Author List: Clemons, Eric K.; Weber, Bruce W.;
Journal of Management Information Systems, 1998, Volume 15, Issue 2, Page 41-60.
Financial markets perform many functions, but principal among them is to bring together buyers and sellers and to provide a mechanism for price discovery. Information technology has had a number of significant impacts on financial markets, enabling enormous increases in volumes and more sophisticated trading techniques, such as program trading and index arbitrage. Despite improvements, some large institutional investors identify shortcomings in today's markets that make the process of buying or selling large, block orders time-consuming and costly. To address these concerns, a new trading system, OptiMark, has been built around several innovations, including (1) a graphical user front end for depicting trading preferences, and (2) a back end built on high-performance computers that process expressions of trading interest according to a price-setting algorithm intended to achieve superior outcomes for traders. OptiMark provides a means for more cost-effective block trading and is expected to contribute to regulatory objectives. This paper details the operations of OptiMark, examines its adoption potential, and assesses the impact it may have on block trading, broker-dealer intermediaries, and the equities markets.
Keywords: electronic block trading; financial markets; market structure
Algorithm:

List of Topics

#30 0.383 market trading markets exchange traders trade transaction financial orders securities significant established number exchanges regulatory structures order traditional stock provides
#26 0.137 business large organizations using work changing rapidly make today's available designed need increasingly recent manage years activity important allow achieve
#62 0.114 price buyers sellers pricing market prices seller offer goods profits buyer two-sided preferences purchase intermediary traditional marketplace decisions intermediaries selling
#147 0.076 process problem method technique experts using formation identification implicit analysis common proactive input improvements identify traditional stages identifying explicit setting
#37 0.075 intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related techniques large proposed novel artificial