Systematic investment approach update: August 2024

Traditional volatility models often lag real market shifts, leaving portfolios vulnerable. Our new Quanta Byte introduces State-dependent Risk (SDR) - a dynamic approach that adapts faster to evolving conditions. By leveraging historical patterns and similarity measures, SDR more accurately forecasts volatility, helping investors navigate risk and protect their ascent.

Challenging entrenched biases, this special International Women's Day Quanta Byte decodes the myth of meritocracy in finance. Featuring insights from Prof. Renée Adams and Ola Mahmoud, discover how data dismantles stereotypes and reveals why perceptions of women in finance often stray from reality.

Factor investing has long explained market behavior, but its flaws—timing dependencies, rigid linearity, and backward-looking assumptions—limit predictive power. Can AI overcome these? This Expl(AI)ning episode dissects factor evolution, their pitfalls, and how machine learning enables dynamic models. Dive into quantitative investing’s future.

Focusing on the hit rate: not every trade needs to be a winner. Like Federer’s 54% point success that translates into 80% match wins, flipping losing positions can amplify returns. Our latest Quanta Byte explores how even modest improvements in selection can propel consistent portfolio outperformance across market cycles.

AI has dominated games like chess and Go, but the markets are far more complex. In our latest Expl(AI)ning article, we explore why investing’s complexity remains unmatched, where AI stands today, and what’s next for finance.

In our latest Quanta Byte, delve into the details and uncover the mathematical foundations of convolutions, their links to AI, and how advanced techniques like the Fast Fourier Transform are driving new efficiencies in computation and quantitative finance.