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
The report summary presents a two-layer framework for improving the stock universe used in multi-factor strategies. Rigid filters aim to ensure that securities are tradable, while flexible filters seek to improve universe quality. The flexible layer…
This document summarizes a research note on building a systematic framework for allocating among asset classes, with a focus on domestic equities and bonds. It says the research team had worked on asset allocation for several years and began consolidating…
This introductory tutorial presents NumPy as a tool for numerical work in quantitative finance. It explains how to import the library, create arrays from lists or built-in generators, inspect dimensions and data types, reshape arrays, and perform elementwise…
This article introduces alpha and beta through market and multifactor models, describing alpha as return unexplained by modeled risk exposures. It explains how active portfolios might seek positive alpha while keeping factor exposures aligned with a…
This article discusses the difficulties faced by quantitative index-enhancement funds after a period of rapid product launches and asset growth. It reports that some funds failed to generate positive alpha, lagged their benchmarks, or experienced declines in…
This note proposes an equity factor that adds cross-sectional percentile ranks for year-over-year growth in recent net profit, the negative of a ten-period turnover sum, and the negative of total market capitalization. The intended interpretation is that…
This research summary describes a method for grouping stocks with similar price behavior so that an investor can substitute one holding for another within a group. It builds on a grouping genetic algorithm, representing groups, stocks, and portfolio…
This survey report summarizes attitudes among 1,030 U.S. adults who held both cryptocurrency and stocks. Respondents reported greater confidence in crypto than in stocks, and more said they would direct additional money to crypto or use it to preserve…
The article describes a workflow for finding S&P 500 healthcare companies that develop or use AI. It filters the index by industry, gathers recent company news, and uses a large language model to summarize products, technologies, and research activity.…
This report discusses using optimization methods for asset allocation and portfolio construction, especially when objectives are complex, high dimensional, discontinuous, or heavily constrained. It argues that the in-sample optimum may not remain optimal in…
This Chinese-language document outlines how asset allocation models and fund portfolios can support wealth management. It frames portfolio design as a way to make investment choices more accessible to clients facing gaps in financial knowledge, behavioral…
This report extends a factor attribution framework for equity funds from quantitative strategies to actively managed funds. It argues that the factor set should reflect the fund’s likely investment approach and risk exposures. Active managers may share…
The report summary describes a strategy that varies fundamental factor exposures according to recurring seasons around company financial reports. It groups the calendar into four windows: annual-report disclosure, post-report performance trading,…
This overview explains how environmental, social, and governance considerations can enter investment decisions alongside conventional financial analysis. It surveys approaches including positive and negative screening, thematic allocation, impact investing,…
This Chinese-language survey discusses fundamental allocation, mean-variance optimization, Kelly-CVaR, Black-Litterman, and risk-parity approaches. Fundamental methods include mapping economic-cycle phases to asset weights and using macroeconomic factors to…
The document outlines a dynamic scenario alpha model (DCAM), which layers scenario classification over a conventional static alpha model. It argues that scenarios are useful when their subdivisions correspond to meaningfully different drivers or importance…
This research summary reviews a study of whether mutual fund managers’ personal investments in their own funds are related to fund risk. Using disclosures of investment ranges, fund holdings, and risk measures for actively managed U.S. equity funds from 2007…
This research note adapts the four phase investment clock to Chinese equities. It describes recovery, overheating, stagflation, and recession as distinct macroeconomic environments, and explains the traditional asset preferences associated with each. Because…
This configuration describes a Qlib workflow that trains a gated recurrent unit (GRU) model on Alpha158 features to rank CSI 300 stocks. It uses 20-step time-series samples, robust feature normalization, missing-value filling, and cross-sectional label…
This introductory course overview presents cryptocurrency quantitative trading as an application of the same mathematical, statistical, and computational methods used in equities and futures. It describes building systematic models from historical data to…
This strategy ranks stocks by recent returns and refreshes a portfolio each day. It starts with a chosen number of holdings, sells the weakest-ranked names, and replaces them with the strongest-ranked stocks from the eligible pool. The return measure…
This research note extends a spectral approximation for covariance matrices used in portfolio optimization. It derives a concise upper bound for approximation error and uses that bound to choose the number of retained eigenvalues dynamically. The stated aim…
This study compares equity portfolios selected on profitability, growth, and cash flow, then tests combinations of these fundamentals. It reports quarterly rebalanced results against the CSI 300 from 2013 through June 2021. Each standalone top-50 factor…
The report outlines a fundamental framework for selecting Chinese technology and innovation stocks. It first identifies candidate industries through subjective classification or quantitative screening based on lower sensitivity to macroeconomic fluctuations,…