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商品編號： HK1109 出版日期： 2017/07/07 作者姓名： Zheng, Yanfeng 商品類別： General management 商品規格： 27p 再版日期： 地域： United States 產業： Hedge funds 個案年度： -
商品敘述：
The case describes how Quantopian, a Python-based trading-algorithm development and backtesting platform, leverages its community of quantitative traders (""quants"") to develop a novel crowdsourced hedge-fund model. The case provides an overview of the existing hedge-fund industry and illustrates a few potential issues to be addressed by startups. The case also introduces crowdsourcing as a novel business model and its applications in the emerging financial-technology (""Fintech"") field. The instructor can connect the case to the fundamental design of organizations based on contractual arrangements and how exactly a crowdsourcing model challenges conventional wisdom about organizing business activities. The instructor can also stimulate a discussion on alternative growth models or strategies for Fintech startups, such as Quantopian, and practical solutions to challenges.
涵蓋領域：
Business models;Crowdsourcing;Finance;Growth strategy;Hedge funds
相關資料：
Case Teaching Note, (HK1110), 11p, by Yanfeng Zheng
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