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The impact of the financial crisis on transatlantic information flows: An intraday analysis

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Cited by:

  1. Neto, David, 2022. "Revisiting spillovers between investor attention and cryptocurrency markets using noisy independent component analysis and transfer entropy," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
  2. Nie, Chun-Xiao, 2023. "Time-varying characteristics of information flow networks in the Chinese market: An analysis based on sector indices," Finance Research Letters, Elsevier, vol. 54(C).
  3. Parthajit Kayal & Moinak Maiti, 2023. "Examining the asymmetric information flow between pairs of gold, silver, and oil: a transfer entropy approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
  4. Allen, Franklin & Haas, Marlene D. & Nowak, Eric & Tengulov, Angel, 2021. "Market efficiency and limits to arbitrage: Evidence from the Volkswagen short squeeze," Journal of Financial Economics, Elsevier, vol. 142(1), pages 166-194.
  5. Yang, Pengbo & Shang, Pengjian & Lin, Aijing, 2017. "Financial time series analysis based on effective phase transfer entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 398-408.
  6. Banerjee, Ameet Kumar & Akhtaruzzaman, Md & Dionisio, Andreia & Almeida, Dora & Sensoy, Ahmet, 2022. "Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
  7. Xu, Xin & Huang, Shupei & Lucey, Brian M. & An, Haizhong, 2023. "The impacts of climate policy uncertainty on stock markets: Comparison between China and the US," International Review of Financial Analysis, Elsevier, vol. 88(C).
  8. Krieger, Kevin & Mauck, Nathan & Vazquez, Joseph, 2015. "Comparing U.S. and European market volatility responses to interest rate policy announcements," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 127-136.
  9. Neto, David, 2022. "Examining interconnectedness between media attention and cryptocurrency markets: A transfer entropy story," Economics Letters, Elsevier, vol. 214(C).
  10. Herrera, Rodrigo & Schipp, Bernhard, 2014. "Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 218-238.
  11. Jarosław Duda & Henryk Gurgul & Robert Syrek, 2022. "Multi-feature evaluation of financial contagion," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1167-1194, December.
  12. Tong, Zezheng & Goodell, John W. & Shen, Dehua, 2022. "Assessing causal relationships between cryptocurrencies and investor attention: New results from transfer entropy methodology," Finance Research Letters, Elsevier, vol. 50(C).
  13. Dimpfl, Thomas & Peter, Franziska J., 2019. "Group transfer entropy with an application to cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 543-551.
  14. Dimpfl, Thomas & Peter, Franziska J., 2018. "Analyzing volatility transmission using group transfer entropy," Energy Economics, Elsevier, vol. 75(C), pages 368-376.
  15. Delphine H. Lautier, Franck Raynaud, and Michel A. Robe, 2019. "Shock Propagation Across the Futures Term Structure: Evidence from Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
  16. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2015. "Intra-daily volatility spillovers in international stock markets," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 95-114.
  17. Singh, Vipul Kumar & Kumar, Pawan & Nishant, Shreyank, 2019. "Global connectedness of MSCI energy equity indices: A system-wide network approach," Energy Economics, Elsevier, vol. 84(C).
  18. Theo Diamandis & Yonathan Murin & Andrea Goldsmith, 2018. "Ranking Causal Influence of Financial Markets via Directed Information Graphs," Papers 1801.06896, arXiv.org.
  19. Chen, Yanhua & Pantelous, Athanasios A., 2022. "The U.S.-China trade conflict impacts on the Chinese and U.S. stock markets: A network-based approach," Finance Research Letters, Elsevier, vol. 46(PB).
  20. Delphine Lautier & Franck Raynaud & Michel Robe, 2017. "Information Flows across the Futures Term Structure: Evidence from Crude Oil Prices," Post-Print hal-01781761, HAL.
  21. Daugherty, Mary Schmid & Jithendranathan, Thadavillil, 2015. "A study of linkages between frontier markets and the U.S. equity markets using multivariate GARCH and transfer entropy," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 95-115.
  22. Leonidas Sandoval Junior & Asher Mullokandov & Dror Y. Kenett, 2015. "Dependency Relations among International Stock Market Indices," JRFM, MDPI, vol. 8(2), pages 1-39, May.
  23. Ferreira, Joaquim & Morais, Flávio, 2023. "Predict or to be predicted? A transfer entropy view between adaptive green markets, structural shocks and sentiment index," Finance Research Letters, Elsevier, vol. 56(C).
  24. Leonidas Sandoval Junior, 2014. "Dynamics in two networks based on stocks of the US stock market," Papers 1408.1728, arXiv.org, revised Aug 2014.
  25. Teng, Yue & Shang, Pengjian, 2017. "Transfer entropy coefficient: Quantifying level of information flow between financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 60-70.
  26. Ladislav Kristoufek, 2022. "On the role of stablecoins in cryptoasset pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
  27. Alexander Koch & Toan Luu Duc Huynh & Mei Wang, 2024. "News sentiment and international equity markets during BREXIT period: A textual and connectedness analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 5-34, January.
  28. He, Jiayi & Shang, Pengjian, 2017. "Comparison of transfer entropy methods for financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 772-785.
  29. Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
  30. Jale, Jader S. & Júnior, Sílvio F.A.X. & Stošić, Tatijana & Stošić, Borko & Ferreira, Tiago A.E., 2019. "Information flow between Ibovespa and constituent companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 233-239.
  31. Ebenezer Boateng & Emmanuel Asafo-Adjei & John Gartchie Gatsi & ªtefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2022. "Multifrequency-based non-linear approach to analyzing implied volatility transmission across global financial markets," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 699-743, September.
  32. Nicoló Andrea Caserini & Paolo Pagnottoni, 2022. "Effective transfer entropy to measure information flows in credit markets," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 729-757, October.
  33. Ferreira, Paulo & Almeida, Dora & Dionísio, Andreia & Bouri, Elie & Quintino, Derick, 2022. "Energy markets – Who are the influencers?," Energy, Elsevier, vol. 239(PA).
  34. Xie, Wen-Jie & Yong, Yang & Wei, Na & Yue, Peng & Zhou, Wei-Xing, 2021. "Identifying states of global financial market based on information flow network motifs," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  35. Gkillas, Konstantinos & Tsagkanos, Athanasios & Vortelinos, Dimitrios I., 2019. "Integration and risk contagion in financial crises: Evidence from international stock markets," Journal of Business Research, Elsevier, vol. 104(C), pages 350-365.
  36. Dimpfl, Thomas & Flad, Michael & Jung, Robert C., 2017. "Price discovery in agricultural commodity markets in the presence of futures speculation," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 50-62.
  37. Evangelos Ioannidis & Iordanis Sarikeisoglou & Georgios Angelidis, 2023. "Portfolio Construction: A Network Approach," Mathematics, MDPI, vol. 11(22), pages 1-24, November.
  38. Kao, Erin H. & Ho, Tsung-wu & Fung, Hung-Gay, 2015. "Price linkage between the US and Japanese futures across different time zones: An analysis of the minute-by-minute data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 321-336.
  39. Assaf, Ata & Bilgin, Mehmet Huseyin & Demir, Ender, 2022. "Using transfer entropy to measure information flows between cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
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