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price volatility. To address this issue, we find a phenomenon, "momentum of jumps" (MoJ), that the predictive ability of the … jump component is persistent when forecasting the oil futures market volatility. Specifically, we propose a strategy that … according to their recent past forecasting performance. The volatility data are based on the intraday prices of West Texas …
Persistent link: https://www.econbiz.de/10013272635
Realized covariance models specify the conditional expectation of a realized covariance matrix as a function of past realized covariance matrices through a GARCH-type structure. We compare the forecasting performance of several such models in terms of economic value, measured through economic...
Persistent link: https://www.econbiz.de/10014434629
This paper minimizes the risk of Brent oil in a multivariate portfolio, with three risk-minimizing goals: variance, parametric value-at-risk (VaR), and semiparametric value-at-risk. Brent oil is combined with five emerging ASEAN (Association of Southeast Asian Nations) stock indexes and five...
Persistent link: https://www.econbiz.de/10014305873
The paper examines the volatility predictive ability of the CBOE crude oil volatility index (OVX), GARCH and Stochastic … Volatility Models in the crude oil market. Specifically, the dynamics of two major crude oil pricing benchmarks - Brent in Europe … and WTI in America are compared. OVX index is able to provide the optimal forecast for the volatility of Brent's future …
Persistent link: https://www.econbiz.de/10014574074
volatility for estimating conditional variances and covariances; (2) alternative currencies; and (3) alternative maturities of … Chang et al. [17], we estimate four multivariate volatility models (namely CCC, VARMA-AGARCH, DCC and BEKK), and calculate …
Persistent link: https://www.econbiz.de/10013113663
This paper studies a discrete-time portfolio optimization problem, wherein the underlying risky asset follows a Lévy GARCH model. Besides a Gaussian noise, the framework allows for various jump increments, including infinite-activity jumps. Using a dynamic programming approach and exploiting...
Persistent link: https://www.econbiz.de/10015372635
prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …
Persistent link: https://www.econbiz.de/10010461231
Persistent link: https://www.econbiz.de/10001575075
This study compares the efficacy of Black–Scholes implied volatility (BSIV) with model-free implied volatility (MFIV …) in providing volatility forecasts for 13 North American, European, and Asian stock market indexes: S&P 500 (United States … Kingdom). In-sample volatility forecasts show that both BSIV and MFIV significantly improve the fit of a GJR-GARCH(1,1) model …
Persistent link: https://www.econbiz.de/10012905621
Nowadays, modeling and forecasting the volatility of stock markets have become central to the practice of risk … to forecast the volatility of the Moroccan stock-market index MADEX. We use daily returns covering the period between 01 …, as well as leading to a better understanding of the Moroccan stock-exchange volatility dynamics, especially with the lack …
Persistent link: https://www.econbiz.de/10012023967