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Heteroscedasticity) volatility dynamics. DCS models are robust to extreme observations, whereas standard financial time series models are … observations, stochastic seasonality with dynamic amplitude, and volatility dynamics. These seasonality dynamics of the GTQ/USD are …
Persistent link: https://www.econbiz.de/10012033379
In this study, the performance of the Multifractal Model of Asset Returns (MMAR) was examined for stock index returns of four emerging markets. The MMAR, which takes into account stylized facts of financial time series, such as long memory, fat tails and trading time, was developed as an...
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's dynamic properties may lead to misestimation of the intraday spot volatility. …
Persistent link: https://www.econbiz.de/10011411344
In this paper we specify a multi-factor long-memory process that enables us to estimate the fractional differencing parameters at each frequency separately, and adopt this framework to model quarterly prices in three European countries (France, Italy and the UK). The empirical results suggest...
Persistent link: https://www.econbiz.de/10009421186
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In this paper, long memory behavior of the energy consumption by source of the United States has been examined using the fractional integration technique for the three conventional cases of no regressors, an intercept, and an intercept and a linear trend. In addition, this study extends majority...
Persistent link: https://www.econbiz.de/10012268193
-memory techniques, being particularly interested in volatility modelling and forecasting. Compared with previous studies using …
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