A Markov regime switching approach for hedging energy commodities
By A. Alizadeh, Nikos Nomikos, Panos K. Pouliasis. 2008
201 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/d81a2f57cadf44c3ad1d6f57e14f13a95d6f779b
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
- Marcel Prokopczuk
- Chris Brooks
- Richard Gerlach
- Cathy W. S. Chen
- Martin Eling
- Qi'an Chen
- Juri Marcucci
- Mike K. P. So
In Finance
- Marcel Prokopczuk
- Chris Brooks
- Richard Gerlach
- Cathy W. S. Chen
- Perry Sadorsky
- Martin Eling
- Qi'an Chen
- Juri Marcucci
Citations in the corpus
- The dynamics of commodity prices (2013, background): “Asgharian and Bengtsson (2006) use this class of models to study the cross-market dependencies of various equity index markets. Compared to this array of research on equity markets, state-of-the-art empirical studies on commodity markets are sparse. Of the few examples there are of such studies, Bre”
- Oil shock transmission to stock market returns: Wavelet-multivariate Markov switching GARCH approach (2012, unknown): “[23] in the same research area.”
- Markov switching GARCH models for Bayesian hedging on energy futures markets (2013, unknown): “In line with the first approach of estimating time-varying hedge ratios, Alizadeh et al. [2008], Lee and Yoder [2007a], Lee and Yoder [2007b] among others propose various regime switching models.”