Modeling Movements in Oil, Gold, Forex and Market Indices using Search Volume Index and Twitter Sentiments
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Huina Mao & Scott Counts & Johan Bollen, 2011. "Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data," Papers 1112.1051, arXiv.org.
- Daniel Kahneman & Amos Tversky, 2013.
"Prospect Theory: An Analysis of Decision Under Risk,"
World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127,
World Scientific Publishing Co. Pte. Ltd..
- Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
- Garth P. McCormick, 1969. "Communications to the Editor--Exponential Forecasting: Some New Variations," Management Science, INFORMS, vol. 15(5), pages 311-320, January.
- Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Ji, Qiang & Guo, Jian-Feng, 2015. "Oil price volatility and oil-related events: An Internet concern study perspective," Applied Energy, Elsevier, vol. 137(C), pages 256-264.
- Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
- Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics Discussion Papers em-dp2014-09, Department of Economics, University of Reading.
- Ji, Qiang & Guo, Jian-Feng, 2015. "Market interdependence among commodity prices based on information transmission on the Internet," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 426(C), pages 35-44.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Dirk Ulbricht & Konstantin A. Kholodilin & Tobias Thomas, 2017.
"Do Media Data Help to Predict German Industrial Production?,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 483-496, August.
- Kholodilin, Konstantin A. & Thomas, Tobias & Ulbricht, Dirk, 2014. "Do media data help to predict German industrial production?," DICE Discussion Papers 149, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Konstantin A. Kholodilin & Tobias Thomas & Dirk Ulbricht, 2014. "Do Media Data Help to Predict German Industrial Production?," Discussion Papers of DIW Berlin 1393, DIW Berlin, German Institute for Economic Research.
- Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Baur, Dirk G. & Smales, Lee A., 2020. "Hedging geopolitical risk with precious metals," Journal of Banking & Finance, Elsevier, vol. 117(C).
- Gric, Zuzana & Ehrenbergerova, Dominika & Hodula, Martin, 2022.
"The power of sentiment: Irrational beliefs of households and consumer loan dynamics,"
Journal of Financial Stability, Elsevier, vol. 59(C).
- Zuzana Rakovska & Dominika Ehrenbergerova & Martin Hodula, 2020. "The Power of Sentiment: Irrational Beliefs of Households and Consumer Loan Dynamics," Working Papers 2020/10, Czech National Bank.
- Shubhankar Mohapatra & Nauman Ahmed & Paulo Alencar, 2020. "KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments," Papers 2003.04967, arXiv.org.
- Bianconi, Marcelo & Hua, Xiaxin & Tan, Chih Ming, 2015.
"Determinants of systemic risk and information dissemination,"
International Review of Economics & Finance, Elsevier, vol. 38(C), pages 352-368.
- Marcelo Bianconi & Xiaxin Hua & Chih Ming Tan, 2013. "Determinants of Systemic Risk and Information Dissemination," Working Paper series 67_13, Rimini Centre for Economic Analysis.
- Marcelo Bianconi & Xiaxin Hua & Chih Ming Tan, 2013. "Determinants of Systemic Risk and Information Dissemination," Discussion Papers Series, Department of Economics, Tufts University 0776, Department of Economics, Tufts University.
- Ding, Rong & Hou, Wenxuan & Liu, Yue (Lucy) & Zhang, John Ziyang, 2018. "Media censorship and stock price: Evidence from the foreign share discount in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 112-133.
- Abudy, Menachem (Meni) & Mugerman, Yevgeny & Shust, Efrat, 2022. "The Winner Takes It All: Investor Sentiment and the Eurovision Song Contest," Journal of Banking & Finance, Elsevier, vol. 137(C).
- Ben Sita, Bernard, 2017. "Volatility patterns of the constituents of FTSE100 in the aftermath of the U.K. Brexit referendum," Finance Research Letters, Elsevier, vol. 23(C), pages 137-146.
- Beattie, Vivien, 2014. "Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework," The British Accounting Review, Elsevier, vol. 46(2), pages 111-134.
- Thierry Chauveau & Sylvain Friederich & Jérôme Héricourt & Emmanuel Jurczenko & Catherine Lubochinsky & Bertrand Maillet & Christophe Moussu & Bogdan Négréa & Hélène Raymond-Feingold, 2004.
"La volatilité des marchés augmente-t-elle ?,"
Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 17-44.
- Thierry Chauveau & Sylvain Friederich & Jérôme Héricourt & Emmanuel Jurczenko & Catherine Lubochinsky & Bertrand Maillet & Christophe Moussu & Bogdan Négréa & Hélène Raymond Feingold, 2004. "La volatilité des marchés augmente-elle ?," Post-Print hal-00308982, HAL.
- Thierry Chauveau & Sylvain Friederich & Jérôme Héricourt & Emmanuel Jurczenko & Catherine Lubochinsky & Bertrand Maillet & Christophe Moussu & Bogdan Négréa & Hélène Raymond Feingold, 2004. "La volatilité des marchés augmente-elle ?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308982, HAL.
- Gabriele Ranco & Darko Aleksovski & Guido Caldarelli & Miha Grčar & Igor Mozetič, 2015. "The Effects of Twitter Sentiment on Stock Price Returns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
- Eric. W. K. See-To & Yang Yang, 2017. "Market sentiment dispersion and its effects on stock return and volatility," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 283-296, August.
- Victor Chernozhukov & Wolfgang K. Hardle & Chen Huang & Weining Wang, 2018.
"LASSO-Driven Inference in Time and Space,"
Papers
1806.05081, arXiv.org, revised May 2020.
- Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang, 2019. "LASSO-Driven Inference in Time and Space," CeMMAP working papers CWP20/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Härdle, Wolfgang Karl & Huang, Chen & Wang, Weining, 2018. "LASSO-Driven Inference in Time and Space," IRTG 1792 Discussion Papers 2018-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Chernozhukov, V. & Härdle, W.K. & Huang, C. & Wang, W., 2018. "LASSO-Driven Inference in Time and Space," Working Papers 18/04, Department of Economics, City University London.
- Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang, 2018. "LASSO-driven inference in time and space," CeMMAP working papers CWP36/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Ferreruela, Sandra & Mallor, Tania, 2021. "Herding in the bad times: The 2008 and COVID-19 crises," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- Sushant Chari & Purva Hegde Desai & Nilesh Borde & Babu George, 2023. "Aggregate News Sentiment and Stock Market Returns in India," JRFM, MDPI, vol. 16(8), pages 1-18, August.
- Arcuri, Maria Cristina & Gandolfi, Gino & Russo, Ivan, 2023. "Does fake news impact stock returns? Evidence from US and EU stock markets," Journal of Economics and Business, Elsevier, vol. 125.
- Di, Li & Shaiban, Mohammed Sharaf & Hasanov, Akram Shavkatovich, 2021. "The power of investor sentiment in explaining bank stock performance: Listed conventional vs. Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
- Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2020.
"Fear of hazards in commodity futures markets,"
Journal of Banking & Finance, Elsevier, vol. 119(C).
- Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Gonzalez-Fernandez, Marcos & Miffre, Joelle, 2019. "Fear of Hazards in Commodity Futures Markets," MPRA Paper 100528, University Library of Munich, Germany, revised 06 May 2020.
- Adrian Fernandez-Perez & Ana-Maria Fuertes & Marcos Gonzalez-Fernandez & Joelle Miffre, 2020. "Fear of Hazards in Commodity Futures Markets," Post-Print hal-02931680, HAL.
- Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2014. "Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics," Papers 1412.3948, arXiv.org, revised Dec 2015.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2012-12-10 (Forecasting)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1212.1037. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.