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

The findings reinforce growing discussions among policymakers globally about balancing retail participation with adequate ...

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 ...

First Proof is an effort to see whether LLMs can contribute meaningfully to pure mathematics research. The dust has settled on round one, and the results are surprising ...

Leo Martinez taught himself to code, built trading algorithms, and realized the same infrastructure could solve a different ...

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 ...

Swing Left is trying to revitalize Democrats’ outmoded ground game with ‘deep canvassing’ ahead of midterms ...

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

SK Group Chairman Chey Tae-won urged Korea to redesign its growth model so the country can achieve economic growth and reduce social costs ...

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 ...

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Using lessons they learned in the classroom, the students spent 24 hours developing a solution that impressed the judges with ...