THE SPHERE of model financial economics encompasses finance, micro investment theory and much of the economics of uncertainty. As is evident from its influence on other branches of economics including public finance, industrial organization and monetary theory, the boundaries of this sphere are both permeable and flexible. The complex interactions of time and uncertainty guarantee intellectual challenge and intrinsic excitement to the study of financial economics. Indeed, the mathematics of the subject contain some of the most interesting applications of probability and optimization theory. But for all its mathematical refinement, the research has nevertheless had a direct and significant influence on practice. ’ It was not always thus. Thirty years ago, finance theory was little more than a collection of anecdotes, rules of thumb, and manipulations of accounting data with an almost exclusive focus on corporate financial management. There is no need in this meeting of the guild to recount the subsequent evolution from this conceptual potpourri to a rigorous economic theory subjected to systematic empirical examination? Nor is there a need on this occasion to document the wide-ranging impact of the research on finance practice.2 I simply note that the conjoining of intrinsic intellectual interest with extrinsic application is a prevailing theme of research in financial economics. The later stages of this successful evolution have however been marked by a substantial accumulation of empirical anomalies; discoveries of theoretical inconsistencies; and a well-founded concern about the statistical power of many of the test methodologies.3 Finance thus finds itself today in the seemingly-paradoxical position of having more questions and empirical puzzles than at the start of its

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1540-6261.1987.tb04565.x

A Simple Model of Capital Market Equilibrium with Incomplete Information

https://w4.stern.nyu.edu/finance/docs/WP/2000/pdf/wpa00041.pdf

Illiquidity and stock returns: cross-section and time-series effects $

Corporate disclosure is critical for the functioning of an efficient capital market. Firms provide disclosure through regulated financial reports, including the financial statements, footnotes, management discussion and analysis, and other regulatory filings. In addition, some firms engage in voluntary communication, such as management forecasts, analysts? presentations and conference calls, press releases, internet sites, and other corporate reports. Finally, there are disclosures about firms by information intermediaries, such as financial analysts, industry experts, and the financial press.

Information Asymmetry, Corporate Disclosure and the Capital Markets: A Review of the Empirical Disclosure Literature

New tests are presented on the effects of stock illiquidity on stock return. Over time, expected market illiquidity positively affects ex ante stock excess return (usually called â¬Srisk premiumâ¬?). This complements the positive cross-sectional return-illiquidity relationship. The illiquidity measure here is the average daily ratio of absolute stock return to dollar volume, which is easily obtained from daily stock data for long time series in most stock markets. Illiquidity affects more strongly small firms stocks, suggesting an explanation for the changes â¬Ssmall firm effectâ¬? over time. The impact of market illiquidity on stock excess return suggests the existence of illiquidity premium and helps explain the equity premium puzzle.

Illiquidity and Stock Returns: Cross-Section and Time-Series Effects

http://lib.cufe.edu.cn/upload_files/other/4_20140516025625_19.pdf

Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature $

The role of venture capital in the creation of public companies: Evidence from the going-public process

We propose a simple model of equilibrium asset pricing in which there are differences in the amounts of information available for developing inferences about the returns parameters of alternative securities. In contrast with earlier work, we show that parameter uncertainty, or estimation risk, can have an effect upon market equilibrium. Under reasonable conditions, securities for which there is relatively little information are shown to have relatively higher systematic risk when that risk is properly measured, ceteris paribus. The initially very limited model is shown to be robust with respect to relaxation of a number of its principal assumptions. We provide theoretical support for the empirical examination of at least three proxies for relative information: period of listing, number of security returns observations available, and divergence of analyst opinion.

Differential Information and Security Market Equilibrium

Differential information and the small firm effect

This paper surveys recent research on venture capital and suggests directions for future research. There is new empirical evidence in the field, and new theoretical models have resolved some issues. The paper selectively examines recent findings, particularly models and empirical work about staging of financing, the use of syndicates, the process of screening investments, and participation by venture capitalists in IPOs. Finally, the paper identifies some of the remaining issues for which new research is needed.

Christopher B. Barry

Papers

The role of venture capital in the creation of public companies: Evidence from the going-public process

Differential Information and Security Market Equilibrium

Differential information and the small firm effect

New Directions in Research on Venture Capital Finance

Portfolio analysis under uncertain means, variances, and covariances