000			03277nam a2200373Ia 4500
000			04094nam a22004095i 4500
001			978-3-031-26518-1
003			DE-He213
005			20240319120849.0
007			cr nn 008mamaa
008			230324s2023 sz | s |||| 0|eng d
020			_a9783031265181 _9978-3-031-26518-1
082			_a6.3
245			_aAI in the Financial Markets _cedited by Federico Cecconi. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer International Publishing _c2023
300			_aIX, 135 p. 16 illus., 11 illus. in color. _bonline resource.
520			_aThis book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds). The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres.
650			_aAgent-based Economics. _930935
650			_aArtificial intelligence. _930936
650			_aArtificial Intelligence. _930937
650			_aCapital market. _930938
650			_aCapital Markets. _930939
650			_aFinancial engineering. _930940
650			_aFinancial Technology and Innovation. _930941
650			_aMachine learning. _930942
650			_aMachine Learning. _930943
650			_aNatural language processing (Computer science). _930944
650			_aNatural Language Processing (NLP). _930945
650			_aSchools of economics. _930946
700			_aCecconi, Federico. _930947
856			_uhttps://doi.org/10.1007/978-3-031-26518-1
942			_cEBK _2ddc
999			_c15172 _d15172