Systemic Risk Indicators Based on Nonlinear PolyModel
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Citations
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Cited by:
- Raphaël Douady & Yao Kuang, 2020.
"Crisis Risk Prediction with Concavity from Polymodel,"
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- Raphaël Douady & Yao Kuang, 2022. "Crisis risk prediction with concavity from Polymodel," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03512676, HAL.
- Raphaël Douady & Yao Kuang, 2022. "Crisis risk prediction with concavity from Polymodel," Post-Print hal-03512676, HAL.
- Raphaël Douady & Yao Kuang, 2020. "Crisis Risk Prediction with Concavity from Polymodel," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03018481, HAL.
- Yao Kuang & Raphael Douady, 2022. "Has the Market Started to Collapse or Will It Resist?," Stats, MDPI, vol. 5(2), pages 1-7, April.
- Raphaël Douady, 2019.
"Managing the Downside of Active and Passive Strategies: Convexity and Fragilities,"
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- Raphaël Douady, 2019. "Managing the Downside of Active and Passive Strategies: Convexity and Fragilities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02488589, HAL.
- Buckmann, Marcus & Gallego Marquez, Paula & Gimpelewicz, Mariana & Kapadia, Sujit & Rismanchi, Katie, 2021. "The more the merrier? Evidence from the global financial crisis on the value of multiple requirements in bank regulation," Bank of England working papers 905, Bank of England.
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Keywords
systemic risk crisis; financial indicator; network; nonlinear regression; PolyModel; validation;All these keywords.
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