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Mathematical Research for Blockchain Economy : 2nd International Conference MARBLE 2020, Vilamoura, Portugal / edited by Panos Pardalos, Ilias Kotsireas, Yike Guo, William Knottenbelt
(Springer Proceedings in Business and Economics. ISSN:21987254)

Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2020
Edition 1st ed. 2020.
Authors Pardalos, Panos editor
Kotsireas, Ilias editor
Guo, Yike editor
Knottenbelt, William editor
SpringerLink (Online service)

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OB00174853 Springer Economics and Finance eBooks (電子ブック) 9783030533564

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Material Type E-Book
Media type 機械可読データファイル
Size VII, 177 p. 70 illus., 66 illus. in color : online resource
Notes Smart Contract Derivatives -- Bitcoin Crypto–Bounties for Quantum Capable Adversaries -- An Econophysical Analysis of the Blockchain Ecosystem -- Stress Testing Diversified Portfolios: The Case of the CoinShares Gold and Cryptoassets Index -- Selfish Mining in Ethereum -- The Speculative (In)Efficiency of the CME Bitcoin Futures Market -- Carbon Trading with Blockchain -- Economic Games as Estimators -- Promise: Leveraging Future Gains for Collateral Reduction -- Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price
This book presents the best papers from the 2nd International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2020, held in Vilamoura, Portugal. While most blockchain conferences and forums are dedicated to business applications, product development or Initial Coin Offering (ICO) launches, this conference focused on the mathematics behind blockchain to bridge the gap between practice and theory. Blockchain Technology has been considered as the most fundamental and revolutionising invention since the Internet. Every year, thousands of blockchain projects are launched and circulated in the market, and there is a tremendous wealth of blockchain applications, from finance to healthcare, education, media, logistics and more. However, due to theoretical and technical barriers, most of these applications are impractical for use in a real-world business context. The papers in this book reveal the challenges and limitations, such as scalability, latency, privacy and security, and showcase solutions and developments to overcome them
HTTP:URL=https://doi.org/10.1007/978-3-030-53356-4
Subjects LCSH:Financial services industry
LCSH:Mathematical optimization
LCSH:Econometrics
LCSH:Computer science—Mathematics
LCSH:Business enterprises—Finance
FREE:Financial Services
FREE:Optimization
FREE:Quantitative Economics
FREE:Mathematical Applications in Computer Science
FREE:Corporate Finance
Classification LCC:HG1501-3550
DC23:332.17
ID 8000068898
ISBN 9783030533564

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