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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>
<language>en</language>
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<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>
<item><title>Common Risk Factors in the Returns on Stocks, Bonds (and Options), Redux</title><link>https://www.ml-quant.com/papers/repec/nbr-nberwo-35579/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/nbr-nberwo-35579/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>The research identifies common risk factors spanning stocks, corporate bonds, and options linked to economic indicators, revealing significant market segmentation and cross-asset hedging opportunities.</description></item>
<item><title>Exogenous Risk, Hedging Pressure, and Risk Premia in Agricultural Commodity Markets</title><link>https://www.ml-quant.com/papers/repec/ags-aaea26-404411/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/ags-aaea26-404411/</guid><pubDate>Fri, 25 Sep 2026 07:00:00 +0000</pubDate><description>Traders place 15% weight on USDA crop reports relative to private priors when forming price expectations, with this anchoring weight rising when private analyst disagreement increases.</description></item>
<item><title>Interpretable Machine Learning for Asset Pricing</title><link>https://www.ml-quant.com/papers/ssrn/4473746/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/4473746/</guid><pubDate>Sun, 28 Dec 2025 07:00:00 +0000</pubDate><description>The paper utilizes deep neural networks to more accurately estimate equity risk premia over time, enhancing the interpretability of machine learning in economics.</description></item>
<item><title>Asset Pricing and Stochastic Discount Factors</title><link>https://www.ml-quant.com/papers/ssrn/4465240/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/4465240/</guid><pubDate>Sun, 28 Dec 2025 07:00:00 +0000</pubDate><description>The paper outlines the required conditions for modeling stock prices with characteristics-based factor portfolios, addressing covariate structure issues.</description></item>
<item><title>The Cross-Section of Factor Returns</title><link>https://www.ml-quant.com/papers/ssrn/4441376/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/4441376/</guid><pubDate>Fri, 19 Dec 2025 07:00:00 +0000</pubDate><description>Most of the 150 equity factors examined show positive returns but fail to deliver excess returns after accounting for risk, especially in downturns.</description></item>
<item><title>Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model</title><link>https://www.ml-quant.com/papers/arxiv/2512.16251/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2512.16251/</guid><pubDate>Fri, 19 Dec 2025 07:00:00 +0000</pubDate><description>The Consensus-Bottleneck Asset Pricing Model uses a neural network to mimic analyst reasoning, showing how investor beliefs influence asset prices and enhancing long-term predictions for U.S. stocks.</description></item>
<item><title>Are Penalty Shootouts Better Than a Coin Toss? Evidence From International Club Football in Europe</title><link>https://www.ml-quant.com/papers/arxiv/2510.17641/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2510.17641/</guid><pubDate>Mon, 27 Oct 2025 07:00:00 +0000</pubDate><description>Using UEFA penalty shootout data (2000–2025) we find outcomes are essentially random—no measurable advantage from kicking order, venue, momentum, or team strength.</description></item>
<item><title>Forecast Disagreement &amp; Risk Premia</title><link>https://www.ml-quant.com/papers/repec/eee-ecolet-v-247-y-2025-i-c-s0165176524006037/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/eee-ecolet-v-247-y-2025-i-c-s0165176524006037/</guid><pubDate>Mon, 27 Oct 2025 07:00:00 +0000</pubDate><description>Disagreement in macro forecasts raises risk premia: consumption disagreement hurts overall stock returns, while productivity disagreement particularly damages small, low-profit firms.</description></item>
<item><title>Early Exercise and Put Risk Premia</title><link>https://www.ml-quant.com/papers/repec/inm-ormnsc-v-71-y-2025-i-2-p-1824-1845/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/inm-ormnsc-v-71-y-2025-i-2-p-1824-1845/</guid><pubDate>Mon, 27 Oct 2025 07:00:00 +0000</pubDate><description>Accounting for optimal early exercise, American puts show less negative raw returns but more negative delta‑hedged returns than European puts, changing which option anomalies look profitable.</description></item>
<item><title>Risk Factor Validation</title><link>https://www.ml-quant.com/papers/repec/spr-jecfin-v-43-y-2019-i-1-d-10-1007-s12197-018-9438-x/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/repec/spr-jecfin-v-43-y-2019-i-1-d-10-1007-s12197-018-9438-x/</guid><pubDate>Fri, 24 Oct 2025 07:00:00 +0000</pubDate><description>The research disputes the Fama and French three factor model, stating that size and value mimicking factors should not be seen as systematic risk factors.</description></item>
<item><title>Optimal Investment and Consumption in a Stochastic Factor Model</title><link>https://www.ml-quant.com/papers/arxiv/2509.09452/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2509.09452/</guid><pubDate>Sat, 13 Sep 2025 07:00:00 +0000</pubDate><description>The article discusses optimal investment and consumption in an incomplete stochastic factor model, offering a comprehensive characterization of the problem's well-posedness and an efficient numerical algorithm for computing the value function.</description></item>
<item><title>Rethinking Beta: A Causal Take on CAPM</title><link>https://www.ml-quant.com/papers/arxiv/2509.05760/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2509.05760/</guid><pubDate>Sat, 13 Sep 2025 07:00:00 +0000</pubDate><description>A study suggests the Capital Asset Pricing Model should be viewed as associational, not causal, with beta reflecting market capture of underlying drivers, and risk management should focus on declared causal paths instead of fixed factors.</description></item>
<item><title>Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models</title><link>https://www.ml-quant.com/papers/arxiv/2508.19006/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2508.19006/</guid><pubDate>Fri, 29 Aug 2025 07:00:00 +0000</pubDate><description>The study finds that pretrained RNN attention models can effectively derive returns and hedge risks in asset pricing, even during extreme market conditions like the COVID-19 pandemic.</description></item>
<item><title>Dynamic Asset Pricing with {\alpha}-MEU Model</title><link>https://www.ml-quant.com/papers/arxiv/2507.04093/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2507.04093/</guid><pubDate>Thu, 10 Jul 2025 07:00:00 +0000</pubDate><description>The study investigates a dynamic asset pricing problem, showing that an agent's perceived ambiguity or ambiguity-aversion can lower the risk-free rate and increase the stock price.</description></item>
<item><title>Overparametrized models with posterior drift</title><link>https://www.ml-quant.com/papers/arxiv/2506.23619/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/arxiv/2506.23619/</guid><pubDate>Thu, 03 Jul 2025 07:00:00 +0000</pubDate><description>The research warns about the sensitivity of large linear machine learning models in predicting equity premiums, suggesting caution in their use.</description></item>
<item><title>Common Task Framework</title><link>https://www.ml-quant.com/papers/ssrn/5242901/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/5242901/</guid><pubDate>Wed, 25 Jun 2025 07:00:00 +0000</pubDate><description>The Common Task Framework (CTF) can enhance innovation, effort, and honesty in research, and could be used in financial economics to assess asset pricing models.</description></item>
<item><title>FOMC Announcement Premiums</title><link>https://www.ml-quant.com/papers/ssrn/5237922/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/5237922/</guid><pubDate>Wed, 25 Jun 2025 07:00:00 +0000</pubDate><description>Currency risk premiums fluctuate on U.S. FOMC announcement days, with currencies expecting a larger reduction in implied variance earning higher returns.</description></item>
<item><title>Deep IV Factor Models</title><link>https://www.ml-quant.com/papers/ssrn/5283770/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/5283770/</guid><pubDate>Wed, 11 Jun 2025 07:00:00 +0000</pubDate><description>The Deep Implied Volatility Factor Model, combining neural networks and linear regression, is proposed for estimating the daily Implied Volatility surface of individual stock options, improving performance around earnings announcements.</description></item>
<item><title>AI Asset Pricing Impacts</title><link>https://www.ml-quant.com/papers/ssrn/5277572/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/5277572/</guid><pubDate>Wed, 04 Jun 2025 07:00:00 +0000</pubDate><description>The article presents a model that examines the impact of AI on the economy, portfolio choices, and asset prices, suggesting that AI increases output growth and volatility and influences investor behavior.</description></item>
<item><title>A FOMO-based Capital Asset Pricing Model</title><link>https://www.ml-quant.com/papers/ssrn/5276817/</link><guid isPermaLink="true">https://www.ml-quant.com/papers/ssrn/5276817/</guid><pubDate>Wed, 04 Jun 2025 07:00:00 +0000</pubDate><description>The paper presents a Fear of Missing Out (FOMO) Capital Asset Pricing Model, suggesting that investors gain satisfaction from avoiding underperformance compared to their peers.</description></item>
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