Case Study: Quant Strategies Outperform the Index by Over +12%
Background
In 2022, the market suffered unprecedented volatility and uncertainty, spurred by global tensions and soaring inflation. Despite this, our quant-based strategy at MarketMovers proved to be remarkably resilient, designed to adapt to evolving market conditions and identify opportunities in real time. Our goal was simple: to consistently outperform the index, providing our clients with an edge that traditional strategies couldn’t deliver.
Objective
To exceed the benchmark index using a multi-layered quant strategy focused on high-growth equities and data-driven assets. Using our patented strategy, we sought to capture hidden value while limiting risk, consistently keeping ahead of the market.
Solution
Our approach integrated statistical analysis, algorithmic trading signals, and a factor-based model that continuously evaluated equities based on a variety of performance measures. Unlike traditional passive methods, which may merely track major indexes, our approach dynamically selects stocks with great growth potential using predictive patterns, assuring alignment with both market trends and company-specific fundamentals.
Execution
Over 12 months, our quant model analyzed a vast dataset, including historical prices, sentiment analysis, and macroeconomic variables. We employed the following methods:
–Dynamic Portfolio Adjustments: Monthly rebalancing based on emerging data and market conditions, avoiding overreliance on specific sectors.
–Factor Analysis: We focused on momentum, growth, and value factors that maximized exposure to equities with high intrinsic value and momentum.
–Risk Management Controls: Advanced volatility targeting and downside protection helped reduce risk in turbulent periods.
Results
*Annual Return: 24.5%, compared to the index return of 11.7%
Outperformance: 12.8% above the index, consistently achieved across various sectors
Volatility: 9% lower than the benchmark, underscoring the strategy’s resilience
Key Takeaways
Our quant strategy’s data-backed precision enables MarketMovers clients to realize a consistent performance advantage over the market index, underscoring the power of using quant models to decode complex market signals and capture growth.
*We deploy more than 21 strategies based on risk profile and other factors- example strategy shows low risk less than -4% drawdown