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Using four years of second-by-second executed trade data, we study the intraday effects of a representative group of scheduled economic releases on three exchange rates: EUR/$, JPY/$ and GBP/$. Using wavelets to analyze volatility behavior, we empirically show that intraday volatility clusters...
Persistent link: https://www.econbiz.de/10010301730
This paper analyses the possible effects of the Covid-19 pandemic on the degree of persistence of US monthly stock prices and bond yields using fractional integration techniques. The model is estimated first over the period January 1966-December 2020 and then a recursive approach is taken to...
Persistent link: https://www.econbiz.de/10012494826
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Persistent link: https://www.econbiz.de/10014249042
This paper analyses persistence and non-linearities in quarterly and monthly US Treasury 10-year bond yields over the period 1962-2021 using two different fractional integration approaches including Chebyshev polynomials and Fourier functions respectively. The results for both quarterly and...
Persistent link: https://www.econbiz.de/10013306037
Persistent link: https://www.econbiz.de/10001671019
This paper focuses on nominal exchange rates, specifically the US dollar rate vis-à-vis the Euro and the Japanese Yen …-memory cyclical model and a standard I(1) model seem to be the most appropriate for the US dollar rate vis-à-vis the Euro and the …
Persistent link: https://www.econbiz.de/10013004546
This paper focuses on nominal exchange rates, specifically the US dollar rate vis-à-vis the Euro and the Japanese Yen … dollar rate vis-à-vis the Euro and the Japanese Yen respectively …
Persistent link: https://www.econbiz.de/10013144331
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/10009736739
This paper analyses co-movement between Bitcoin exchanges in 34 major countries around the world and the US (the global benchmark) over the period January 24, 2011 - January 7, 2019. More specifically, we run IV regressions to investigate the importance of cultural factors (such as tightness,...
Persistent link: https://www.econbiz.de/10012158101