Return and volatility spillovers between china and world oil markets
By Bing Zhang, Peijie Wang. 2014
115 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/77a4269ae4daa2d034c7f6c07f801f756327e158
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
- Sang Hoon Kang
- Renatas Kizys
- Kaijian He
- Seong‐Min Yoon
- Ron P. McIver
- Dimitrios Stafylas
- Rui Zha
- Lean Yu
Citations in the corpus
- Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets (2017, background): “Several studies emphasize a number of empirical advantages of this method (Awartani and Maghyereh, 2013; Zhang and Wang, 2014; Antonakakis and Kizys, 2015).”
- Dynamic spillovers between commodity and currency markets (2015, background): “…as it is one of the most common academic definitions of volatility and provides the most stable results given varying sample sizes (see, e.g. Zhang and Wang, 2014).6 The spot prices of gold and silver were relatively stable (and even decreasing) before 2003/2004, but they experienced…”
- Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models (2020, background): “At the same time, researchers explore price volatility using multivariate GARCH models to facilitate analysis of multi-dimensional relationships among the markets (e.g., Awartani and Maghyereh, 2013; Du and He, 2015; Zhang and Wang, 2014; Jouini, 2013; Sadorsky, 2012).”