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On the economic significance of stock return predictability

Cederburg, Scott; Johnson, Travis L.; O'Doherty, Michael - In: Review of finance : journal of the European Finance … 27 (2023) 2, pp. 619-657

Persistent link: https://www.econbiz.de/10014317955

Forecasted treatment effects

Botosaru, Irene; Giacomini, Raffaella; Weidner, Martin - 2023

the focus should be on forecast unbiasedness rather than accuracy. Correct specification of the forecasting model is not …

Persistent link: https://www.econbiz.de/10014335601

Forecasting growth-at-risk of the United States : housing price versus housing sentiment or attention

Cepni, Oguzhan; Gupta, Rangan; Pierdzioch, Christian - 2024

Persistent link: https://www.econbiz.de/10014483637

Assessing and comparing fixed-target forecasts of Arctic sea ice : glide charts for feature-engineered linear regression and machine learning models

Diebold, Francis X.; Göbel, Maximilian; Goulet … - In: Energy economics 124 (2023), pp. 1-10

Persistent link: https://www.econbiz.de/10014484054

A machine learning approach to predicting bicycle demand during the COVID-19 pandemic

Baumanis, Carolina; Hall, Jennifer; Machemehl, Randy - In: Research in transportation economics 100 (2023), pp. 1-13

Persistent link: https://www.econbiz.de/10014456400

Forecasting the stock risk premium : a new statistical constraint

Hao, Xianfeng; Wang, Yudong - In: Journal of forecasting 42 (2023) 7, pp. 1805-1822

Persistent link: https://www.econbiz.de/10014432771

Forecasting energy prices : quantile-based risk models

Apergēs, Nikolaos - In: Journal of forecasting 42 (2023) 1, pp. 17-33

Persistent link: https://www.econbiz.de/10013465758

Forecasting the conditional distribution of realized volatility of oil price returns : the role of skewness over 1859 to 2023

Gupta, Rangan; Ji, Qiang; Pierdzioch, Christian; … - 2023

Persistent link: https://www.econbiz.de/10014304985

Forecasting residential electric power consumption for Bogotá Colombia using regression models

Peña-Guzmán, Carlos; Rey, Juliana - In: Energy reports 6 (2020) 1, pp. 561-566

This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm...

Persistent link: https://www.econbiz.de/10012177360

Nowcasting mit Internet-Suchmaschinen : fragen wir Google!

Schmidl, Matthias - 2015 - 1. Aufl

Persistent link: https://www.econbiz.de/10011398082