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Neural networks in finance and investing : using artificial intelligence to improve real-world performance

Author: Robert R Trippi; Efraim Turban
Publisher: Chicago : Irwin Professional Pub., ©1996.
Edition/Format:   Print book : English : Rev. edView all editions and formats
Database:WorldCat
Summary:
Neural Networks in Finance and Investing is a revised and expanded edition of the first book to exclusively address the use of neural networks in the financial arena. Robert Trippi and Efraim Turban have assembled here a stellar collection of articles by recognized experts from industry and academia on this increasingly important subject. They discuss neural network successes and failures, as well as identify the
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Genre/Form: Software
Additional Physical Format: Online version:
Neural networks in finance and investing.
Chicago : Irwin Professional Pub., ©1996
(OCoLC)647449083
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Robert R Trippi; Efraim Turban
ISBN: 1557389195 9781557389190
OCLC Number: 34192709
Notes: "A collection of survey and research articles"--Preface.
Includes a complimentary version of ThinksPro neural network software.
Description: xxxix, 821 pages : illustrations ; 24 cm + 1 computer disc (3 1/2 in.)
Details: System requirements for accompanying computer disk: IBM-compatible PC; Windows 95 or Windows 3.1.
Contents: Neural Network Models as an Alternative to Regression / L. Marquez, T. Hill, R. Worthley and W. Remus --
37. A Connectionist Approach to Time Series Prediction: An Empirical Test / R. Sharda and R.B. Patil --
38. Time Series Prediction Using Minimally St. 1. Neural Network Fundamentals for Financial Analysts / L. Medsker, E. Turban and R. Trippi --
2. Artificial Neural Systems: A New Tool for Financial Decision Making / D.D. Hawley, J.D. Johnson and D. Raina --
3. Applying Neural Networks / C. Klimasauskas --
4. A Financial Neural Network Application / R.A. Marose --
5. Analyzing Financial Health: Integrating Neural Networks and Expert Systems / D. Barker --
6. Applying Neural Networks to the Extraction of Knowledge from Accounting Reports: A Classification Study / R.H. Berry and D. Trigueiros --
7. Artificial Neural Networks applied to Ratio Analysis in the Analytic Review Process / J.R. Coakley and C.E. Brown --
8. Recognizing Financial Distress Patterns Using a Neural Network Tool / P.K. Coats and L.F. Fant --
9. Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Networks / E.I. Altman, G. Marco and T. Varetto --
10. A Neural Network Approach to Bankruptcy Prediction / W. Raghupathi, L.L. Schkade and B.S. Raju --
11. Bankruptcy Prediction by Neural Network / E. Rahimian, S. Singh, T. Thammachote and R. Virmani --
12. Neural Networks for Bankruptcy Prediction: The Power to Solve Financial Problems / K.G. Coleman, T.J. Graettinger and W.F. Lawrence --
13. Predicting Bank Failures: A Neural Network Approach / K. Tam and M. Kiang --
14. Neural Networks: A New Tool for Predicting Thrift Failures / L.M. Salchenberger, E.M. Cinar and N.A. Lash --
15. A Study on Using Artificial Neural Networks to Develop an Early-Warning Predictor for Credit Union Financial Distress with Comparison to the Probit Model / C.N.W. Tan --
16. Bankruptcy Prediction Using Neural Networks / R.L. Wilson and R. Sharda --
17. Bond Rating: A Nonconservative Application of Neural Networks / S. Dutta and S. Shekhar --
18. Neural Networks for Bond Rating Improved by Multiple Hidden Layers / A.J. Surkan and J.C. Singleton --
19. Risk Assessment of Mortgage Applications with a Neural Network System: An Update as the Test Portfolio Ages / D.L. Reilly, E. Collins, C. Scofield and S. Ghosh --
20. Predicting Consumer Credit Performance: Can Neural Networks Outperform Traditional Statistical Methods? / L. Richeson, R.A. Zimmerman and K.G. Barnett --
21. Using Neural Networks for Credit Scoring / H.L. Jenson --
22. Economic Prediction Using Neural Networks: The Case of IBM Daily Stock Prices / H. White --
23. Predicting Stock Price Performance: A Neural Network Approach / Y. Yoon and G. Swales --
24. Stock Market Prediction with Modular Neural Networks / T. Kimoto, K. Asakawa, M. Yoda and M. Takeoka --
25. Two Multilayer Perception Training Strategies for Low-Frequency S & P 500 Prediction / Y. Hiemstra and C. Haefke --
26. Using Artificial Neural Networks to Pick Stocks / L. Kryzanowski, M. Galler and D.W. Wright --
27. Testability of the Arbitrage Pricing Theory by Neural Networks / H. Ahmadi --
28. Artificial Neural Network Models of Pricing Initial Public Offerings / B.A. Jain and B.N. Nag --
29. A Commodity Trading Model Based on a Neural Network-Expert System Hybrid / K. Bergeson and D.C. Wunsch II --
30. Commodity Trading with a Three Year Old / J.E. Collard --
31. Trading Equity Index Futures with a Neural Network / R.R. Trippi and D. DeSieno --
32. Neural Networks for Predicting Options Volatility / M. Malliaris and L. Salchenberger --
33. A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks / J.M. Hutchinson, A.W. Lo and T. Poggio --
34. A Model-Selection Approach to Assessing the Information in the Term Structure Using Linear Models and Artificial Neural Networks / N.R. Swanson and H. White --
35. Performance of Neural Networks in Managerial Forecasting / W.C. Jhee and J.K. Lee --
36.
Other Titles: ThinksPro.
Responsibility: Robert R. Trippi, Efraim Turban, editors.

Abstract:

Neural Networks in Finance and Investing is a revised and expanded edition of the first book to exclusively address the use of neural networks in the financial arena. Robert Trippi and Efraim Turban have assembled here a stellar collection of articles by recognized experts from industry and academia on this increasingly important subject. They discuss neural network successes and failures, as well as identify the vast unrealized potential of neural networks in numerous.

Specialized areas of financial decision making.

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