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MIDAS models in banking sector – systemic risk comparison

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This paper shows the application of MIDAS based models in systemic risk assessment in banking sector. We consider two popular measures of systemic risk i.e. Marginal Expected Shortfall and Delta Conditional Value at Risk. The GARCH-MIDAS model is used in modelling conditional volatilities. The long-run component is modeled using realized volatility. The conditional correlation, second step of modelling, is described with DCC-MIDAS model. This is novel approach in respect to classical TARCH and DCC modelling. Whereas the information contained in macroeconomic variables, if available, can help to predict short and long-term components, this is the promising option in improvement of systemic risk assessment.
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Bibliogr. 22 poz., tab., wykr.
  • AGH University of Science and Technology in Cracow, Department of Applications of Mathematics in Economics
  • University of Graz, Institute of Banking and Finance
  • Jagiellonian University in Krakow, Institute of Economics, Finance and Management
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Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
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