AI Investment Frontier Deep Time-Series Models Need Deployment Diagnostics A new arXiv benchmark of deep time-series models for equity portfolios shows why investment AI builders should evaluate models through costs, constraints, and regret, not just raw forecasts.
AI Investment Frontier AI 策略需要黑箱审计层 A new arXiv paper by Irene Aldridge proposes a model-free way to audit sequential AI investment policies from observable inputs and outputs, shifting the question from backtest wins to policy regret.
AI Investment Frontier AI Strategies Need a Black-Box Audit Layer A new arXiv paper by Irene Aldridge proposes a model-free way to audit sequential AI investment policies from observable inputs and outputs, shifting the question from backtest wins to policy regret.
AI Investment Frontier 预测模型需要压力测试基准 FinStressTS, a new arXiv/KDD 2026 paper, argues that financial forecasting benchmarks should expose why models fail under volatility clustering, regime shifts, heavy tails, jumps, and sparse processes.
AI Investment Frontier Forecasting Models Need Stress-Test Benchmarks FinStressTS, a new arXiv/KDD 2026 paper, argues that financial forecasting benchmarks should expose why models fail under volatility clustering, regime shifts, heavy tails, jumps, and sparse processes.
AI Investment Frontier 深度收益模型需要组合现实层 A new Journal of Empirical Finance paper on deep learning for market return predictability is a useful prompt to separate forecasting accuracy from deployable portfolio value.
AI Investment Frontier Deep Return Models Need a Portfolio Reality Layer A new Journal of Empirical Finance paper on deep learning for market return predictability is a useful prompt to separate forecasting accuracy from deployable portfolio value.
AI Investment Frontier 订单簿 RL 需要下行感知策略层 A fresh arXiv paper applies group-aware policy optimization to limit order book trading, useful less as a trading claim than as a design pattern for downside-aware RL evaluation.
AI Investment Frontier Order Book RL Needs a Downside-Aware Policy Layer A fresh arXiv paper applies group-aware policy optimization to limit order book trading, useful less as a trading claim than as a design pattern for downside-aware RL evaluation.
AI Investment Frontier 组合 LLM 需要相关性感知基准 A new arXiv benchmark tests LLM portfolio managers on cross-asset correlation, full-pipeline allocation, stress regimes, and error propagation.
AI Investment Frontier Portfolio LLMs Need Correlation-Aware Benchmarks A new arXiv benchmark tests LLM portfolio managers on cross-asset correlation, full-pipeline allocation, stress regimes, and error propagation.
AI Investment Frontier 财富 AI 需要组合理由引擎 BCG's same-day wealth-management report shows AI moving from advisor productivity into portfolio rationales, monitoring, and compliance workflows.
AI Investment Frontier Wealth AI Needs a Portfolio Rationale Engine BCG's same-day wealth-management report shows AI moving from advisor productivity into portfolio rationales, monitoring, and compliance workflows.
AI Investment Frontier LLM 预测需要记忆防火墙 A newly posted SSRN paper quantifies look-ahead bias in GPT-4 financial forecasts, showing why investment AI evaluation needs point-in-time memory controls.
AI Investment Frontier LLM Forecasting Needs a Memory Firewall A newly posted SSRN paper quantifies look-ahead bias in GPT-4 financial forecasts, showing why investment AI evaluation needs point-in-time memory controls.
AI Investment Frontier 智能体交易：为什么 LLM 交易智能体需要证据账本 《Agentic Trading: When LLM Agents Meet Financial Markets》显示，LLM 交易智能体在进入生产信任之前，需要证据账本、真实成本、执行语义和可复现评估。
AI Investment Frontier Agentic Trading: Why LLM Trading Agents Need an Evidence Ledger The arXiv paper “Agentic Trading: When LLM Agents Meet Financial Markets” shows why LLM trading agents need reproducible evidence ledgers, realistic costs, and auditable execution semantics.
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 AI Alpha 仍需通过治理测试 Mercer's new asset-management survey shows AI adoption is real, but return attribution is still scarce. The builder lesson is to instrument governance before claiming alpha.
AI Investment Frontier AI Alpha Still Has to Pass the Governance Test Mercer's new asset-management survey shows AI adoption is real, but return attribution is still scarce. The builder lesson is to instrument governance before claiming alpha.
AI Investment Frontier GenAI 风险正在成为横截面测试 A new SSRN paper turns GenAI risk into an asset-pricing question: firms may be punished differently by adverse AI news depending on whether they have real implementation exposure.
AI Investment Frontier GenAI Risk Is Becoming a Cross-Sectional Test A new SSRN paper turns GenAI risk into an asset-pricing question: firms may be punished differently by adverse AI news depending on whether they have real implementation exposure.
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.
