This dissertation provides a study on systemic risk in financial markets; it is laid out as follows. Chapter 1 provides a survey of the quantitative measure of systemic risk in the economics and finance literature. In Chapter 2 examine, using conditional VaR (CoVaR), the systemic risk generated by major Spanish financial institutions in the recent global financial crisis and the European sovereign debt crisis as a systemic risk measure. CoVaR was quantified using quantile regression, multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) and copula approaches. We also describe a novel copula-based approach to computing the CoVaR value, given that copula are flexible modellers of joint distribution and are particularly useful for characterizing the tail behaviour that provides such crucial information for the CoVaR.
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Vendeur : MARCIAL PONS LIBRERO, MADRID, M, Espagne
TAPA BLANDA. Etat : New. N° de réf. du vendeur 101004064
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Vendeur : Siglo Actual Libros, Soria, SO, Espagne
Rústica. Etat : Nuevo. Etat de la jaquette : Nuevo. ZONUNIV. N° de réf. du vendeur SAL8481028034
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Vendeur : Midac, S.L., Sabadell, B, Espagne
Rústica. Etat : New. This dissertation provides a study on systemic risk in financial markets; it is laid out as follows. Chapter 1 provides a survey of the quantitative measure of systemic risk in the economics and finance literature. In Chapter 2 examine, using conditional. N° de réf. du vendeur 9788481028034
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Vendeur : Imosver, PONTECALDELAS, PO, Espagne
Etat : Nuevo. This dissertation provides a study on systemic risk in financial markets; it is laid out as follows. Chapter 1 provides a survey of the quantitative measure of systemic risk in the economics and finance literature. In Chapter 2 examine, using conditional VaR (CoVaR), the systemic risk generated by major Spanish financial institutions in the recent global financial crisis and the European sovereign debt crisis as a systemic risk measure. CoVaR was quantified using quantile regression, multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) and copula approaches. We also describe a novel copula-based approach to computing the CoVaR value, given that copula are flexible modellers of joint distribution and are particularly useful for characterizing the tail behaviour that provides such crucial information for the CoVaR. N° de réf. du vendeur MAR0003657
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Tapa blanda. Etat : New. UGOLINI, A.: MODELLING SYSTEMATIC RISK IN FINANCIAL MARKETS [CUADERNOS DE INVESTIGACION UCEIF, 20-2016]. 978-84-8102-803-4, UNIV. DE CANTABRIA - Sº PUBLICACIONES, 2016. Nuevo 335 gr. Libro. N° de réf. du vendeur 599291
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