Articles & Video
Through the hedge and backwards - QuantMinds eMagazine Q2 2021
Bringing investment strategies, financial models, and mathematics up to speed
Building up accountability in algorithmic credit scoring
The main benefits derived from algorithmic credit scoring are anticipated to focus on increased efficiency and certainty in decision-making associated with granting loans. But there are also limitations...
How quants and actuaries can team up for the valuation of complex derivatives
With the introduction of exotic derivatives, we abandon the existence of a replicating portfolio and therefore valuation becomes problematic and ambiguous.
Practical insight into black basket analytics for mid-curves and spread-options and trading crypto asset volatility
Featuring key sessions from the Pricing, Trading, and Volatility day.
Looking forward to backward-looking rates: Modelling and calibrating the volatility decay
From QuantMinds in Focus 2021, Interest Rate & IBOR day.
Quant techniques in focus: Alpha generation with ML and backtesting FX options trading strategies in Python
We’re sharing key sessions from the Alpha & Quant Investing day.
AI & machine learning applications in FX markets, exotic derivatives, and ESG insights
Session recordings from QuantMinds in Focus, AI & ML day
Generalized integral transforms in mathematical finance
Classical problems of financial mathematics recently attracted a lot of attention due to several factors.
Optimal VaR adaptation in transient environments
Although potential remedies have been available for some time, the concrete implementation of solutions in running VaR systems seems to be more challenging.
Spoil the magic: Machine-learning in finance
Every futuristic statement about fintech feels compelled to invoke the incantation of ‘AI & Big Data & Blockchain’. Roald Dahl did say, “those who don’t believe in magic will never find it”, but has the financial services industry lost its unsentimental, hard-headed knack for disbelief?
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
Rethinking multi-asset portfolio strategies to capture velocity changes
Going beyond the passive vs. active asset management paradigm, a mix between fundamentals and systematic quantitative investment strategies may be appropriate to help capture velocity changes.
How should banks be handling the IBOR transition?
An interview with Suman Datta, Head of portfolio, Quantitative research, Lloyds Bank
QuantMinds 2021 calendar
Virtual learning opportunities and in-person get togethers for the quant finance community.
AI explainability and adoption challenges: Thoughts from the AI & ML Summit
What’s standing in the way of artificial intelligence adoption?
From scarce to large data and back: machine learning in finance
Fuelled by data, machine learning methods require an efficient handling of massively large datasets. But what are the challenges posed by datasets themselves?
Fairness in AI and machine learning
How can financial institutions mitigate issues in AI & ML bias and maintain public trust?
The future is bright... for those who survive
Last year we caught up with Marcos Lopez de Prado, talked about his book Machine Learning For Asset Managers, and predicting black swan events.
Derisking AI by design: How to build risk management into AI development
The compliance and reputational risks of artificial intelligence pose a challenge to traditional risk-management functions. Derisking by design can help.