Nine Quantitative Strategies and Their Sources of Return
Summary
The article gives a high-level taxonomy of nine quantitative approaches and the market effects each seeks to exploit. Trend following aims to capture persistent moves; mean reversion trades price dislocations around an average. Value and growth models screen fundamentals, while event-driven strategies respond to corporate news. Macro models position around economic cycles, and high-frequency trading or market making seeks small spreads by supplying liquidity. The overview also covers alternative data, diversification across lower-correlated assets, and arbitrage or relative value based on pricing gaps.
Examples illustrate the ideas, such as shifting asset exposure with economic conditions or comparing a company’s valuation and growth with peers. These are conceptual descriptions rather than tested strategy specifications: the article provides no implementation rules, performance evidence, transaction-cost analysis, or risk estimates. Its framing of each approach as earning a distinct kind of return simplifies strategies that can have overlapping exposures and substantial execution, data, and regime risks.
Key ideas
- Trend following seeks gains from sustained market moves, while mean reversion trades reversals toward an average.
- Fundamental, event-driven, and macro strategies use company data, news, and economic conditions to guide positions.
- High-frequency trading and market making seek small spreads through liquidity provision and fast execution.
- Alternative data may provide signals not yet reflected in prices.
- Portfolio diversification and relative-value strategies target lower combined risk or temporary pricing gaps.
- The article provides a conceptual taxonomy rather than tested evidence or detailed trading rules.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.