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 r
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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.
Business/Finance
Electronic and Algorithmic Trading Technology
The Complete Guide
Kendall Kim
“Kendall Kim's work is a thorough snapshot of the world of automated trading… Packed with examples and anecdotes, it makes an impressive reference guide to the multitudes of algorithms, systems and regulations in existence across the globe.” ―Matthew J. Smalley, Director - ETD Execution Technology, UBS Investment Bank
“Kendall Kim provides readers with a 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 a roadmap to the world of computer trading and is an 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. Anyone who wants to learn more about this rapidly evolving phenomenon can benefit by reading Kendall’s book.” ―Jeff Hudson, CEO, Vhayu Technologies Corporation
“Electronic and Algorithmic Trading Technology is an excellent resource for both academics and financial professionals… Kendall Kim has managed to provide an insightful, engaging, and eminently accessible summary of the core elements of algorithmic and electronic trading, the challenges faced by all trading businesses today, and what lies in store for the future of trading across a multitude of asset classes.” ―Manny Santayana, Managing Director Advanced Execution Services – Equities, Credit Suisse
Electronic and Algorithmic Trading Technology is the ultimate guide for trading managers, brokers, and back-office processing directors to understand the new technologies that can cut transaction costs, eliminate human error, boost trading efficiency, and supplement productivity--in short, save and make money for the firm.
Kendall Kim consults as a Business Analyst based out of New York, NY. He has consulted and worked for firms such as UBS Investment Bank, Deutsche Bank and Goldman Sachs. He specializes in delivering technology solutions to Wall Street securities firms.
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