[Panel data on corporate ownership in thirty-four countries between 1995 and 2006 reveal that newly public firms have concentrated ownership regardless of the level of investor protection. After listing, firms in countries with strong investor protection are more likely to experience decreases in ownership concentration; these decreases occur in response to growth opportunities, and they are associated with new share issuance. We conclude that ownership concentration falls after listing in countries with strong investor protection, because firms in these countries continue to raise capital and grow, diluting blockholders as a consequence.]

Panel data on corporate ownership in thirty-four countries between 1995 and 2006 reveal that newly public firms have concentrated ownership regardless of the level of investor protection. After listing, firms in countries with strong investor protection are more likely to experience decreases in ownership concentration; these decreases occur in response to growth opportunities, and they are associated with new share issuance. We conclude that ownership concentration falls after listing in countries with strong investor protection, because firms in these countries continue to raise capital and grow, diluting blockholders as a consequence.

We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuations on low-price firms, managers respond by supplying shares at lower price levels, and vice versa. We confirm these predictions in time-series and firm-level data using several measures of time-varying catering incentives. More generally, the results provide unusually clean evidence that catering influences corporate decisions, because the process of targeting nominal share prices is not well explained by alternative theories.

We study the relation between the ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental shifts in demand. An asset can be fragile because of concentrated ownership, or because its owners face correlated or volatile liquidity shocks, i.e., they must buy or sell at the same time. We formalize this idea and apply it to mutual fund ownership of US stocks. Consistent with our predictions, fragility strongly predicts price volatility. We then extend the logic of fragility to investigate two natural extensions: (1) the forecast of stock return comovement and (2) the potentially destabilizing impact of arbitrageurs on stock prices.

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 examine empirically how the supply and maturity structure of government debt affect bond yields and expected returns. We organize our investigation around a term-structure model in which risk-averse arbitrageurs absorb shocks to the demand and supply for bonds of different maturities. These shocks affect the term structure because they alter the price of duration risk. Consistent with the model, we find that the maturity-weighted-debt-to-GDP ratio is positively related to bond yields and future returns, controlling for the short rate. Moreover, these effects are stronger for longer-maturity bonds and following periods when arbitrageurs have lost money.

We show that the credit quality of corporate debt issuers deteriorates during credit booms and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the financing costs faced by low-quality firms, so debt issuance of low-quality firms is particularly useful for forecasting bond returns. We show that a significant decline in issuer quality is a more reliable signal of credit market overheating than rapid aggregate credit growth. We use these findings to investigate the forces driving time variation in expected corporate bond returns.

We study the link between investment boom and bust cycles and returns on capital in the dry bulk shipping industry. We show that high current ship earnings are associated with high used ship prices and heightened industry investment in new ships, but forecast low future returns. We propose and estimate a behavioral model of industry cycles that can account for the evidence. In our model, firms overextrapolate exogenous demand shocks and partially neglect the endogenous investment response of their competitors. As a result, firms overpay for ships and overinvest in booms and are disappointed by the subsequent low returns. Formal estimation of the model suggests that modest expectational errors can result in dramatic excess volatility in prices and investment.

What determines the term structure of interest rates? Standard economic theory links the interest rate for maturity T to the willingness of a representative agent to substitute consumption between times 0 and T. The standard model contrasts sharply with a more informal view based on investors ’ preferred habitat, proposed by John Culbertson (1957) and Franco Modigliani and Richard Sutch (1966). According to the preferred-habitat view, there are investor clienteles with preferences for specific maturities, and the interest rate for a given maturity is influenced by the demand of the corresponding clientele and the supply of bonds with that maturity. For example, the typical clientele for long-term bonds are pension funds. An increase in their demand would be expected to raise prices of long-term bonds and thus lower long-term interest rates. In short, preferred habitat implies that there is price pressure in the bond market. While the preferred-habitat view has intuitive appeal, it has not entered into the academic mainstream, typically being relegated to a paragraph in MBA-level textbooks. One reason for this is the mixed findings in early empirical studies of the term structure. Specifically, between 1962 and 1964, the US Treasury and Federal Reserve raised the supply of short-term government debt while simultaneously lowering the supply of long-term debt. This program, known as Operation Twist, aimed to raise short-term interest rates, and so improve the balance of payments, while also lowering long-term rates to stimulate private investment. A number of papers evaluated Operation Twist, and while they reached different conclusions, none found

The abnormal return associated with a stock being added to the S&P 500 has fallen from an average of 7.4% in the 1990s to less than 1% over the past decade. This has occurred despite a significant increase in the share of stock market assets linked to the index. A similar pattern has occurred for index deletions, with large negative abnormal returns during the 1990s but an average return of only 0.1% between 2010 and 2020. We investigate the drivers of this phenomenon and discuss implications for market efficiency. We document a similar decline in the index effect among other families of indices.