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Finance / Financial markets / Mathematical finance / High-frequency trading / New York Stock Exchange / Day trading / Insider trading / Futures contract / Dow Jones Industrial Average / Stock market / Financial economics / Investment


A PIN per Day Shows What News Convey – The Intraday Probability of Informed Trading Thomas Pöppe*,a, Dirk Schierecka, Ingo Wiegandb, Michael Aitkenc a b
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Document Date: 2014-05-05 00:47:13

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File Size: 1,81 MB

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City

Darmstadt / /

Company

Literature Review / the New York Times / JP Morgan / Wall Street Journal / Capital Markets CRC Ltd. / AMEX / Enron / /

Country

Germany / United States / Australia / /

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Facility

Stanford University / /

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IndustryTerm

classification algorithm / information processing / mathematical tool / crude oil future / /

MarketIndex

S&P 500 / DAX 30 / Dow 30 / /

Organization

Technische Universität Darmstadt / Graduate School / Stanford University / /

Person

Michael Aitkenc / Ingo Wiegandb / Vega / Dirk Schierecka / Thomas Pöppe / Dirk Schiereck / Michael Aitken / /

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Position

director / analyst / Event Study *Corresponding Author / /

PublishedMedium

the Wall Street Journal / the New York Times / /

RadioStation

XETRA / /

SportsLeague

Stanford University / /

Technology

classification algorithm / /

SocialTag