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The Palgrave Handbook of FinTech and Blockchain

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  • Дата: 2-06-2021, 17:11
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The Palgrave Handbook of FinTech and BlockchainНазвание: The Palgrave Handbook of FinTech and Blockchain
Автор: Maurizio Pompella, Roman Matousek
Издательство: Palgrave Macmillan, Springer
Год: 2021
Страниц: 540
Язык: английский
Формат: pdf (true), epub
Размер: 22.3 MB

Financial services technology and its effect on the field of finance and banking has been of major importance within the last few years. The spread of these so-called disruptive technologies, including Blockchain, has radically changed financial markets and transformed the operation of the industry as a whole. This is the first multidisciplinary handbook of FinTech and Blockchain covering finance, economics, and legal aspects globally. With comprehensive coverage of the current landscape of financial technology alongside a forward-looking approach, the chapters are devoted to the spread of structured finance, ICT, distributed ledger technology (DLT), cybersecurity, data protection, artificial intelligence, and cryptocurrencies.

Given an unprecedented 2020, the contributions also address the consequences of the current emergency, which is revolutionizing social and economic paradigms and heavily affecting Fintech, Blockchain, and the banking sector as well, and would be of particular interest to finance academics and researchers alongside banking and financial services professionals.

Big data is generally characterized by high volume, velocity, and variety; hence, they often require specific technology and analytical tools, e.g., Machine Learning and Natural Language Processing, for transformation into value. The recent advances in data storage, cloud computing, and statistical tools have gradually reduced costs of gathering data, spurring numerous third-party data aggregators and collectors. This gives rise to alternative data that are not from standard statements or reports, or are unstructured in terms of format. While alternative data have been actively explored in computer science and engineering fields (e.g., voice recognition and machine translation), researchers in finance and business economics have only started to devote attention to them in the past decade.

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