Big Data Investments: Effects of Internet Search Queries on German Stocks

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Title: Big Data Investments: Effects of Internet Search Queries on German Stocks
Description: In recent years, the internet has developed very quickly and became a major source of information all over the planet. Many scientists have used search engine query data to forecast econometric time series like consumer confidence indicators, unemployment rates, retail sales, house price indices, stock prices, volatility of stocks and even commodity prices. Following the prior research this study analyzes the impact of internet search engine data on capital markets. Many authors already have contributed to index level data and most of them on the US market. This study adds to the existing literature on the German stock market. Two research questions are answered: First, whether an increase in search queries drives individual stock returns and second, whether queries affect the implied volatility of stock options. After controlling for seasonality, autocorrelation and general market risk, in the further analysis also the Price-to-Book valuation, one year performance and historical volatility are examined in interaction with internet search queries.
Authors: Jan Becker
Resource Type: eBook.
Subjects: Internet searching, Stocks--Germany
Categories: BUSINESS & ECONOMICS / Finance / General
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1090334
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Big Data Investments: Effects of Internet Search Queries on German Stocks
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In recent years, the internet has developed very quickly and became a major source of information all over the planet. Many scientists have used search engine query data to forecast econometric time series like consumer confidence indicators, unemployment rates, retail sales, house price indices, stock prices, volatility of stocks and even commodity prices. Following the prior research this study analyzes the impact of internet search engine data on capital markets. Many authors already have contributed to index level data and most of them on the US market. This study adds to the existing literature on the German stock market. Two research questions are answered: First, whether an increase in search queries drives individual stock returns and second, whether queries affect the implied volatility of stock options. After controlling for seasonality, autocorrelation and general market risk, in the further analysis also the Price-to-Book valuation, one year performance and historical volatility are examined in interaction with internet search queries.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Jan+Becker%22">Jan Becker</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Internet+searching%22">Internet searching</searchLink><br /><searchLink fieldCode="DE" term="%22Stocks--Germany%22">Stocks--Germany</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 332.64243
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Internet searching
        Type: general
      – SubjectFull: Stocks--Germany
        Type: general
    Titles:
      – TitleFull: Big Data Investments: Effects of Internet Search Queries on German Stocks
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jan Becker
      – PersonEntity:
          Name:
            NameFull: Jan Becker
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 13
              M: 04
              Type: profile
              Y: 2016
          Identifiers:
            – Type: isbn-print
              Value: 9783959345972
            – Type: isbn-electronic
              Value: 9783959340977
          Numbering:
            – Type: volume
              Value: 00007
          Titles:
            – TitleFull: Big Data Investments: Effects of Internet Search Queries on German Stocks
              Type: main
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