EMERGING EQUITY MARKETS: GROWTH, BENEFITS, AND POLICY CONCERNS

Since the mid-1980s, stock market activity has increased substantiallyin many developing countries. This article first examines themain characteristics of emerging stock markets and illustratesthe evolution of equity prices in these markets during the lastdecade. It then discusses the reasons for the markets' growthand assesses the extent to which they have been affected bydomestic policies and external factors. The authors discussthe likely benefits of these markets, the effects any abruptcorrection in stock prices could have for the economy, and theways in which these markets can be made more efficient.      

Book Reviews

The first review discusses a book on major innovative breakthroughs. The book educationally summarizes fourteen histories of important new products and services, draws general conclusions from these cases, but seems to lack predictive lessons that can assure future dramatic new products. The second and third reviews cover books devoted to cross-functional teams and teamwork. Both books provide helpful guidance in dealing with the practical aspects of making such teams function well in new product development projects. The fourth book describes a rather mechanical lock-step approach to concurrent engineering or total quality development, which is considered its synonym. Specific components are discussed in detail. These include technological development, concept phase, design phase, and production preparation. Although the book ignores the role of marketing, it should prove useful to those interested in the detailed reviews of mechanical engineering procedures such as "The House of Q uality," engineering concept selection, and Taguchi methods of process design analysis. The reviews conclude with brief notes about three other books.     

Capital market equilibrium with moral hazard and flexible technology

(Magill, M., Quinzii, M., 2002. Capital market equilibrium with moral hazard. Journal of Mathematical Economics 38, 149–190) showed that, in a stockmarket economy with private information, the moral hazard problem may be resolved provided that a spanning overlap condition is satisfed. This result depends on the assumption that the technology is given by a stochastic production function with a single scalar input. The object of the present paper is to extend the analysis of Magill and Quinzii to the case of multiple inputs. We show that their main result extends to this general case if and only if, for each firm, the number of linearly independent combinations of securities having payoffs correlated with, but not dependent on, the firms output is equal to the number of degrees of freedom in the firm’s production technology.     

HUMAN CAPITAL AND CONVERGENCE: A PRODUCTION‐FRONTIER APPROACH*

Using nonparametric, production‐frontier methods, we decompose labor productivity growth into components attributable to technological change (shifts in the world production frontier), technological catch‐up (movements toward or away from the frontier), and physical and human capital accumulation (movements along the frontier). We find that (1) technological change is decidedly nonneutral, (2) productivity growth is driven primarily by physical and human capital accumulation, (3) the increased international dispersion of productivity is explained primarily by physical capital accumulation, and (4) international polarization (the shift from a unimodal to a bimodal distribution) is brought about primarily by efficiency changes (technological catch‐up).     

Integration of U.S. Macroeconomic Accounts: A Progress Report

This article reviews the results of this joint agency effort to provide complete and integrated U.S. accounts. It discusses the new data prepared as a result of this effort and the proposed work plan to eliminate some of the major differences within the U.S. accounts and between the U.S. accounts and the new international guidelines.JEL Classification E010     

Modeling conditional return autocorrelation

Empirical estimates of conditional return autocorrelation are generated over the period 1973 to 2000 for S&P500 index data, as well as for a small selection of individual U.S. stocks. We find that conditional autocorrelation is highly variable, and these dynamics are consistent with changes in point autocorrelation estimates generated in various subperiods. The conditional autocorrelation estimates for some stocks exhibited a pattern of mean reversion, while for others, evidence of long-term trends and structural breaks was found. While we were unable to uncover what characteristics drive the nature of these autocorrelation patterns, our analysis ruled out industry, investor type or degree of internationalisation as explanations.     

Did decimalization hurt institutional investors?

We examine institutional trading costs around the move to penny size ticks in 2001 (i.e., decimalization). We find that overall trading costs declined, with improvements in most partitions across order size, firm size, and manager style. Improvements were most pronounced for orders that were executed over multiple days and for stocks where the minimum tick sizes were likely to have been binding. However, costs did increase for orders executed within a single day. The improvements we document contrast with changes accompanying the reduction of minimum ticks to sixteenths in 1997 though, in both cases, results suggest that more patient traders fare relatively better than those that demand immediacy.