Articles & Video
How to tackle market challenges in quant finance?
Insights from QuantMinds International and beyond
Faster, more accurate pricing using polynomial approximations
Introducing a fast and generic expansion of discounted moments of stochastic processes that is applicable to a wide array of pricing problems.
21st century finance: How will quants lead the way?
With QuantMinds International approaching fast, we at QuantMinds HQ are very excited to be talking to experts to discuss their upcoming presentations and find out more about their latest research.
Through the hedge and backwards - QuantMinds eMagazine Q2 2021
Bringing investment strategies, financial models, and mathematics up to speed
From investment strategies to tech and regulation: what did the experts at QuantMinds International say?
What’s being discussed at QuantMinds International? Our speakers joined us for a quick Q&A to talk about key issues in their fields of expertise.
How are quants addressing new regulation and technology?
Quantum computing, AI & ML fairness, IBOR reform
Building the future of quant finance
Key insights from QuantMinds International 2020
Truly Explainable AI: Putting the “Cause” in “Because”
There are two serious problems with state-of-the-art machine learning approaches.
Staying afloat: How is quant finance changing under Covid-19?
Is the worst behind us? Or is it still to come?
New research, new breakthroughs, and new opportunities
What are the latest innovations by leading quants?
Differential machine learning
Unreasonably effective pricing and risk approximation by automatic differentiation (AAD) combined with machine learning (ML)
Innovations in quant trading strategies and modelling
People and markets have changed hugely, and quants need to adapt to this new equilibrium. Therefore, innovation, both technological and strategic, are in the spotlight in this QuantMinds eMagazine.
What are the latest innovations in quantum machine learning?
Alexei Kondratyev, Managing Director, Global Head of Data Analytics, CCIB, Standard Chartered Bank, summarises the most promising breakthroughs in quantum computing and applications of quantum information theory, while exploring the opportunities that this presents quant finance.
Machine learning with quantum annealing
2018 Quant of the Year Alexei Kondratyev shares his passion for machine learning and quantum computing.
What does 2020 have in store for quant finance?
Understanding new trends, challenges, and solutions
What’s the one thing that will disrupt quant finance the most?
QuantMinds International thought leaders talk about the biggest game-changers in the industry!
Artificial intelligence, machine learning, and data in quant finance
In this compilation of articles, FutureQuantMinds explore AI, ML, and the impact of data on quant finance
Another STAC-A2 record for Intel – what are these guys doing?
James Reinders, James Reinders Consulting, reviews some of the research done by the Securities Technology Analysis Center (STAC) to find the best solutions that allow quant finance to enter its next evolutionary phase.
How to survive the new challenges in quant finance?
The latest QuantMinds eMagazine delves into the use of machine learning, alternative data, blockchain applications, diversity, and more!
Demystifying AAD – what is the role of adjoint algorithmic differentiation in quant finance?
Leading quant finance experts show us what adjoint algorithmic differentiation means for this sector