Electronic Resource

Data Science for Financial Econometrics

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000518	EB0001056	620.002 85 Dat	Central Library (OPAC)	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

620.002 85 Dat

Publisher

Switzerland : Springer Cham., 2020

Collation

X, 633p.:Ill

Language

English

ISBN/ISSN

978-3-030-48853-6

Classification

620.002 85

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

-

Subject(s)

Econometrics

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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