Information,Asset Prices,and the Volume of Trade

A dynamic equilibrium model is constructed in which agents with access to different information sets participate in the capital market. Agents must use the equilibrium price of capital to make optimal forecasts of the return to holding capital. Examples show that the volume of trade, as well as the price of capital, can be highly correlated with a measure of the information content of prices. This measure of information is the difference between the unconditional entropy of the dividend and the entropy of the dividend conditional on observing the price of capital.     

Integrating the Social Structure of Accumulation and Social Accounting Matrix with the Social Fabric Matrix

The purpose here is to elaborate on the social fabric matrix approach (SFM‐A), and to assess the possibility of integrating it with the social structure of accumulation and the social accounting matrix.The SFM‐A to analysis and policy evaluation allows for cultural values, social beliefs, institutions, attitudes, technology, and the ecological system to be modeled into a system. The guiding goal is to work toward a more complete model of the provisioning process.     

Why Are U.S. Stocks More Volatile?

U.S. stocks are more volatile than stocks of similar foreign firms. A firm's stock return volatility can be higher for reasons that contribute positively (good volatility) or negatively (bad volatility) to shareholder wealth and economic growth. We find that the volatility of U.S. firms is higher mostly because of good volatility. Specifically, stock volatility is higher in the United States because it increases with investor protection, stock market development, new patents, and firm‐level investment in R&D. Each of these factors is related to better growth opportunities for firms and better ability to take advantage of these opportunities.     

ECONOMIC ANALYSIS AND POLICIES FOR ENVIRONMENTAL PROBLEMS

This article explains how economic analysis can be applied to understand environmental problems and to suggest appropriate policies to deal with these problems. Economic analysis is performed using static and dynamic models, and one‐person and several‐person game theoretical models. Policy recommendations include the control of industrial pollution in China and the regulation of world CO₂ emission through the application of a resolution by the United Nations.     

Collective Choice and Control Rights in Firms

Recent writers have asserted that firms controlled by workers are rare because workers have diverse preferences over firm policies, while investors all support wealth maximization. However, the source of the asymmetry between capital and labor remains unclear. We resolve this puzzle by arguing that because financial capital is exceptionally mobile, capital markets induce unanimity. The lower mobility of human capital implies that labor markets are monopolistically competitive and hence that unanimity cannot be expected in labor‐managed firms. Moreover, such firms are vulnerable to takeover by investors, while capital‐managed firms are substantially less vulnerable to takeover by workers.     

The Market Impact of Trends and Sequences in Performance: New Evidence

Bloomfield and Hales (2002) find strong evidence that experimental market subjects are influenced by trends and patterns in a manner supportive of the shifting regimes model of Barberis, Shleifer, and Vishny (1998) . We subject the model to further empirical scrutiny using the football wagering market as our price laboratory. Sports betting markets have several advantages over traditional capital markets as an empirical setting, and commonalities with traditional markets allow for useful insights. We find scant evidence that investors behave in accordance with the model.     

A Test for the Number of Factors in an Approximate Factor Model

An important issue in applications of multifactor models of asset returns is the appropriate number of factors. Most extant tests for the number of factors are valid only for strict factor models, in which diversifiable returns are uncorrelated across assets. In this paper we develop a test statistic to determine the number of factors in an approximate factor model of asset returns, which does not require that diversifiable components of returns be uncorrelated across assets. We find evidence for one to six pervasive factors in the cross-section of New York Stock Exchange and American Stock Exchange stock returns.