Quantitative finance continues to debate the reliability and limits of model-driven investment strategies. Read more here.

In the study “Human-AI Synergy in Statistical Arbitrage: Enhancing Robustness Across Volatile Financial Markets,” published in the journal Risks, the researcher investigates how combining AI with ...

Using data from 421 active quantitative funds in China from January 2015 to March 2024, we design a homogenization measurement method from the perspectives of return rates and Sharpe ratios, ...

Are you still trading cryptocurrency manually? In today’s fast-moving crypto market, relying on manual analysis and constantly watching complicated trading interfaces can quickly put you at a ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

When war hits the headlines, investors immediately ask what it means for markets. The interesting thing is that markets have usually already answered the question.

Because even as AI redraws workflows and entire professions, the core of work remains human. Meaning, responsibility, trust – ...

Does your board really care about model risk? Not in the abstract, or in carefully scripted assurances that governance is robust and controls are strong. The better question is whether the board, and ...

Lithium was supposed to be soft. The metal bends easily in bulk form, stretches before it breaks, and deforms the way you ...

A new way to solve data scarcity: Turning qualitative reports into quantitative data with an LLM.

Discover how quantitative analysts, or quants, use advanced mathematical models to predict market trends and identify lucrative investment opportunities.

Read more about Can AI think like experts? Mapping human decision structures to guide alignment on Devdiscourse ...