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The value of social media for predicting stock returns [electronic resource] : preconditions, instruments and performance analysis

자료유형

E-Book(소장)

개인저자

Nofer, Michael.

서명 / 저자사항

The value of social media for predicting stock returns [electronic resource] : preconditions, instruments and performance analysis / Michael Nofer.

발행사항

Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2015.

형태사항

1 online resource (xvii, 128 p.) : ill.

ISBN

9783658095086

요약

Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet. Contents Market Anomalies on Two-Sided Auction Platforms Are Crowds on the Internet Wiser than Experts? – The Case of a Stock Prediction Community Using Twitter to Predict the Stock Market: Where is the Mood Effect? The Economic Impact of Privacy Violations and Security Breaches – A Laboratory Experiment Target Groups Scientists and students in the field of IT, finance and business Private investors, institutional investors About the Author Michael Nofer wrote his dissertation at the Chair of Information Systems | Electronic Markets at TU Darmstadt, Germany.

일반주기

Title from e-Book title page.

내용주기

Introduction -- Market Anomalies on Two-Sided Auction Platforms -- Are Crowds on the Internet Wiser than Experts? – The Case of a Stock Prediction Community -- Using Twitter to Predict the Stock Market: Where is the Mood Effect? -- The Economic Impact of Privacy Violations and Security Breaches – A Laboratory Experiment -- Literature.

서지주기

Includes bibliographical references.

이용가능한 다른형태자료

Issued also as a book.

일반주제명

Speculation. Stock price forecasting. Online social networks --Economic aspects. Social media --Economic aspects.

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100	1	▼a Nofer, Michael.
245	1 4	▼a The value of social media for predicting stock returns ▼h [electronic resource] : ▼b preconditions, instruments and performance analysis / ▼c Michael Nofer.
260		▼a Wiesbaden : ▼b Springer Fachmedien Wiesbaden : ▼b Imprint: Springer Vieweg, ▼c 2015.
300		▼a 1 online resource (xvii, 128 p.) : ▼b ill.
500		▼a Title from e-Book title page.
504		▼a Includes bibliographical references.
505	0	▼a Introduction -- Market Anomalies on Two-Sided Auction Platforms -- Are Crowds on the Internet Wiser than Experts? – The Case of a Stock Prediction Community -- Using Twitter to Predict the Stock Market: Where is the Mood Effect? -- The Economic Impact of Privacy Violations and Security Breaches – A Laboratory Experiment -- Literature.
520		▼a Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet. Contents Market Anomalies on Two-Sided Auction Platforms Are Crowds on the Internet Wiser than Experts? – The Case of a Stock Prediction Community Using Twitter to Predict the Stock Market: Where is the Mood Effect? The Economic Impact of Privacy Violations and Security Breaches – A Laboratory Experiment Target Groups Scientists and students in the field of IT, finance and business Private investors, institutional investors About the Author Michael Nofer wrote his dissertation at the Chair of Information Systems \| Electronic Markets at TU Darmstadt, Germany.
530		▼a Issued also as a book.
538		▼a Mode of access: World Wide Web.
650	0	▼a Speculation.
650	0	▼a Stock price forecasting.
650	0	▼a Online social networks ▼x Economic aspects.
650	0	▼a Social media ▼x Economic aspects.
856	4 0	▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-658-09508-6
945		▼a KLPA
991		▼a E-Book(소장)

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No.	소장처	청구기호	등록번호	도서상태	반납예정일	예약	서비스
No. 1	소장처 중앙도서관/e-Book 컬렉션/	청구기호 CR 332.645	등록번호 E14028934	도서상태 대출불가(열람가능)	반납예정일	예약	서비스 M

The value of social media for predicting stock returns [electronic resource] : preconditions, instruments and performance analysis

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