Financial Statistics and Data Analytics /
editors Shuangzhe Liu, Milind Sathye.
- 1 online-resource (232 p.) ix, 220 p. : ix, 220 p. : ill. (some col.) ; 25 cm.
- Journal of risk and financial management .
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.
9783039439751 3039439758 9783039439768 3039439766 9783039439751 (hbk)
2023403007
Financial management -- Data processing
658.150285 / FIN
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.
9783039439751 3039439758 9783039439768 3039439766 9783039439751 (hbk)
2023403007
Financial management -- Data processing
658.150285 / FIN