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We use frequency-domain techniques, namely wavelets and cross-spectra, to examine the association between the daily prices of crude oil futures and daily S&P500 futures closing prices over the past several decades. We investigate contemporaneous and lag-lead relationships in levels and returns....
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The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …
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This paper investigates the conditional correlations and volatility spillovers between crude oil returns and stock … empirical results from the VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility spillovers between the …
Persistent link: https://www.econbiz.de/10013149274
The paper considers the problem as to whether financial returns have a common volatility process in the framework of … stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH … test proposed by Engle and Susmel (1993), who investigated whether international equity markets have a common volatility …
Persistent link: https://www.econbiz.de/10011441709
, from asset allocation to LIBOR Surveillance and cyber security.“FILTERING NOISE FROM VOLATILITY.” White Paper 5, dated …; and a demonstration that more than 30% of SP500 securities can have percentage change in volatility of more than 10% as a …
Persistent link: https://www.econbiz.de/10013062137
We study forward curves formed from commodity futures prices listed on the Standard and Poor's-Goldman Sachs Commodities Index (S&P GSCI) using recently developed tools in functional time series analysis. Functional tests for stationarity and serial correlation suggest that log-differenced...
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