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  • Search: subject:"Mixed data sampling"
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Year of publication
Subject
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Forecasting model 48 Prognoseverfahren 48 Mixed data sampling 35 Theorie 32 Theory 31 Sampling 30 Stichprobenerhebung 30 Schätzung 23 Volatility 23 Estimation 22 Volatilität 22 Regression analysis 18 Regressionsanalyse 18 ARCH model 17 ARCH-Modell 17 Time series analysis 17 Zeitreihenanalyse 17 Estimation theory 16 Schätztheorie 16 Aktienmarkt 13 Mixed Data Sampling 13 Stock market 13 mixed data sampling 12 USA 11 VAR model 11 VAR-Modell 11 Börsenkurs 10 Economic forecast 10 Mixed Data Sampling (MIDAS) 10 National income 10 Nationaleinkommen 10 United States 10 Wirtschaftsprognose 10 Share price 9 Capital income 8 Frühindikator 8 Kapitaleinkommen 8 Mixed-data sampling 8 Nowcasting 8 China 7
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Online availability
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Undetermined 61 Free 57 CC license 4
Type of publication
All
Article 76 Book / Working Paper 49
Type of publication (narrower categories)
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Article in journal 68 Aufsatz in Zeitschrift 68 Working Paper 30 Graue Literatur 23 Non-commercial literature 23 Arbeitspapier 21 Article 2 Aufsatz im Buch 1 Book section 1 Konferenzschrift 1
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Language
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English 108 Undetermined 13 German 3 Spanish 1
Author
All
Foroni, Claudia 9 Ghysels, Eric 9 Schumacher, Christian 8 Walther, Thomas 8 Klein, Tony 7 Ravazzolo, Francesco 6 Marcellino, Massimiliano 5 Miller, J. Isaac 5 Motegi, Kaiji 5 Hill, Jonathan B. 4 Jiang, Cuixia 4 Valadkhani, Abbas 4 Xu, Qifa 4 Aastveit, Knut Are 3 Audrino, Francesco 3 Bouri, Elie 3 Golosnoy, Vasyl 3 Gribisch, Bastian 3 Javed, Farrukh 3 Liesenfeld, Roman 3 Nguyen, Duc Khuong 3 Wu, Xinyu 3 Yang, Lixiong 3 Andreani, Mila 2 Asgharian, Hossein 2 Asimakopoulos, Panagiotis 2 Asimakopoulos, Stylianos 2 Candila, Vincenzo 2 Casarin, Roberto 2 Charfeddine, Lanouar 2 Chen, Qiang 2 Chikamatsu, Kyosuke 2 Deschamps, Bruno 2 Dudda, Tom L. 2 Fendoglu, Salih 2 Ferrara, Laurent 2 Fezzi, Carlo 2 Fladung, Michael 2 Fortin, Ines 2 Galdi, Giulio 2
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Institution
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Deutsche Bundesbank 3 Economics Department, University of Missouri 3 C.E.P.R. Discussion Papers 2 Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Centre for Applied Macro- and Petroleum economics (CAMP), BI Handelshøyskolen 1 East Asian Bureau of Economic Research (EABER) 1 Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel 1 Knut Wicksells centrum för finansvetenskap, Ekonomihögskolan 1 Norges Bank 1 School of Economics and Political Science, Universität St. Gallen 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
All
International review of economics & finance : IREF 5 International journal of forecasting 4 Journal of forecasting 4 Energy economics 3 Journal of econometrics 3 QMS Research Paper 3 The energy journal 3 Working Papers / Economics Department, University of Missouri 3 Applied economics 2 Applied economics letters 2 BOFIT discussion papers 2 CEPR Discussion Papers 2 DIW Wochenbericht 2 Discussion Paper Series 1 2 Discussion Paper Series 1: Economic Studies 2 Discussion paper / Centre for Economic Policy Research 2 Economic modelling 2 Empirical economics : a quarterly journal of the Institute for Advanced Studies 2 Finance research letters 2 International review of financial analysis 2 Journal of financial and quantitative analysis : JFQA 2 Journal of risk 2 The North American journal of economics and finance : a journal of financial economics studies 2 Working paper / Norges Bank 2 Working papers on finance 2 BOK working paper 1 Bank of Japan working paper series 1 Bundesbank Discussion Paper 1 CAMA working paper series 1 CIRANO Working Papers 1 CORE discussion papers : DP 1 Computational Statistics & Data Analysis 1 Czech Economic Review 1 DEM working papers 1 Department of Economics working paper series 1 Digital finance : smart data analytics, investment innovation, and financial technology 1 Discussion Papers / Deutsche Bundesbank 1 Discussion paper 1 Econometric reviews 1 Economics Letters 1
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Source
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ECONIS (ZBW) 93 RePEc 21 EconStor 11
Showing 41 - 50 of 125
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Economic drivers of volatility and correlation in precious metal markets
Theu Dinh; Goutte, Stéphane; Nguyen, Duc Khuong; … - In: Journal of commodity markets 28 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10014335244
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Forecasting expected shortfall and value at risk with a joint elicitable mixed data sampling model
Xu, Qifa; Chen, Lu; Jiang, Cuixia; Liu, Yezheng - In: Journal of forecasting 41 (2022) 3, pp. 407-421
Persistent link: https://www.econbiz.de/10013166148
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Modeling and managing stock market volatility using MRS-MIDAS model
Chen, Wang; Lu, Xinjie; Wang, Jiqian - In: International review of economics & finance : IREF 82 (2022), pp. 625-635
Persistent link: https://www.econbiz.de/10013545774
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Exogenous Drivers of Bitcoin and Cryptocurrency Volatility – A Mixed Data Sampling Approach to Forecasting
Walther, Thomas; Klein, Tony; Bouri, Elie - 2018
We apply the GARCH-MIDAS framework to forecast the daily, weekly, and monthly volatility of five highly capitalized Cryptocurrencies (Bitcoin, Etherium, Litecoin, Ripple, and Stellar) as well as the Cryptocurrency index CRIX. Based on the prediction quality, we determine the most important...
Persistent link: https://www.econbiz.de/10014284448
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Oil Price Changes and U.S. Real GDP Growth: Is this Time Different?
Charfeddine, Lanouar; Klein, Tony; Walther, Thomas - 2018
growth, when taking into consideration mixed data sampling technique. Finally, it puts particular focus on nonlinearity and a … possible instability and shows that combining Markov switching and mixed data sampling models allows to identify different …
Persistent link: https://www.econbiz.de/10014284449
Saved in:
Cover Image
Exogenous drivers of cryptocurrency volatility : a mixed data sampling approach to forecasting
Walther, Thomas; Klein, Tony - 2018
We apply the GARCH-MIDAS framework to forecast the daily, weekly, and monthly volatility of five highly capitalized Cryptocurrencies (Bitcoin, Etherium, Litecoin, Ripple, and Stellar) as well as the Cryptocurrency index CRIX. Based on the prediction quality, we determine the most important...
Persistent link: https://www.econbiz.de/10011906495
Saved in:
Cover Image
Oil price changes and U.S. real GDP growth : is this time different?
Charfeddine, Lanouar; Klein, Tony; Walther, Thomas - 2018
growth, when taking into consideration mixed data sampling technique. Finally, it puts particular focus on nonlinearity and a … possible instability and shows that combining Markov switching and mixed data sampling models allows to identify different …
Persistent link: https://www.econbiz.de/10011906502
Saved in:
Cover Image
Nowcasting Japanese GDPs
Chikamatsu, Kyosuke; Hirakata, Naohisa; Kido, Yosuke; … - 2018
Persistent link: https://www.econbiz.de/10012181316
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Mixed-frequency approaches to nowcasting GDP : an application to Japan
Chikamatsu, Kyosuke; Hirakata, Naohisa; Kido, Yosuke; … - In: Japan and the world economy : international journal of … 57 (2021), pp. 1-12
Persistent link: https://www.econbiz.de/10012888153
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Dynamic panels with MIDAS covariates : nonlinearity, estimation and fit
Khalaf, Lynda; Kichian, Maral; Saunders, Charles J.; … - In: Journal of econometrics 220 (2021) 2, pp. 589-605
Persistent link: https://www.econbiz.de/10012618569
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