Quantifying volatility clustering in financial time series
Year of publication: |
2012
|
---|---|
Authors: | Tseng, Jie-jun ; Li, Sai-ping |
Published in: |
International review of financial analysis. - Amsterdam [u.a.] : Elsevier, ISSN 1057-5219, ZDB-ID 1133622-5. - Vol. 23.2012, p. 11-19
|
Subject: | Econophysics | Volatility clustering | Financial stylized facts | Volatilität | Volatility | Zeitreihenanalyse | Time series analysis | Finanzmarkt | Financial market | Theorie | Theory | Marktmikrostruktur | Market microstructure | Ökonophysik | ARCH-Modell | ARCH model | Börsenkurs | Share price |
-
Multifractal models, intertrade durations and return volatility
Segnon, Mawuli, (2015)
-
Duță, Violeta, (2018)
-
Verma, Anshul, (2019)
- More ...
-
PREDICTION OF BIRD FLU A(H5N1) OUTBREAKS IN TAIWAN BY ONLINE AUCTION: EXPERIMENTAL RESULTS
WANG, SUN-CHONG, (2006)
-
Quantifying volatility clustering in financial time series
Tseng, Jie-Jun, (2012)
-
EMERGENCE OF SCALE-FREE NETWORKS IN MARKETS
TSENG, JIE-JUN, (2009)
- More ...