A New Attempt to Identify Long-term Precursors for Endogenous Financial Crises in the Market Correlation Structures
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Cited by:
- Tobias Wand & Martin He{ss}ler & Oliver Kamps, 2022. "Identifying Dominant Industrial Sectors in Market States of the S&P 500 Financial Data," Papers 2208.14106, arXiv.org, revised Mar 2023.
- Heckens, Anton J. & Guhr, Thomas, 2022. "New collectivity measures for financial covariances and correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
- M. Mija'il Mart'inez-Ramos & Parisa Majari & Andres R. Cruz-Hern'andez & Hirdesh K. Pharasi & Manan Vyas, 2024. "Coarse graining correlation matrices according to macrostructures: Financial markets as a paradigm," Papers 2402.05364, arXiv.org, revised Jun 2024.
- Martin He{ss}ler & Tobias Wand & Oliver Kamps, 2023. "Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation," Papers 2308.00087, arXiv.org.
- Tobias Wand & Martin He{ss}ler & Oliver Kamps, 2023. "Memory Effects, Multiple Time Scales and Local Stability in Langevin Models of the S&P500 Market Correlation," Papers 2307.12744, arXiv.org.
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This paper has been announced in the following NEP Reports:- NEP-RMG-2021-08-09 (Risk Management)
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