Titlebook: AI in the Financial Markets; New Algorithms and S Federico Cecconi Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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Saurabh Gupta,Sushma Dubey,Jaya Singh financial consequences. We will review several aspects of the recent pandemic crisis and critically compare them to extant findings on the effects of financial breaks, fear, and turbulences (global financial crises, terrorism, and previous pandemics) on financial markets. With the increase of uncer

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forthy

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Topic Modeling and Word Embeddings,ers, as described in standard economic models, in financial markets. Boom and bust cycles are widespread, as are firm values based purely on the flashy personalities of CEOs, reckless speculators, and a general sense of irrationality. Clearly, this is not enough to condemn old economic theories as “

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Springer Tracts in Nature-Inspired Computingeven if there were technological constraints to the use of machine learning, the lack of data to feed the algorithms constituted an additional obstacle. Furthermore, if acquiring precise and meaningful data results in too high a cost, it may be more cost-effective to acquire data that is not directl

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Deep Learning and Neural Networks Overview,gnment operations. The issue of credit enhancement therefore acquires a central role in the credit purchase process. In this study we describe an approach to the issue of valuing Non Performing Exposures based on AI algorithms and calculation methods rather than traditional econometrics. The followi