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particularly interested in volatility modelling and forecasting given their importance for FOREX dealers. Compared with previous … ; volatility …
Persistent link: https://www.econbiz.de/10003931070
Persistent link: https://www.econbiz.de/10010257552
In this paper, we challenge the traditional assumption of a linear relationship between exchange rate volatility and … volatility positively and significantly influences economic growth when growth in government spending is below 6 percent. Above … this 6 percent threshold, volatility exerts an insignificant effect on economic growth. In light of the adoption of a free …
Persistent link: https://www.econbiz.de/10011870188
volatility (MSV) and the multivariate conditional correlation GARCH (CC-MGARCH) framework to investigate the volatility … major findings. First, the volatility in each market is very persistent. It varies over time in a predictable manner …, conditioned on the past information. Second, the volatility in the oil market Granger-causes the volatility in the FX markets but …
Persistent link: https://www.econbiz.de/10013131145
This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the sample period 2004-2016, as well as some...
Persistent link: https://www.econbiz.de/10011664417
This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the sample period 2004-2016, as well as some...
Persistent link: https://www.econbiz.de/10011669019
. -- High frequency data ; long memory ; volatility persistence ; structural breaks …
Persistent link: https://www.econbiz.de/10009735715
This paper analyses the long-memory properties of a high-frequency financial time series dataset. It focuses on temporal aggregation and other features of the data, and how they might affect the degree of dependence of the series. Fractional integration or I(d) models are estimated with a...
Persistent link: https://www.econbiz.de/10013082098
This paper analyses the long-memory properties of a high-frequency financial time series dataset. It focuses on temporal aggregation and other features of the data, and how they might affect the degree of dependence of the series. Fractional integration or I(d) models are estimated with a...
Persistent link: https://www.econbiz.de/10013082343
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