Advancement in business analytics tools for higher financial performance:
"The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this conte...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
c2023
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this context, there is an unmet demand for combining analytical finance methods with business analytics topics to inform better investment decisions.Advancement in Business Analytics Tools for Higher Financial Performance explores the financial applications of business analytics tools that can help financial managers and investors to better understand financial theory and improve institutional investment practices. This book explores the value extraction process using more accurate financial data via business analytical tools to help investors and portfolio managers develop more modern financial planning processes. Covering topics such as financial markets, investment analysis, and statistical tools, this book is ideal for accountants, data analysts, researchers, students, business professionals, academicians, and more."-- |
| Beschreibung: | 21 PDFs (xvii, 321 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781668483886 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Advancement in business analytics tools for higher financial performance |c Reza Gharoie Ahangar, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c c2023 | |
| 300 | |a 21 PDFs (xvii, 321 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Chapter 1. Process of Machine Learning Methods -- Chapter 2. Management Accountants' Skills and Competencies: How Business Analytics Tools Reshape the Future -- Chapter 3. A Discussion on Non-Convex Optimization Problems Arising in Supply Chain Design and Finance -- Chapter 4. Quality Improvement of Healthcare Services Through Data Analytics Processes -- Chapter 5. Exploring the Potential of ChatGPT in Financial Decision Making -- Chapter 6. Blockchain and Machine Learning Framework for Financial Performance in Pharmaceutical Supply Chains -- Chapter 7. Fixed Point Theory and Insurance Loss Modeling: An Unlikely Pairing -- Chapter 8. The Measuring of Performance and Profitability of Mutual and Profitability Funds Collective Investment Funds in Securities -- Chapter 9. Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide -- Chapter 10. Prediction and Analysis of Financial Crises Using Machine Learning -- Chapter 11. En-Route to Greece: A Market-Capitalized vs. a Government-Run Retirement System - Comparison and Chronological Development -- Chapter 12. Lightweight Deep Learning: Introduction, Advancements, and Applications -- Chapter 13. Impact of Business Analytics Tools in Statistical Arbitrage Models in Trading -- Chapter 14. Maximizing Returns Through Investment Analysis: An Overview of Analytical Tools -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this context, there is an unmet demand for combining analytical finance methods with business analytics topics to inform better investment decisions.Advancement in Business Analytics Tools for Higher Financial Performance explores the financial applications of business analytics tools that can help financial managers and investors to better understand financial theory and improve institutional investment practices. This book explores the value extraction process using more accurate financial data via business analytical tools to help investors and portfolio managers develop more modern financial planning processes. Covering topics such as financial markets, investment analysis, and statistical tools, this book is ideal for accountants, data analysts, researchers, students, business professionals, academicians, and more."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/12/2023). | ||
| 650 | 0 | |a Business enterprises |x Finance |x Technological innovations. | |
| 650 | 0 | |a Corporations |x Finance |x Technological innovations. | |
| 650 | 0 | |a Machine learning |x Economic aspects. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Ahangar, Reza Gharoie, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 1668483866 |z 9781668483862 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-8386-2 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| contents | Preface -- Chapter 1. Process of Machine Learning Methods -- Chapter 2. Management Accountants' Skills and Competencies: How Business Analytics Tools Reshape the Future -- Chapter 3. A Discussion on Non-Convex Optimization Problems Arising in Supply Chain Design and Finance -- Chapter 4. Quality Improvement of Healthcare Services Through Data Analytics Processes -- Chapter 5. Exploring the Potential of ChatGPT in Financial Decision Making -- Chapter 6. Blockchain and Machine Learning Framework for Financial Performance in Pharmaceutical Supply Chains -- Chapter 7. Fixed Point Theory and Insurance Loss Modeling: An Unlikely Pairing -- Chapter 8. The Measuring of Performance and Profitability of Mutual and Profitability Funds Collective Investment Funds in Securities -- Chapter 9. Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide -- Chapter 10. Prediction and Analysis of Financial Crises Using Machine Learning -- Chapter 11. En-Route to Greece: A Market-Capitalized vs. a Government-Run Retirement System - Comparison and Chronological Development -- Chapter 12. Lightweight Deep Learning: Introduction, Advancements, and Applications -- Chapter 13. Impact of Business Analytics Tools in Statistical Arbitrage Models in Trading -- Chapter 14. Maximizing Returns Through Investment Analysis: An Overview of Analytical Tools -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00004855 (OCoLC)1393443373 |
| dewey-full | 658.421 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00313440 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:59Z |
| institution | BVB |
| isbn | 9781668483886 |
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| publisher | IGI Global, |
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| spelling | Advancement in business analytics tools for higher financial performance Reza Gharoie Ahangar, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, c2023 21 PDFs (xvii, 321 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Preface -- Chapter 1. Process of Machine Learning Methods -- Chapter 2. Management Accountants' Skills and Competencies: How Business Analytics Tools Reshape the Future -- Chapter 3. A Discussion on Non-Convex Optimization Problems Arising in Supply Chain Design and Finance -- Chapter 4. Quality Improvement of Healthcare Services Through Data Analytics Processes -- Chapter 5. Exploring the Potential of ChatGPT in Financial Decision Making -- Chapter 6. Blockchain and Machine Learning Framework for Financial Performance in Pharmaceutical Supply Chains -- Chapter 7. Fixed Point Theory and Insurance Loss Modeling: An Unlikely Pairing -- Chapter 8. The Measuring of Performance and Profitability of Mutual and Profitability Funds Collective Investment Funds in Securities -- Chapter 9. Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide -- Chapter 10. Prediction and Analysis of Financial Crises Using Machine Learning -- Chapter 11. En-Route to Greece: A Market-Capitalized vs. a Government-Run Retirement System - Comparison and Chronological Development -- Chapter 12. Lightweight Deep Learning: Introduction, Advancements, and Applications -- Chapter 13. Impact of Business Analytics Tools in Statistical Arbitrage Models in Trading -- Chapter 14. Maximizing Returns Through Investment Analysis: An Overview of Analytical Tools -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this context, there is an unmet demand for combining analytical finance methods with business analytics topics to inform better investment decisions.Advancement in Business Analytics Tools for Higher Financial Performance explores the financial applications of business analytics tools that can help financial managers and investors to better understand financial theory and improve institutional investment practices. This book explores the value extraction process using more accurate financial data via business analytical tools to help investors and portfolio managers develop more modern financial planning processes. Covering topics such as financial markets, investment analysis, and statistical tools, this book is ideal for accountants, data analysts, researchers, students, business professionals, academicians, and more."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/12/2023). Business enterprises Finance Technological innovations. Corporations Finance Technological innovations. Machine learning Economic aspects. Electronic books. Ahangar, Reza Gharoie, editor. IGI Global, publisher. Print version: 1668483866 9781668483862 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-8386-2 Volltext |
| spellingShingle | Advancement in business analytics tools for higher financial performance Preface -- Chapter 1. Process of Machine Learning Methods -- Chapter 2. Management Accountants' Skills and Competencies: How Business Analytics Tools Reshape the Future -- Chapter 3. A Discussion on Non-Convex Optimization Problems Arising in Supply Chain Design and Finance -- Chapter 4. Quality Improvement of Healthcare Services Through Data Analytics Processes -- Chapter 5. Exploring the Potential of ChatGPT in Financial Decision Making -- Chapter 6. Blockchain and Machine Learning Framework for Financial Performance in Pharmaceutical Supply Chains -- Chapter 7. Fixed Point Theory and Insurance Loss Modeling: An Unlikely Pairing -- Chapter 8. The Measuring of Performance and Profitability of Mutual and Profitability Funds Collective Investment Funds in Securities -- Chapter 9. Predicting Company Bankruptcy Using Machine Learning Techniques: A Step-by-Step Guide -- Chapter 10. Prediction and Analysis of Financial Crises Using Machine Learning -- Chapter 11. En-Route to Greece: A Market-Capitalized vs. a Government-Run Retirement System - Comparison and Chronological Development -- Chapter 12. Lightweight Deep Learning: Introduction, Advancements, and Applications -- Chapter 13. Impact of Business Analytics Tools in Statistical Arbitrage Models in Trading -- Chapter 14. Maximizing Returns Through Investment Analysis: An Overview of Analytical Tools -- Compilation of References -- About the Contributors -- Index. Business enterprises Finance Technological innovations. Corporations Finance Technological innovations. Machine learning Economic aspects. |
| title | Advancement in business analytics tools for higher financial performance |
| title_auth | Advancement in business analytics tools for higher financial performance |
| title_exact_search | Advancement in business analytics tools for higher financial performance |
| title_full | Advancement in business analytics tools for higher financial performance Reza Gharoie Ahangar, editor. |
| title_fullStr | Advancement in business analytics tools for higher financial performance Reza Gharoie Ahangar, editor. |
| title_full_unstemmed | Advancement in business analytics tools for higher financial performance Reza Gharoie Ahangar, editor. |
| title_short | Advancement in business analytics tools for higher financial performance |
| title_sort | advancement in business analytics tools for higher financial performance |
| topic | Business enterprises Finance Technological innovations. Corporations Finance Technological innovations. Machine learning Economic aspects. |
| topic_facet | Business enterprises Finance Technological innovations. Corporations Finance Technological innovations. Machine learning Economic aspects. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-8386-2 |
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