Browse: F

Factor investing targets specific drivers of returns rather than broad market exposure, while risk parity allocates risk equally across asset classes. This module covers the major factors (value, momentum, size, quality, low volatility), the Fama-French multi-factor model, risk parity construction (volatility targeting, leverage, diversification), and 2025-2026 trends including factor crowding concerns, ESG as a factor, the performance of risk parity in rising rate environments, and machine learning for dynamic factor selection.

Fama and French extend the CAPM by adding size (SMB) and value (HML) factors to explain cross-sectional variation in stock returns, demonstrating that the three-factor model explains patterns that the CAPM cannot.

Fama and French extend their three-factor model by adding profitability (RMW) and investment (CMA) factors, providing a more complete description of the cross-section of average stock returns.

Production feature engineering pipelines for quantitative finance: transforming raw tick data into ML-ready feature sets using dbt for SQL transformations, Iceberg for time-travel access, and Dagster for asset orchestration.

Deep comparison of Feast (open source) and Tecton (managed): feature definitions, online/offline serving, point-in-time correctness, stream feature computation, and cost models. Production deployment patterns.

On July 7, 2026, the Federal Reserve Board proposed amendments to AML program requirements for state member banks, bank holding companies, and foreign banking organizations. The rule would allow banks to allocate resources based on risk, mandates board approval, requires a US-based compliance officer, and explicitly encourages adoption of innovative technologies including AI/ML. Simultaneously, FinCEN's April 2026 proposed rule and the GENIUS Act CIP rule for stablecoin issuers create the most significant BSA overhaul in 20+ years.

Fellegi and Sunter provide the mathematical foundation for record linkage, establishing a probabilistic framework for determining whether two records refer to the same entity based on agreement patterns of common identifying fields.

Review of the first year of FinCEN's beneficial ownership reporting requirements, analyzing filing patterns, compliance rates, and enforcement actions taken against non-compliant entities.

Fixed income markets form the foundation of global capital markets, determining borrowing costs across the economy. This module covers bond types (government, corporate, municipal, agency), yield curve dynamics (normal, inverted, steep, flat), duration and convexity, credit spreads, macro-economic drivers (central bank policy, inflation, employment), and 2025-2026 trends including the yield curve normalization after the 2022-2024 inversion, the impact of AI on macro forecasting, and the growing role of private credit markets.

Answers to common questions about AcaciaFund's methodology, content, and platform.

Lessig, Hildebrandt, Zuboff, and Schwarcz, assembled: why code is law, how legal protection by design works, and the four next-generation risks — algorithmic cascades, loss of contestability, epistemic crisis, and digital neofeudalism — plus the architectural response.

The foreign exchange market is the largest financial market in the world, with over $7.5 trillion in daily turnover. This module covers FX market structure (spot, forwards, swaps, options), participants (central banks, commercial banks, hedge funds, corporates), major and emerging market currency pairs, FX trading strategies (carry trade, momentum, mean reversion, fundamental models), and 2025-2026 trends including CBDC experiments, the rise of electronic FX trading and algos, and the impact of deglobalization on currency market dynamics.