AI Investment Frontier From Filing to Evidence Map: AI Makes Research Faster—and Verification Harder AI can turn a long filing into a research map, but investors still need point-in-time evidence, citations, and a human audit.
AI Investment Frontier AI 投资前沿：风险偏好也应成为组合模型的输入 一篇新论文把机器学习的收益预期放进结构化组合模型，提示投资 AI 不应只预测资产，也要理解决策者的行为与约束。
AI Investment Frontier AI Investment Frontier — Risk Preferences Are a Portfolio-Model Input A new paper combines machine-learned return expectations with a structural portfolio model. The lesson for investment AI is to model behavior and constraints, not just forecasts.
AI Investment Frontier AI Investment Frontier — The Evidence Layer Matters More Than the Stock Pick Recent evidence that LLM stock picks can follow media attention more than fundamentals makes provenance, point-in-time inputs, and abstention core investment-system features.
AI Investment Frontier 基金数据正在变成投资 AI 的新人格层 Fund2Persona 提示我们：真正有用的投资 AI 不是会模仿语气，而是能被基金披露、持仓变化和经理评语约束住。
AI Investment Frontier Fund Data Is Becoming the New Persona Layer for Investment AI A new Fund2Persona paper shows how fund disclosures, holdings transitions, and manager commentary can ground investment personas instead of relying on generic prompts.
AI Investment Frontier 私募信贷 AI 需要可审计的承销框架 A June 2026 arXiv paper on AI-augmented ship-finance loan origination shows why private-credit AI should be built as an auditable underwriting harness, not a free-form credit oracle.
AI Investment Frontier Private Credit AI Needs an Underwriting Harness A June 2026 arXiv paper on AI-augmented ship-finance loan origination shows why private-credit AI should be built as an auditable underwriting harness, not a free-form credit oracle.
AI Investment Frontier 气候 Alpha 需要异构天气模型 A new SSRN paper uses machine learning to estimate firm-level weather impacts and finds investor underreaction around earnings. The useful lesson is not a climate trade, but a better event-risk architecture.
AI Investment Frontier Climate Alpha Needs Heterogeneous Weather Models A new SSRN paper uses machine learning to estimate firm-level weather impacts and finds investor underreaction around earnings. The useful lesson is not a climate trade, but a better event-risk architecture.
AI Investment Frontier 数据质量是智能体投资的护城河 A fresh Clarity AI workflow note shows why agentic investment systems will be judged less by chat fluency and more by access, provenance, freshness, and methodology.
AI Investment Frontier Data Quality Is the Agentic Investing Moat A fresh Clarity AI workflow note shows why agentic investment systems will be judged less by chat fluency and more by access, provenance, freshness, and methodology.
