Titlebook: Collective Online Platforms for Financial and Environmental Awareness; First International Anna Satsiou,Georgios Panos,Hai-Ying Liu Confer

cessation

書目名稱Collective Online Platforms for Financial and Environmental Awareness影響因子(影響力)




書目名稱Collective Online Platforms for Financial and Environmental Awareness影響因子(影響力)學科排名




書目名稱Collective Online Platforms for Financial and Environmental Awareness網(wǎng)絡公開度




書目名稱Collective Online Platforms for Financial and Environmental Awareness網(wǎng)絡公開度學科排名




書目名稱Collective Online Platforms for Financial and Environmental Awareness被引頻次




書目名稱Collective Online Platforms for Financial and Environmental Awareness被引頻次學科排名




書目名稱Collective Online Platforms for Financial and Environmental Awareness年度引用




書目名稱Collective Online Platforms for Financial and Environmental Awareness年度引用學科排名




書目名稱Collective Online Platforms for Financial and Environmental Awareness讀者反饋




書目名稱Collective Online Platforms for Financial and Environmental Awareness讀者反饋學科排名

Harpoon

即席演說

旅行路線

輕率看法

reject

Predicting Euro Stock Marketsmake use of industrial portfolios constructed in the spirit of Fama and French. Furthermore, we augment the forecasting models with macroeconomic variables. Finally, we construct a new sentiment index based on the news for Oil prices. Results show, that the out-of-sample forecasting accuracy approximates 80%.

reject

0302-9743 ully reviewed and selected from 13 submissions. The papers of the two workshops although targeting different goals aim at developing platforms promoting awareness on different but critical sustainability issues.?.978-3-319-50236-6978-3-319-50237-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

CRUMB

R. E. Wilson,H. Raichur,B. Paulmographic groups and user groups, i.e., in terms of familiarity and requirements. The results indicate that there is a strong existing need in the market for online financial information and awareness development with online tools.

critique

蜿蜒而流

J. H. Carver,A. D. Mitchell,M. D. Watersiverse sources of large datasets of open air quality data, and crowdsourced information on the perception of app users about the current air quality. An empirical model will be also applied for the provision of air quality forecasts.