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<title>ML-Quant: Asset Pricing &amp; Factors</title><link>https://www.ml-quant.com/topics/asset-pricing-factors/</link><description>Factor models, anomalies, the cross-section of returns and what survives publication.</description>
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<item><title>FactorBench: A Portfolio-Aware Benchmark for Automated Factor Mining</title><link>https://www.ml-quant.com/papers/arxiv/2610.06947/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2610.06947/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>A portfolio-aware benchmark comparing five thousand factors from nine automated mining methods across five equity markets finds that no discovery paradigm consistently dominates in signal quality or portfolio performance.</description></item>
<item><title>AlphaPADI: Formulaic Alpha Discovery via Pool-Aware Hierarchical Discrete Diffusion</title><link>https://www.ml-quant.com/papers/arxiv/2610.04959/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2610.04959/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>Introduces a hierarchical discrete diffusion framework that generates pools of formulaic alphas by reconstructing complete candidate pools under current context and maximizing joint predictive performance and inner diversity.</description></item>
<item><title>On the Boundary of Admission Gates: An Injected-Truth Study of Falsification-First Selection in Quantitative Strategy Research</title><link>https://www.ml-quant.com/papers/arxiv/2610.07701/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2610.07701/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>An injected-truth protocol reveals that statistical admission gates eliminate false discoveries in weak-signal regimes but cut adoption rates to 1–7 percent, while criteria computed on absolute rather than excess returns reject all candidates.</description></item>
<item><title>Measuring What is Repeated and Novel in Earnings Disclosures Using Optimal Transport</title><link>https://www.ml-quant.com/papers/arxiv/2610.04094/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2610.04094/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>Decomposing earnings press releases and conference calls into shared and unique textual components shows that unique call content predicts returns better than repeated material.</description></item>
<item><title>The Three Faces of Fed Surprise: Rate-Path, Information and Tone Shocks in the Equity Cross-section</title><link>https://www.ml-quant.com/papers/ssrn/7560218/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7560218/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>The study decomposes Federal Reserve announcements into three orthogonal shocks and traces each through the equity cross-section, finding rate-path surprises dominate while standard balance-sheet characteristics carry no additional power beyond beta and size.</description></item>
<item><title>Supplying Safety to an Aging World: Demographics, Debt, and Risk Premia</title><link>https://www.ml-quant.com/papers/ssrn/7570178/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7570178/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>A two-country model attributes 251 basis points of U.S. equity premium gains and 71 basis points of global rate decline since 1980 to demographic aging.</description></item>
<item><title>Cross-Sectional Corporate Bond Returns</title><link>https://www.ml-quant.com/papers/ssrn/7566162/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7566162/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>Constructs a characteristics-based systematic risk measure using rate jumps that predicts out-of-sample corporate bond returns, with high-minus-low decile portfolio earning 9.12% annually and 7.80% alpha.</description></item>
<item><title>The Price of Conviction</title><link>https://www.ml-quant.com/papers/ssrn/7571098/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7571098/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>The study shows that high-conviction beliefs exert outsized influence on prices, with a long-short portfolio exploiting conviction-weighted disagreement earning 13.2 percent annualized six-factor alpha.</description></item>
<item><title>Artificial Intelligence Exposure and Financial Stability: Cross-Industry Common Risk and Connectedness in U.S. Equity Markets</title><link>https://www.ml-quant.com/papers/ssrn/7577948/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7577948/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>The study measures AI exposure across 284 U.S. firms and finds that an AI-factor explains only 18% variance alongside conventional factors, suggesting AI is a distinct cross-industry risk lens separate from traditional spillovers.</description></item>
<item><title>Risk Appetite and Monetary Transmission</title><link>https://www.ml-quant.com/papers/repec/fip-fedfwp-103796/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/fip-fedfwp-103796/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>The research shows Fed policy affects risk asset prices primarily through risk appetite shifts, not interest rates; transmission via risk appetite dwarfs rate-channel effects.</description></item>
<item><title>A Currency Premium Puzzle</title><link>https://www.ml-quant.com/papers/repec/nbr-nberwo-35572/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/nbr-nberwo-35572/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>The paper proves that asset pricing models solving equity and risk-free rate puzzles fail to generate observed interest-rate differentials between risky and safe currencies.</description></item>
<item><title>The Implied Equity Term Structure</title><link>https://www.ml-quant.com/papers/repec/fip-fednsr-103730/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/fip-fednsr-103730/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>Inferring expected returns from stock prices and cash flows reveals an upward-sloping equity term structure, but value and speculative-grade firms show flat or downward slopes.</description></item>
<item><title>A Model of Global Firms and Capital Markets</title><link>https://www.ml-quant.com/papers/repec/nbr-nberwo-35652/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/nbr-nberwo-35652/</guid><pubDate>Fri, 09 Oct 2026 07:00:00 +0000</pubDate><description>A quantified general-equilibrium model of 23,000 firms across 48 countries shows financial and trade liberalization concentrate activity in largest firms with larger gains for emerging economies.</description></item>
<item><title>Across the Capital Structure: Bond Signals and Equity Returns *</title><link>https://www.ml-quant.com/papers/ssrn/7527218/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7527218/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>Signals extracted from corporate bond portfolios predict next-month equity returns of same issuers at 21 basis points higher after controlling for stock characteristics.</description></item>
<item><title>The Ant Group IPO Halt as a Natural Experiment on Chinese Fintech Regulation, Firm Valuations, and Shadow-Lending Contraction: A High-Frequency Event Study with Synthetic-Control Validation</title><link>https://www.ml-quant.com/papers/ssrn/7545235/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7545235/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>The study exploits Ant Group's suspended IPO in November 2020 as a natural experiment, finding that highly exposed firms suffered roughly 21 percentage point abnormal returns and experienced a 42% contraction in shadow-loan balances.</description></item>
<item><title>Why Most Stocks Underperform the Index: Idiosyncratic Variance Drag and the Geometry of Compounding</title><link>https://www.ml-quant.com/papers/ssrn/7546579/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7546579/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>A lognormal model shows that individual stocks carry an idiosyncratic variance penalty making most underperform the index, with about one-third beating the market over five years.</description></item>
<item><title>An Auditable Public-Data U.S. Equity Research Pipeline: Point-in-Time Factors, Asset Pricing, Portfolio Construction, and Walk-Forward Machine Learning</title><link>https://www.ml-quant.com/papers/ssrn/7528419/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7528419/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>A reproducible pipeline for factor research finds no model reliably beats simple approaches after accounting for transaction costs in point-in-time factor tests.</description></item>
<item><title>Filing Discipline: Regulatory Disclosure Behavior and the Cross-Section of Stock Returns</title><link>https://www.ml-quant.com/papers/ssrn/7536681/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7536681/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>Filing discipline characteristics built from SEC timestamp data alone predict cross-sectional stock returns with a net Sharpe ratio of 1.27, concentrated in smaller and more volatile stocks.</description></item>
<item><title>Corporate bond pricing in the AI era</title><link>https://www.ml-quant.com/papers/repec/bdi-opques-qef-1057-26/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/bdi-opques-qef-1057-26/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>Using ChatGPT's launch as a natural experiment, the paper finds that hyperscalers saw borrowing costs decline while software firms faced worse terms as debt markets repriced AI winners and losers.</description></item>
<item><title>The Innovator's Risk Premium: Sticky Hurdle Rates, the Cost of Capital, and Creative Destruction</title><link>https://www.ml-quant.com/papers/repec/bde-wpaper-2628e/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/bde-wpaper-2628e/</guid><pubDate>Fri, 02 Oct 2026 07:00:00 +0000</pubDate><description>The research shows that firms' hurdle rates exceed their financial cost of capital due to innovation risk and imperfect pledgeability, explaining weak productivity growth and declining business dynamism.</description></item>
<item><title>Trust, Rule of Law, and the Size Premium: Evidence from a Meta-Analysis</title><link>https://www.ml-quant.com/papers/arxiv/2609.26212/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2609.26212/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Meta-analysis of 1,613 size-premium estimates across 31 countries finds that stronger rule of law is associated with larger size premia, contrary to intuition.</description></item>
<item><title>From D&amp;I to D&amp;I: European Capital Markets' Regime Shift from Diversity and Inclusion to Defence and Infrastructure</title><link>https://www.ml-quant.com/papers/ssrn/7477998/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7477998/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>European defence stocks repriced sharply starting November 2021, two to three months before Russia's invasion, delivering 26% alpha and reflecting release of ESG-exclusion constraints.</description></item>
<item><title>Speculative Leverage and Factor Momentum</title><link>https://www.ml-quant.com/papers/ssrn/7512099/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7512099/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Factor momentum strategies earn 49 basis points per month extra return following quarters of rapid margin-debt growth, a predictability that persists after publication and reflects limits to arbitrage correction.</description></item>
<item><title>Firm-Specific Price Delay and Momentum</title><link>https://www.ml-quant.com/papers/ssrn/7518623/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7518623/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Momentum profits concentrate among firms with high price delay, a measure of information friction, directly supporting theories that gradual information incorporation drives momentum.</description></item>
<item><title>Crossing the Zero Lower Bound: Negative Interest Rates and Corporate Valuation</title><link>https://www.ml-quant.com/papers/ssrn/7512572/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/7512572/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Comparing firms across the ECB's 2014 negative rate adoption shows treated European firms had higher valuations but reduced leverage, suggesting cash-flow and discount-rate channels dominate tax-shield effects.</description></item>
<item><title>Skewness Risk Premia and the Cross-Section of Currency Returns</title><link>https://www.ml-quant.com/papers/repec/cpr-ceprdp-20587/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/cpr-ceprdp-20587/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Using model-free skewness measures from currency options, the study shows that skewness risk is priced in currency returns and explains variation across a broad cross-section of currency portfolios.</description></item>
<item><title>Asset Embeddings</title><link>https://www.ml-quant.com/papers/repec/cpr-ceprdp-20082/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/cpr-ceprdp-20082/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>The paper shows that portfolio holdings contain all information needed for asset pricing and develops asset embeddings analogous to word embeddings to represent firms and predict valuations.</description></item>
<item><title>Pricing Risk Globally: Intermediary Constraints, the Dollar, and the Global Financial Cycle</title><link>https://www.ml-quant.com/papers/repec/fip-fedgif-103716/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/fip-fedgif-103716/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>A two-country model shows that uncertainty shocks tighten intermediary constraints, widening credit spreads, appreciating the dollar, and raising currency risk premia globally.</description></item>
<item><title>Carry Trade and Currency Crash Risk</title><link>https://www.ml-quant.com/papers/repec/cpr-ceprdp-20745/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/cpr-ceprdp-20745/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Focusing on dollar-lira trading, the paper shows that higher crash risk significantly increases carry trade expected returns, accounting for 46–77% of compensation through Shapley decomposition.</description></item>
<item><title>Rate Risk and Rate Insurance</title><link>https://www.ml-quant.com/papers/repec/nbr-nberwo-35636/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/nbr-nberwo-35636/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Stock returns are dampened by rate insurance: falling rates cushion payoff risk in bad times while rising rates in good times hedge duration exposure.</description></item>
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