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Public information arrival and volatility of intraday stock returns

Citations

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Cited by:

  1. Adam Clements & Neda Todorova, 2014. "The impact of information flow and trading activity on gold and oil futures volatility," NCER Working Paper Series 102, National Centre for Econometric Research.
  2. Kalev, Petko S. & Nguyen, Anh H. & Oh, Natalie Y., 2008. "Foreign versus local investors: Who knows more? Who makes more?," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2376-2389, November.
  3. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2020. "News and return volatility of Chinese bank stocks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1095-1105.
  4. Yen-Ju Hsu & Yang-Cheng Lu & J. Jimmy Yang, 2021. "News sentiment and stock market volatility," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1093-1122, October.
  5. Ignacio Arango & Diego A. Agudelo, 2017. "How does information disclosure affect liquidity?Evidence from an Emerging Market," Documentos de Trabajo CIEF 16990, Universidad EAFIT.
  6. Marco Minozzo & Silvia Centanni, 2012. "Monte Carlo likelihood inference for marked doubly stochastic Poisson processes with intensity driven by marked point processes," Working Papers 11/2012, University of Verona, Department of Economics.
  7. Hassan Tanha & Michael Dempsey, 2016. "The Information Content of ASX SPI 200 Implied Volatility," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-14, March.
  8. Groß-Klußmann, Axel & Hautsch, Nikolaus, 2011. "When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 321-340, March.
  9. Kalev, Petko S. & Pham, Linh T., 2009. "Intraweek and intraday trade patterns and dynamics," Pacific-Basin Finance Journal, Elsevier, vol. 17(5), pages 547-564, November.
  10. Angelos Kanas, 2013. "The risk-return relation and VIX: evidence from the S&P 500," Empirical Economics, Springer, vol. 44(3), pages 1291-1314, June.
  11. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
  12. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.
  13. Kang, Sang Hoon & Yoon, Seong-Min, 2008. "Long memory features in the high frequency data of the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5189-5196.
  14. Athanasakou, Vasiliki E. & Strong, Norman C & Walker, Martin, 2014. "The relative concentration of bad versus good news flows," LSE Research Online Documents on Economics 60139, London School of Economics and Political Science, LSE Library.
  15. Kin‐Yip Ho & Lin Zheng & Zhaoyong Zhang, 2012. "Volume, volatility and information linkages in the stock and option markets," Review of Financial Economics, John Wiley & Sons, vol. 21(4), pages 168-174, November.
  16. Füss, Roland & Grabellus, Markus & Mager, Ferdinand & Stein, Michael, 2018. "Something in the air: Information density, news surprises, and price jumps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 50-75.
  17. Uctum, Remzi & Renou-Maissant, Patricia & Prat, Georges & Lecarpentier-Moyal, Sylvie, 2017. "Persistence of announcement effects on the intraday volatility of stock returns: Evidence from individual data," Review of Financial Economics, Elsevier, vol. 35(C), pages 43-56.
  18. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
  19. Aman, Hiroyuki & Moriyasu, Hiroshi, 2017. "Volatility and public information flows: Evidence from disclosure and media coverage in the Japanese stock market," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 660-676.
  20. Nidhi Aggarwal & Susan Thomas, 2019. "When stock futures dominate price discovery," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 263-278, March.
  21. Simonsen, Ola, 2006. "Stock Data, Trade Durations, And Limit Order Book Information," Umeå Economic Studies 689, Umeå University, Department of Economics.
  22. Sidorov, Sergei & Date, Paresh & Balash, Vladimir, 2013. "Using news analytics data in GARCH models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 29(1), pages 82-96.
  23. Li, Shouwei & Zhuang, Yangyang & He, Jianmin, 2016. "Stock market stability: Diffusion entropy analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 462-465.
  24. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2019. "Volatility persistence and asymmetry under the microscope: the role of information demand for gold and oil," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 180-197, February.
  25. Bertelsen, Kristoffer Pons & Borup, Daniel & Jakobsen, Johan Stax, 2021. "Stock market volatility and public information flow: A non-linear perspective," Economics Letters, Elsevier, vol. 204(C).
  26. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.
  27. Robert F. Engle & Martin Klint Hansen & Asger Lunde, 2012. "And Now, The Rest of the News: Volatility and Firm Specific News Arrival," CREATES Research Papers 2012-56, Department of Economics and Business Economics, Aarhus University.
  28. Wan, Jer-Yuh & Kao, Chung-Wei, 2008. "The euro and pound volatility dynamics: An investigation from conditional jump process," Research in International Business and Finance, Elsevier, vol. 22(2), pages 193-207, June.
  29. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
  30. Muntermann, Jan & Guettler, Andre, 2007. "Intraday stock price effects of ad hoc disclosures: the German case," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(1), pages 1-24, February.
  31. Adam Clements & Yin Liao, "undated". "News and network structures in equity market volatility," NCER Working Paper Series 110, National Centre for Econometric Research.
  32. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2014. "Internet, noise trading and commodity futures prices," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 82-89.
  33. Ronny Luss & Alexandre D'Aspremont, 2015. "Predicting abnormal returns from news using text classification," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 999-1012, June.
  34. Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021. "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 849-889, April.
  35. repec:zbw:bofrdp:2004_024 is not listed on IDEAS
  36. Adam E. Clements & Neda Todorova, 2016. "Information Flow, Trading Activity and Commodity Futures Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 88-104, January.
  37. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2012. "Information Demand and Agriculture Commodity Prices," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144973, International European Forum on System Dynamics and Innovation in Food Networks.
  38. Chia-Ching Chang & Sheng-Syan Chen & Robin Chou & Chin-Wen Hsin, 2011. "Intraday return spillovers and its variations across trading sessions," Review of Quantitative Finance and Accounting, Springer, vol. 36(3), pages 355-390, April.
  39. Duong, Huu Nhan & Kalev, Petko S. & Tian, Xiao Jason, 2022. "Does the bid–ask spread affect trading in exchange operated dark pools? Evidence from a natural experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
  40. Chen, Chun-Hung & Yu, Wei-Choun & Zivot, Eric, 2012. "Predicting stock volatility using after-hours information: Evidence from the NASDAQ actively traded stocks," International Journal of Forecasting, Elsevier, vol. 28(2), pages 366-383.
  41. Duong, Huu Nhan & Kalev, Petko S., 2014. "Anonymity and the Information Content of the Limit Order Book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 205-219.
  42. Strohsal, Till & Weber, Enzo, 2015. "Time-varying international stock market interaction and the identification of volatility signals," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 28-36.
  43. Peter Koudijs, 2016. "The Boats That Did Not Sail: Asset Price Volatility in a Natural Experiment," Journal of Finance, American Finance Association, vol. 71(3), pages 1185-1226, June.
  44. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
  45. Adam Clements & Joanne Fuller & Vasilios Papalexiou, 2015. "Public news flow in intraday component models for trading activity and volatility," NCER Working Paper Series 106, National Centre for Econometric Research.
  46. Kishore Joseph & Philip Garcia, 2018. "Intraday market effects in electronic soybean futures market during non-trading and trading hour announcements," Applied Economics, Taylor & Francis Journals, vol. 50(11), pages 1188-1202, March.
  47. Feng, Lingbing & Fu, Tong & Shi, Yanlin, 2022. "How does news sentiment affect the states of Japanese stock return volatility?," International Review of Financial Analysis, Elsevier, vol. 84(C).
  48. Strohsal, Till & Weber, Enzo, 2013. "Identifying Volatility Signals from Time-Varying Simultaneous Stock Market Interaction," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79903, Verein für Socialpolitik / German Economic Association.
  49. Fredj Jawadi & Wael Louhichi & Hachmi Ben Ameur & Abdoulkarim Idi Cheffou, 2017. "On Oil-US Exchange Rate Volatility Relationships: an Intradaily Analysis," Working Papers hal-04141662, HAL.
  50. Till Strohsal & Enzo Weber, 2012. "The Signal of Volatility," SFB 649 Discussion Papers SFB649DP2012-043, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  51. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2012. "Reducing the risk of VWAP orders execution - A new approach to modeling intra-day volume," Post-Print hal-01632822, HAL.
  52. Alpha Basweti Kenyatta & Antony Ngunyi & Anthony Gichuhi Waititu, 2020. "News Classification using Support Vector Machine to Model and Forecast Volatility," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(1), pages 1-1.
  53. Sankaraguruswamy, Srinivasan & Shen, Jianfeng & Yamada, Takeshi, 2013. "The relationship between the frequency of news release and the information asymmetry: The role of uninformed trading," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4134-4143.
  54. Pavel Ciaian & d'Artis Kancs & Miroslava Rajcaniova, 2018. "The Price of BitCoin: GARCH Evidence from High Frequency Data," Papers 1812.09452, arXiv.org.
  55. Jawadi, Fredj & Louhichi, Waël & Ameur, Hachmi Ben & Cheffou, Abdoulkarim Idi, 2016. "On oil-US exchange rate volatility relationships: An intraday analysis," Economic Modelling, Elsevier, vol. 59(C), pages 329-334.
  56. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
  57. Muhammad Ateeq ur REHMAN & Syed Ghulam Meran SHAH & Lucian-Ionel CIOCA & Alin ARTENE, 2021. "Accentuating the Impacts of Political News on the Stock Price, Working Capital and Performance: An Empirical Review of Emerging Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 55-73, June.
  58. Diego A. Agudelo & Ignacio Arango, 2017. "How does information disclosure affect liquidity? Evidence from an Emerging Market," Documentos de Trabajo CIEF 16944, Universidad EAFIT.
  59. Angelos Kanas, 2014. "Uncovering a positive risk-return relation: the role of implied volatility index," Review of Quantitative Finance and Accounting, Springer, vol. 42(1), pages 159-170, January.
  60. Simonsen, Ola, 2006. "The Impact of News Releases on Trade Durations in Stocks -Empirical Evidence from Sweden," Umeå Economic Studies 688, Umeå University, Department of Economics.
  61. Agata Kliber & Barbara Bedowska-Sojka, 2013. "Economic Situation of the Country or Risk in the World Financial Market? The Dynamics of Polish Sovereign Credit Default Swap Spreads," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 87-106.
  62. Axel Groß-Klußmann & Nikolaus Hautsch, 2009. "Quantifying High-Frequency Market Reactions to Real-Time News Sentiment Announcements," SFB 649 Discussion Papers SFB649DP2009-063, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  63. Massimo PERI & Daniela VANDONE & Lucia BALDI, 2012. "Internet, noise trading and commodity prices," Departmental Working Papers 2012-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  64. Caglayan, Mustafa Onur & Xue, Wenjun & Zhang, Liwen, 2020. "Global investigation on the country-level idiosyncratic volatility and its determinants," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 143-160.
  65. Moussa, Faten & Delhoumi, Ezzeddine & Ouda, Olfa Ben, 2017. "Stock return and volatility reactions to information demand and supply," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 54-67.
  66. Arango, Ignacio & Agudelo, Diego A., 2019. "How does information disclosure affect liquidity? Evidence from an emerging market," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
  67. Rosati, Pierangelo & Deeney, Peter & Cummins, Mark & van der Werff, Lisa & Lynn, Theo, 2019. "Social media and stock price reaction to data breach announcements: Evidence from US listed companies," Research in International Business and Finance, Elsevier, vol. 47(C), pages 458-469.
  68. Pascual-Fuster, Bartolome & Perez-Rodriguez, Jorge V., 2007. "Volatility transmission for cross-listed firms and the role of international exposure," Japan and the World Economy, Elsevier, vol. 19(3), pages 303-328, August.
  69. Xianfeng Hao & Yudong Wang, 2023. "Cloud cover and expected oil returns," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
  70. Ahadzie, Richard Mawulawoe & Jeyasreedharan, Nagaratnam, 2020. "Trading volume and realized higher-order moments in the Australian stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
  71. Helinä Laakkonen, 2007. "The Impact of Macroeconomic News on Exchange Rate Volatility," Finnish Economic Papers, Finnish Economic Association, vol. 20(1), pages 23-40, Spring.
  72. An-Sing Chen & Hui-Jyuan Gao & Mark Leung, 2008. "Is Trading Imbalance a Better Explanatory Factor in the Volatility Process? Intraday and Daily Evidence from E-mini S&P 500 Index Futures and Information-Based Hypotheses," Working Papers 0039, College of Business, University of Texas at San Antonio.
  73. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
  74. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.
  75. Bu, Hui, 2014. "Effect of inventory announcements on crude oil price volatility," Energy Economics, Elsevier, vol. 46(C), pages 485-494.
  76. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
  77. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
  78. Riza Erdugan & Nada Kulendran & Riccardo Natoli, 2019. "Incorporating financial market volatility to improve forecasts of directional changes in Australian share market returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(4), pages 417-445, December.
  79. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2018. "Public information arrival, price discovery and dynamic correlations in the Chinese renminbi markets," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 168-186.
  80. Xiong Xiong & Zhang Jin & Feng Xu & Jin Xi, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
  81. Todorova, Neda & Souček, Michael, 2014. "Overnight information flow and realized volatility forecasting," Finance Research Letters, Elsevier, vol. 11(4), pages 420-428.
  82. Agata Kliber, 2016. "The leverage effect puzzle: the case of European sovereign credit default swap market," Review of Derivatives Research, Springer, vol. 19(3), pages 217-235, October.
  83. Lin, Wen-Yuan & Tsai, I-Chun, 2019. "Black swan events in China's stock markets: Intraday price behaviors on days of volatility," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 395-411.
  84. Clements, A.E. & Liao, Y., 2020. "Firm-specific information and systemic risk," Economic Modelling, Elsevier, vol. 90(C), pages 480-493.
  85. Smales, Lee A., 2015. "Asymmetric volatility response to news sentiment in gold futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 161-172.
  86. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
  87. Shi, Yanlin & Ho, Kin-Yip & Liu, Wai-Man, 2016. "Public information arrival and stock return volatility: Evidence from news sentiment and Markov Regime-Switching Approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 291-312.
  88. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.
  89. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
  90. Laakkonen, Helinä, 2004. "The impact of macroeconomic news on exchange rate volatility," Bank of Finland Research Discussion Papers 24/2004, Bank of Finland.
  91. Mauro Bernardi & Leopoldo Catania & Lea Petrella, 2014. "Are news important to predict large losses?," Papers 1410.6898, arXiv.org, revised Oct 2014.
  92. Anagnostidis, Panagiotis & Emmanouilides, Christos J., 2015. "Nonlinearity in high-frequency stock returns: Evidence from the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 473-487.
  93. Zhang, Junru & Zhang, Zhaoyong, 2021. "CSR, Media and Stock Illiquidity: Evidence from Chinese Listed Financial Firms," Finance Research Letters, Elsevier, vol. 41(C).
  94. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  95. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
  96. Shi, Yanlin & Liu, Wai-Man & Ho, Kin-Yip, 2016. "Public news arrival and the idiosyncratic volatility puzzle," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 159-172.
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