Wednesday webinar at one: Economic and financial forecasting in data-rich domains: Pitfalls and challenges

Wednesday 28 February 2024 | 13:00 - 13:40 | Webinar

This webinar has been organised by CFA UK's Data Science and Machine Learning working Group

Ever contemplated the intricacies of traversing the alternative data realm? And how do you effectively leverage machine learning to enhance the predictive accuracy of models?

While alternative data has become readily available and accessible, its utilisation presents its own set of challenges. Alexander Denuv will guide you on the proper application of alternative data, transforming it into an invaluable source for heightened predictive performance in the financial and economic domain.

In this webinar you will:

  • Understand what alternative data is and its applications
  • Understand how to scout, sieve through and filter the relevant alternative data sources
  • Define a process of employing alternative data into machine learning models


Registration: 12:55
Event: 13:00 - 13:40


Alexander Denev, Co-Founder, CEO and Head of R&D, Turnleaf Analytics

With over two decades of experience in the area, Alexander Denuv specialises in designing and implementing trading strategies based on alternative data.

Alexander’s work at Turnleaf Analytics explores the complexities of market and economic variables and is facilitated by the innovative use of machine learning to model these intricate relationships cohesively. He has been a driving force behind the creation of big-data driven financial models in the domain of inflation forecasting, leveraging his experience and expertise in quantitative methodologies and artificial intelligence.

Alexander is also a regular contributor in academia, having served for many years as a visiting lecturer at the University of Oxford. He has co-authored books such as The Book of Alternative DataPortfolio Management under Stress, and Probabilistic Graphical Models – a New Thinking in Financial Modelling where he focusses on how alternative data and machine learning can disrupt a very traditional field – that of macroeconomic forecasting.

Prior to his role at Turnleaf, Alexander held several key positions, including Head of Artificial Intelligence at Deloitte LLP, Financial Services, and Head of Quantitative Research & Advanced Analytics at IHS Markit.

Alexander currently sits as a member on the AI Advisory Committee for the Global Association of Risk Professionals (GARP).

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