This book describes an advanced computer-based options trading system for which we can prove that it should outperform the market averages with a relatively low risk--including its analysis, design, implementation, operation and maintenance.
Beginning with a detailed discussion of the World Trade Organisation and the Uruguay Round and its achievements, this book delves into the causal factors behind the failure to launch the new round of multilateral trade negotiations in Seattle in December 1999. Dilip K. Das tries to determine the precise point reached by the global trading system and map out a way forward, exploring the likely items to be included in the agenda for the new round of multilateral trade negotiations and provides contours for a post-Seattle global trading system.
This book is based on A Trading Desk's View of Market Quality, a conference hosted by the Zicklin School of Business on April 30, 2002. The text includes the edited transcripts of each panel as well as separate presentations by two distinguished industry officials, Joel Steinmetz, who at the time was Senior Vice President, Equities, Instinet Corporation, and Laura Unger, formerly Acting Chairperson and Commissioner of the U.S. Securities and Exchange Commission. This book is not simply a historical record of the conference. It is also an exposition of the complex issues raised by the industry experts and speakers in attendance. Therefore, we introduced new material from foll- up interviews with many of the panelists so that the final result would be a more valuable document. Our intention was to examine the discussions with a critical eye, then modify or expand various sections to reflect contemporary conditions. In addition, we have included a paper by Ozenbas, Schwartz and Wood (see Chapter 8, page 151) that provides further analysis on the connection between market quality and intra-day 1 volatility that was noted several times during the conference. During the production process, we worked with the panelists, and took pains not to put words in their mouths. They have all approved the final draft of the manuscript, and we thank them for their assistance and patience.
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of "concepts" and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:
contemporary power generation;
process control and
conventional benchmarking problems.
Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
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