Lessons from the Hedge Fund Manager Who Charged 44% Fees
Jim Simons is considered by many as the best hedge fund manager of all time. When he passed away last year we posted how he had a hundred Ph.Ds working for him.
He charged 5% management fee and 44% performance fee, yet investors paid these astronomical fees because even after fees, no one could match his returns. What made Simons different? He filled his fund with mathematics and not fundamental analysts.
We recently found this old video of his which reminded us why we are volatility traders instead of fundamental traders.
3 Reasons Volatility Models Beat Fundamental Investing
Markets are inefficient in the short term, filled with exploitable mispricings:
Prices are driven by millions of participants with different personalities, time horizons, information, and emotions. This creates persistent mispricings in the market that volatility tools can detect and exploit.
Fundamental analysis is subjective and hard to scale:
Evaluating balance sheets, assessing management quality and examining a company’s product line, etc… relies on judgment calls that are difficult to backtest. We want everything testable, quantifiable, and free of human emotion.How do you backtest “strong leadership” or “compelling product vision”?
Fundamental trading has its limits:
Simons initially employed fundamental traders with mixed results, but his performance exploded and revolutionized the industry when he brought in pure mathematicians like Robert Mercer, Peter Brown, and David Magerman and eliminated all subjective trading. The shift from subjective analysis to statistical models created the most successful investment track record in history.
Applying Simons’ Principles
CI Volatility’s models are built on the same philosophy Simons advocated: every signal is testable, every decision is quantifiable, and emotion never enters the equation. Whether you’re trading stocks, options, or volatility products, the ability to backtest strategies and calculate probabilities for each trade is what separates systematic profits from fundamental guesswork.


