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Markov Switching GARCH models : filtering, approximations and duality
Billio, Monica; Cavicchioli, Maddalena - In: Mathematical and statistical methods for actuarial …, (pp. 59-72). 2017
Persistent link: https://www.econbiz.de/10012098763
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Mathematical models for the assessment of collapse in oil prices
Shera, Muhammad; Preda, Vasile - 2018
Persistent link: https://www.econbiz.de/10012302306
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Kurtosis-based projection pursuit for outlier detection in financial time series
Loperfido, Nicola - In: The European journal of finance 26 (2020) 2/3, pp. 142-164
Persistent link: https://www.econbiz.de/10012207191
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Time scale and fractionality in financial time series
Sproul, Thomas W. - In: Agricultural finance review 76 (2016) 1, pp. 76-93
Persistent link: https://www.econbiz.de/10011695555
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Heavy tail smooth and application to long-memory time series
Ciuiu, Daniel - 2016
Persistent link: https://www.econbiz.de/10013093350
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Spectral financial econometrics
Bandi, Federico M.; Tamoni, Andrea - In: Econometric theory 38 (2022) 6, pp. 1175-1220
Persistent link: https://www.econbiz.de/10013539327
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Oil risk and asset returns : evidence from emerging markets in the Middle East
Nikkinen, Jussi; Saleem, Kashif; Martikainen, Minna; … - In: Emerging markets finance & trade : a journal of the … 50 (2014), pp. 169-189
Persistent link: https://www.econbiz.de/10010465076
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Liquidity, surprise volume and return premia in the oil market
Batten, Jonathan A.; Kinateder, Harald; Szilágyi, Péter G. - In: Energy economics 77 (2019), pp. 93-104
Persistent link: https://www.econbiz.de/10012306351
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Cointegrated commodity markets and pricing of derivatives in a non-Gaussian framework
Benth, Fred Espen - In: Advanced modelling in mathematical finance : in honour …, (pp. 477-496). 2016
Persistent link: https://www.econbiz.de/10011800392
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Robust inference in time-varying structural VAR models : the DC-cholesky multivariate stochastic volatility model
Hartwig, Benny - 2020
This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....
Persistent link: https://www.econbiz.de/10012424283