Articles & Video
New research, new breakthroughs, and new opportunities
What are the latest innovations by leading quants?
Five issues quants need to address in 2020
QuantMinds editor-in-chief Vincent Beard now summarises the five key conundrums on quants’ minds this year.
The right kind of volatility
Is there a right kind of volatility for market makers? And how do market makers make money?
The ups and downs of trading crypto and what’s next for blockchain?
On the nature of crypto-trading and blockchain
What's going on at QuantMinds International 2020?
We are looking forward to welcoming you in Hamburg and to the lively discussions ahead of us.
An introduction to natural language processing
From sentiment analysis to alternative data processing, NLP plays a key role in understanding markets and trends.
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.
Unexpected bug in your machine learning: how can you recover?
What went wrong when ML doesn’t work as expected, and how can you mitigate the model risk?
Microstructure and information flows between crypto asset spot and derivative markets
Which crypto instrument on which exchange is the first to incorporate new information? Where are the most informed traders located? How long do traders on other platforms have to profit from the leaders reaction to news?
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.
Around the world in 750 words: My 2020 political risk predictions column
Here is Dr. John C. Hulsman's main political risk prediction for the coming year.
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.
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
10 ways AI can supercharge trading
To what extent will artificial intelligence and machine learning alter the fundamentals of investing?
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.