Multifractal models, intertrade durations and return volatility
Year of publication: |
2015
|
---|---|
Authors: | Segnon, Mawuli |
Other Persons: | Lux, Thomas (degree supervisor) |
Subject: | Finanzmarktökonometrie | Financial econometrics | Ökonophysik | Econophysics | Zeitreihenanalyse | Time series analysis | Statistische Bestandsanalyse | Duration analysis | Finanzmarkt | Financial market | Marktmikrostruktur | Market microstructure | Volatilität | Volatility | Prognoseverfahren | Forecasting model | Schätzung | Estimation | Prognose | Forecast | Ölpreis | Oil price | Welt | World | Börsenkurs | Share price | USA | United States | Ökonometrie | Kapitalmarktforschung |
Description of contents: | Table of Contents [gbv.de] |
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Quantifying volatility clustering in financial time series
Tseng, Jie-jun, (2012)
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Tail risk and long memory in financial markets
Nguyen, Duc Binh Benno, (2018)
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Ranking of US macroeconomic news impacting WTI crude oil volatility risk
Faseli, Omid, (2019)
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Modeling and forecasting crude oil price volatility: Evidence from historical and recent data
Lux, Thomas, (2015)
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Multifractal Models in Finance: Their Origin, Propterties, and Applications
Segnon, Mawuli, (2013)
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Segnon, Mawuli, (2015)
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