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data ; long memory ; volatility persistence ; structural breaks …
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This paper analyses the long-memory properties of high frequency financial time series. It focuses on temporal aggregation and the influence that this might have on the degree of dependence of the series. Fractional integration or I(d) models are estimated with a variety of specifications for...
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. -- 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
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 …
Persistent link: https://www.econbiz.de/10014543455