Research
Markets
Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model
Key Insights
- This paper studies a partially linear semiparametric additive model that allows for interactions among variables in high-dimensional settings.
- We propose the Specification LASSO (S-LASSO), a two-step.
Cite this synthesis
DOI: 10.1080/07350015.2026.2729095 ↗
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@misc{ acaciamarkets-research-specification-lasso-and-a-flexible-characteristics-based-ass,
title = { Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model },
author = { Leszek },
year = { 2026 },
doi = { 10.1080/07350015.2026.2729095 },
url = { http://arxiv.org/abs/2611.03391v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model AU - Leszek PY - 2026 DO - 10.1080/07350015.2026.2729095 UR - http://arxiv.org/abs/2611.03391v1 ER -
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Overview
This paper studies a partially linear semiparametric additive model that allows for interactions among variables in high-dimensional settings. We propose the Specification LASSO (S-LASSO), a two-step
Key Topics
- Quantitative Modeling: A theme covered by this item within the markets context.
Why It Matters
This item adds to the markets knowledge base. Practitioners can use it to stay current on Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model relates to markets workflows and controls.
- Assess evidence quality and freshness before acting on the findings.
- Use the tagged topics to connect this item to related content in the library.
Article Metadata
Evergreen
Synthesized
SQI 0.750
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