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Название: FinTech As a Disruptive Technology for Financial Institutions
Автор: Abdul Rafay
Издательство: IGI Global
Год: 2019
Страниц: 322
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Financial Technology (FinTech) is defined as production of services which combine financial services and technology. In other words, computer program and any other technology which is used to provide and enable financial services is named as FinTech. During the last few years, FinTech advances at an incredible rate all around the globe. Its continuous growth has seen the development of FinTech technologies in multiple areas, such as mobile networks, Big Data, trust management, mobile embedded systems, cloud computing, image processing, data analytic techniques, Machine Learning (ML), Artificial Intelligence (AI), peer to peer lending, robotic investment advisers, blockchain technology, prophetical activity analytics, data-driven selling, crowd funding, digital currencies, ePayments.

Artificial intelligence in FinTech is now playing an important role in differentiating financial services products by replacing both simple and complex human activities. As a result FinTech has dramatically changed the way of banking and financial services.

Financial institutions are tasked with keeping businesses of all sizes financially sounds while also providing accessible banking options to everyday individuals. Fintech, or financial technology, is an emerging disruptive technology in financial transaction that will change banking behavior for stakeholders and enable better traceability of funds against specific assets.

Stock markets and relevant entities generate enormous amounts of data on a daily basis and are accessible from various channels such as stock exchange, economic reviews, and employer monetary reports. In recent times, machine learning techniques have proven to be very helpful in making better trading decisions. Machine learning algorithms use complex logic to observe and learn the behavior of stocks using historical data which can be used to predict future movements of the stock. Technical indicators such as rolling mean, momentum, and exponential moving average are calculated to convert the data into meaningful information. Furthermore, this information can be used to build machine learning prediction models that learn different patterns in the data and make future predictions for accurate financial
forecasting.

FinTech as a Disruptive Technology for Financial Institutions is an essential reference source that discusses applications of FinTech in financial institutions in small, medium, and large businesses and through cultural and religious filters. Featuring research on topics such as Machine Learning, market development, crypto-currency, financial security, blockchain, and financial technology, this book is ideally designed for bankers, business managers, economists, computer scientists, academicians, researchers, financial professionals, and students.

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