BOOK DOWNLOAD

Data Science for Financial Econometrics

20.00$
Data Science for Financial Econometrics
BOOK DOWNLOAD

Data Science for Financial Econometrics

20.00$

(Studies in Computational Intelligence, 898) 1st ed. 2021 Edition 

by Nguyen Ngoc Thach (Editor), Vladik Kreinovich (Editor), Nguyen Duc Trung (Editor) 

This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models – based on researchers’ insights – can no longer keep pace with the ever-increasing data flow. To catch up, many application areas have begun relying on data science, i.e., on techniques for extracting models from data, such as data mining, machine learning, and innovative statistics. In terms of capitalizing on data science, many application areas are way ahead of economics. To close this gap, the book provides examples of how data science techniques can be used in economics. Corresponding techniques range from almost traditional statistics to promising novel ideas such as quantum econometrics. Given its scope, the book will appeal to students and researchers interested in state-of-the-art developments, and to practitioners interested in using data science techniques.

Year:
2021
Pages:
622
Language:
English
Format:
PDF
Size:
13 MB
Publisher:
Springer
ISBN-10:
3030488527
ISBN-13:
978-3030488529
ASIN:
B08NFX489Y
Tag:
Download Book Data Science for Financial Econometrics