Electronic and Algorithmic Trading Technology

The Complete Guide
Erscheinungsjahr 2007
ISBN: 978-0-12-372491-5
Verlag: William Andrew Publishing

Buch, Englisch, 224 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 363 g

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 developing and implementing cutting-edge technology. It outlines a complete framework for successfully building a software system that provides the functionalities required by the business model. It is revolutionary as the first guide to cover everything from the technologies to how to evaluate tools to best practices for IT management.

Zielgruppe

Primary audience: CIOs and IT managers in financial services industry, particularly investment houses and banks; software vendors and technology companies who provide solutions for financial services industry; CEOs, CFOs, investment managers and brokers who want to better understand the range of technology options to gain competitive advantage in trading.

Autoren/Hrsg.

Kim, Kendall

Fachgebiete

• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Bankwirtschaft
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines

Inhaltsverzeichnis

CHAPTER 1 Overview of Program 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 Program 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

Über Autor(innen)

Kim, Kendall
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.

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.