Modelling dynamic conditional correlations in WTI oil forward and futures returns
By Alessandro Lanza, Matteo Manera, Michael Mcaleer. 2004
133 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/24d4f94f657b144f89290aface30ecf67f7395f2
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
- Massimiliano Caporin
- Michael Mcaleer
- Chih-Chiang Wu
- Yu Chang
- Huimin Chung
- S. Ling
- Bernardo da Veiga
- Marcelo C. Medeiros
In Finance
- Massimiliano Caporin
- Michael Mcaleer
- Chih-Chiang Wu
- Yu Chang
- Huimin Chung
- S. Ling
- Bernardo da Veiga
- Marcelo C. Medeiros
Citations in the corpus
- Ten Things You Should Know About the Dynamic Conditional Correlation Representation (2013, background): “More recently, there has been growing interest in energy finance, particularly oil (see Lanza et al. (2006), Chang et al. (2011), and Hammoudeh et al. (2013), among others).”
- The economic value of co-movement between oil price and exchange rate using copula-based GARCH models (2011, result): “Further, the asymmetric parameters di in the GJR-GARCH model are insignificant and exhibit no asymmetric effect on the volatility structures of crude oil and exchange-rate markets, which is consistent with Lanza et al. (2006) and Wang and Yang (2009).”