Artificial intelligence in markets evokes two clashing images. One is a cold stack of code that…
Category: Alpha Research
Quantitative research from the Axplusb desk: factor models, systematic strategies, backtests and portfolio construction. We publish the reasoning and the evidence behind the signals we trade, including what did not work. Intended for readers who want the method, not just the conclusion.
EV/EBITDA Value Screen Shows No Edge in S&P 500 Backtest
Sixteen years of point-in-time testing show EV/EBITDA has no standalone edge in the S&P 500: the…
Leveraging Machine Learning for Enhanced Backtesting in Quantitative Strategies
Machine learning promised sharper signals and broader data. It also made backtesting both harder and more…
The Impact of Geopolitical Events on Factor Performance: A Quantitative Analysis
Geopolitics always sounds slow and grand until it hits the tape. Then it looks like gaps,…
Factor Models in the Age of AI: Enhancing Predictive Power for Investors
Machine learning has not replaced the classic language of factors. It has sharpened it. The practical…
Advanced Backtesting Techniques for Quantitative Strategies in Uncertain Times
Backtests are memory. They tell us how an idea would have behaved, then tempt us to…
Quantitative ETF Rotation Strategies: Adapting to Inflationary Pressures
Quantitative ETF rotation sounds like a mouthful. In practice, it is a simple idea with strict…
Passive Flows and Price Discovery: What the Evidence Actually Shows
Passive has become the default setting for many portfolios. That shift raises an old question with…
Factor Investing in a World of Changing Economic Dynamics: What to Expect
Factor investing is simple in theory and messy in practice. You target persistent patterns in returns…