Big data in capital markets

A. Nazaruk, M. Rauchman
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引用次数: 19

Abstract

Over the past decade global securities markets have dramatically changed. Evolution of market structure in combination with advances in computer technologies led to emergence of electronic securities trading. Securities transactions that used to be conducted in person and over the phone are now predominantly executed by automated trading systems. This resulted in significant fragmentation of the markets, vast increase in the exchange volumes and even greater increase in the number of orders. In this talk we present and analyze forces behind the wide proliferation of electronic securities trading in US stocks and options markets. We also make a high-level introduction into electronic securities market structure. We discuss trading objectives of different classes of market participants and analyze how their activity affects data volumes. We also present typical securities trading firm data flow and analyze various types of data it uses in its trading operations. We close with the implications this "sea change" has on DBMS requirements in capital markets.
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资本市场的大数据
过去十年,全球证券市场发生了巨大变化。市场结构的演变和计算机技术的进步导致了电子证券交易的出现。过去亲自或通过电话进行的证券交易现在主要由自动交易系统执行。这导致了市场的严重分裂,交易量大幅增加,订单数量甚至更多。在这次演讲中,我们将介绍并分析美国股票和期权市场中电子证券交易广泛扩散背后的力量。本文还对电子证券市场的结构作了高层次的介绍。我们讨论了不同类别的市场参与者的交易目标,并分析了他们的活动如何影响数据量。本文还介绍了典型的证券交易公司的数据流程,并分析了其在交易操作中使用的各种类型的数据。最后,我们讨论了这种“翻天覆地的变化”对资本市场DBMS需求的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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