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Data Science for Financial Econometrics

Data Science for Financial Econometrics

210.99 EUR

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Marque : Springer Nature

Marchand : SpringerLink Shop INT

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Productbeschrijving

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.

Product Specifications

SourceFeedType Shopping
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CustomLabel0 Nguyen Ngoc Thach; Vladik Kreinovich; Nguyen Duc Trung
Gtin 9783030488529
Availability in stock
AdvertiserName SpringerLink Shop INT
ProductType
  • Books > Engineering
IsBundle No
Condition New
Adult No
Material Hard cover
CustomLabel2 Springer
ItemListName EN

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