%0 Journal Article %1 journals/eor/WilmsGC16 %A Wilms, Ines %A Gelper, Sarah %A Croux, Christophe %D 2016 %J Eur. J. Oper. Res. %K dblp %N 1 %P 138-147 %T The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approach. %U http://dblp.uni-trier.de/db/journals/eor/eor254.html#WilmsGC16 %V 254

@article{journals/eor/WilmsGC16, added-at = {2022-10-02T00:00:00.000+0200}, author = {Wilms, Ines and Gelper, Sarah and Croux, Christophe}, biburl = {https://www.bibsonomy.org/bibtex/2ffb0af6ec5bc478274c6e7e24332ffd7/dblp}, ee = {https://doi.org/10.1016/j.ejor.2016.03.041}, interhash = {8a393771b2ca5a12b2ee27d0f42d58c3}, intrahash = {ffb0af6ec5bc478274c6e7e24332ffd7}, journal = {Eur. J. Oper. Res.}, keywords = {dblp}, number = 1, pages = {138-147}, timestamp = {2024-04-09T01:10:04.000+0200}, title = {The predictive power of the business and bank sentiment of firms: A high-dimensional Granger Causality approach.}, url = {http://dblp.uni-trier.de/db/journals/eor/eor254.html#WilmsGC16}, volume = 254, year = 2016 }