ML-QuantSubscribe

SSRNAsset Pricing & Factors

Machine Learning and the Cross-Section of Emerging Market Corporate Bond Returns

Machine learning models considering nonlinearities and interactions offer better predictions of corporate bond behavior in emerging markets with high transaction costs, with key predictors tied to low-risk macro and momentum factors.

Featured in No. 26 on 15 Nov 2023 · 16 days after release · 1 citation today

Released
30 Oct 2023
First featured
No. 26 · 15 Nov 2023
Citations (Semantic Scholar)
1
Influential citations
0
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4632924

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page