Modelling Foreign Exchange Realized Volatility Using High Frequency Data : Long Memory Versus Structural Breaks
In this study, we model realized volatility constructed from intraday high-frequency data. We explore the possibility of confusing long memory and structural breaks in the realized volatility of the following spot exchange rates: EUR/USD, EUR/JPY, EUR/CHF, EUR/GBP, and EUR/AUD. The results show evidence for the presence of long memory in the exchange rates' realized volatility. From the Bai – Perron test, we found structural breakpoints that match significant events in financial markets. Furthermore, the findings provide strong evidence in favour of the presence of long memory
Year of publication: |
2019
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Authors: | Maatoug, Abderazak Ben |
Other Persons: | Lamouchi, Rim Ammar (contributor) ; Davidson, Russell (contributor) ; Fatnassi, Ibrahim (contributor) |
Publisher: |
[2019]: [S.l.] : SSRN |
Subject: | Volatilität | Volatility | Strukturbruch | Structural break | Wechselkurs | Exchange rate | Zeitreihenanalyse | Time series analysis | US-Dollar | US dollar | Schätztheorie | Estimation theory | Prognoseverfahren | Forecasting model |
Description of contents: | Abstract [papers.ssrn.com] |
Saved in:
Extent: | 1 Online-Ressource |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 9, 2018 erstellt Volltext nicht verfügbar |
Classification: | C22 - Time-Series Models ; C32 - Time-Series Models ; c58 ; F31 - Foreign Exchange ; G15 - International Financial Markets |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012900291