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Data Analytics Applications in Emerging Markets / edited by José Antonio Núñez Mora, M. Beatriz Mota Aragón

1st ed. 2022.
出版者 (Singapore : Springer Nature Singapore : Imprint: Springer)
出版年 2022
本文言語 英語
大きさ XI, 202 p. 61 illus., 29 illus. in color : online resource
著者標目 Mora, José Antonio Núñez editor
Aragón, M. Beatriz Mota editor
SpringerLink (Online service)
件 名 LCSH:International economic integration
LCSH:Globalization
LCSH:Quantitative research
LCSH:Financial engineering
FREE:Emerging Markets and Globalization
FREE:Data Analysis and Big Data
FREE:Financial Technology and Innovation
一般注記 Introduction -- Chapter 1. Financial Technologies in the Emerging Markets -- Chapter 2. Financial System: Challenges and Opportunities of digital Transformation in Mexico -- Chapter 3. Machine Learning Models, Risk Management Current Regulation and Perspectives -- Chapter 4. Financial Emerging Markets Revisited -- Chapter 5. Disruptive Monetary Phenomenon, Challenges and Complexities (Cryptocurrencies) -- Chapter 6. Pension Funds in Emerging Markets: A projection of Mexican Pension Assets -- Chapter 7. Relationship between Economic Growth and Oil Production in Emerging Countries for the period 2020-2050 -- Chapter 8. Hedging and Optimization of Energy Asset Portfolios -- Chapter 9. Artificial Intelligence and its Application in the Study of the Legal Complexity of the Value Added Tax Act in Mexico
This book analyzes the impact of technology in emerging markets by considering conditions and the history of how it has changed the way of working and market development in such contexts. The book delves into key areas such as fintech enterprises, artificial intelligence, pension funds, stock markets, and energy markets though applied studies and research. This book is a useful read for practitioners and scholars interested in how technology has and continues to change the way in which development is defined and achieved, particularly in emerging markets.
HTTP:URL=https://doi.org/10.1007/978-981-19-4695-0
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Springer eBooks 9789811946950
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EB00227367

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データ種別 電子ブック
分 類 LCC:HF1365
LCC:HF1418.5
DC23:337
DC23:303.482
書誌ID 4001108566
ISBN 9789811946950

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