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Handbook of Alternative Data in Finance, Volume I (Hardcover) Loot Price: R4,812
Discovery Miles 48 120
Handbook of Alternative Data in Finance, Volume I (Hardcover): Gautam Mitra, Christina Erlwein-Sayer, Kieu Thi Hoang, Diana...

Handbook of Alternative Data in Finance, Volume I (Hardcover)

Gautam Mitra, Christina Erlwein-Sayer, Kieu Thi Hoang, Diana Roman, Zryan Sadik

Series: CRC Press/OptiRisk Series in Finance

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Loot Price R4,812 Discovery Miles 48 120 | Repayment Terms: R451 pm x 12*

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Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: CRC Press/OptiRisk Series in Finance
Release date: June 2023
First published: 2023
Editors: Gautam Mitra • Christina Erlwein-Sayer • Kieu Thi Hoang • Diana Roman • Zryan Sadik
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 576
ISBN-13: 978-1-03-227648-9
Categories: Books > Business & Economics > Finance & accounting > General
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 1-03-227648-7
Barcode: 9781032276489

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