Complexity-Aware Vector-Valued Machine Learning of State-Level Bond Returns: Evidence on South African Trade Spillovers Under SALT and OBBBA

Gordon Dash, Nina Kajiji, Domenic Vonella, Helper Zhou

Open source

DOI
10.3390/econometrics14010001
Published
12
Container
Econometrics
Publisher
Not recorded
Open access
yes

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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

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