Essays on algorithmic trading:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stuttgart
Ibidem-Verlag
2014
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 FLA01 |
| Beschreibung: | 1 online resource |
| ISBN: | 9783838261140 3838261143 9783838201146 3838201140 |
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MARC
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| 505 | 8 | |a Table of Contents; 1 Introduction; 1.1 Motivation and objective of the thesis; 1.2 Structure of the thesis; 2 Research Context: Securities Trading; 2.1 Value chain; 2.2 The role of Algorithmic Trading; 2.2.1 Purposes and users; 2.2.2 Benchmarks and strategies; 2.2.3 Stages of development; 2.2.4 Implications for market operators; 3 Research Approach and Methodology; 3.1 Quantitative Survey; 3.2 Literature Review; 3.3 Simulation of Financial Markets; 3.4 Empirical Analysis; 4 Main Results; 4.1 Paper 1: Investigating the adoption decision | |
| 505 | 8 | |a 4.2 Paper 2: Theoretically assessing structural behavioral differences4.3 Paper 3: Assessing the impact on the market outcome by simulation; 4.4 Paper 4: Empirically assessing the impact on trading behavior; 5 Contribution to theory and practical implications; 5.1 Contribution to theory; 5.2 Practical implications; 6 Limitations and potential further research; 6.1 Limitations; 6.2 Future Research; References; Paper 1: Technological Innovationsin Securities Trading:The Adoption of Algorithmic Trading; 1 Introduction; 2 Related work; 3 Methodology; 4 Research Model; 4.1 Usage | |
| 505 | 8 | |a 4.2 Intention to use4.3 Performance Expectancy; 4.4 Effort Expectancy; 4.5 Task-Technology Fit; 4.6 Technology Expertise; 5 Results; 5.1 Quality criteria of the measurement model; 5.1.1 Reflective constructs; 5.1.2 Formative construct; 5.2 Quality criteria of the structural model; 6 Conclusion; References; Paper 2: Is Algorithmic Trading distinctively different?; 1 Introduction; 2 Stylized traders in the literature; 3 What are algorithmic trading models doing?; 4 Why algorithmic trading models are different; 4.1 Are algorithmic trading models informed traders? | |
| 505 | 8 | |a 4.2 Are algorithmic trading models momentum traders?4.3 Are algorithmic trading models noise traders?; 4.4 What are algorithmic trading models after all?; 5 Conclusion; References; Paper 3: Assessing the impact of Algorithmic Trading on markets : A simulation approach ; 1 Introduction; 2 Related work; 2.1 Algorithmic Trading; 2.2 Simulation of financial markets; 3 The simulation model; 3.1 Behavior of Traders; 3.2 Parameterization; 4 Results obtained; 5 Conclusion and Outlook; References; Paper 4: The Behavior of Algorithmic Traders in Equity Markets -- Empirical Evidence from Xetra | |
| 505 | 8 | |a 1 Introduction2 Related Work; 3 The Xetra Trading System; 3.1 Continuous Trading; 3.2 Call Auctions; 3.3 Trading Schedule; 3.4 Dataset and Methodology; 4 Results; 4.1 Continuous Trading; 4.2 Call Auctions; 5 Conclusion; References; Appendix; Deutsche Zusammenfassung / German Summary: Essays onAlgorithmic Trading; Inhaltsverzeichnis; 1 Einführung; 1.1 Motivation und Zielsetzung der Arbeit; 1.2 Aufbau der Arbeit; 2 Forschungskontext: Wertpapierhandel; 2.1 Wertschöpfungskette; 2.2 Die Bedeutung von Algorithmic Trading; 2.2.1 Einsatzzwecke und Nutzer; 2.2.2 Benchmarks und Strategien | |
| 505 | 8 | |a Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropri | |
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| 650 | 7 | |a Technological innovations |2 fast | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Automation |a Program trading (Securities) |a Technological innovations |a Margins (Security trading) | |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Gsell, Markus |
| author_facet | Gsell, Markus |
| author_role | aut |
| author_sort | Gsell, Markus |
| author_variant | m g mg |
| building | Verbundindex |
| bvnumber | BV043958276 |
| collection | ZDB-4-EBA |
| contents | Table of Contents; 1 Introduction; 1.1 Motivation and objective of the thesis; 1.2 Structure of the thesis; 2 Research Context: Securities Trading; 2.1 Value chain; 2.2 The role of Algorithmic Trading; 2.2.1 Purposes and users; 2.2.2 Benchmarks and strategies; 2.2.3 Stages of development; 2.2.4 Implications for market operators; 3 Research Approach and Methodology; 3.1 Quantitative Survey; 3.2 Literature Review; 3.3 Simulation of Financial Markets; 3.4 Empirical Analysis; 4 Main Results; 4.1 Paper 1: Investigating the adoption decision 4.2 Paper 2: Theoretically assessing structural behavioral differences4.3 Paper 3: Assessing the impact on the market outcome by simulation; 4.4 Paper 4: Empirically assessing the impact on trading behavior; 5 Contribution to theory and practical implications; 5.1 Contribution to theory; 5.2 Practical implications; 6 Limitations and potential further research; 6.1 Limitations; 6.2 Future Research; References; Paper 1: Technological Innovationsin Securities Trading:The Adoption of Algorithmic Trading; 1 Introduction; 2 Related work; 3 Methodology; 4 Research Model; 4.1 Usage 4.2 Intention to use4.3 Performance Expectancy; 4.4 Effort Expectancy; 4.5 Task-Technology Fit; 4.6 Technology Expertise; 5 Results; 5.1 Quality criteria of the measurement model; 5.1.1 Reflective constructs; 5.1.2 Formative construct; 5.2 Quality criteria of the structural model; 6 Conclusion; References; Paper 2: Is Algorithmic Trading distinctively different?; 1 Introduction; 2 Stylized traders in the literature; 3 What are algorithmic trading models doing?; 4 Why algorithmic trading models are different; 4.1 Are algorithmic trading models informed traders? 4.2 Are algorithmic trading models momentum traders?4.3 Are algorithmic trading models noise traders?; 4.4 What are algorithmic trading models after all?; 5 Conclusion; References; Paper 3: Assessing the impact of Algorithmic Trading on markets : A simulation approach ; 1 Introduction; 2 Related work; 2.1 Algorithmic Trading; 2.2 Simulation of financial markets; 3 The simulation model; 3.1 Behavior of Traders; 3.2 Parameterization; 4 Results obtained; 5 Conclusion and Outlook; References; Paper 4: The Behavior of Algorithmic Traders in Equity Markets -- Empirical Evidence from Xetra 1 Introduction2 Related Work; 3 The Xetra Trading System; 3.1 Continuous Trading; 3.2 Call Auctions; 3.3 Trading Schedule; 3.4 Dataset and Methodology; 4 Results; 4.1 Continuous Trading; 4.2 Call Auctions; 5 Conclusion; References; Appendix; Deutsche Zusammenfassung / German Summary: Essays onAlgorithmic Trading; Inhaltsverzeichnis; 1 Einführung; 1.1 Motivation und Zielsetzung der Arbeit; 1.2 Aufbau der Arbeit; 2 Forschungskontext: Wertpapierhandel; 2.1 Wertschöpfungskette; 2.2 Die Bedeutung von Algorithmic Trading; 2.2.1 Einsatzzwecke und Nutzer; 2.2.2 Benchmarks und Strategien Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropri |
| ctrlnum | (ZDB-4-EBA)ocn880723462 (OCoLC)880723462 (DE-599)BVBBV043958276 |
| dewey-full | 332.6420285 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 332 - Financial economics |
| dewey-raw | 332.6420285 |
| dewey-search | 332.6420285 |
| dewey-sort | 3332.6420285 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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1 Introduction; 1.1 Motivation and objective of the thesis; 1.2 Structure of the thesis; 2 Research Context: Securities Trading; 2.1 Value chain; 2.2 The role of Algorithmic Trading; 2.2.1 Purposes and users; 2.2.2 Benchmarks and strategies; 2.2.3 Stages of development; 2.2.4 Implications for market operators; 3 Research Approach and Methodology; 3.1 Quantitative Survey; 3.2 Literature Review; 3.3 Simulation of Financial Markets; 3.4 Empirical Analysis; 4 Main Results; 4.1 Paper 1: Investigating the adoption decision</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.2 Paper 2: Theoretically assessing structural behavioral differences4.3 Paper 3: Assessing the impact on the market outcome by simulation; 4.4 Paper 4: Empirically assessing the impact on trading behavior; 5 Contribution to theory and practical implications; 5.1 Contribution to theory; 5.2 Practical implications; 6 Limitations and potential further research; 6.1 Limitations; 6.2 Future Research; 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| indexdate | 2024-07-10T07:39:44Z |
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| isbn | 9783838261140 3838261143 9783838201146 3838201140 |
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| publisher | Ibidem-Verlag |
| record_format | marc |
| spelling | Gsell, Markus Verfasser aut Essays on algorithmic trading Markus Gsell Stuttgart Ibidem-Verlag 2014 1 online resource txt rdacontent c rdamedia cr rdacarrier Table of Contents; 1 Introduction; 1.1 Motivation and objective of the thesis; 1.2 Structure of the thesis; 2 Research Context: Securities Trading; 2.1 Value chain; 2.2 The role of Algorithmic Trading; 2.2.1 Purposes and users; 2.2.2 Benchmarks and strategies; 2.2.3 Stages of development; 2.2.4 Implications for market operators; 3 Research Approach and Methodology; 3.1 Quantitative Survey; 3.2 Literature Review; 3.3 Simulation of Financial Markets; 3.4 Empirical Analysis; 4 Main Results; 4.1 Paper 1: Investigating the adoption decision 4.2 Paper 2: Theoretically assessing structural behavioral differences4.3 Paper 3: Assessing the impact on the market outcome by simulation; 4.4 Paper 4: Empirically assessing the impact on trading behavior; 5 Contribution to theory and practical implications; 5.1 Contribution to theory; 5.2 Practical implications; 6 Limitations and potential further research; 6.1 Limitations; 6.2 Future Research; References; Paper 1: Technological Innovationsin Securities Trading:The Adoption of Algorithmic Trading; 1 Introduction; 2 Related work; 3 Methodology; 4 Research Model; 4.1 Usage 4.2 Intention to use4.3 Performance Expectancy; 4.4 Effort Expectancy; 4.5 Task-Technology Fit; 4.6 Technology Expertise; 5 Results; 5.1 Quality criteria of the measurement model; 5.1.1 Reflective constructs; 5.1.2 Formative construct; 5.2 Quality criteria of the structural model; 6 Conclusion; References; Paper 2: Is Algorithmic Trading distinctively different?; 1 Introduction; 2 Stylized traders in the literature; 3 What are algorithmic trading models doing?; 4 Why algorithmic trading models are different; 4.1 Are algorithmic trading models informed traders? 4.2 Are algorithmic trading models momentum traders?4.3 Are algorithmic trading models noise traders?; 4.4 What are algorithmic trading models after all?; 5 Conclusion; References; Paper 3: Assessing the impact of Algorithmic Trading on markets : A simulation approach ; 1 Introduction; 2 Related work; 2.1 Algorithmic Trading; 2.2 Simulation of financial markets; 3 The simulation model; 3.1 Behavior of Traders; 3.2 Parameterization; 4 Results obtained; 5 Conclusion and Outlook; References; Paper 4: The Behavior of Algorithmic Traders in Equity Markets -- Empirical Evidence from Xetra 1 Introduction2 Related Work; 3 The Xetra Trading System; 3.1 Continuous Trading; 3.2 Call Auctions; 3.3 Trading Schedule; 3.4 Dataset and Methodology; 4 Results; 4.1 Continuous Trading; 4.2 Call Auctions; 5 Conclusion; References; Appendix; Deutsche Zusammenfassung / German Summary: Essays onAlgorithmic Trading; Inhaltsverzeichnis; 1 Einführung; 1.1 Motivation und Zielsetzung der Arbeit; 1.2 Aufbau der Arbeit; 2 Forschungskontext: Wertpapierhandel; 2.1 Wertschöpfungskette; 2.2 Die Bedeutung von Algorithmic Trading; 2.2.1 Einsatzzwecke und Nutzer; 2.2.2 Benchmarks und Strategien Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropri Investments Management Portfolio management BUSINESS & ECONOMICS / Finance bisacsh Automation fast Margins (Security trading) fast Program trading (Securities) fast Technological innovations fast Wirtschaft Automation Program trading (Securities) Technological innovations Margins (Security trading) Wertpapierhandelssystem (DE-588)4510686-1 gnd rswk-swf Automation (DE-588)4003957-2 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Wertpapierhandelssystem (DE-588)4510686-1 s Automation (DE-588)4003957-2 s 2\p DE-604 Erscheint auch als Druck-Ausgabe Gsell, Markus Essays on algorithmic trading 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gsell, Markus Essays on algorithmic trading Table of Contents; 1 Introduction; 1.1 Motivation and objective of the thesis; 1.2 Structure of the thesis; 2 Research Context: Securities Trading; 2.1 Value chain; 2.2 The role of Algorithmic Trading; 2.2.1 Purposes and users; 2.2.2 Benchmarks and strategies; 2.2.3 Stages of development; 2.2.4 Implications for market operators; 3 Research Approach and Methodology; 3.1 Quantitative Survey; 3.2 Literature Review; 3.3 Simulation of Financial Markets; 3.4 Empirical Analysis; 4 Main Results; 4.1 Paper 1: Investigating the adoption decision 4.2 Paper 2: Theoretically assessing structural behavioral differences4.3 Paper 3: Assessing the impact on the market outcome by simulation; 4.4 Paper 4: Empirically assessing the impact on trading behavior; 5 Contribution to theory and practical implications; 5.1 Contribution to theory; 5.2 Practical implications; 6 Limitations and potential further research; 6.1 Limitations; 6.2 Future Research; References; Paper 1: Technological Innovationsin Securities Trading:The Adoption of Algorithmic Trading; 1 Introduction; 2 Related work; 3 Methodology; 4 Research Model; 4.1 Usage 4.2 Intention to use4.3 Performance Expectancy; 4.4 Effort Expectancy; 4.5 Task-Technology Fit; 4.6 Technology Expertise; 5 Results; 5.1 Quality criteria of the measurement model; 5.1.1 Reflective constructs; 5.1.2 Formative construct; 5.2 Quality criteria of the structural model; 6 Conclusion; References; Paper 2: Is Algorithmic Trading distinctively different?; 1 Introduction; 2 Stylized traders in the literature; 3 What are algorithmic trading models doing?; 4 Why algorithmic trading models are different; 4.1 Are algorithmic trading models informed traders? 4.2 Are algorithmic trading models momentum traders?4.3 Are algorithmic trading models noise traders?; 4.4 What are algorithmic trading models after all?; 5 Conclusion; References; Paper 3: Assessing the impact of Algorithmic Trading on markets : A simulation approach ; 1 Introduction; 2 Related work; 2.1 Algorithmic Trading; 2.2 Simulation of financial markets; 3 The simulation model; 3.1 Behavior of Traders; 3.2 Parameterization; 4 Results obtained; 5 Conclusion and Outlook; References; Paper 4: The Behavior of Algorithmic Traders in Equity Markets -- Empirical Evidence from Xetra 1 Introduction2 Related Work; 3 The Xetra Trading System; 3.1 Continuous Trading; 3.2 Call Auctions; 3.3 Trading Schedule; 3.4 Dataset and Methodology; 4 Results; 4.1 Continuous Trading; 4.2 Call Auctions; 5 Conclusion; References; Appendix; Deutsche Zusammenfassung / German Summary: Essays onAlgorithmic Trading; Inhaltsverzeichnis; 1 Einführung; 1.1 Motivation und Zielsetzung der Arbeit; 1.2 Aufbau der Arbeit; 2 Forschungskontext: Wertpapierhandel; 2.1 Wertschöpfungskette; 2.2 Die Bedeutung von Algorithmic Trading; 2.2.1 Einsatzzwecke und Nutzer; 2.2.2 Benchmarks und Strategien Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropri Investments Management Portfolio management BUSINESS & ECONOMICS / Finance bisacsh Automation fast Margins (Security trading) fast Program trading (Securities) fast Technological innovations fast Wirtschaft Automation Program trading (Securities) Technological innovations Margins (Security trading) Wertpapierhandelssystem (DE-588)4510686-1 gnd Automation (DE-588)4003957-2 gnd |
| subject_GND | (DE-588)4510686-1 (DE-588)4003957-2 (DE-588)4113937-9 |
| title | Essays on algorithmic trading |
| title_auth | Essays on algorithmic trading |
| title_exact_search | Essays on algorithmic trading |
| title_full | Essays on algorithmic trading Markus Gsell |
| title_fullStr | Essays on algorithmic trading Markus Gsell |
| title_full_unstemmed | Essays on algorithmic trading Markus Gsell |
| title_short | Essays on algorithmic trading |
| title_sort | essays on algorithmic trading |
| topic | Investments Management Portfolio management BUSINESS & ECONOMICS / Finance bisacsh Automation fast Margins (Security trading) fast Program trading (Securities) fast Technological innovations fast Wirtschaft Automation Program trading (Securities) Technological innovations Margins (Security trading) Wertpapierhandelssystem (DE-588)4510686-1 gnd Automation (DE-588)4003957-2 gnd |
| topic_facet | Investments Management Portfolio management BUSINESS & ECONOMICS / Finance Automation Margins (Security trading) Program trading (Securities) Technological innovations Wirtschaft Automation Program trading (Securities) Technological innovations Margins (Security trading) Wertpapierhandelssystem Hochschulschrift |
| work_keys_str_mv | AT gsellmarkus essaysonalgorithmictrading |