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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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發(fā)表于 2025-3-21 16:11:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)AI in the Financial Markets
期刊簡(jiǎn)稱(chēng)New Algorithms and S
影響因子2023Federico Cecconi
視頻videohttp://file.papertrans.cn/143/142825/142825.mp4
發(fā)行地址Explains the links between AI and finance through application examples.Shows how technology can make markets safer and more profitable.Links the financial dynamics to the dynamics of the COVID-19 pand
學(xué)科分類(lèi)Computational Social Sciences
圖書(shū)封面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
影響因子.This 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
Pindex Book 2023
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Applied Multivariate Statistics with Rbility not only to deal with big data and information, but especially because it produces, manages and exploits knowledge. Researchers and scientists are starting to explore, from several perspectives, the different and synergetic ways AI will transform heterogenous business models and every segment of all industries.
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發(fā)表于 2025-3-22 06:29:05 | 只看該作者
Deep Learning and Neural Networks Overview,oach to the issue of valuing Non Performing Exposures based on AI algorithms and calculation methods rather than traditional econometrics. The following approach has been studied for the Italian NPE market, as it has unique characteristics in terms of size, legal and technical-real estate aspects.
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Saurabh Gupta,Sushma Dubey,Jaya Singhted increase of digitalization: never before have global citizen of all ages been cornered into using online services and digital tools. We will discuss the implications of this new phenomenon for the financial market, its effect on social inequality, and the scenario of opportunities it entails.
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Springer Tracts in Nature-Inspired Computingrs with an informational advantage in their search for trading signals that yield alpha, or good investment returns that are unrelated to anything else. A strategy may be based purely on freely available data from search engines, which ML systems could then correlate to some financial occurrence.
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Artificial Intelligence and Financial Markets,d Somalia the wars have progressed from bad to worse with the parties to the original conflict now further divided within themselves and fighting each other. In Djibouti, the situation of latent conflict that existed in that country since independence has now broken out into open warfare. In Ethiopi
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