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Titlebook: Big Data in Finance; Opportunities and Ch Thomas Walker,Frederick Davis,Tyler Schwartz Book 2022 The Editor(s) (if applicable) and The Auth

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發(fā)表于 2025-3-21 19:03:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data in Finance
期刊簡(jiǎn)稱Opportunities and Ch
影響因子2023Thomas Walker,Frederick Davis,Tyler Schwartz
視頻videohttp://file.papertrans.cn/186/185704/185704.mp4
發(fā)行地址Focuses on advancements made in deep learning and how they can be leveraged with big data.Provides a holistic view of how big data influences the financial sector.Includes practical case studies and c
圖書封面Titlebook: Big Data in Finance; Opportunities and Ch Thomas Walker,Frederick Davis,Tyler Schwartz Book 2022 The Editor(s) (if applicable) and The Auth
影響因子.This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field..
Pindex Book 2022
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Alternative Datasified as alternative data. Using data sources that are not widely available can provide great value; however, collecting, validating, and maintaining datasets is known to be very costly. The situation is changing with recent advances in big data technologies that allow for new data sources to be co
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發(fā)表于 2025-3-22 04:02:07 | 只看該作者
An Algorithmic Trading Strategy to Balance Profitability and Risk(BII), which has been shown to be able to balance risk and profitability accurately. This indicator is crucial for developing an AT strategy that allows algorithmic traders to use big data to analyze portfolios and seek the BII algorithm‘s highest value. The chapter reviews and analyzes current AT s
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Ensemble Models Using Symbolic Regression and Genetic Programming for Uncertainty Estimation in ESG els have been shown empirically to have a strong predictive performance and the ability to extrapolate into regions of unknown parameter space or detect changes in the underlying system. This chapter demonstrates how the same technique for quantifying uncertainty is helpful in risk management workfl
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Bitcoin: Future or Fad?ternative form of investment. Moreover, Bitcoin also exhibits some investment features similar to collectibles. This chapter shows that the true value of Bitcoin lies not in its speculative nature but in its embedded technology, blockchain, which has the potential to revolutionize traditional financ
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發(fā)表于 2025-3-23 02:47:50 | 只看該作者
Culture, Digital Assets, and the Economy: A Trans-National Perspectiveionship between financial institutional development and the use of digital assets. Using four ways to measure the use of digital assets: digital payments, mobile payments, using the internet to pay bills, and online shopping, we find that financial institution development is positively related to ea
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