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Do markets learn to rationally expect US interest rates? : an anchoring approach
Prat, Georges; Uctum, Remzi - In: Applied economics 50 (2018) 59, pp. 6458-6480
Persistent link: https://www.econbiz.de/10012063437
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Oil prices and UK industry-level stock returns
Xu, Bing - In: Applied economics 47 (2015) 25/27, pp. 2608-2627
Persistent link: https://www.econbiz.de/10010519651
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Idiosyncratic volatility and the cross-section of anomaly returns : is risk your ally?
Zaremba, Adam; Maydybura, Alina - In: Applied economics 51 (2019) 49, pp. 5388-5397
Persistent link: https://www.econbiz.de/10012197236
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QARMA-Beta-t-EGARCH versus ARMA-GARCH : an application to S & P 500
Blazsek, Szabolcs; Mendoza, Vicente - In: Applied economics 48 (2016) 10/12, pp. 1119-1129
Persistent link: https://www.econbiz.de/10011432926
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Forecasting house prices for the four census regions and the aggregate US economy in a data-rich environment
Gupta, Rangan - In: Applied economics 45 (2013) 31/33, pp. 4677-4697
Persistent link: https://www.econbiz.de/10010225005
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A further note on the three phases of US business cycle
Layton, Allan P.; Smith, Daniel R. - In: Applied economics 32 (2000) 9, pp. 1133-1143
Persistent link: https://www.econbiz.de/10001496452
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Divisia monetary aggregates and US GDP nowcasting
Tang, Biyan; Yemba, Boniface; Chang, Dongfeng - In: Applied economics 52 (2020) 32, pp. 3538-3554
Persistent link: https://www.econbiz.de/10012258954
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Forecasting US consumer price index : does nonlinearity matter?
Álvarez-Díaz, Marcos; Gupta, Rangan - In: Applied economics 48 (2016) 46/48, pp. 4462-4475
Persistent link: https://www.econbiz.de/10011640110
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Predicting French SME failures : new evidence from machine learning techniques
Schalck, Christophe; Yankol-Schalck, Meryem - In: Applied economics 53 (2021) 51, pp. 5948-5963
Persistent link: https://www.econbiz.de/10012627109
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The cross-section of Indian stock returns : evidence using machine learning
Lalwani, Vaibhav; Meshram, Vedprakash - In: Applied economics 54 (2022) 16, pp. 1814-1828
Persistent link: https://www.econbiz.de/10012875645