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  • Search: subject:"mixed data sampling regression model"
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Year of publication
Subject
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Conditional volatility forecasting 2 Mixed Data Sampling regression model 2 Cluster analysis 1 Clusteranalyse 1 Clustering 1 Emerging Markets 1 Emerging markets 1 Estimation theory 1 Panel 1 Panel study 1 Regional cluster 1 Regionales Cluster 1 Regression analysis 1 Regressionsanalyse 1 Sampling 1 Schätztheorie 1 Stichprobenerhebung 1 forecasting 1 mixed data sampling regression model 1 panel data 1 penalized regression 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Book / Working Paper 2 Article 1
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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Undetermined 2 English 1
Author
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Fendoglu, Salih 2 Saltoglu, Burak 2 Ahn, Hie Joo 1 Alper, C. Emre 1 Emre Alper, C. 1 Liu, Yun 1 Rho, Yeonwoo 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Economics Letters 1 Finance and economics discussion series 1 MPRA Paper 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Revealing cluster structures based on mixed sampling frequencies
Rho, Yeonwoo; Liu, Yun; Ahn, Hie Joo - 2020
Persistent link: https://www.econbiz.de/10012389465
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Forecasting Stock Market Volatilities Using MIDAS Regressions: An Application to the Emerging Markets
Alper, C. Emre; Fendoglu, Salih; Saltoglu, Burak - Volkswirtschaftliche Fakultät, … - 2008
We explore the relative weekly stock market volatility forecasting performance of the linear univariate MIDAS regression model based on squared daily returns vis-a-vis the benchmark model of GARCH(1,1) for a set of four developed and ten emerging market economies. We first estimate the two...
Persistent link: https://www.econbiz.de/10005789569
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MIDAS volatility forecast performance under market stress: Evidence from emerging stock markets
Emre Alper, C.; Fendoglu, Salih; Saltoglu, Burak - In: Economics Letters 117 (2012) 2, pp. 528-532
This paper evaluates weekly out-of-sample volatility forecast performance of univariate Mixed Data Sampling (MIDAS) model compared to the benchmark model of GARCH(1,1) for ten emerging stock markets. The results show that the MIDAS model offers a statistically better forecasting precision during...
Persistent link: https://www.econbiz.de/10010580509
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