Ordinary shares, exotic methods :: financial forecasting using data mining techniques /
Exotic methods refer to a particular function within a general soft computing method such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market stat...
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| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
River Edge, N.J. :
World Scientific,
©2003.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Exotic methods refer to a particular function within a general soft computing method such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment. This text uses particular aspects of the general method to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three - uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices. |
| Beschreibung: | 1 online resource (ix, 186 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references (pages 155-183) and index. |
| ISBN: | 9789812791375 981279137X 1281933899 9781281933898 |
Internformat
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| 100 | 1 | |a Tay, Francis E. H. | |
| 245 | 1 | 0 | |a Ordinary shares, exotic methods : |b financial forecasting using data mining techniques / |c Francis Eng-Hock Tay, Lixiang Shen, Lijuan Cao. |
| 260 | |a River Edge, N.J. : |b World Scientific, |c ©2003. | ||
| 300 | |a 1 online resource (ix, 186 pages) : |b illustrations (some color) | ||
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| 504 | |a Includes bibliographical references (pages 155-183) and index. | ||
| 505 | 0 | 0 | |g Ch. 1. |t Financial Forecasting Problem and Data Mining Techniques -- |g Ch. 2. |t Genetic Algorithms and Genetic Niching -- |g Ch. 3. |t Portfolio Selection and Optimization Using Genetic Operators -- |g Ch. 4. |t The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting -- |g Ch. 5. |t Time Series Forecasting using Rough Sets Theory -- |g Ch. 6. |t A Review of Support Vector Machines in Regression Estimation -- |g Ch. 7. |t Application of Support Vector Machines in Financial Time Series Forecasting -- |g Ch. 8. |t Other Methods and Their Applications. |
| 588 | 0 | |a Print version record. | |
| 520 | |a Exotic methods refer to a particular function within a general soft computing method such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment. This text uses particular aspects of the general method to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three - uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices. | ||
| 650 | 0 | |a Investments |x Data processing. | |
| 650 | 0 | |a Stock price forecasting |x Data processing. | |
| 650 | 0 | |a Data mining. |0 http://id.loc.gov/authorities/subjects/sh97002073 | |
| 650 | 2 | |a Data Mining |0 https://id.nlm.nih.gov/mesh/D057225 | |
| 650 | 6 | |a Investissements |x Informatique. | |
| 650 | 6 | |a Actions (Titres de société) |x Prix |x Prévision |x Informatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Investments & Securities |x General. |2 bisacsh | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Investments |x Data processing |2 fast | |
| 650 | 7 | |a Stock price forecasting |x Data processing |2 fast | |
| 700 | 1 | |a Shen, Lixiang. | |
| 700 | 1 | |a Cao, Lijuan. | |
| 758 | |i has work: |a Ordinary shares, exotic methods (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFrPjDG8CWcKGcYtQBc96q |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Tay, Francis E.H. |t Ordinary shares, exotic methods. |d River Edge, N.J. : World Scientific, ©2003 |z 9812380752 |w (DLC) 2003544794 |w (OCoLC)52171286 |
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Datensatz im Suchindex
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| _version_ | 1816796907037523968 |
| adam_text | |
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| author | Tay, Francis E. H. |
| author2 | Shen, Lixiang Cao, Lijuan |
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| author_facet | Tay, Francis E. H. Shen, Lixiang Cao, Lijuan |
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| callnumber-search | HG4515.5 .T39 2003eb |
| callnumber-sort | HG 44515.5 T39 42003EB |
| callnumber-subject | HG - Finance |
| collection | ZDB-4-EBU |
| contents | Financial Forecasting Problem and Data Mining Techniques -- Genetic Algorithms and Genetic Niching -- Portfolio Selection and Optimization Using Genetic Operators -- The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting -- Time Series Forecasting using Rough Sets Theory -- A Review of Support Vector Machines in Regression Estimation -- Application of Support Vector Machines in Financial Time Series Forecasting -- Other Methods and Their Applications. |
| ctrlnum | (OCoLC)824698165 |
| dewey-full | 332.63/2042 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332.63/2042 |
| dewey-search | 332.63/2042 |
| dewey-sort | 3332.63 42042 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-4-EBU-ocn824698165 |
| illustrated | Illustrated |
| indexdate | 2024-11-26T14:49:08Z |
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| isbn | 9789812791375 981279137X 1281933899 9781281933898 |
| language | English |
| oclc_num | 824698165 |
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| spelling | Tay, Francis E. H. Ordinary shares, exotic methods : financial forecasting using data mining techniques / Francis Eng-Hock Tay, Lixiang Shen, Lijuan Cao. River Edge, N.J. : World Scientific, ©2003. 1 online resource (ix, 186 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 155-183) and index. Ch. 1. Financial Forecasting Problem and Data Mining Techniques -- Ch. 2. Genetic Algorithms and Genetic Niching -- Ch. 3. Portfolio Selection and Optimization Using Genetic Operators -- Ch. 4. The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting -- Ch. 5. Time Series Forecasting using Rough Sets Theory -- Ch. 6. A Review of Support Vector Machines in Regression Estimation -- Ch. 7. Application of Support Vector Machines in Financial Time Series Forecasting -- Ch. 8. Other Methods and Their Applications. Print version record. Exotic methods refer to a particular function within a general soft computing method such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment. This text uses particular aspects of the general method to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three - uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices. Investments Data processing. Stock price forecasting Data processing. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Investissements Informatique. Actions (Titres de société) Prix Prévision Informatique. Exploration de données (Informatique) BUSINESS & ECONOMICS Investments & Securities General. bisacsh Data mining fast Investments Data processing fast Stock price forecasting Data processing fast Shen, Lixiang. Cao, Lijuan. has work: Ordinary shares, exotic methods (Text) https://id.oclc.org/worldcat/entity/E39PCFrPjDG8CWcKGcYtQBc96q https://id.oclc.org/worldcat/ontology/hasWork Print version: Tay, Francis E.H. Ordinary shares, exotic methods. River Edge, N.J. : World Scientific, ©2003 9812380752 (DLC) 2003544794 (OCoLC)52171286 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514292 Volltext |
| spellingShingle | Tay, Francis E. H. Ordinary shares, exotic methods : financial forecasting using data mining techniques / Financial Forecasting Problem and Data Mining Techniques -- Genetic Algorithms and Genetic Niching -- Portfolio Selection and Optimization Using Genetic Operators -- The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting -- Time Series Forecasting using Rough Sets Theory -- A Review of Support Vector Machines in Regression Estimation -- Application of Support Vector Machines in Financial Time Series Forecasting -- Other Methods and Their Applications. Investments Data processing. Stock price forecasting Data processing. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Investissements Informatique. Actions (Titres de société) Prix Prévision Informatique. Exploration de données (Informatique) BUSINESS & ECONOMICS Investments & Securities General. bisacsh Data mining fast Investments Data processing fast Stock price forecasting Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh97002073 https://id.nlm.nih.gov/mesh/D057225 |
| title | Ordinary shares, exotic methods : financial forecasting using data mining techniques / |
| title_alt | Financial Forecasting Problem and Data Mining Techniques -- Genetic Algorithms and Genetic Niching -- Portfolio Selection and Optimization Using Genetic Operators -- The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting -- Time Series Forecasting using Rough Sets Theory -- A Review of Support Vector Machines in Regression Estimation -- Application of Support Vector Machines in Financial Time Series Forecasting -- Other Methods and Their Applications. |
| title_auth | Ordinary shares, exotic methods : financial forecasting using data mining techniques / |
| title_exact_search | Ordinary shares, exotic methods : financial forecasting using data mining techniques / |
| title_full | Ordinary shares, exotic methods : financial forecasting using data mining techniques / Francis Eng-Hock Tay, Lixiang Shen, Lijuan Cao. |
| title_fullStr | Ordinary shares, exotic methods : financial forecasting using data mining techniques / Francis Eng-Hock Tay, Lixiang Shen, Lijuan Cao. |
| title_full_unstemmed | Ordinary shares, exotic methods : financial forecasting using data mining techniques / Francis Eng-Hock Tay, Lixiang Shen, Lijuan Cao. |
| title_short | Ordinary shares, exotic methods : |
| title_sort | ordinary shares exotic methods financial forecasting using data mining techniques |
| title_sub | financial forecasting using data mining techniques / |
| topic | Investments Data processing. Stock price forecasting Data processing. Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Data Mining https://id.nlm.nih.gov/mesh/D057225 Investissements Informatique. Actions (Titres de société) Prix Prévision Informatique. Exploration de données (Informatique) BUSINESS & ECONOMICS Investments & Securities General. bisacsh Data mining fast Investments Data processing fast Stock price forecasting Data processing fast |
| topic_facet | Investments Data processing. Stock price forecasting Data processing. Data mining. Data Mining Investissements Informatique. Actions (Titres de société) Prix Prévision Informatique. Exploration de données (Informatique) BUSINESS & ECONOMICS Investments & Securities General. Data mining Investments Data processing Stock price forecasting Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514292 |
| work_keys_str_mv | AT tayfranciseh ordinarysharesexoticmethodsfinancialforecastingusingdataminingtechniques AT shenlixiang ordinarysharesexoticmethodsfinancialforecastingusingdataminingtechniques AT caolijuan ordinarysharesexoticmethodsfinancialforecastingusingdataminingtechniques |