Analysing financial contagion and asymmetric market dependence with volatility indices via copulas
By Yue Peng, Wing Lon Ng. 2012
90 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/189e7ac8ad2a0328cd7e5907f8bc7d1c2b4023ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Y. Klimova
- Jakob Stober
- Holger Fink
- Claudia Czado
- Eike C. Brechmann
- Kjersti Aas
- Ulf Schepsmeier
- Aleksey Min
In Finance
- Y. Klimova
- Jakob Stober
- Holger Fink
- Claudia Czado
- Eike C. Brechmann
- Kjersti Aas
- Ulf Schepsmeier
- Aleksey Min
Citations in the corpus
- How Does Oil Market Uncertainty Interact with Other Markets? An Empirical Analysis of Implied Volatility Index (2013, unknown): “Among others, Peng and Ng [21] showed that the dependence between volatility indices in five popular equity markets was more easily influenced by financial shocks and reflected the instantaneous information faster than the stock market indices.”
- Regime Switching Vine Copula Models for Global Equity and Volatility Indices (2016, background): “Most closely related to our work is probably Peng and Ng [19] who applied a dynamic mixed copula approach with a focus on tail dependencies to analyze contagion effects between stock index movements and showed that financial shocks have a stronger effect on the relationship between volatility indice”