Showing 1 - 10 of 16
We use a Dixit-Stiglitz setting to show that aggregate productivity fluctuations can be generated through changes in the dispersion of firms' productivity. When the elasticity of substitution among goods is larger than one, an increase in the dispersion raises aggregate productivity because...
Persistent link: https://www.econbiz.de/10008854414
Asset allocation and risk calculations depend largely on volatile models. The parameters of the volatility models are estimated using either the Maximum Likelihood (ML) or the Quasi-Maximum Likelihood (QML). By comparing the out-of-sample forecasting performance of 68 ARCH-type models using...
Persistent link: https://www.econbiz.de/10008592981
In this paper, we introduce a volatility-based method for clustering analysis of financial time series. Using the generalized autoregressive conditional heteroskedasticity (GARCH) models we estimate the distances between the stock return volatilities. The proposed method uses the volatility...
Persistent link: https://www.econbiz.de/10005619617
In this paper, we forecast energy market volatility using both univariate and multivariate GARCH-class models. First, we forecast volatilities of individual assets and find that multivariate models display better performance than univariate models. Second, we forecast crack spread volatility and...
Persistent link: https://www.econbiz.de/10010587994
In this paper we build on recent work by Elder and Serletis (2010, forthcoming) and Rahman and Serletis (forthcoming) and investigate the relationship between oil price uncertainty and the level of economic activity, using quarterly Canadian data over the period from 1974:1 to 2010:1. In doing...
Persistent link: https://www.econbiz.de/10010576112
This paper investigates the empirical properties of oil, natural gas, and electricity price volatilities using a range of univariate and multivariate GARCH models and daily data from wholesale markets in the United States for the period from 2001 to 2013. The key contribution to the literature...
Persistent link: https://www.econbiz.de/10011100067
Using daily data from July 2005 to February 2011 for WTI, Dubai and Brent futures contracts, we employ a VAR-BEKK model to investigate crude oil markets integration on the second moment. We also quantify the size and persistence of these connections through the analysis of Volatility Impulse...
Persistent link: https://www.econbiz.de/10011039618
Previous studies on spillover effects in future markets have so far confined themselves to static analyses. In this study, we use a newly introduced spillover index to examine dynamic spillovers between spot and futures market volatility, volume of futures trading and open interest in the UK and...
Persistent link: https://www.econbiz.de/10011111958
In this study we examine the dynamic structural relationship between oil price shocks and stock market returns and volatility for a sample of both net oil-exporting and net oil-importing countries between 1995:09 and 2013:07. We accomplish that, by extending the Diebold and Yilmaz (2012) dynamic...
Persistent link: https://www.econbiz.de/10011112400
This paper proposes spectral and asymmetric-volatility based methods for cluster analysis of stock returns. Using the information about both the periodogram of the squared returns and the estimated parameters in the TARCH equation, we compute a distance matrix for the stock returns. Clusters are...
Persistent link: https://www.econbiz.de/10011112725