The authors estimate and compare a variety of continuous-time models of the short-term riskless rate using the Generalized Method of Moments. The authors find that the most successful models in capturing the dynamics of the short-term interest rate are those that allow the volatility of interest rate changes to be highly sensitive to the level of the riskless rate. A number of well-known models perform poorly in the comparisons because of their implicit restrictions on term structure volatility. They show that these results have important implications for the use of different term structure models in valuing interest rate contingent claims and in hedging interest rate risk. Coauthors are Andrew Karolyi, Francis A. Longstaff, and Anthony B. Sanders.

We compare execution costs (market impact plus commission) on the New York Stock Exchange (NYSE) and Nasdaq for institutional investors. The differences in cost generally conform to each market's area of specialization. Controlling for firm size, trade size, and the money management firm's identity, costs are lower on Nasdaq for trades in comparatively smaller firms, while costs for trading the larger stocks are lower on NYSE. The cost differences estimated from a regression model are, however, sensitive to the choice of time period.

The authors compare execution costs (market impact plus commission) on the New York Stock Exchange (NYSE) and Nasdaq for institutional investors. The differences in cost generally conform to each market's area of specialization. Controlling for firm size, trade size, and the money management firm's identity, costs are lower on Nasdaq for trades in comparatively smaller firms, while costs for trading the larger stocks are lower on NYSE. The cost differences estimated from a regression model are, however, sensitive to the choice of time period.

We compare execution costs (market impact plus commission) on the New York Stock Exchange (NYSE) and Nasdaq for institutional investors. The differences in cost generally conform to each market's area of specialization. Controlling for firm size, trade size, and the money management firm's identity, costs are lower on Nasdaq for trades in comparatively smaller firms, while costs for trading the larger stocks are lower on NYSE. The cost differences estimated from a regression model are, however, sensitive to the choice of time period.

All trades executed by thirty-seven large investment management firms from July 1986 to December 1988 are used to study the price impact and execution cost of the entire sequence('package') of trades that the authors interpret as an order. The authors find that market impact and trading cost are related to firm capitalization, relative package size, and, most importantly, to the identity of the management firm behind the trade. Money managers with high demands for immediacy tend to be associated with larger market impact.

All trades executed by thirty-seven large investment management firms from July 1986 to December 1988 are used to study the price impact and execution cost of the entire sequence('package') of trades that the authors interpret as an order. The authors find that market impact and trading cost are related to firm capitalization, relative package size, and, most importantly, to the identity of the management firm behind the trade. Money managers with high demands for immediacy tend to be associated with larger market impact.

All trades executed by 37 large investment management firms from July 1986 to December 1988 are used to study the price impact and execution cost of the entire sequence (“package”) of trades that we interpret as an order. We find that market impact and trading cost are related to firm capitalization, relative package size, and, most importantly, to the identity of the management firm behind the trade. Money managers with high demands for immediacy tend to be associated with larger market impact.

Preface What Is a Growth Stock? A Hypothesis Regarding the Market's Pricing of Growth Stocks Market Expectations and Responses to New Information Using Fundamental Analysis to Segregate Mispriced Growth Stocks Competitive Analysis Implementing the Strategy Market Anomalies of Importance to Trading Diversification, Risk and Market Efficiency Some Concluding Thoughts Notes Bibliography Index

The authors examine differences in structural characteristics that lead firms of different sizes to react differently to the same economic news. They find that a small firm portfolio contains a large proportion of marginal firms–firms with low production efficiency and high financial leverage. The authors construct two size-matched indices designed to mimic the return behavior of marginal firms and find that these return indices are important in explaining the time-series return difference between small and large firms. Furthermore, risk exposures to these indices are as powerful as log(size) in explaining average returns of size-ranked portfolios.