Market structure dynamics during COVID-19 outbreak
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- Barfuss, Wolfram & Massara, Guido Previde & Di Matteo, T. & Aste, Tomaso, 2016. "Parsimonious modeling with information filtering networks," LSE Research Online Documents on Economics 68860, London School of Economics and Political Science, LSE Library.
- Pier Francesco Procacci & Tomaso Aste, 2019. "Forecasting market states," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1491-1498, September.
- Pier Francesco Procacci & Tomaso Aste, 2018. "Forecasting market states," Papers 1807.05836, arXiv.org, revised May 2019.
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Cited by:
- Fu Qiao & Yan Yan, 2020. "How does stock market reflect the change in economic demand? A study on the industry-specific volatility spillover networks of China's stock market during the outbreak of COVID-19," Papers 2007.07487, arXiv.org.
- Isobel Seabrook & Fabio Caccioli & Tomaso Aste, 2021. "An Information Filtering approach to stress testing: an application to FTSE markets," Papers 2106.08778, arXiv.org.
- Muhammad Khalid Anser & Muhammad Azhar Khan & Khalid Zaman & Abdelmohsen A. Nassani & Sameh E. Askar & Muhammad Moinuddin Qazi Abro & Ahmad Kabbani, 2021. "Financial development during COVID-19 pandemic: the role of coronavirus testing and functional labs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-13, December.
- Seabrook, Isobel & Caccioli, Fabio & Aste, Tomaso, 2022. "Quantifying impact and response in markets using information filtering networks," LSE Research Online Documents on Economics 115308, London School of Economics and Political Science, LSE Library.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-FMK-2020-04-06 (Financial Markets)
- NEP-HME-2020-04-06 (Heterodox Microeconomics)
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