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the financial instruments in the portfolio and on the volatility of those returns. This task is relatively simple if the … correlations and volatilities do not change over time. But in reality both volatility and stock market indexes’ correlations do …
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volatility predictor, the results of an application to tactical asset allocation are presented. -- Multivariate GARCH ; forecast …
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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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best. Also, the volatility forecasts generated from multivariate time series models can be successfully converted into … higher portfolio returns using quantitative investment approaches if the right balance of volatility modelling and portfolio …
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measures of volatility in an exponential form, which guarantees the positivity of volatility without restrictions on parameters … and naturally allows the asymmetric effects. It provides a more flexible modelling of the volatility than the HEAVY models … of return volatility is driven by the realized measure, while the asymmetric effect is captured by the return shock (not …
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Ethanol has been the subject of intense debate following the adoption of the Energy Policy Act of 2005 (EPAct) which established that the gasoline supply in the United States (U.S.) must contain 10% ethanol. This work seeks to identify hedging ratios using dynamic multivariate GARCH to best...
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