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Year of publication
Subject
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search engine data 6 forecasting 4 investor behavior 4 noise trader 4 realized volatility 4 Estimation 2 Schätzung 2 Search engine 2 Suchmaschine 2 Aktienmarkt 1 Anlageverhalten 1 Behavioural finance 1 Börsenkurs 1 Demand 1 Dynamic factor model 1 Factor analysis 1 Faktorenanalyse 1 Forecasting model 1 Handelsvolumen der Börse 1 Hotel industry 1 Hotellerie 1 Nachfrage 1 Prognoseverfahren 1 Share price 1 Stock market 1 Theorie 1 Theory 1 Time series analysis 1 Trading volume 1 VAR model 1 VAR-Modell 1 Volatility 1 Volatilität 1 Zeitreihenanalyse 1 forecast combinations 1 hotel demand 1 hybrid MIDAS approach 1 mixed-frequency data 1 realised volatility 1 structural VAR 1
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Online availability
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Free 6
Type of publication
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Book / Working Paper 4 Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2
Language
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English 6
Author
All
Dimpfl, Thomas 4 Jank, Stephan 4 Herwartz, Helmut 1 Law, Rob 1 Li, Nao 1 Liu, Heng 1 Xu, Fang 1 Zhang, Binru 1
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Institution
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Institut für Finanzmarktforschung, Wirtschafts- und Sozialwissenschaftliche Fakultät 1 Wirtschaftswissenschaftlichen Fakultät, Eberhard-Karls-Universität Tübingen 1
Published in...
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CFR Working Papers 1 CFR working paper 1 European financial management : the journal of the European Financial Management Association 1 Tourism economics : the business and finance of tourism and recreation 1 University of Tuebingen Working Papers in Economics and Finance 1 University of Tübingen Working Papers in Economics and Finance 1
Source
All
ECONIS (ZBW) 2 EconStor 2 RePEc 2
Showing 1 - 6 of 6
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Structural transmissions among investor attention, stock market volatility and trading volumes
Herwartz, Helmut; Xu, Fang - In: European financial management : the journal of the … 28 (2022) 1, pp. 260-279
Persistent link: https://www.econbiz.de/10012795709
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A hybrid MIDAS approach for forecasting hotel demand using large panels of search data
Zhang, Binru; Li, Nao; Law, Rob; Liu, Heng - In: Tourism economics : the business and finance of tourism … 28 (2022) 7, pp. 1823-1847
Persistent link: https://www.econbiz.de/10013473794
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Cover Image
Can Internet search queries help to predict stock market volatility?
Dimpfl, Thomas; Jank, Stephan - 2011
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search queries. We find a strong co-movement of stock market indices' realized volatility and the search queries for their names. Furthermore, Granger causality is bi-directional: high...
Persistent link: https://www.econbiz.de/10010307349
Saved in:
Cover Image
Can internet search queries help to predict stock market volatility?
Dimpfl, Thomas; Jank, Stephan - 2011
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search queries. We find a strong co-movement of stock market indices' realized volatility and the search queries for their names. Furthermore, Granger causality is bi-directional: high...
Persistent link: https://www.econbiz.de/10010307351
Saved in:
Cover Image
Can Internet search queries help to predict stock market volatility?
Dimpfl, Thomas; Jank, Stephan - Wirtschaftswissenschaftlichen Fakultät, … - 2011
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search queries. We find a strong co-movement of stock market indices' realized volatility and the search queries for their names. Furthermore, Granger causality is bi-directional: high...
Persistent link: https://www.econbiz.de/10009372140
Saved in:
Cover Image
Can internet search queries help to predict stock market volatility?
Dimpfl, Thomas; Jank, Stephan - Institut für Finanzmarktforschung, Wirtschafts- und … - 2011
This paper studies the dynamics of stock market volatility and retail investor attention measured by internet search queries. We find a strong co-movement of stock market indices' realized volatility and the search queries for their names. Furthermore, Granger causality is bi-directional: high...
Persistent link: https://www.econbiz.de/10009372298
Saved in:
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