A deep understanding of market microstructure, the application of AI technology and an extreme pursuit of code performance are prerequisites for capturing profits from every market mispricing.
Cross-country asset allocation maps different phases of economic cycles against major asset classes, and major asset allocation maps economic cycles against different return profiles, while index investing reduces single-stock and single-bond risk by avoiding the moral hazard of discretionary investment managers. Through diversification across time and space, investors can enjoy the “only free lunch” in Buffett’s eyes.
Pareto Improvement Capital values discussion, shared review and research documentation.
Founded by UMich alumni, the team brings high-frequency quant fund management, strategy research and risk management experience. We emphasize open collaboration, peer review and disciplined documentation.
A research framework covering quant research, strategy development, portfolio management and risk management.
View capability →
Build a systematic research loop across strategy design, data processing, backtesting, trading review and risk management.
View capability →Define topics, data boundaries, strategy hypotheses and risk constraints for executable research plans.
Build a research framework across hypotheses, data, backtesting and risk boundaries.
Validate factor research, strategy coding, transaction cost analysis and portfolio impact review.
Review conclusions across drawdown, volatility, liquidity and position constraints.
Document reports, strategy notes and review materials for iterative research capability.
Validate hypotheses, code, backtesting logic and risk expression with discipline.
Improve research efficiency through an open team culture, discussion, collaboration and staged reviews.
Understand return, volatility, drawdown, liquidity and position constraints for institutional expression.
Turn strategy research, reports and review notes into clear, iterative research outcomes.
