http://bura.brunel.ac.uk/handle/2438/13030 Sun, 12 Apr 2026 15:49:44 GMT 2026-04-12T15:49:44Z http://bura.brunel.ac.uk/handle/2438/33119 Title: Connectedness Spillover Matrices : a Tool for Diversification Authors: González Cortés, D; Nandy, M; Lodh, S Abstract: ... Description: ... Thu, 01 Jan 2026 00:00:00 GMT http://bura.brunel.ac.uk/handle/2438/33119 2026-01-01T00:00:00Z http://bura.brunel.ac.uk/handle/2438/33118 Title: Predicting Cryptocurrency Prices during Economic Uncertainty with Explainable Artificial Intelligence Authors: González Cortés, D; Nandy, M; Lodh, S; Senyo, PK; Wu, J; Onieva, E Abstract: ... Description: ... Thu, 01 Jan 2026 00:00:00 GMT http://bura.brunel.ac.uk/handle/2438/33118 2026-01-01T00:00:00Z http://bura.brunel.ac.uk/handle/2438/33004 Title: GDP Revisions are Not Cool: The Impact of Statistical Agencies’ Trade-Off Authors: Asimakopoulos, S; Lalik, M; Paredes, J; García, JS Abstract: Official estimates of economic growth are regularly revised and therefore forecasts for GDP growth are done on the basis of ever-changing data. The economic literature has intensively studied the properties of those revisions and their implications for forecasting models. However, it is much less known about the reasons for Statistical Agencies (SAs) to revise their estimates. In order to be timely and reliable, SAs have an explicit interest in not revising their initial GDP estimates too much, while they are much more open to revise GDP components over time. More than a curiosity, we exploit this resulting cross-correlation of GDP components revisions to build a model to better forecast GDP. Description: JEL Classification: C01, C82, E01.; A working paper version of the article is available at ECB (https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2857~073085df17.en.pdf) and at SSRN (Asimakopoulos, Stylianos and Lalik, Magdalena and Paredes, Joan and García, José Salvado, GDP Revisions are Not Cool: The Impact of Statistical Agencies’ Trade-Off (October, 2023). ECB Working Paper No. 2023/2857, Available at SSRN: https://ssrn.com/abstract=4618392 or http://dx.doi.org/10.2139/ssrn.4618392). It has not been certified by peer review. Thu, 01 Jan 2026 00:00:00 GMT http://bura.brunel.ac.uk/handle/2438/33004 2026-01-01T00:00:00Z http://bura.brunel.ac.uk/handle/2438/32965 Title: Network Effects in Corporate Emissions: Evidence from a Data-Dependent Spatial Panel Model Authors: Asimakopoulos, S; Kapetanios, G; Sarafidis, V; Ventouri, A Abstract: ... Description: A preprint version of the article is available at arXiv:2602.21434v1 [econ.GN] (https://arxiv.org/abs/2602.21434). It has not been certified by peer review. Thu, 01 Jan 2026 00:00:00 GMT http://bura.brunel.ac.uk/handle/2438/32965 2026-01-01T00:00:00Z