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. -- High frequency data ; long memory ; volatility persistence ; structural breaks …
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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
conditional volatility association of gold, crude oil and yield (or IR) on the ER (the price of US$ in Indian rupee). The daily … theories of market connectivity. The results are as expected (from the previous literature) for conditional volatility, whereas … findings regarding volatility spillover effects (VSE) and are surprising. The findings of the study imply the separation of …
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volatility property and the structural break appear to be the common intrigue features of the exchange rates in the two periods … by using the FIGARCH model. In particular, the long memory volatility properties in the two periods are found to be …-FIGARCH model to consider the long memory volatility property and the structural breaks jointly. The main finding is that the …
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