Articles & Video
What does 2020 have in store for quant finance?
Understanding new trends, challenges, and solutions
Machine learning with quantum annealing
2018 Quant of the Year Alexei Kondratyev shares his passion for machine learning and quantum computing.
Learn this about options: Pricing is hedging
PhD Candidate at École Polytechnique Marcos Costa Santos Carriera takes a look at applying Q-Learning to option pricing, and its impact on hedging strategies.
What will risk management look like after IBOR 2021?
ISDA representatives at RiskMinds International 2019 explore the IBOR transition and the impact on FRTB.
From emotions to decisions – a framework for using big data in portfolio management
A case study in using alternative data by SESAMm and La Française Investment Solutions.
How to achieve inclusivity in an exclusive sector?
Women make up less than 10% of quant finance professionals, so how can you get those numbers up?
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
What’s the best language for machine learning?
Python vs R – Erdem Ultanir, Quantitative Credit Risk Analytics Lead at Barclays, evaluates the two languages
The lookout on risk management and quant trading
In this compilation of articles, FutureQuantMinds talk about the challenges that the risk side of quant finance will meet
When “best strategies” fail
Those best investment strategies you may have heard of… How do you know they’re the best? (They’re not!)
10 ways AI can supercharge trading
To what extent will artificial intelligence and machine learning alter the fundamentals of investing?
Accessing new trends in quant finance
How will alternative finance and QuantTech development change the quant finance landscape?
How can quants find value in volatile markets?
What needs to be done in terms of portfolio reallocation, de-risking, and finding noncorrelated sources of return given the current market backdrop?
Three innovative strategies and digital technologies to know and manage your customers’ risk appetite
Aymeric Kalife, Paris Dauphine University and iDigital Partners, explores technology to revamp investment strategies.
The next evolutionary step for quant finance
Computational intelligence, cutting-edge data science, and complex machine learning
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.
Listening to the financial heartbeat with agent-based models
How the study of agent-based models in directional-change intrinsic time can help you avoid another Flash Crash
Cryptography in the quantum age
Ananth Raghunathan, Senior Research Scientist at Google presents the challenges facing cryptography when quantum computers become viable, and shares the state-of-the-art work done by academics, industry, and standards bodies on building quantum-secure cryptosystems for the future at QuantMinds International 2019.
Quant finance’s machine learning journey: Are we there yet?
In which practitioners and academics weigh in on machine learning applications and its development in finance.