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  • Search: subject:"composite forecast"
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Year of publication
Subject
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Economic forecast 3 Forecast 3 Forecasting model 3 Prognose 3 Prognoseverfahren 3 Wirtschaftsprognose 3 composite forecast 3 Artificial intelligence 2 Composite forecast 2 Factor analysis 2 Faktorenanalyse 2 Frühindikator 2 Inflation 2 Japan 2 Künstliche Intelligenz 2 Leading indicator 2 Neural networks 2 Neuronale Netze 2 forecast evaluation 2 forecasting 2 Bagging 1 Bayes-Statistik 1 Bayesian 1 Bayesian inference 1 Bayesian model averaging 1 Big Data 1 Big data 1 Boosting 1 Cointegration 1 Composite forecast models 1 Composite-forecast or data-fusion 1 Consumer sentiment 1 Exchange rates 1 Lasso 1 Multivariate GARCH 1 Neural network 1 Option implied volatility 1 Random forests 1 Regression analysis 1 Regressionsanalyse 1
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Online availability
All
Free 5 Undetermined 2
Type of publication
All
Book / Working Paper 5 Article 2
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 5 Undetermined 2
Author
All
Jovanovic, Biljana 2 Maehashi, Kohei 2 Naumovski, Nikola 2 Petrovska, Magdalena 2 Ramadani, Gani 2 Shintani, Mototsugu 2 Benavides, Guillermo 1 Chua, Chew Lian 1 Tsiaplias, Sarantis 1 Álvarez, Alberto 1 Álvarez-Díaz, Marcos 1
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Institution
All
Banco de México 1 Melbourne Institute of Applied Economic and Social Research (MIAESR), Faculty of Business and Economics 1
Published in...
All
CIRJE discussion papers / F series 1 Empirical Economics 1 Journal of the Japanese and international economies : an international journal ; JJIE 1 Melbourne Institute Working Paper Series 1 Working Paper 1 Working Papers / Banco de México 1 Working paper 1
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Source
All
ECONIS (ZBW) 3 RePEc 3 EconStor 1
Showing 1 - 7 of 7
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Macroeconomic forecasting using factor models and machine learning : an application to Japan
Maehashi, Kohei; Shintani, Mototsugu - 2020
Persistent link: https://www.econbiz.de/10013329759
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Forecasting Macedonian Inflation: Evaluation of different models for short-term forecasting
Petrovska, Magdalena; Ramadani, Gani; Naumovski, Nikola; … - 2017
The primary goal of this paper is to describe several models that are currently used at the National Bank of the Republic of Macedonia (NBRM) for short-term forecasting of inflation - Autoregressive integrated moving average models (aggregated and disaggregated approach), three equation...
Persistent link: https://www.econbiz.de/10011785369
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Forecasting Macedonian inflation : evaluation of different models for short-term forecasting
Petrovska, Magdalena; Ramadani, Gani; Naumovski, Nikola; … - 2017
The primary goal of this paper is to describe several models that are currently used at the National Bank of the Republic of Macedonia (NBRM) for short-term forecasting of inflation - Autoregressive integrated moving average models (aggregated and disaggregated approach), three equation...
Persistent link: https://www.econbiz.de/10011717605
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Macroeconomic forecasting using factor models and machine learning : an application to Japan
Maehashi, Kohei; Shintani, Mototsugu - In: Journal of the Japanese and international economies : … 58 (2020), pp. 1-17
Persistent link: https://www.econbiz.de/10012654966
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Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?
Chua, Chew Lian; Tsiaplias, Sarantis - Melbourne Institute of Applied Economic and Social … - 2008
This paper examines whether the disaggregation of consumer sentiment data into its sub-components improves the real-time capacity to forecast GDP and consumption. A Bayesian error correction approach augmented with the consumer sentiment index and permutations of the consumer sentiment...
Persistent link: https://www.econbiz.de/10005264635
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Volatility Forecasts for the Mexican Peso - U.S. Dollar Exchange Rate: An Empirical Analysis of Garch, Option Implied and Composite Forecast Models
Benavides, Guillermo - Banco de México - 2006
), option implied volatilities, and a composite forecast model. The composite specification includes time-series (ARCH-type) and … found that estimates were statistically significantly different between composite forecast estimates and its counterparts …
Persistent link: https://www.econbiz.de/10004967922
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Genetic multi-model composite forecast for non-linear prediction of exchange rates
Álvarez-Díaz, Marcos; Álvarez, Alberto - In: Empirical Economics 30 (2005) 3, pp. 643-663
Persistent link: https://www.econbiz.de/10005382184
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