Knowledge that Transforms

We test the implications of a model of multi-asset speculative trading in which liquidity differentials between on-the-run and off-the-run U.S. Treasury bonds ensue from endowment shocks in the presence of two realistic market frictions—information heterogeneity and imperfect competition among informed traders—and a public signal. Our evidence suggests that (i) off/on-the-run liquidity differentials are economically and statistically significant, even after controlling for several of the bonds’ intrinsic characteristics (such as duration, convexity, repo rates, or term premiums), and (ii) off/on-the-run liquidity differentials are smaller immediately following bond auction dates, and larger when the uncertainty surrounding the ensuing auction allocations is high, when the dispersion of beliefs across informed traders is high, and when macroeconomic announcements are noisy, consistent with our model.

The “Lake Wobegon Effect,” which is widely cited as a potential cause for rising CEO pay, is said to occur because no firm wants to admit to having a CEO who is below average, and so no firm allows its CEO's pay package to lag market expectations. We develop a game-theoretic model of this Effect. In our model, a CEO's wage may serve as a signal of match surplus, and therefore affect the value of the firm. We compare equilibria of our model to a full-information case and derive conditions under which equilibrium wages are distorted upward.

We examine entrepreneurship and creative destruction following US banking deregulations using US Census Bureau data. US banking reforms brought about exceptional growth in both entrepreneurship and business closures. Most of the closures, however, were the new ventures themselves. Although we find evidence for the standard story of creative destruction, the most pronounced impact was a massive increase in churning among new entrants. We argue that creative destruction requires many business failures along with the few great successes. The successes are difficult to identify ex ante, which is why democratizing entry is an important trait of well-functioning capital markets.

This paper studies international equity markets when some investors have private information that is valuable for trading in many countries simultaneously. We use a dynamic model of equity trading to show that global private information helps explain US investors’ trading behavior and performance. In particular, the model predicts global return chasing (positive co-movement of US investors’ net purchases with returns in many countries) which we show to be present in the data. Return chasing in our model can be due to superior performance of US investors, not inferior knowledge or naive trend-following. We also show that trades due to private information are strongly correlated across countries. A common (global) factor accounts for about half their variation.

Flotation costs represent a significant loss of capital to firms and are positively related to information asymmetry between managers and outside investors. We measure a firm's information asymmetry by its accounting information quality based on two extensions of the Dechow and Dichev [2002. The quality of accruals and earnings: the role of accrual estimation errors. Accounting Review 77, 35–59] earnings accruals model, which is a more direct approach to assessing the information available to outside investors than the more commonly used proxies. Our main hypothesis is that poor accounting information quality raises uncertainty about a firm's financial condition for outside investors, though not necessarily for insiders. This accounting effect lowers demand for a firm's new equity, thereby raising underwriting costs and risk. Using a large sample of seasoned equity offerings (SEOs), we show that poor accounting information quality is associated with higher flotation costs in terms of larger underwriting fees, larger negative SEO announcement effects, and a higher probability of SEO withdrawals. These results are robust to joint determination of offer size and flotation cost components and to adjustments for sample selection bias.

We use mutual fund manager data from the technology bubble to examine the hypothesis that inexperienced investors play a role in the formation of asset price bubbles. Using age as a proxy for managers’ investment experience, we find that around the peak of the technology bubble, mutual funds run by younger managers are more heavily invested in technology stocks, relative to their style benchmarks, than their older colleagues. Furthermore, young managers, but not old managers, exhibit trend-chasing behavior in their technology stock investments. As a result, young managers increase their technology holdings during the run-up, and decrease them during the downturn. Both results are in line with the behavior of inexperienced investors in experimental asset markets. The economic significance of young managers’ actions is amplified by large inflows into their funds prior to the peak in technology stock prices.

We hypothesize that managers use stock splits to attract more uninformed trading so that market makers can provide liquidity services at lower costs, thereby increasing investors’ trading propensity and improving liquidity. We examine a large sample of stock splits and find that, consistent with our hypothesis, the incidence of no trading decreases and liquidity risk is lower following splits, implying a decline in latent trading costs and a reduced cost of equity capital. Further, split announcement returns are correlated with the improvements in both liquidity levels and liquidity risk. Our analysis suggests nontrivial economic benefits from liquidity improvements, with less liquid firms benefiting more from stock splits.