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Risk-parameter estimation in volatility models
Francq, Christian; Zakoïan, Jean-Michel - In: Journal of econometrics 184 (2015) 1, pp. 158-173
Persistent link: https://www.econbiz.de/10011326796
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Asymmetric volatility effects in risk management: an empirical analysis using a stock index futures
Benavides, Guillermo - 2020
In this research paper ARCH-type models and option implied volatilities (IV) are applied in order to estimate the Value-at-Risk (VaR) of a stock index futures portfolio for several time horizons. The relevance of the asymmetries in the estimated volatility estimation is considered. The empirical...
Persistent link: https://www.econbiz.de/10012292347
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An empirical characterization of volatility dynamics in the DAX
Virla, Leonardo Quero - 2021
This paper addresses stock market volatility in Germany between 1991 and 2018. Through a GARCH model with leverage term …
Persistent link: https://www.econbiz.de/10012629944
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Political uncertainty and the thai stock market
Suthawan Prukumpai; Yuthana Sethapramote; Pongsak Luangaram - In: Southeast Asian journal of economics 10 (2022) 3, pp. 227-257
Persistent link: https://www.econbiz.de/10013492748
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Bidirectional volatility transmission between stocks and bond in East Asia : the quantile estimates based on wavelets
Živkov, Dejan; Kovačević, Jelena; Stankov, Biljana; … - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 27 (2023) 1, pp. 49-65
Persistent link: https://www.econbiz.de/10014288820
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Construction and backtesting of a multi-factor stress-scenario for the stock market
Boldyrev, Kirill; Andrianov, Dmitry; Ivliev, Sergey - In: Financial econometrics and empirical market microstructure, (pp. 37-45). 2015
Persistent link: https://www.econbiz.de/10011326724
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GARCH models, tail indexes and error distributions : an empirical investigation
Šopov, Boril; Horváth, Roman - 2015
heteroskedasticity (GARCH) models capture extreme events in stock market returns. We estimate Hill's tail indexes for individual S&P 500 … stock market returns ranging from 1995-2014 and compare these to the tail indexes produced by simulating GARCH models. Our … results suggest that actual and simulated values differ greatly for GARCH models with normal conditional distributions, which …
Persistent link: https://www.econbiz.de/10010529886
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Worldwide equity risk prediction
Ardia, David; Hoogerheide, Lennart F. - In: Applied economics letters 20 (2013) 13/15, pp. 1333-1339
Persistent link: https://www.econbiz.de/10010202894
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Time-varying mixture GARCH models and asymmetric volatility
Haas, Markus; Krause, Jochen; Paolella, Marc S.; … - In: The North American journal of economics and finance : a … 26 (2013), pp. 602-623
Persistent link: https://www.econbiz.de/10010370491
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Asymmetry with respect to the memory in stock market volatilities
Lönnbark, Carl - In: Empirical economics : a journal of the Institute for … 50 (2016) 4, pp. 1409-1419
Persistent link: https://www.econbiz.de/10011481716