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Single-index-based CoVaR with very high-dimensional covariates
Fan, Yan; Härdle, Wolfgang; Wang, Weining; Zhu, Lixing - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 2, pp. 212-226
Persistent link: https://www.econbiz.de/10011894611
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TENET : Tail-Event driven NETwork risk
Härdle, Wolfgang; Sirotko-Sibirskaya, Natalia; Wang, … - 2014
We propose a semiparametric measure to estimate systemic interconnectedness across financial institutions based on tail-driven spill-over effects in a ultra-high dimensional framework. Methodologically, we employ a variable selection technique in a time series setting in the context of a...
Persistent link: https://www.econbiz.de/10010428185
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TENET : Tail-Event driven NETwork risk
Härdle, Wolfgang; Wang, Weining; Yu, Lining - In: Journal of econometrics 192 (2016) 2, pp. 499-513
Persistent link: https://www.econbiz.de/10011704738
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Regression quantiles under heteroscedasticity and multicollinearity : analysis of travel and tourism competitiveness
Kalina, Jan; Vašaničová, Petra; Litavcová, Eva - In: Ekonomický časopis : časopis pre ekonomickú … 67 (2019) 1, pp. 69-85
Persistent link: https://www.econbiz.de/10012149863
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LASSO-type penalization in the framework of generalized additive models for location, scale and shape
Groll, Andreas; Hambuckers, Julien; Kneib, Thomas; … - 2018
options are provided: the conventional least absolute shrinkage and selection operator (LASSO) for metric covariates, and both … group and fused LASSO for categorical predictors. The methods are investigated both for simulated data and for two real data …
Persistent link: https://www.econbiz.de/10011899137
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Machine learning for regularized survey forecast combination : partially-egalitarian LASSO and its derivatives
Diebold, Francis X.; Shin, Minchul - In: International journal of forecasting 35 (2019) 4, pp. 1679-1691
Persistent link: https://www.econbiz.de/10012305515
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Insolvenzprognose für ukrainische, deutsche sowie nordamerikanische Unternehmen
Perederiy, Volodymyr - 2010
Kennzahlen.Die zweite Methode verwendet das innovative statistische Lasso-Verfahren zur Kennzahlenauswahl im Rahmen eines … Insolvenzprognosemodells für US-amerikanische Grossunternehmen. Lasso ist ein neues vielversprechendes Verfahren zur Auswahl erklärender … weitere erklärende Variablen für Insolvenzprognose zu verwenden.Das Lasso-Verfahren wurde auch bei diesen Untersuchungen mit …
Persistent link: https://www.econbiz.de/10009460748
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Short-term Covid-19 forecast for latecomers
Medeiros, Marcelo C.; Street, Alexandre; Valladão, Davi; … - 2021
time after others. In particular, we propose a penalized (LASSO) regression with an error correction mechanism to construct …
Persistent link: https://www.econbiz.de/10012817060
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Time-varying Lasso
Kapetanios, George; Zikes, Filip - In: Economics letters 169 (2018), pp. 1-6
Persistent link: https://www.econbiz.de/10012019554
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Day-ahead electricity price forecasting with high-dimensional structures : univariate vs. multivariate modeling frameworks
Ziel, Florian; Weron, Rafał - In: Energy economics 70 (2018), pp. 396-420
Persistent link: https://www.econbiz.de/10011942844