Search Results - subject:"Machine Learning methods"

Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany

Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2024

We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual products, product groups, and headline inflation. At...

Persistent link: https://www.econbiz.de/10014543640

Nowcasting consumer price inflation using high-frequency scanner data : evidence from Germany

Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2024

Persistent link: https://www.econbiz.de/10014527067

Consideration of the possibilities of applying machine learning methods for data analysis when promoting services to bank's clients

Bulhakova, Olha; Ulianovska, Yuliia; Kostenko, Victoria; … - In: Technology audit and production reserves 4 (2022) 2/66, pp. 14-18

Persistent link: https://www.econbiz.de/10013459326

Counterfactual reconciliation : incorporating aggregation constraints for more accurate causal effect estimates

Cengiz, Doruk; Tekgüç, Hasan - In: International journal of forecasting 40 (2024) 2, pp. 564-580

Persistent link: https://www.econbiz.de/10014547183

The impact of renewable energy on inflation in G7 economies : evidence from artificial neural networks and machine learning methods

Zhang, Long; Padhan, Hemachandra; Singh, Sanjay Kumar; … - In: Energy economics 136 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10015046686

Bridging the gap between pricing and reserving with an occurrence and development model for non-life insurance claims

Crevecoeur, Jonas; Antonio, Katrien; Desmedt, Stijn; … - In: ASTIN bulletin : the journal of the International … 53 (2023) 2, pp. 185-212

Persistent link: https://www.econbiz.de/10014320190

Bond rating determinants and modeling : evidence from India

Sehgal, Sanjay; Vasishth, Vibhuti; Agrawal, Tarunika Jain - In: Managerial finance 49 (2023) 3, pp. 529-554

Persistent link: https://www.econbiz.de/10014227229

Distributional aspects of microcredit expansions

Christiansen, Tobias G.; Weeks, Melvyn - 2020

Persistent link: https://www.econbiz.de/10013206331

Comparing the accuracy of several network-based COVID-19 prediction algorithms

Achterberg, Massimo A.; Prasse, Bastian; Ma, Long; … - In: International journal of forecasting 38 (2022) 2, pp. 489-504

Persistent link: https://www.econbiz.de/10013348612

Completing the market : generating shadow CDS spreads by machine learning

Hu, Nan; Li, Jian; Meyer Cirkel, Alexis - 2019

ensemble machine learning methods (Bagging, Gradient Boosting and Random Forest) strongly outperform other estimators, and …-of-sample prediction accuracy. The results suggest that the non-linear machine learning methods, especially the ensemble methods, add …

Persistent link: https://www.econbiz.de/10012155143