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Titlebook: Advanced Studies of Financial Technologies and Cryptocurrency Markets; Luká? Pichl,Cheoljun Eom,Taisei Kaizoji Book 2020 Springer Nature S

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發(fā)表于 2025-3-21 18:30:18 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Studies of Financial Technologies and Cryptocurrency Markets
影響因子2023Luká? Pichl,Cheoljun Eom,Taisei Kaizoji
視頻videohttp://file.papertrans.cn/147/146253/146253.mp4
發(fā)行地址Illustrates how studies on cryptocurrencies are becoming influential in the literature on finance.Presents insights into cryptocurrency markets to help readers gain an understanding of the future of f
圖書封面Titlebook: Advanced Studies of Financial Technologies and Cryptocurrency Markets; Luká? Pichl,Cheoljun Eom,Taisei Kaizoji Book 2020 Springer Nature S
影響因子.This book shows that research contributions from different fields—finance, economics, computer sciences, and physics—can provide useful insights into key issues in financial and cryptocurrency markets. Presenting the latest empirical and theoretical advances, it helps readers gain a better understanding of financial markets and cryptocurrencies.. ?. Bitcoin was the first cryptocurrency to use a peer-to-peer network to prevent double-spending and to control its issue without the need for a central authority, and it has attracted wide public attention since its introduction. In recent years, the academic community has also started gaining interest in cyptocurrencies, and research in the field has grown rapidly. This book presents is a collection of the latest work on cryptocurrency markets and the properties of those markets.. . This book will appeal to graduate students and researchers from disciplines such as finance, economics, financial engineering, computer science, physics and applied mathematics working in the field of financial markets, including cryptocurrency markets..
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書目名稱Advanced Studies of Financial Technologies and Cryptocurrency Markets影響因子(影響力)




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Municipal Solid Waste — A Raw Materialgnored, and a diversification or risk measure is optimized in portfolio construction. This approach has been criticized for lacking a clearly defined objective like the trade-off between returns and risk in the Markowitz’s Mean-variance set up. Optimizing risk/diversification alone is a single objec
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Biomass—The Agricultural Perspectiveture the statistical characteristics of the data due to high noise level and volatile features. On the other hand, technological innovation by artificial intelligence is progressing rapidly in various fields. Especially, long short-term memory (LSTM) has been widely used in natural language processi
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https://doi.org/10.1007/978-981-15-0410-5and also how the transactions are related to the price in the exchange market indirectly. We employ the data of blockchain in the Bitcoin from 2013 to 2018 (compiled by a Hungary research group), utilize a simple algorithm to partially identify anonymous users from addresses, and construct snapshots
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Waseem Shahri,Inayatullah Tahir,Burhan Ahadmong major crypto assets, such as Ethereum, and Ripple. Here, we apply a method proposed by Nan and Kaizoji (Int Rev Fin Anal 64:273–281, .), which calculates an indirect exchange rate to consider the possibility of a cointegrating relationship between a crypto-asset exchange rate and a direct FX sp
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