Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
5,922 documents
This report summarizes three active Chinese equity portfolio approaches. The fund enhancement strategy uses holdings of successful active funds as a starting point, then applies quantitative selection to seek improvement over the active equity fund…
The document discusses why high-frequency equity factors may appear strong in isolation but fail to improve stock-selection portfolios. Even after orthogonalization against common equity factors, a signal can have a high information coefficient and strong…
The document describes a problem in equity factor models: high-frequency factors can show strong overall information coefficients and long-short returns after being orthogonalized against common factors, yet fail to improve a portfolio when used for stock…
The article summarizes research on whether mutual fund managers who begin their careers during economic recessions later differ in performance and investment behavior. Using a sample of U.S. actively managed equity funds and managers from 1990 to 2016, the…
This market-timing weekly report combines a broad-market regime indicator with short-term risk-appetite factors and sector views. It classifies the market as range-bound when the gap between the 20-day and 120-day moving averages of a broad Chinese equity…
This overview introduces VeighNa’s alpha research framework as a linked workflow for equity research: organize local market and constituent data, build factor and label datasets, train prediction models, generate scores, and test portfolio strategies. It…
This course-page description outlines a workflow for developing multi-factor investment models, moving from factor testing to evaluation and combination. It highlights checking whether factors are effective and stable, standardizing and neutralizing them,…
The discussion explains that weights in a multi-strategy portfolio can represent each strategy’s share of the combined allocation and can also be used to calculate a weighted portfolio return. Its example divides capital evenly among three strategies,…
This report summary describes using gene expression programming, a heuristic inspired by biological evolution, to discover price-volume factors from short-horizon data. Because many candidate factors had weakly monotonic group returns or no excess return in…
The speech explains how option-focused funds seek returns by assessing the risk environment, comparing implied option prices with estimates of risk, and spreading trades across contracts and products. It frames options as insurance: sellers may collect…
This code module supplies plotting and summary routines for quantitative factor research. It formats tables for factor returns, turnover, rank autocorrelation, quantile statistics, and information coefficients. Its chart functions visualize information…
This research summary presents a framework for classifying industry and thematic funds and using the resulting categories to form candidate investment pools. Fund contracts’ investment requirements serve as a core eligibility basis. The framework begins with…
This review of Asness and Frazzini examines how price timing affects the book-to-price measure used to form the HML value factor. The standard Fama–French approach pairs accounting book value with a prior fiscal year-end price, then updates portfolios…
This excerpt introduces a framework for assessing whether stock-selection factors may deliver persistent returns beyond broad market exposure. It distinguishes market-related beta from alpha and presents factor effectiveness as a question of both return…
This document outlines a per-contract result tracker and a portfolio-level PnL container. The contract tracker stores an opening position, observed trades, position changes, and cumulative long and short traded volumes and costs. It filters duplicate trade…
The document shows a simple workflow for evaluating two futures strategies together. It runs separate historical simulations for an ATR-RSI strategy on an equity index contract and a Bollinger channel strategy on a metal contract. Each run specifies its own…
This document describes data structures for tracking option contracts, underlying instruments, and option chains in a portfolio. It updates positions from trades and holdings, derives mid prices from top of book quotes, and connects options with pricing…
The document shows a workflow for backtesting two strategies on different cryptocurrency markets, then adding their result data frames to form a combined portfolio series. A helper configures each run with market, interval, date range, transaction costs,…
This document describes a portfolio monitoring module that groups trading activity by order source and tracks positions, fills, and profit and loss. Each source, such as manual trading or a strategy, can be treated as a separate portfolio. The display…
The discussion distinguishes uncertainty in portfolio allocations from uncertainty in the inputs used to construct them. Mean-variance optimization can produce a precise allocation from estimated returns and covariances even when those parameters are poorly…
The document surveys constraints that practitioners may impose when optimizing a portfolio. It notes that the formulation matters: a fully invested portfolio typically has weights summing to one, while an active portfolio expressed as deviations from a…
The document derives the conditions under which the unconstrained minimum-variance portfolio of two assets has no short positions. Starting from the formula for the weight on the first asset, it requires that weight to be nonnegative and no greater than one.…
The document discusses practical uses of equity return factors such as the Fama–French factors, momentum, and liquidity or tail-risk measures. It describes factor investing as a portfolio construction approach and notes that predicting factor returns, often…
The document considers how to build a fundamental scoring model for a defined stock universe using metrics for size, growth, valuation, quality, and risk. It describes the practical challenge of collecting current, historical, and estimated Bloomberg fields,…