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Introduction to Financial Technology
- 1st Edition - April 21, 2006
- Author: Roy S. Freedman
- Language: English
- Paperback ISBN:9 7 8 - 1 - 4 9 3 3 - 0 0 7 8 - 5
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 7 0 4 7 8 - 8
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 6 1 8 4 - 7
The financial technology environment is a dynamic, high-pressured, fast-paced world in which developing fast and efficient buy-and-sell order processing systems and order ex… Read more
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Request a sales quoteThe financial technology environment is a dynamic, high-pressured, fast-paced world in which developing fast and efficient buy-and-sell order processing systems and order executing (clearing and settling) systems is of primary importance. The orders involved come from an ever-changing network of people (traders, brokers, market makers) and technology. To prepare people to succeed in this environment, seasoned financial technology veteran Roy Freedman presents both the technology and the finance side in this comprehensive overview of this dynamic area. He covers the broad range of topics involved in this industry--including auction theory, databases, networked computer clusters, back-office operations, derivative securities, regulation, compliance, bootstrap statistics, optimization, and risk management—in order to present an in-depth treatment of the current state-of-the-art in financial technology.
Each chapter concludes with a list of exercises; a list of references; a list of websites for further information; and case studies.
- With amazing clarity, Freedman explains both the technology side and the finance side of financial technology
- Accessible to both finance professionals needing to upgrade their technology knowledge and technology specialists needing to upgrade their finance knowledge
Primary textbook for students in technical schools, career education schools taking courses in Financial Technology, Clearing and Settlement of Financial Transactions, Risk Management systems. Supplemental textbook for students in courses in MIS (management of information systems) in finance; finance, financial engineering, and software engineering.
Chapter 1: What is Financial Technology
1. Financial vs. Commercial Systems
2. Financial vs. Gambling Systems
3. Financial vs. Military Systems and Physical Delivery
4. Non-Physical Communication and Delivery
5. The First Wireless Network
6. Notes and References
7. Discussion Questions
Chapter 2: Prices, Interest, Time
1. Financial Terms
2. Numbers and Prices
3. Time is Money: Loans and Interest
4. Days, Months, and Years.
5. Notes and References
6. Discussion Questions
Chapter 3: Algorithms and Financial Technology
1. Financial Algorithms
2. Spreadsheets
3. Interpreters and Compilers for Procedural Languages
4. Spreadsheet Algorithms for Interpolating Prices and Rates
5. Notes and References
6. Discussion Questions
Chapter 4: Financial Products
1. Technology of Cash Flows
2. Technology of Yields
3. Zero Credit Risk/Zero Coupon Bonds
4. Equities, Dividend Discounts, and Laplace Transforms
5. Databases for Past, Present, and Future Prices
6. Notes and References
7. Discussion Questions
Chapter 5: Identifying Financial Objects
1. Symbology: Identifying Issuers and Owners
2. Other Identifiers in Financial Databases
3. Exchange Ticker Symbols
4. Non-Exchange Traded Products and Portfolios
5. Notes and References
6. Discussion Questions
Chapter 6: Physical Aspects of Financial Networks
1. Financial Network Infrastructures
2. Origins of electronic financial communication networks
3. The Technology of Virtual Delivery
4. Market Data Technology: From Ticker to Consolidated Tape
5. Notes and References
6. Discussion Questions
Chapter 7: Orders and Messages
1. The Anatomy of Orders
2. Order Processing Technology: From Q-Codes to FIX
3. Markup Languages
4. Representing Rules
5. Notes and References
6. Discussion Questions
Chapter 8: Systems of Financial Systems
1. Describing Financial Systems
2. System Analogies
3. Characteristics of Systems of Systems
4. Notes and References
5. Discussion Questions
Chapter 9: Risk
1. Types of Risk in Financial Systems
2. Basic Properties of Probabilities
3. Portfolios and Risk
4. Risk and Hedging
5. Notes and References
6. Discussion Questions
1. Financial vs. Commercial Systems
2. Financial vs. Gambling Systems
3. Financial vs. Military Systems and Physical Delivery
4. Non-Physical Communication and Delivery
5. The First Wireless Network
6. Notes and References
7. Discussion Questions
Chapter 2: Prices, Interest, Time
1. Financial Terms
2. Numbers and Prices
3. Time is Money: Loans and Interest
4. Days, Months, and Years.
5. Notes and References
6. Discussion Questions
Chapter 3: Algorithms and Financial Technology
1. Financial Algorithms
2. Spreadsheets
3. Interpreters and Compilers for Procedural Languages
4. Spreadsheet Algorithms for Interpolating Prices and Rates
5. Notes and References
6. Discussion Questions
Chapter 4: Financial Products
1. Technology of Cash Flows
2. Technology of Yields
3. Zero Credit Risk/Zero Coupon Bonds
4. Equities, Dividend Discounts, and Laplace Transforms
5. Databases for Past, Present, and Future Prices
6. Notes and References
7. Discussion Questions
Chapter 5: Identifying Financial Objects
1. Symbology: Identifying Issuers and Owners
2. Other Identifiers in Financial Databases
3. Exchange Ticker Symbols
4. Non-Exchange Traded Products and Portfolios
5. Notes and References
6. Discussion Questions
Chapter 6: Physical Aspects of Financial Networks
1. Financial Network Infrastructures
2. Origins of electronic financial communication networks
3. The Technology of Virtual Delivery
4. Market Data Technology: From Ticker to Consolidated Tape
5. Notes and References
6. Discussion Questions
Chapter 7: Orders and Messages
1. The Anatomy of Orders
2. Order Processing Technology: From Q-Codes to FIX
3. Markup Languages
4. Representing Rules
5. Notes and References
6. Discussion Questions
Chapter 8: Systems of Financial Systems
1. Describing Financial Systems
2. System Analogies
3. Characteristics of Systems of Systems
4. Notes and References
5. Discussion Questions
Chapter 9: Risk
1. Types of Risk in Financial Systems
2. Basic Properties of Probabilities
3. Portfolios and Risk
4. Risk and Hedging
5. Notes and References
6. Discussion Questions
- No. of pages: 368
- Language: English
- Edition: 1
- Published: April 21, 2006
- Imprint: Academic Press
- Paperback ISBN: 9781493300785
- Hardback ISBN: 9780123704788
- eBook ISBN: 9780080461847
RF
Roy S. Freedman
Roy S. Freedman founded Inductive Solutions, Inc., in 1989. His primary consulting and research interests involve the practical application of mathematics, statistics, and computer technology to risk management problems in trading, operations, and compliance. He is also Adjunct Associate Professor of Financial Engineering at Polytechnic University where he teaches courses on financial technology, operational risk, technology management, and quantitative methods.
Dr. Freedman has written over 60 published papers, two books, and six book chapters. He is the author of "Artificial Intelligence On Wall Street" that appears in the Encyclopedia of Computer Science and Technology (Volume 28) and is the primary editor of Artificial Intelligence in the Capital Markets: State-Of-The-Art Applications for Institutional Investors, Bankers & Traders. Dr. Freedman has been involved in assignments for the New York Stock Exchange, Merrill Lynch, Robertson Stephens, Banco Santander, Meridian Investment Company, Sun Microsystems, Tamiso & Company, Time-Warner, Chemical Bank, The Equitable, Loral, Grumman, and many other institutions.
Prior to his work at Inductive Solutions, Inc., Dr. Freedman was Associate Professor of Computer Science at Polytechnic University.
Dr. Freedman's professional activities include serving as editor and reviewer for several publications and being an invited speaker and teacher at many conferences and seminars. He was the Program Chairman for the first, second, and third International Conference on Artificial Intelligence Applications on Wall Street.
Dr. Freedman received a BS and MS in Mathematics, an MS in Electrical Engineering, and a Ph.D. in Mathematics, all from Polytechnic University in New York City. He is a member of the AAAI, ACM, GARP, IEEE, SIAM, and SQA.
Affiliations and expertise
Founder, Inductive Solutions; Adjunct Professor, Financial Engineering, Polytechnic University, NY