Data Science for Financial Econometrics is popular PDF and ePub book, written by Nguyen Ngoc Thach in 2020-11-13, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Science for Financial Econometrics can be Read Online from any device for your convenience.
Data Science for Financial Econometrics Book PDF Summary
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.
Detail Book of Data Science for Financial Econometrics PDF
- Author : Nguyen Ngoc Thach
- Release : 13 November 2020
- Publisher : Springer Nature
- ISBN : 9783030488536
- Genre : Computers
- Total Page : 633 pages
- Language : English
- PDF File Size : 11,5 Mb
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