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A group of Cambridge, Imperial College, Alan Turing Institute, and Mediobanca researchers, Damiano Brigo, Bo Yuan, Jack Jacquier, and Nicola Pede, have recently published...

2023 Quant of the Year

We are delighted to announce that our Founder and CEO Dr Paul Alexander Bilokon has been proclaimed the 2023 Quant Of The Year, jointly...

Takeaways from QuantMinds 2023 by Saeed Amen

The following article by Saeed Amen has been reproduced from the Cuemacro Blog with the author's explicit permission. Cuemacro is a company focused on...

Global Valuation: An Interview with Claudio Albanese

Today, Paul Bilokon (Thalesians Ltd) interviewed Claudio Albanese, a leading expert on quantitative and computational finance and Founder of Global Valuation. Claudio is also...

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Quantum Portfolio Management from the PMI (Project Management Institute) perspective

Kevin Corella Nieto, NTT DATA Centers Service Leader for Project Development/AI & Quantum Machine Learning Services, discusses quantum portfolio management from the PMI perspective. Section 1 – Evolution in Portfolio...

Quantum Computing Editor -

Forecasting Copper Price with Multi-view Graph Transformer and Fractional Brownian Motion-Based Data Augmentation

Qiguo Sun, Xibei Yang & Meiyu Zhong of School of Computer Science and Engineering, Jiangsu University of Science...

Commodities Editor -

Deep Learning Interpretability for Rough Volatility

A group of Cambridge, Imperial College, Alan Turing Institute, and Mediobanca researchers, Damiano Brigo,...

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An Interview with Neil Clive Fowler

WBS are about to run the 3rd Women in Quantitative Finance Americas Conference (WQFA)....

Finance Editor -

Takeaways from QuantMinds 2024 in London

Saeed Amen is the founder of Turnleaf Analytics and Cuemacro. Over the past fifteen...

Finance Saeed Amen -

Quantum Portfolio Management from the PMI (Project Management Institute) perspective

Forecasting Copper Price with Multi-view Graph Transformer and Fractional Brownian Motion-Based Data Augmentation

Deep Learning Interpretability for Rough Volatility

Derivatives

Deep Learning Interpretability for Rough Volatility

2023 Quant of the Year

Takeaways from QuantMinds 2023 by Saeed Amen

Global Valuation: An Interview with Claudio Albanese

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Quantum Portfolio Management from the PMI (Project Management Institute) perspective

Forecasting Copper Price with Multi-view Graph Transformer and Fractional Brownian Motion-Based Data Augmentation

Deep Learning Interpretability for Rough Volatility

An Interview with Neil Clive Fowler

Takeaways from QuantMinds 2024 in London

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