Complexity-Aware Vector-Valued Machine Learning of State-Level Bond Returns: Evidence on South African Trade Spillovers Under SALT and OBBBA
- DOI
- 10.3390/econometrics14010001
- Published
- 12
- Container
- Econometrics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/econometrics14010001,
title = {Complexity-Aware Vector-Valued Machine Learning of State-Level Bond Returns: Evidence on South African Trade Spillovers Under SALT and OBBBA},
author = {Gordon Dash and Nina Kajiji and Domenic Vonella and Helper Zhou},
year = {2025},
journal = {Econometrics},
doi = {10.3390/econometrics14010001},
url = {https://doi.org/10.3390/econometrics14010001}
}RIS
TY - JOUR TI - Complexity-Aware Vector-Valued Machine Learning of State-Level Bond Returns: Evidence on South African Trade Spillovers Under SALT and OBBBA AU - Gordon Dash AU - Nina Kajiji AU - Domenic Vonella AU - Helper Zhou PY - 2025 JO - Econometrics DO - 10.3390/econometrics14010001 UR - https://doi.org/10.3390/econometrics14010001 ER -
APA
Dash, G., Kajiji, N., Vonella, D., & Zhou, H. (2025). Complexity-Aware Vector-Valued Machine Learning of State-Level Bond Returns: Evidence on South African Trade Spillovers Under SALT and OBBBA. Econometrics. https://doi.org/10.3390/econometrics14010001
Source records
- doaj · retrieved 2026-09-27T06:57:20.804Z