Developments from the PSLRA: Beyond the Lead Plaintiff Provision in Financial Research

Since the passage of the Private Securities Litigation Reform Act in 1995, a robust literature has analyzed the impact of the lead plaintiff provision, which made it more likely for institutional investors to take on the role of lead plaintiff. Recently, less investigated provisions in the PSLRA have had an increasingly relevant role in shareholder litigation, corporate governance, and how firms choose to go public. In this article, we review the law, finance, accounting, and economics literature to show how these other provisions have evolved over time, affecting the incentives for corporate disclosure, how firms go public, and corporate governance.

Simulation Programs in Financial Institutions

Christine Stewart is Manager of Educational Services for Olson Research Associates. Inc., Greenbelt, Maryland. John A. Haslem is Professor and Chairman of Finance at the University of Maryland

An Analysis of Overhead-Expense Measures and Relative Bank Profitability*

John A. Haslem is Professor of Finance and James P. Bedingfield is an Associate Professor of Accounting at the University of Maryland. A. J. Stagliano is an Associate Professor of Accounting at George Mason University

Bank Funds Management: Interest-Margin Measures and Relative Profitability*

John A. Haslem is Professor of Finance in the College of Business and Management at the University of Maryland. James P. Bedingfield is an Associate Professor of Accounting in the College of Business and Management at the University of Maryland. A.J. Stagliano is Sutula Professor of Accounting at St. Joseph\u27s University

An Analysis of Capital Measures and Relative Bank Profitability

John A. Haslem is Professor of Finance in the College of Business and Management at the University of Maryland . James P. Bedingfield is an Associate Professor of Accounting in the College of Business and Management at the University of Maryland. A.J. Stagliano is the Edward G. Sutula Professor of Accounting at Saint Joseph\u27s University in Philadelphia

Spatial databases: Generating new insights on office design and human behaviours in the workplace

Space Syntax research has shown how human behaviours in the workplace are shaped by spatial configuration; in turn, evidence-based design practices have highlighted ways in which this data can be used to inform tailor-made solutions in office design. Yet, existing research focuses on either single case studies or comparisons of a few cases on a small scale. Also, each study uses its own methods and metrics which makes it difficult to establish wider patterns beyond single datasets. This paper presents a larger than usual data set on workplaces, which has been collected by Spacelab, a design and consultancy practice based in London. This dataset includes spatial and space usage information such as syntactic analysis and desk occupancy on client companies. It resides in a spatial relational database, allowing for systematic combination of the collected data, useful for doing either deeper analysis, or generating benchmarks and baselines. These insights are not only highly relevant to clients but also give rise to opportunities to generate new insights on office design and human behaviours in the workplace from a research perspective Two main research questions relating to the size of samples are discussed: Firstly, whether large samples are necessary to fully understand phenomena, and secondly, whether behavioural patterns vary across cases. Observation data and syntactic analysis are combined to understand in which areas of an office different activities take place. Observation data is also brought together with the functional allocations of space in order to ask whether activities follow the programme introduced by functions such as meeting rooms, kitchens, workspaces, etc. It is shown that observation data only becomes robust and reliable with longer periods of observations than previously recommended. Three to four full days seems to produce reasonably stable results for desk occupancy, while five full days seemed required for percentages of people walking and interacting. Some surprising findings were revealed regarding the distribution of activities in space, for instance dispelling the myth that interactions happen in corridors and highlighting that interactions tend to occur in rather segregated spaces. While it is argued that predictive power of the analysis varies, first steps towards establishing generic patterns have clearly been taken

OTIMIZAÇÃO DE PORTFÓLIOS: ANÁLISE DE EFICIÊNCIA

This article aims to analyze the behavior of a portfolio of assets selected by Data Envelopment Analysis (DEA), optimized by the Sharpe approach, and compare it to portfolios of assets obtained only by DEA or the Sharpe approach. To do that, we used the DEA model to assess the efficiency of shares of the São Paulo Stock Exchange (Bovespa), employing return, variance and other indicators such as input and output variables. Also, we used the Sharpe approach to optimize the portfolio composition. In the comparison of portfolios, we noted that the resulting combination of both models performed better than the portfolios optimized by only one of the models