borrowers with access to public debt markets, controlling for risk factors. Loan spreads rise in recessions, but firms with public debt market access pay lower spreads and their spreads rise significantly less in recessions.