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  • Search: subject:"Directional forecasting"
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Year of publication
Subject
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Forecasting model 3 Prognoseverfahren 3 Directional forecasting 2 Forecast 2 Michigan Surveys of Consumers 2 Prognose 2 USA 2 United States 2 directional forecasting 2 predictive information content 2 term structure 2 Absolute returns 1 Asymmetric information 1 Asymmetric loss 1 Asymmetrische Information 1 Benzin 1 Benzinpreis 1 Cluster Analysis 1 Cluster analysis 1 Clusteranalyse 1 Consumer behaviour 1 Copulas 1 Deutschland 1 Directional Forecasting 1 Energiemarkt 1 Energiepreis 1 Energy market 1 Energy price 1 Energy prices 1 Filling station 1 Frühindikator 1 Gasoline 1 Gasoline price 1 Germany 1 Gold 1 Gold standard 1 Goldstandard 1 Hypothek 1 Joint predictive distribution 1 Konsumentenverhalten 1
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Online availability
All
Free 3 Undetermined 2
Type of publication
All
Article 4 Book / Working Paper 1
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2 Article 1 Aufsatz im Buch 1 Book section 1
Language
All
English 5
Author
All
Baghestani, Hamid 3 Anatolyev, Stanislav 1 Bley, Jorg 1 Gospodinov, Nikolay 1 Malliaris, Anastasios G. 1 Malliaris, Mary E. 1
Institution
All
Center for Economic and Financial Research (CEFIR), New Economic School (NES) 1
Published in...
All
Cogent Economics & Finance 1 Cogent economics & finance 1 Handbook of recent advances in commodity and financial modeling : quantitative methods in banking, finance, insurance, energy and commodity markets 1 Journal of economics and finance : JEF 1 Working Papers / Center for Economic and Financial Research (CEFIR), New Economic School (NES) 1
Source
All
ECONIS (ZBW) 3 EconStor 1 RePEc 1
Showing 1 - 5 of 5
Cover Image
Do US consumer survey data help beat the random walk in forecasting mortgage rates?
Baghestani, Hamid - In: Cogent economics & finance 5 (2017) 1, pp. 1-11
In line with term structure theory, empirical studies suggest that it is difficult to beat the random walk in forecasting long-term interest rates. We ask whether consumer survey data on both mortgage interest rates and expected inflation help beat the random walk in forecasting the 30-year...
Persistent link: https://www.econbiz.de/10011881588
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Cover Image
Do US consumer survey data help beat the random walk in forecasting mortgage rates?
Baghestani, Hamid - In: Cogent Economics & Finance 5 (2017) 1, pp. 1-11
In line with term structure theory, empirical studies suggest that it is difficult to beat the random walk in forecasting long-term interest rates. We ask whether consumer survey data on both mortgage interest rates and expected inflation help beat the random walk in forecasting the 30-year...
Persistent link: https://www.econbiz.de/10011988765
Saved in:
Cover Image
Do directional predictions of US gasoline prices reveal asymmetries?
Baghestani, Hamid; Bley, Jorg - In: Journal of economics and finance : JEF 44 (2020) 2, pp. 348-360
Persistent link: https://www.econbiz.de/10012227262
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Cover Image
Directional returns for gold and silver : a cluster analysis approach
Malliaris, Anastasios G.; Malliaris, Mary E. - In: Handbook of recent advances in commodity and financial …, (pp. 3-16). 2018
Persistent link: https://www.econbiz.de/10011898586
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Cover Image
Modeling Financial Return Dynamics by Decomposition
Anatolyev, Stanislav; Gospodinov, Nikolay - Center for Economic and Financial Research (CEFIR), New … - 2007
While the predictability of excess stock returns is statistically small, their sign and volatility exhibit a substantially larger degree of dependence over time. We capitalize on this observation and consider prediction of excess stock returns by decomposing the equity premium into a product of...
Persistent link: https://www.econbiz.de/10005146504
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