Research Blog

Long-form explainers focused on contribution policy design, risk dispersion, and market-regime-aware investing.

Every article is written to help investors make better policy decisions, not to optimize for hindsight. We focus on path dependence, downside behavior, and practical implementation choices that can be maintained across changing market conditions.

A strong policy is one that remains understandable, testable, and executable under stress. Use these articles as modules that connect methodology, simulation outputs, and real-world contribution discipline.

• DCA vs Lump Sum by Market Regime

  Lump sum often leads in sustained bull markets, while DCA can reduce entry concentration and behavioral pressure in volatile or declining regimes.

• DCA in Bear Markets: Drawdown and Recovery

  Bear markets can improve long-run entry prices for contributors, but they also increase interim drawdown pain and abandonment risk.

• Sequence Risk in ETF Investing

  Two portfolios with the same average return can end with different outcomes if return order differs during contribution years.

• Contribution Timing Risk: Monthly vs Biweekly

  Contribution cadence changes entry distribution and can produce meaningful differences in drawdown, units accumulated, and long-run dispersion.

• ETF Portfolio Simulation Methodology

  Methodology quality drives simulation credibility: assumptions, constraints, and risk metrics must be explicit and reproducible.

• Rolling Window Analysis for Investors

  Rolling windows reveal whether policy performance is stable across many entry points instead of being driven by one favorable start date.

• Market Regime Framework for Long-Term Investors

  Regime frameworks help investors classify return environments and adapt interpretation of DCA outcomes to context.

• Rebalancing with Ongoing Contributions

  Ongoing contributions can be used as a low-friction rebalancing lever, reducing turnover while keeping allocations aligned to policy.