AIFRM-2021: Artificial Intelligence and Big Data for Financial Risk Management: Intelligent Applications |
Submission link | https://easychair.org/conferences/?conf=aifrm2021 |
"Artificial Intelligence and Big Data for Financial Risk Management: Intelligent Applications"
In the era of the Internet of Things and artificial intelligence (AI), an enormous amount of sensing devices collects and/or generate various sensory data over time for a wide range of fields and applications. Based on the nature of the application, these devices will result in big or fast/real-time data streams. Applying analytics over such data streams to discover new information, predict future insights, and make control decisions is a crucial process that makes AI a worthy paradigm for businesses and risk management improving technology. The analysis and processing of this amount of data, which is available almost immediately, opens a new range of possibilities for both new and old processes.
The financial sector is one of many that can benefit from Big data, especially as it relates to risk management, due to more powerful predictive models, decreased reaction time, and greater effectiveness. Besides, Big Data analysis allows the financial institutions to identify the risks and opportunities of emergent technologies in order to provide efficient and sustainable financial services. Besides, Big Data analysis allows for the creation of more powerful risk prediction models. This, in addition to the ability to access data and analyze it in almost real-time, makes for much faster response times, which helps to prevent problems before they arise or keep damages to a minimum if they have already occurred. Big Data also allows for more extensive risk coverage by providing a global vision and a broader outlook regarding incidents. Another added value of Big Data is the cost savings that risk management brings: more automated processes, more precise predictive systems, and less risk of failure.
This book aims to present a collection of high-quality book chapters on the state-of-the-art in the AI Big Data analysis for financial risk management applications. We are soliciting original contributions that have not been published and are not currently under consideration by any other journals. Both theoretical studies and state-of-the-art practical applications are welcome for submission. All submitted chapters will be peer-reviewed and selected on the basis of both their quality and their relevance to the theme of this book.
This book (AIFRM) introduces the students and aspiring practitioners to the subject of destination marketing in a structured manner. It is primarily intended to researcher students in finance and intelligent big data applications (including intelligent information systems, smart economics and finance applications, and the internet of things in the marketing environment). Academics in higher education institutions including universities and vocational colleges, small business owners, tourism and hospitality consultants, non-profit organizations, policymakers, and legislators.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Risk Management, Asset-liability Management, Banking, insurance, capital market, money laundering, financial innovation, fintech, artificial intelligence, blockchain, high-frequency trading, digitalization, financial regulation, supervisory tools
List of Topics
- Big data application on risk management in financial institutions:
Asset-liability risk management in financial institutions |
The role of big data in banking and financial institutions |
IOT application for Fraud detection and anti-money laundry in the financial sector |
Banking credit management expert applications |
Big data analytics for commercial loans issuance in the insurance sector |
- Intelligent Applications of risk management in financial markets:
Impact of big data on decision making in financial markets |
Big data game application in market trading |
Trading surveillance using intelligent systems |
Machine learning applications for trading strategies |
Forex market uncertainty prediction using intelligent algorithms |
Review and feedback
The submitted book chapters will be reviewed by a minimum of two independent reviewers.
Publication
AIFRM-2021 Book will be published by April 2021 by Routledge, an imprint of Informa UK Limited trading as Taylor and Francis Group.
Routledge is a global publisher of academic books, journals, and online resources in the humanities and social sciences. Founded in 1836, they have published many of the greatest thinkers and scholars of the last hundred years, including Adorno, Einstein, Russell, Popper, Wittgenstein, Jung, Bohm, Hayek, McLuhan, Marcuse, and Sartre.
Today Routledge is the world's leading academic publisher in the Humanities and Social Sciences. We publish thousands of books and journals each year, serving scholars, instructors, and professional communities worldwide. Our current publishing program encompasses groundbreaking textbooks and premier, peer-reviewed research in the Social Sciences, Humanities, Built Environment, Education, and Behavioral Sciences. We have partnered with many of the most influential societies and academic bodies to publish their journals and book series. Readers can access tens of thousands of print and e-books from our extensive catalog of titles.
Taylor and Francis, one of the world's largest publishers, Taylor & Francis maintains offices throughout the world including London, Brighton, and Abingdon in the U.K.; New York, Philadelphia, Florence, Kentucky, and Boca Raton, Florida in the U.S.A.; and Singapore, Australia, China, and India. Publishing more than 1,500 journals and approximately 7,000 new books each year, the Taylor and Francis Group has a backlist in excess of 140,000 specialist titles.
Contact
All questions about submissions should be emailed to nsmetawa@gmail.com