News Professor Cheng-Few Lee ranks #1 based on his publications in the 26 core finance journals, and #163 based on publications in the 7 leading finance journals (Source: Most Prolific Authors in the Finance Literature: 1959-2008 by Jean L Heck and Philip L Cooley (Saint Joseph's University and Trinity University). Market microstructure is the study of how markets operate and how transaction dynamics can affect security price formation and behavior. The impact of microstructure on all areas of finance has been increasingly apparent. Empirical microstructure has opened the door for improved transaction cost measurement, volatility dynamics and even asymmetric information measures, among others. Thus, this field is an important building block towards understanding today's financial markets. One of the pioneers in the field of market microstructure is David K Whitcomb, who retired from Rutgers University in 1999 after 25 years of service. David generously funded the David K Whitcomb Center for Research in Financial Services, located at Rutgers University. The Center organized a conference at Rutgers in his honor. This conference showcased papers and research conducted by the leading luminaries in the field of microstructure and drew a broad and illustrious audience of academicians, practitioners and former students, all who came to pay tribute to David K Whitcomb. Most of the papers in this volume were presented at that conference and the contributions to this volume are a lasting bookmark in microstructure. The coverage of topics on this volume is broad, ranging from the theoretical to empirical, and covering various issues from market architecture to liquidity and volatility.

Including contributions spanning a variety of theoretical and applied topics in econometrics, this volume of Advances in Econometrics is published in honour of Cheng Hsiao.

Empirical Studies in Industrial Organization brings together leading scholars who present state-of-the-art research in the spirit of the structure-conduct-performance paradigm embodied in the work of Leonard W. Weiss. The individual chapters are generally empirically or public policy oriented. A number of them introduce new sources of data that, combined with the application of appropriate econometric techniques, enable new breakthroughs and insights on issues hotly debated in the industrial organization literature. For example, five of the chapters are devoted towards uncovering the link between market concentration and pricing behavior. While theoretical models have produced ambiguous predictions concerning the relationship between concentration and price these chapters, which span a number of different markets and situations, provide unequivocal evidence that a high level of market concentration tends to result in a higher level of prices. Three of the chapters explore the impact of market structure on production efficiency, and three other chapters focus on the role of industrial organization on public policy. Contributors include David B. Audretsch, Richard E. Caves, Mark J. Roberts, F.M. Scherer, John J. Siegfried and Hideki Yamawaki.

Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropriate points in time for trading. Within only a few years, this technology propagated itself among market participants along the entire value chain and has nowadays gained a significant market share on securities markets worldwide. Surprisingly, there has been only little research analyzing the impact of this special type of trading on markets. Markus Gsell's book aims at closing this gap by analyzing the drivers for adoption of this technology, the impact the application of this technology has on markets on a macro level, i.e. how the market outcome is affected, as well as on a micro level, i.e. how the exhibited trading behavior of these automated traders differs from normal traders' behavior.