Electronic and Algorithmic Trading Technology -  Kendall Kim

Electronic and Algorithmic Trading Technology (eBook)

The Complete Guide

(Autor)

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2010 | 1. Auflage
224 Seiten
Elsevier Science (Verlag)
978-0-08-054886-9 (ISBN)
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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.

*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
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. 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

Front Cover 1
Electronic and Algorithmic Trading Technology 4
Copyright Page 5
Contents 8
About the Author 14
Series Preface 16
Introduction 20
Chapter 1: Overview of Electronic and Algorithmic Trading 22
1.1. Overview 22
1.2. The Emergence of Electronic Trading Networks 23
1.3. The Participants 25
1.4. The Impact of Decimalization 27
1.5. The Different Faces of Electronic Trading 29
1.6. Program Trading and the Stock Market Crash of 1987 31
1.7. Conclusion 34
Chapter 2: Automating Trade and Order Flow 36
2.1. Introduction 36
2.2. Internal Controls 37
2.3. Trade Cycle 38
2.4. Straight-Through Processing and Trade Automation 40
2.5. Data Management 41
2.6. Order Management Systems 43
2.7. Order Routing 46
2.8. Liquidity Shift 47
2.9. Conclusion 49
Chapter 3: The Growth of Program and Algorithmic Trading 50
3.1. Introduction 50
3.2. A Sample Program Trade 52
3.3. The Downside of Program Trading 54
3.4. Market Growth and IT Spending 57
3.5. Conclusion 59
Chapter 4: Alternative Execution Venues 60
4.1. Introduction 60
4.2. Structure of Exchanges 61
4.3. Rule 390 64
4.4. Exchanges Scramble to Consolidate 65
4.5. Arguments Against Exchanges 65
4.6. The Exchanges in the News 67
4.7. Conclusion 70
Chapter 5: Algorithmic Strategies 72
5.1. Introduction 72
5.2. Algorithmic Penetration 73
5.3. Implementation Shortfall Measurement 75
5.4. Volume-Weighted Average Price 77
5.5. VWAP Definitions 79
5.6. Time-Weighted Average Price 81
5.7. Conclusion 83
Chapter 6: Algorithmic Feasibility and Limitations 84
6.1. Introduction 84
6.2. Trade Structure 85
6.3. Algorithmic Feasibility 85
6.4. Algorithmic Trading Checklist 87
6.5. High Opportunity Costs 87
6.6. Newsflow Algorithms 89
6.7. Black Box Trading for Fixed-Income Instruments 90
6.8. Conclusion 91
Chapter 7: Electronic Trading Networks 92
7.1. Introduction 92
7.2. Direct Market Access 92
7.3. Electronic Communication Networks 96
7.4. Shifting Trends 100
7.5. Conclusion 101
Chapter 8: Effective Data Management 104
8.1. Introduction 104
8.2. Real-Time Data 105
8.3. Strategy Enablers 106
8.4. Order Routing 108
8.5. Impact on Operations and Technology 109
8.6. Conclusion 110
Chapter 9: Minimizing Execution Costs 112
9.1. Introduction 112
9.2. Components of Trading Costs 113
9.3. Price Impacts with Liquidity 114
9.4. Cost of Waiting 118
9.5. Explicit Costs—Commissions, Fees, and Taxes 119
9.6. Conclusion 121
Chapter 10: Transaction Cost Research 124
10.1. Introduction 124
10.2. Post-Trade TCR 126
10.3. Pre-Trade TCR 127
10.4. The Future of Transaction Cost Research 129
10.5. Conclusion 130
Chapter 11: Electronic and Algorithmic Trading for Different Asset Classes 132
11.1. Introduction 132
11.2. Development of Electronic Trading 134
11.3. Electronic Trading Platforms 137
11.4. Types of Systems 140
11.5. TRACE—Reform in Transparency 141
11.6. Foreign Exchange Markets 143
11.7. The FX Market Ecosystem 144
11.8. Conclusion 145
Chapter 12: Regulation NMS and Other Regulatory Reporting 146
12.1. Introduction 146
12.2. Regulatory Challenges 147
12.3. The National Market System 148
12.4. The Impact of Regulatory NMS 152
12.5. Markets in Financial Instruments Directive in Europe 154
12.6. Regulatory and Exchange Reporting 156
12.7. Example of an Exchange Data Processing System 159
12.8. Conclusion 160
Chapter 13: Build vs. Buy 162
13.1. Introduction 162
13.2. Vendor as a Service Provider 164
13.3. Striving to Stand Out 168
13.4. The Surge of Electronic Trading Through Regulatory Changes 170
13.5. Hedge Fund Systems—Outsource or In-House? 170
13.6. Conclusion 173
Chapter 14: Trading Technology and Prime Brokerage 174
14.1. Introduction 174
14.2. Prime Broker Services 175
14.3. The Structure of Hedge Funds 178
14.4. The Impact of Increased Trading Automation 179
14.5. Different Markets and Asset Classes 180
14.6. The Prime Brokerage Market 181
14.7. Conclusion 182
Chapter 15: Profiling the Leading Vendors 184
15.1. Introduction 184
15.2. Profiling Leading Vendors 187
15.3. Order Management Systems 196
Appendix: The Implementation of Trading Systems 202
A.1. Overview 202
A.2. Project Phases 203
A.2. User Acceptance Testing 204
A.3. From Implementation to Customization 205
A.4. The Challenges of Data Integration 205
A.5. Supporting Financial Products 205
Glossary of Terms 208
Index 220

Chapter 2 Automating Trade and Order Flow

2.1 Introduction


Investment firms and broker-dealers have developed their own trading processes honed over time. Input from auditors, regulators, experience, and management have all had an influence in shaping the landscape for trade flow. Securities clearance and settlements also play a major component. It is important to balance risk, soundness, efficiency, and acceptable cost to link the process together. Technology solutions in the front and back office must be run in tandem, in terms of development rate and integration.

The financial industry has been proactively involved with the automation of trade processing. The processing environment is segregated among three subsets: pre-trade, trade, and post-trade (see Exhibit 2.1). In the post-trade sector, a vast number of nonprofessional staff are needed to process repetitive, data-intensive trade information. The personnel expense alone justifies the move to automation. Pre-trade activities have benefited immensely from the introduction of technology. Complex analytical work performed by asset managers and traders today was very difficult prior to the introduction of cost-efficient databases and high-speed computational capacity.

When a trade is traditionally executed in an exchange or in an OTC market, a number of stages must be followed in order to achieve an effective transfer of securities versus payment between counterparties. Close cooperation must exist between the front and back office to prevent mistakes. The segregation between front- and back-office duties minimizes legal violations, such as fraud and embezzlement, or violation of regulations. Operational integrity is maintained through the independent processing of trades, trade confirmations, and settlements. The back office serves several vital functions. It records and confirms trades transacted and provides internal control mechanisms segregating duties. A properly functioning back office will help ensure the integrity of the financial institution and minimize operations, settlement, and legal risks.

The links between front- and back-office operations may range from totally manual to fully computerized systems. The complexity of linking systems should be related to the volume of trading activities undertaken. Operational risk is the risk that information systems or internal controls result in unexpected loss. It can be monitored through examining a series of plausible scenarios. It can be assessed through reviews of procedures, data processing systems, and other operating practices.

Exhibit 2.1 Trade cycle activities.

2.2 Internal Controls


Formal written procedures should be in place for purchase, sales, processing, accounting, clearance, and activities related to transactions. These procedures should be designed to ensure that financial contracts are properly recorded and senior management is aware of exposure, gains, or losses resulting from trading activities. Desirable controls include1

  1. written documentation indicating the range of permissible products, trading authorities, and permissible counterparties;
  2. written position limits for each type of contract or risk type;
  3. a market risk management system to monitor the organization’s exposure to market risk, and written procedures for authorizing trades and excess of position limits;
  4. a credit risk management system to monitor the organization’s exposure to customers and broker dealers;
  5. separation of duties and supervision to ensure that persons executing transactions are not involved in approving the accounting methodology or entries;
  6. a clearly defined flow of order tickets and confirmations designed to verify accuracy and enable reconciliations throughout the system and to enable the reconcilement of trader’s position reports to those positions maintained by an operating unit;
  7. procedures for promptly resolving failures to receive or deliver securities on the date securities are settled;
  8. guidelines for the appropriate behavior of dealing and controlling staff and training of competent personnel to follow written policies and guidelines.

2.3 Trade Cycle


Once a transaction has been executed by the front office, the trade-processing responsibility rests with various back-office personnel. The back office is responsible for processing all payments and delivery or receipt of securities, commodities, and written contracts. They are responsible for verifying the amounts and direction of payments that are made under a range of netting agreements.

Trade processing involves entering a trade agreement on the correct form or into an automated system. After the front office has inputted the trade, verification of transaction data should be performed. Copies of the trade agreement are used for bookkeeping entries and settlements. It is appropriate to evaluate whether an institution’s automated trade-processing system provides adequate support for its processing functions.

CONFIRMATIONS


When a transaction is agreed upon, a confirmation is sent to the counterparty. The back office should then initiate, follow up, and control counterparty confirmations. A strictly controlled confirmation process helps to prevent fraudulent trades. For example, a trader may enter into a fraudulent deal, or a trader could enter into a contract, send the original confirmation, and then destroy copies. This may allow the trader to build up positions without the knowledge of management. The trader when closing out the position would make up a ticket for the originally destroyed contract and pass it on together with the offsetting contract so that the position is netted off. Receipt and verification of incoming confirmations by an independent department would immediately uncover this type of activity.

SETTLEMENT PROCESS


After a purchase or sale has been made, the transaction must be cleared through back-office interaction with a clearing agent. On the settlement date, payments or instruments are exchanged and general ledger entries are updated. Settlement is completed when the buyer or buyer’s agent has received or delivered securities and the seller has been paid. Brokers may assign these tasks to a separate organization such as a clearinghouse, but remain responsible to their customers for ensuring the transactions were handled properly. Losses may be incurred if the counterparty fails to make delivery. In some cases, the clearing agent and broker are liable for any problems that occur in completing the transaction. Settlement risk should be controlled through the continuous monitoring of movement of the institution’s money and securities by the establishment of counterparty limits by the credit department.

RECONCILIATION


The back office should perform timely reconciliation with the policies and procedures of the institution. The individual responsible for performing the reconcilement of accounts should be independent of the person responsible for the input of transaction data. Reconciliation should determine positions held by the front office, as well as provide an audit trail for regulatory reporting. The typical reports that need to be reconciled include trader positions, regulatory reports, broker statements, and income statements.

THE EVOLUTION OF TRADE FLOW


Today’s front office has focused primarily on automation and technology. Trade confirmation and matching have seriously lagged behind. Firms have leveraged technology to remain competitive in the face of rising costs, tighter margins, greater regulation, and compliance. The rise of electronic and algorithmic trading is the clearest representation of this through the influence of complex technology and trading strategies. Regulation has increased pressure on costs. Market conditions, increased competition, and more educated investors have all put pressure on the securities industry to focus on the bottom line and cope with squeezes in margin. As a result of these changes, the back office has lagged behind. There are a number of trends, however, that are helping the back office come up to speed. First, is the adoption of back-office outsourcing, by both traditional investment managers to banks and hedge funds. Outsourcing trends are allowing investment firms to concentrate on their core business, while improving operational efficiency.

2.4 Straight-Through Processing and Trade Automation


The advancement of back-office automation and the use of computer technology to analyze and record trade history have led to the evolution of pre-trade analytics and processes. An increasing amount of market information became available. Bloomberg was a pioneer in this area, merging market data with security information and analytics. These advances allowed information management opportunities to arise between the back and front office. Firms began to devise a means to integrate data flow between two previously distinct sectors of an organization, yielding advances toward straight-through processing (STP).

Efforts have been under way to redirect capital investment toward advances in liquidity, efficiency, and market transparency through the application of technology. The equity and foreign exchange markets have benefited most to date. Open access to historical trade information has been emphasized by the Securities and Exchange Commission (SEC). Institutional money managers continue to control growing proportions of the world’s financial assets. This has caused greater pressure on traditional market structures to provide open, equal access to trading venues for all market participants....

Erscheint lt. Verlag 27.7.2010
Sprache englisch
Themenwelt Sachbuch/Ratgeber
Recht / Steuern Wirtschaftsrecht
Wirtschaft Betriebswirtschaft / Management Finanzierung
ISBN-10 0-08-054886-5 / 0080548865
ISBN-13 978-0-08-054886-9 / 9780080548869
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