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The accuracy and informativeness of agricultural baselines

Bora, Siddhartha S.; Katchova, Ani L.; Kuethe, Todd H. - 2023

Persistent link: https://www.econbiz.de/10014364346

Density forecast comparison in small samples

Coroneo, Laura; Iacone, Fabrizio; Profumo, Fabio - 2022

Persistent link: https://www.econbiz.de/10014288024

Cross-sectional expected returns : new Fama-MacBeth regressions in the era of machine learning

Han, Yufeng; He, Ai; Rapach, David E.; Zhou, Guofu - In: Review of finance : journal of the European Finance … 28 (2024) 6, pp. 1807-1831

Persistent link: https://www.econbiz.de/10015357602

Survey density forecast comparison in small samples

Coroneo, Laura; Iacone, Fabrizio; Profumo, Fabio - In: International journal of forecasting 40 (2024) 4, pp. 1486-1504

Persistent link: https://www.econbiz.de/10015438430

Volatility forecasting using hybrid GARCH Neural Network models : the case of the Italian stock market

Kartsonakis Mademlis, Dimitrios; Dritsakis, Nikolaos - In: International journal of economics and financial issues … 11 (2021) 1, pp. 49-60

Persistent link: https://www.econbiz.de/10012436893

Application of bagging in day-ahead electricity price forecasting and factor augmentation

Özen, Kadir; Yıldırım, Dilem - 2021

Persistent link: https://www.econbiz.de/10013550327

Improving ERS net cash income forecasts using USDA agricultural baseline projections

Kuethe, Todd H.; Bora, Siddhartha; Katchova, Ani - In: Journal of agricultural and resource economics : JARE ; … 47 (2022) 2, pp. 246-261

Persistent link: https://www.econbiz.de/10013285437

Application of bagging in day-ahead electricity price forecasting and factor augmentation

Özen, Kadir; Yıldırım, Dilem - In: Energy economics 103 (2021), pp. 1-18

Persistent link: https://www.econbiz.de/10013363969

Forecasting and forecast narratives : the Bank of England Inflation Reports

Clements, Michael P.; Reade, J. James - In: International journal of forecasting 36 (2020) 4, pp. 1488-1500

Persistent link: https://www.econbiz.de/10012547039

Theoretical guidelines for a partially informed forecast examiner

Tsyplakov, Alexander - Volkswirtschaftliche Fakultät, … - 2014

The paper explores probability theory foundations behind evaluation of probabilistic forecasts. The emphasis is on a situation when the forecast examiner possesses only partially the information which was available and was used to produce a forecast. We argue that in such a situation forecasts...

Persistent link: https://www.econbiz.de/10011109328

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