Financial Statistics and Data Analytics /
by Sathye, Milind [editor.]; Shuangzhe Liu [editor.].
Material type:
BookSeries: Journal of risk and financial management.Publisher: Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute, 2020.Description: 1 online-resource (232 p.) ix, 220 p; ix, 220 p. : ill. (some col.) ; 25 cm.ISBN: 9783039439751; 3039439758; 9783039439768; 3039439766; 9783039439751 (hbk).Subject(s): Financial management -- Data processingOnline resources: kostenfrei Summary: Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.
| Item type | Current location | Collection | Call number | Copy number | Status | Notes | Date due | Barcode |
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Books
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Dhaka University Library General Stacks | Non Fiction | 658.150285 FIN (Browse shelf) | 1 | Available | Banking & Insurance | 530871 | |
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Books
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Dhaka University Library General Stacks | Non Fiction | 658.150285 FIN (Browse shelf) | 2 | Available | Banking & Insurance | 530872 |
Includes bibliographical references
Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.
English.
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