Settlement procedures and stock market efficiency

This study examines why most derivatives markets that settle on the day following expiration choose the opening rather than the closing price as the final settlement price (FSP), whereas most markets that settle on the expiration day select an average rather than a single price as the FSP. Four exogenous changes in the Taiwan Futures Exchange settlement procedures provide an experimental basis for studying the settlement procedures’ impact on underlying assets. Greatest market efficiency is observed when the FSP is determined by a single rather than an average price and hypothesize that manipulation is prevented at the expense of market quality.     

Auditors,Specialists, and Professional Jurisdiction in Audits of Fair Values

Auditors frequently use valuation specialists to help them evaluate fair values, but researchers and regulators know little about how auditors use these specialists. Based on interviews with 28 auditors and 14 valuation specialists, I develop a theoretical framework informed by expert systems and professional competition theories. The interviews suggest that institutional pressures in the fair value environment unevenly impact auditors and specialists, causing tension between auditors' needs for ontological security and jurisdictional claims. This tension leads to one-sided competition between auditors and specialists and incomplete acceptance of specialists' work. Auditors' competitive behaviors coupled with this incomplete acceptance result in a tendency to make specialists' work conform to auditors' views. Collectively, these findings suggest that auditors use specialists as an institutional mechanism to create comfort, but not insight. This study links expert systems and professional competition theories, and it provides critical insight into some assumptions underlying tenets of each theory. It also informs researchers, regulators, and practitioners interested in understanding and addressing problems related to the use of specialists.     

Racial differences in the feminization of poverty

The feminization of poverty refers to female householders and their children becoming an increasing percentage of the poor population. After examining effects of race on poverty of female-headed households from 1959 to 1989, this study investigates statistical relationships among female poverty, economic and labor market conditions, and transfer payments (specifically AFDC) by means of the Granger causality test over the period from 1966 to 1988. This study reinforces the plausible assumption that policies which would lower the unemployment rate of females and would increase real economic growth could be expected to reduce the number of poor female households.     

Rates of Return to Schooling in China

This study uses data from a 1988 survey of Chinese individuals to estimate rates of return to schooling in China. The Mincer-type rate of return to schooling was estimated at 4.02 percent in the rural areas and 3.29 percent in the urban areas; these are fairly low estimates compared with similar estimates in other countries. The rate of return to schooling for females was significantly higher than that for males in urban areas. In addition, members of the Communist Party in urban areas had significantly lower returns to schooling compared with non-members.     

Towards a complete real-time electricity market design

The general design for the real-time electricity market presented in this paper optimizes and prices both real and reactive power simultaneously in an AC setting, where all assets—generation, load and transmission—are allowed to bid and are financially settled at the locational price times energy consumed or produced. The result is that transmission lines are compensated for both capacity and admittance, providing incentives for efficient operation of transmission-related assets such as FACTS devices, if price-taking behavior is assumed. Losses are incorporated into the design and become an operating cost for transmission. The market design is shown to be revenue neutral and, under some assumptions, nonconfiscatory.      

E–Commerce and the Australian Economy

This paper considers the likely impact of e–commerce and the Internet on the Australian economy. It surveys literature on the extent and development of e–commerce in Australia and its impact on the shape of the Australian economy. Evidence for the 'renewal' of the Australian economy is presented and examined, especially the question of whether Australia has enjoyed increases in productivity as a result of the production and/or use of new information and communications technology. Australia is seen as broadly well placed to benefit from the Internet and e–commerce. Traditionally isolated from the world's main economic centres and reliant on commodities in international trade, the advent of the Internet is ideal for a country in transition to a service–orientated, knowledge–based economy. As the composition of Australia's exports becomes more service–orientated and knowledge–intensive, traditional trading links with Europe and North America may strengthen relative to those with Asia.     

Business ethics,economic development and protection of the environment in the new world order

The end of the cold war has elevated environmental issues to the highest level of concern for humanity while creating a world order dominated by the United States of America and other Western nations. This new power structure may likely lead to increased business activity in many parts of the world, as nations formerly preoccupied with the cold war turn their attention to economic development. This paper examines the linkages among ethics, economic development and protection and restoration of the environment in The New World Order.Emily F. Carasco is Associate Professor at the Faculty of Law of the University of Windsor. Her research focus is on international law and family law.Jang B. Singh is Associate Professor at the Faculty of Business Administration of the University of Windsor. His research focus is on ethical issues involved in the management process.     

Entrepreneurial beacons: The Yale endowment,run‐ups,and the growth of venture capital

Research summary : This article investigates the social context of entrepreneurship in organizational sectors. Prior research suggests that firm foundings are driven by collective patterns of activity—such as patterns of prior foundings in a given sector. Building on research on social salience and signals, we consider the influence of singular sector‐level triggers, which we call entrepreneurial beacons. We argue that the actions or outcomes of single, salient organizations attract and motivate entrepreneurs, thus increasing the rate of foundings. We test this logic by examining the impact of the Y ale U niversity endowment's investment choices and of venture‐capital‐backed IPO run‐ups on venture‐capital foundings between 1984 and 2011. We find support for the existence and influence of beacons and outline boundary conditions for their effects . Managerial summary : What leads entrepreneurs to found new companies in nascent sectors? In contrast to prior research, which emphasizes patterns of activity, we argue that entrepreneurial activity can sometimes be driven by the actions of a singular trigger—what we call an entrepreneurial beacon. We examine the influence of two such beacons, Y ale U niversity's endowment investments and exceptional venture‐capital‐backed IPO run‐ups, on the founding of new venture‐capital firms over a 28‐year period. We find that Y ale's increased allocations to the venture‐capital asset‐class has a significant influence on the founding of new venture‐capital firms, while exceptional venture‐capital‐backed IPO run‐ups only influence venture‐capital foundings under certain conditions. Overall, we offer an explanation for heretofore anecdotal accounts of certain organizations or events that appear to have an outsized influence on entrepreneurial activity . Copyright © 2016 John Wiley & Sons, Ltd.     

Data-driven tree structure for PIN models

Probability of informed trading (PIN) models characterize trading with certain types of information through a tree structure. Different tree structures with different numbers of groups for market participants have been proposed, with no clear, consistent tree used in the literature. One of the main causes of this inconsistency is that these trees are artificially proposed through a bottom-up approach rather than implied by actual market data. Therefore, in this paper, we propose a method that infers a tree structure directly from empirical data. More precisely, we use hierarchical clustering to construct a tree for each individual firm and then infer an aggregate tree through a voting mechanism. We test this method on US data from January 2002 for 7608 companies, which results in a tree with two layers and four groups. The characteristics of the resulting aggregate tree are between those of several proposed tree structures in the literature, demonstrating that these proposed trees all reflect only part of the market, and one should consider the proposed empirically driven method when seeking a tree representing the whole market.