- 1、本文档共19页,可阅读全部内容。
- 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
- 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载。
- 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
High Frequency Trading
David Schmoeller, Ann Genova, Alta Sharkhuu
High-frequency trading (HFT) can be defined simply as trading securities in the financial markets multiple times at high speed in a fraction of a second. Beyond this simple definition, little consensus exists on what this “quantitative event-driven trading” is and is not. It has been around since at least the late 1990s but attracted a great deal of public attention in 2009 when Goldman Sachs announced high earnings while the rest of the U.S. experienced economic hardship. Many people also blamed the volatility of the financial markets between 2008 and 2010 on HFT. In this paper, we look at the computer hardware and software behind this unique information system and why it is a controversial topic in the financial community. We argue that high-frequency trading certainly has the potential to provide a significant advantage in stock trading and contribute to market volatility but that the evidence of it actually doing so is inconclusive.
This style of trading is considered distinct from trading on exchange floors and day trading online in several ways. First, it is a relatively bare-bones operation. Unlike other forms of trading, high-frequency firms tend to hold few securities at the close of trading each day and rarely use borrowed money. There are numerous stories about how these firms started in a small space with central processing units stacked, exposed cables running along the walls and floors, and multiple monitors tuned to different markets. The founders of Getco, for example, started with a small office crammed with hot computers in the Chicago Mercantile Exchange. These are the offices of computer scientists and mathematicians, not just financial traders. These traders use sophisticated computer programs, algorithms, and high-speed networks to buy or sell securities. The use of computers has hastened transactions into milliseconds, microseconds, and nanoseconds, which ordinary human trad
您可能关注的文档
- 互联网金融资产交易平台商业计划书.pptx
- 新建节能电热采暖远红外地砖.doc
- 第3章_光学谐振腔理论.doc
- 机械装配实训实习总结(范文).doc
- 液晶 汉字显示 proteus仿真.doc
- 通信系统文献综述.doc
- 钢筋工试题库(含答案).doc
- 大学生诚信征文2000字.docx
- 2013年6月国际商务俄语等级考试(中级)试卷及答案.doc
- 几种常见边缘算子比较及其程序实现.doc
- 甘肃省酒泉市金塔县等4地2024-2025学年高一上学期11月期中考试数学试题【含解析】.pdf
- 浙江省宁波市余姚中学2024-2025学年度高二上学期10月月考数学试题【含解析】.docx
- 河南省商开大联考2022-2023学年高一上学期期中考试数学试卷【含解析】.pdf
- 重庆市开州中学2024-2025学年高二上学期第一次月考数学试题【含解析】.docx
- 云南省昆明仁泽中学2024-2025学年度高二上学期10月月考数学试卷【含解析】.docx
- 《环境文本数据加工处理技术规范》.pdf
- 《区域大气环境承载力监测预警技术规范》.pdf
- 《环境空气温室气体光声光谱法连续自动监测仪技术要求及检测方法》.pdf
- 《美丽城市建设数据分级分类规范》.pdf
- 《大数据优化区域空气质量模拟排放输入数据技术规范》.pdf
文档评论(0)