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.
3,481 documents
This research summary examines how sell-side analyst reports may inform stock selection. It argues that report counts and recommendation strength alone provide limited differentiation, while target-price upside and changes in analyst views may be more…
This article surveys six implementation choices that shape equity factor strategies: selecting proxy measures, constructing portfolios, combining factors, allocating among them, trading, and managing risk. It argues that one factor can be represented by…
This report reviews market conditions relevant to Chinese quantitative equity strategies in July 2022. It tracks the number of unstable factors as a proxy for how supportive conditions may be for strategy excess returns. The report says this count stayed…
This brief description introduces a reinforcement-learning lecture on the theoretical foundations of dynamic programming. It says the lecture studies dynamic-programming algorithms as contraction mappings and asks when and how those mappings converge to the…
This paper summary examines whether historical trading data can predict the next month’s cross-sectional returns of Chinese A-shares. It describes a dataset of 108 stock characteristics from 1997 to 2019 and compares traditional econometric methods with six…
The document studies a definition of an industry leader based on analyst coverage and strong links between a stock’s fundamentals and those of its industry peers. It describes the selected stocks’ general characteristics and examines whether their price…
This article introduces XGBoost as a machine-learning method for quantitative stock selection using price and volume factors. It explains boosting as a process that adds weak learners in sequence, then contrasts AdaBoost’s reweighting of misclassified…
This research summary examines whether stock return synchronicity—the degree to which a stock’s returns move with common factors—signals more or less information in prices. The conventional view treats high synchronicity as evidence of less firm-specific…
The document raises a portfolio-construction question about using a stock-ranking model to select both ends of its predictions: stocks with the highest factor scores and stocks with the lowest scores. The proposed idea is to hold the two groups together as a…
This analysis compares analyst forecast data from two Chinese financial data providers, examining report coverage, forecast accuracy, and the usefulness of forecast-related factors in stock selection. One provider is described as covering more stocks, while…
This article introduces support vector machines for classification and regression, then applies them to A-share stock selection. It explains the maximum-margin principle for linear SVMs, slack variables for imperfectly separable observations, and kernel…
The document outlines a factor attribution framework for evaluating active equity funds within a fund of funds (FOF). It separates returns into broad risk exposures, such as market, style, and industry effects; alpha-factor contributions from technical and…
This Chinese-language note estimates potential market upside across four equity groups: the CSI Bank sector, SSE 50, CSI 500, and ChiNext. Its framework considers fundamental trends, whether expected earnings growth supports current valuation, and the risk…
This Chinese-language commentary argues that a severe equity-market decline could affect people who do not own stocks through several channels. It describes a potential feedback loop in which investor withdrawals and forced selling reduce market liquidity,…
This review summarizes research comparing highly rated ESG stocks with other stocks in US and developed international markets. It examines individual securities and randomly formed portfolios using MSCI ESG classifications and a Fama-French five-factor model…
This Chinese-language event listing outlines a dynamic trading approach for timing exchange-traded funds. It identifies three components: selecting a pool of highly liquid ETFs, ranking candidates with multiple momentum dimensions, and adjusting the approach…
This Chinese equity market report summarizes sector performance, index and industry valuations, market breadth, fund positioning, and an intermediate-term trend model. It reports that building materials, agriculture and forestry, utilities, light…
This short Chinese-language note defines quantitative investing as using programs to invest based on collecting and analyzing substantial market data. It presents automation as a way to respond to market changes more quickly, follow a consistent process, and…
The research summary argues that conventional earnings multiples may be weak valuation tools for property developers because project-based results can be uneven and past earnings may not predict future performance well. It proposes using inventory as a…
This research summary examines China’s medical imaging equipment market and United Imaging’s position as a domestic supplier. It presents demand growth as supported by low equipment availability relative to developed markets and policy efforts to expand…
This tutorial explains applying principal component analysis to stock returns to identify dominant co-movement patterns. It standardizes historical returns, estimates a rolling correlation matrix, and decomposes it into eigenvalues and eigenvectors. The…
The document introduces TRIX, a technical indicator built by applying an exponential moving average to the closing price three times in succession. It also defines a companion line by taking a simple moving average of the resulting triple-smoothed series.…
This research summary describes a method for predicting which stocks will attract institutional attention when other firms make scheduled announcements or when macroeconomic news arrives. It measures past attention spikes using news searches and reading…
The article presents six discretionary rules for short-term trading: exit when a closing price falls below its five-day moving average, use a two-day moving average to judge the near-term trend, wait for preset entry conditions, and follow sell signals…