Electronic and algorithmic trading has become part of a mainstream response to buy-side traders’ need to move large blocks of shares with minimum market impact in today’s complex institutional trading environment. This book illustrates an overview of key providers in the marketplace. With electronic trading platforms becoming increasingly sophisticated, more cost effective measures handling larger order flow is becoming a reality. The higher reliance on electronic trading has had profound implications for vendors and users of information and trading products. Broker dealers providing solutions through their products are facing changes in their business models such as: relationships with sellside customers, relationships with buyside customers, the importance of broker neutrality, the role of direct market access, and the relationship with prime brokers. Electronic and Algorithmic Trading Technology: The Complete Guide is the ultimate guide to managers, institutional investors, broker dealers, and software vendors to better understand innovative technologies that can cut transaction costs, eliminate human error, boost trading efficiency and supplement productivity. As economic and regulatory pressures are driving financial institutions to seek efficiency gains by improving the quality of software systems, firms are devoting increasing amounts of financial and human capital to maintaining their competitive edge. This book is written to aid the management and development of IT systems for financial institutions. Although the book focuses on the securities industry, its solution framework can be applied to satisfy complex automation requirements within very different sectors of financial services – from payments and cash management, to insurance and securities. Electronic and Algorithmic Trading: The Complete Guide is geared toward all levels of technology, investment management and the financial service professionals responsible for de

Key Features

*First book to address the hot topic of how systems can be designed to maximize the benefits of program and algorithmic trading *Outlines a complete framework for developing a software system that meets the needs of the firm's business model * Provides a robust system for making the build vs. buy decision based on business requirements


Primary audience: CEOs, CTOs, IT professionals, investment managers as well as traders in the financial industry who desire to understand the evolving landscape of trade technology. The objective of this book is to help readers gain a competitive advantage for best price execution, understand inhouse techonology solutions or software vendor products, and to inform readers regarding the effects of regulatory intervention.

Table of Contents

CHAPTER 1 Overview of Electronic and Algorithmic Trading CHAPTER 2 Automating Trade and Order Flow CHAPTER 3 The Growth of Program and Algorithmic Trading CHAPTER 4 Alternative Execution Venues CHAPTER 5 Algorithmic Strategies CHAPTER 6 Algorithmic Feasibility and Limitations CHAPTER 7 Electronic Trading Networks CHAPTER 8 Effective Data Management CHAPTER 9 Minimizing Execution Costs CHAPTER 10 Transaction Cost Research (TCR) CHAPTER 11 Electronic and Algorithmic Trading for Different Asset Classes CHAPTER 12 Regulation NMS and other Regulatory Challenges CHAPTER 13 Build vs. Buy CHAPTER 14 Trading Technology and Prime Brokerage CHAPTER 15 Profiling The Leading Vendors Appendix Implementation of Trading Systems


No. of pages:
© 2007
Academic Press
Print ISBN:
Electronic ISBN:

About the editor

Kendall Kim

Kendall Kim consults as a Business Analyst and lives in Greenwich, CT. He specializes in delivering technology solutions to Wall Street securities firms. In this role he has been responsible for the specification and implementation of large trading, risk management, and real-time market data systems. He has consulted and worked for firms such as UBS Investment Bank, Deutsche Bank, and Goldman Sachs. Kendall holds a bachelor's degree in Economics from Boston University, Boston, MA and a master's degree in Business Administration from The College of William and Mary, Williamsburg, VA.

Affiliations and Expertise

Kendall Kim consults as a Business Analyst and lives in Greenwich, CT. He has consulted and worked for firms such as UBS Investment Bank, Deutsche Bank, and Goldman Sachs.


Advance Praise for Electronic and Algorithmic Trading Technology “Kendall Kim’s Electronic and Algorithmic Trading Technologyis well written, thoroughly researched, and logically organized. I look forward to using the book as a resource for class.” —Dr. Scott Gibson, Professor of Finance at the William & Mary Mason School of Business “In Electronic and Algorithmic Trading Technology, Kendall Kim provides valuable insight into the highly specialized world of computer trading. This includes key terminology and definitions, regulatory background, and industry drivers. In addition, the book provides an overview of the technologies and methodologies that comprise this complex industry. Electronic and Algorithmic Trading Technology is roadmap to the world of computer trading and is essential reading for both buy-and sell-side market participants.” —Sean Gilman, CTO, Currenex “Kendall Kim has managed to give a comprehensive overview of the mechanisms, the competitive landscape, and even some forecasts on the complex and quickly evolving topic of electronic and algorithmic trading technology. Deep domain knowledge is critical to success on Wall Street; understanding complex market forces at work only enhances the value one can bring to their trade. Anyone who wants to learn more about this rapidly evolving phenomenon can benefit by reading Kendall’s book.” —Jeff Hudson, CEO, Vhayu Technologies Corporation "Comprehensive and up-to-date. Useful for both practitioners and academics." —George S. Oldfield, Principal, The Brattle Group Washington, D.C.Electronic and Algorithmic Trading Technology is an excellent resource for bot