BIG DATA & EMOTIONS IN ASSET MANAGEMENT
On November 24th, FinTechMeets#3 presented:
• Yves Nosbusch, Chief Economist of BGL BNP Paribas provided a brief overview of the theories of market sentiments as used so far in asset management and explain why their implementation was difficult pending the introduction of new technologies.
• Sylvain Forté presented SESAMm and explained how they use big data and machine learning to analyse emotions in asset management.
Beyond the efficient frontier: power of emotions
How Big Data uses emotions screening in asset management?
How can we capture and interpret emotions in social media channels, such as Twitter and Facebook, to predict stock market evolutions?? How developed and how reliable is in fact language analysis in defining market sentiment? What does a practical business case comparing Apple and Tesla tell us?
Listen and watch again the solutions a young start up at lux future lab has on offer:
More about the speakers:
Yves Nosbusch is Chief Economist at BGL BNP Paribas. He holds a Ph.D. in Economics from Harvard University and M.Sc. and B.Sc. degrees in Econometrics and Mathematical Economics from the London School of Economics. Before joining BGL BNP Paribas in 2012, he was on the full-time faculty of the Finance Department at the London School of Economics. He continues to teach a course on financial risk analysis to M.Sc. students at the LSE.
Sylvain Forté is CEO of SESAMm and a young engineer passionate about Artificial Intelligence. He loves creating new products and bringing teams together around more than just work. As co-founder and CEO of SESAMm, Sylvain and his team had the opportunity of creating an entirely new way of analyzing emotions to forecast stock market evolutions. SESAMm is member of lux future lab since beginning of 2016.