Rubén Fernández-Casal
Biographic Data
| ID | 5797685 |
|---|---|
| NAME | Rubén Fernández-Casal |
| GIVEN NAMES | Rubén |
| FAMILY NAME | Fernández-Casal |
| SIGNATURE | FERNÁNDEZ-CASAL R |
| AFFILIATIONS | Universidade da Coruña |
| ORCID | 0000-0002-5785-3739 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A spatial statistical approach to estimate bus stop demand using GIS-processed data
This study integrates the fields of geography, urban transit planning, and statistical learning to develop a sophisticated methodology for predicting bus demand at the stop level. It uses a Generalized Additive Model that captures non-linear relationships and incorporates spatial dependence, improving traditional methods. It showcases a high predictive capacity with a pseudo R-squared of 0.79 during its validation, ensuring substantial explanator…
Financialization, confidence, and sovereign debt markets
This article analyzes the state–market nexus by examining the role played by sovereign credit default swap (CDS) derivative markets in the southern European debt crisis of 2010–2014. This nexus is conceived of as being part of a larger process of state financialization and, more specifically, of sovereign debt management. This article shows that the southern European debt crisis was triggered by the deterioration of fundamental macroeconomic vari…
No prominent works on this page.
Financialization, confidence, and sovereign debt markets
This article analyzes the state–market nexus by examining the role played by sovereign credit default swap (CDS) derivative markets in the southern European debt crisis of 2010–2014. This nexus is conceived of as being part of a larger process of state financialization and, more specifically, of sovereign debt management. This article shows that the southern European debt crisis was triggered by the deterioration of fundamental macroeconomic vari…
A spatial statistical approach to estimate bus stop demand using GIS-processed data
This study integrates the fields of geography, urban transit planning, and statistical learning to develop a sophisticated methodology for predicting bus demand at the stop level. It uses a Generalized Additive Model that captures non-linear relationships and incorporates spatial dependence, improving traditional methods. It showcases a high predictive capacity with a pseudo R-squared of 0.79 during its validation, ensuring substantial explanator…
Business (1 work) · Computer Science (1 work) · Credit default swap (1 work) · Credit derivative (1 work) · Credit history (1 work) · Credit risk (1 work) · Debt (1 work) · Debt levels and flows (1 work) · Debt-to-GDP ratio (1 work) · Economic policy (1 work)