We catalog the complete contents of Institutional Investor All-American analyst reports and examine the market reaction to their release. Including the justifications supporting an analyst's opinion reduces, and in some models eliminates, the significance of earnings forecasts and recommendation revisions. Analysts both provide new information and interpret previously released information. The information in a report is most important for downgrades; target prices and the analyst's justifications are the only significant elements for reiterations. No correlation exists between valuation methodology and either analyst accuracy or the market's reaction to a report. Our adjusted R2s are much larger than those of studies using only summary measures.

We examine the risk characteristics and capital adequacy of hedge funds through the Value-at-Risk approach. Using extensive data on nearly 1,500 hedge funds, we find only 3.7% live and 10.9% dead funds are undercapitalized as of March 2003. Moreover, the undercapitalized funds are relatively small and constitute a tiny fraction of total fund assets in our sample. Cross-sectionally, the variability in fund capitalization is related to size, investment style, age, and management fee. Hedge fund risk and capitalization also display significant time variation. Traditional risk measures like standard deviation or leverage ratios fail to detect these trends.

We examine the risk-return characteristics of a rolling portfolio investment strategy where more than 6000 Nasdaq initial public offering (IPO) stocks are bought and held for up to 5 years. The average long-run portfolio return is low, but IPO stocks appear as “longshots”, as 5-year buy-and-hold returns of 1000% or more are somewhat more frequent than for non-issuing Nasdaq firms matched on size and book-to-market ratio. The typical IPO firm is of average Nasdaq market capitalization but has relatively low book-to-market ratio. We also show that IPO firms exhibit relatively high stock turnover and low leverage, which may lower systematic risk exposures. To examine this possibility, we launch an easily constructed “low-minus-high” (LMH) stock turnover portfolio as a liquidity risk factor. The LMH factor produces significant betas for broad-based stock portfolios, as well as for our IPO portfolio and a comparison portfolio of seasoned equity offerings. The factor-model estimation also includes standard characteristic-based risk factors, and we explore mimicking portfolios for leverage-related macroeconomic risks. Because they track macroeconomic aggregates, these mimicking portfolios are relatively immune to market sentiment effects. Overall, we cannot reject the hypothesis that the realized return on the IPO portfolio is commensurable with the portfolio's risk exposures, as defined here.

Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy. However, the sparse information sets typically used in these empirical models lead to at least three potential problems with the results. First, to the extent that central banks and the private sector have information not reflected in the VAR, the measurement of policy innovations is likely to be contaminated. Second, the choice of a specific data series to represent a general economic concept such as “real activity” is often arbitrary to some degree. Third, impulse responses can be observed only for the included variables, which generally constitute only a small subset of the variables that the researcher and policy-maker care about. In this paper we investigate one potential solution to this limited information problem, which combines the standard structural VAR analysis with recent developments in factor analysis for large data sets. We find that the information that our factor-augmented VAR (FAVAR) methodology exploits is indeed important to properly identify the monetary transmission mechanism. Overall, our results provide a comprehensive and coherent picture of the effect of monetary policy on the economy.

Modigliani and Cohn hypothesize that the stock market suffers from money illusion, discounting real cash flows at nominal discount rates. While previous research has focused on the pricing of the aggregate stock market relative to Treasury bills, the money-illusion hypothesis also has implications for the pricing of risky stocks relative to safe stocks. Simultaneously examining the pricing of Treasury bills, safe stocks, and risky stocks allows us to distinguish money illusion from any change in the attitudes of investors toward risk. Our empirical results support the hypothesis that the stock market suffers from money illusion.

The costs of implementing investment strategies represent a significant drag on the performance of mutual funds and other institutional investors. It is the responsibility of institutional investors, and in the interests of the individual investors they represent, to seek market mechanisms that mitigate trading costs. We investigate an example of one such liquidity provision mechanism whereby liquidity demanders auction a set of trades as a package directly to potential liquidity providers. A critical feature of the auction is that the identities of the securities in the package are not revealed to the bidder. We demonstrate that this mechanism provides a transactions cost savings relative to more traditional trading mechanisms for the liquidity demander as well as an efficient way for liquidity suppliers to obtain order flow. We argue that the cost savings afforded this new mechanism are due to the potential for low cost crosses with the bidder's existing inventory positions and through the longer trading horizon, and superior trading ability, of the bidders. This research suggests that the ability to innovate via new liquidity provision mechanisms can provide market participants with transaction cost savings that cannot be easily duplicated on more traditional exchanges.

We hypothesize and find that (1) earnings conservatism, the tendency of firms to recognize bad news in earnings on a more timely basis than good news, is substantially greater in portfolios of firms with lower price‐to‐book ratios than in portfolios of firms with higher price‐to‐book ratios; and (2) the negative association between earnings conservatism and the price‐to‐book ratio stems primarily from the accrual component of earnings, not the operating cash flow component of earnings. Our results suggest that studies using earnings‐returns associations to investigate cross‐sectional or time‐series differences in earnings conservatism risk drawing erroneous inferences unless the research designs control for cross‐sectional or time‐series variation in price‐to‐book ratios.

We present a model in which setting up and running a regulatory institution takes a fixed cost. As a consequence, the supply of regulation is limited by the extent of the market. We test three implications of this model. First, jurisdictions with larger populations affected by a given regulation are more likely to have it. Second, jurisdictions with lower incremental fixed costs of introducing and administering new regulations should regulate more. This implies that regulation spreads from higher to lower population jurisdictions, and that jurisdictions that build up transferable regulatory capabilities should regulate more intensely. Consistent with the model, we find that higher population U. S. states have more pages of legislation and adopt particular laws earlier in their history than do smaller states. We also find that the regulation of entry, the regulation of labor, and the military draft are more extensive in countries with larger populations, as well as in civil law countries, where we argue that the incremental fixed costs are lower.

We estimate parameters of standard stock selection and market timing models using daily mutual fund returns and quarterly measurement periods. We then rank funds quarterly by abnormal return and measure the performance of each decile the following quarter. The average abnormal return of the top decile in the post-ranking quarter is 39 basis points. The post-ranking abnormal return disappears when funds are evaluated over longer periods. These results suggest that superior performance is a short-lived phenomenon that is observable only when funds are evaluated several times a year.

We test the ability of analyst characteristics to explain relative forecast accuracy across legal origins (common law versus civil law). Common‐law countries generally have more effective corporate governance mechanisms, including stronger investor protection laws and inputs provided through higher‐quality financial reporting systems. In this type of environment, we predict that analysts with superior ability and resources in common‐law countries will more consistently outperform their peers because appropriate market‐based incentives exist. In civil‐law countries, where the demand for earnings information is reduced because of weaker corporate governance mechanisms and lower‐quality financial reporting, we predict that analysts with superior ability will less consistently provide superior forecasts. Results are consistent with our expectations and suggest an association between legal and financial reporting environments and analysts' forecast behavior.