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Minjae Kim

4 papers hereh-index 228 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CE1
  • cs.IR1
  • q-fin.RM1
same name
  • Minjae Kim — 5 papers, h 11
  • Minjae Kim — 4 papers, h 3
  • Minjae Kim — 3 papers, h 4
  • Minjae Kim — 3 papers, h 2
  • Minjae Kim — 3 papers, h 2
  • Minjae Kim — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

q-fin.RM2026

LLM as a Risk Manager: LLM Semantic Filtering for Lead-Lag Trading in Prediction Markets

Sumin Kim, Minjae Kim, Jihoon Kwon +7

Prediction markets provide a unique setting where event-level time series are directly tied to natural-language descriptions, yet discovering robust lead-lag relationships remains…

cs.CE2025

From Text to Alpha: Can LLMs Track Evolving Signals in Corporate Disclosures?

Chanyeol Choi, Yoon Kim, Yu Yu +10

Natural language processing (NLP) has been widely used in quantitative finance, but traditional methods often struggle to capture rich narratives in corporate disclosures, leaving…

cs.IR2025

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering

Chanyeol Choi, Jihoon Kwon, Alejandro Lopez-Lira +8

Accurate information retrieval (IR) is critical in the financial domain, where investors must identify relevant information from large collections of documents. Traditional IR meth…

cs.AI2025

Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance

Chanyeol Choi, Alejandro Lopez-Lira, Yongjae Lee +8

Extracting structured and quantitative insights from unstructured financial filings is essential in investment research, yet remains time-consuming and resource-intensive. Conventi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.