ARQuant’s Edge: Boosting Market Beta
Portfolios Through Superior Risk-Adjusted
Returns
ARQuant’s Edge: Boosting Market Beta Portfolios Through Superior Risk-Adjusted Returns
Summary
We are pleased to present our first white paper, titled “ARQuant’s Edge: Boosting Market Beta Portfolios Through Superior Risk-Adjusted Returns.” This paper explores how ARQuant’s algorithmic trading strategy can achieve superior risk-adjusted returns, particularly when combined with traditional market portfolios like such as the S&P 500.
By systematically optimizing Sharpe and Sortino ratios across various estimation methods and time periods, we found that allocating 30% to and 70% of a portfolio to the ARQuant strategy can significantly enhance the performance of a market beta core. These blended portfolios consistently outperform popular ETFs (e.g., SPY, QQQ, etc.) in key metrics such as volatility, drawdown, and return efficiency.
The full Article can be found here: ARQuants Edge: Boosting Market Beta Portfolios