Electronic and Algorithmic Trading Technology

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 complex institutional trading environment. This book outlines a framework for successfully building a software system that provides the functionalities required by the business model.

Autorentext
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.

Inhalt
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