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Score-driven models for realized volatility
Harvey, Andrew C.; Palumbo, Dario - 2019
Persistent link: https://www.econbiz.de/10012703124
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Heteroscedasticity testing after outlier removal
Berenguer-Rico, Vanessa; Wilms, Ines - In: Econometric reviews 40 (2021) 1, pp. 51-85
Persistent link: https://www.econbiz.de/10012483796
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Analysis of sectors on Nigeria stock market : evidence from correlation, serial correlation, and heteroscedasticity
Emenike, Kalu O. - In: Journal of contemporary economic and business issues 4 (2017) 2, pp. 21-36
, the paper analyzes the returns correlation, serial correlation and heteroscedasticity on the NSE All-share Index, Banking … conditional heteroscedasticity Lagrange multiplier (ARCHLM) techniques in conducting the empirical analysis. Descriptive …, estimates from the ARCHLM model provide evidence of heteroscedasticity in most of the sectors’ returns. Overall results from the …
Persistent link: https://www.econbiz.de/10011862130
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The relation between monetary policy and the stock market in Europe
Lütkepohl, Helmut; Netšunajev, Aleksei - In: Econometrics : open access journal 6 (2018) 3, pp. 1-14
restrictions for the structural shocks and also used (conditional) heteroscedasticity in the residuals for identification purposes …. Heteroscedasticity is modelled by a Markov-switching mechanism. We find a plausible identification scheme for stock market and monetary …
Persistent link: https://www.econbiz.de/10011887655
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Double AR model without intercept : an alternative to modeling nonstationarity and heteroscedasticity
Li, Dong; Shaojun, Guo; Zhu, Ke - In: Econometric reviews 38 (2019) 3, pp. 319-331
Persistent link: https://www.econbiz.de/10012181294
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Volatility forecasting : long memory, regime switching and heteroscedasticity
Ma, Feng; Lu, Xinjie; Yang, Ke; Zhang, Yaojie - In: Applied economics 51 (2019) 38, pp. 4151-4163
Persistent link: https://www.econbiz.de/10012196974
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Uncertainty across volatility regimes
Angelini, Giovanni; Bacchiocchi, Emanuele; Caggiano, … - 2017
We propose a new non-recursive identification scheme for uncertainty shocks, which exploits breaks in the unconditional volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in the empirical literature on uncertainty: (i) Does...
Persistent link: https://www.econbiz.de/10011778668
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Structural vector autoregressions with smooth transition in variances : the interaction between US monetary policy and the stock market
Lütkepohl, Helmut; NetŠunajev, Aleksei - 2014
In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a … standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance … used conventional identification schemes in this context are rejected by the data if heteroskedasticity is allowed for …
Persistent link: https://www.econbiz.de/10010361372
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Structural vector autoregressions : checking identifying long-run restrictions via heteroskedasticity
Lütkepohl, Helmut; Velinov, Anton - 2014
mechanism and multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models. Using changes in volatility …
Persistent link: https://www.econbiz.de/10010233639
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Structural vector autoregressions checking identifying long-run restrictions via heteroskedasticity
Lütkepohl, Helmut; Velinov, Anton - 2014
mechanism and multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models. Using changes in volatility …
Persistent link: https://www.econbiz.de/10010233991