News Cohesiveness: an Indicator of Systemic Risk in Financial Markets
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- Xuqing Huang & Irena Vodenska & Shlomo Havlin & H. Eugene Stanley, 2012. "Cascading Failures in Bi-partite Graphs: Model for Systemic Risk Propagation," Papers 1210.4973, arXiv.org, revised Jan 2013.
- Huina Mao & Scott Counts & Johan Bollen, 2011. "Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data," Papers 1112.1051, arXiv.org.
- Ilaria Bordino & Stefano Battiston & Guido Caldarelli & Matthieu Cristelli & Antti Ukkonen & Ingmar Weber, 2012.
"Web Search Queries Can Predict Stock Market Volumes,"
PLOS ONE, Public Library of Science, vol. 7(7), pages 1-17, July.
- Ilaria Bordino & Stefano Battiston & Guido Caldarelli & Matthieu Cristelli & Antti Ukkonen & Ingmar Weber, 2011. "Web search queries can predict stock market volumes," Papers 1110.4784, arXiv.org, revised Jun 2012.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Thomas Dimpfl & Stephan Jank, 2016.
"Can Internet Search Queries Help to Predict Stock Market Volatility?,"
European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can Internet search queries help to predict stock market volatility?," University of Tübingen Working Papers in Business and Economics 18, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
- Dimpfl, Thomas & Jank, Stephan, 2011. "Can internet search queries help to predict stock market volatility?," CFR Working Papers 11-15, University of Cologne, Centre for Financial Research (CFR).
- Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007.
"Real-time price discovery in global stock, bond and foreign exchange markets,"
Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2006. "Real-time price discovery in global stock, bond and foreign exchange markets," International Finance Discussion Papers 871, Board of Governors of the Federal Reserve System (U.S.).
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2007. "Real-Time Price Discovery in Global Stock, Bond and Foreign Exchange Markets," CREATES Research Papers 2007-20, Department of Economics and Business Economics, Aarhus University.
- Dion Harmon & Marcus A. M. de Aguiar & David D. Chinellato & Dan Braha & Irving R. Epstein & Yaneer Bar-Yam, 2011. "Predicting economic market crises using measures of collective panic," Papers 1102.2620, arXiv.org.
- Roberto Casarin & Flaminio Squazzoni, 2013. "Being on the Field When the Game Is Still Under Way. The Financial Press and Stock Markets in Times of Crisis," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
- Roberto Casarin & Flaminio Squazzoni, 2012. "Financial press and stock markets in times of crisis," Working Papers 2012_04, Department of Economics, University of Venice "Ca' Foscari".
- Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
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Cited by:
- Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016.
"The economics of BitCoin price formation,"
Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," EERI Research Paper Series EERI RP 2014/08, Economics and Econometrics Research Institute (EERI), Brussels.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," Papers 1405.4498, arXiv.org.
- Jamal Bouoiyour & Refk Selmi, 2015.
"What Does Bitcoin Look Like?,"
Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 449-492, November.
- Jamal Bouoiyour & Refk Selmi, 2015. "What Does Bitcoin Look Like?," Post-Print hal-01879683, HAL.
- Bouoiyour, Jamal & Selmi, Refk, 2014. "What Bitcoin Looks Like?," MPRA Paper 58091, University Library of Munich, Germany.
- Bouoiyour, Jamal & Selmi, Refk & Tiwari, Aviral, 2014.
"Is Bitcoin business income or speculative bubble? Unconditional vs. conditional frequency domain analysis,"
MPRA Paper
59595, University Library of Munich, Germany.
- Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari, 2015. "Is Bitcoin Business Income or Speculative Bubble? Unconditional vs. Conditional Frequency Domain Analysis," Post-Print hal-01879684, HAL.
- repec:pra:mprapa:58133 is not listed on IDEAS
- Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari, 2015. "Is Bitcoin Business Income Or Speculative Foolery? New Ideas Through An Improved Frequency Domain Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-23.
- Bouoiyour, Jamal & Selmi, Refk, 2014. "What Does Crypto-currency Look Like? Gaining Insight into Bitcoin Phenomenon," MPRA Paper 57907, University Library of Munich, Germany.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-FMK-2014-02-21 (Financial Markets)
- NEP-RMG-2014-02-21 (Risk Management)
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