Speaker "Revant Nayar" Details Back
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Name
Revant Nayar
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Company
FMI Technologies
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Designation
CTO
Topic
FMI is the new AI
Abstract
Machine learning has so far underperformed at time series prediction and classical methods are ineffective at capturing nonlinearity. We share an alternative approach (FMI) that is faster, more transparent and does not overfit. It also captures regime changes in the time series and systematically captures all the nonlinearity of a given dataset. We provide examples from equity and commodity pricing time series where FMI outperforms all alternative methods- classical, Bayesian, Monte Carlo and AI driven. We provide some intuition for why our technique works, and end with discussing various applications beyond time series.
Profile
Revant Nayar is currently Principal and CTO at FMI Tech, among the first quantum AI based quantitative hedge fund and Research Affiliate at Stony Brook University. He started his career as a theoretical physics researcher at IAS and Princeton University with a specialty in quantum field theory and string theory, where he started FMI Tech as a think-tank applying cutting edge innovations in quantum and classical physics to data science and quantitative finance. Subsequently, he served as Research Fellow at NYU Tandon where he developed the first ever group theoretic method to compute options pricing density functions with Peter Carr.
In 2021, he became among the first fund managers applying quantum alternatives to AI to asset management starting with the Indian market and recently expanding to the US market. He has over the years been featured as speaker and panellist at the leading finance and AI conferences including Bloomberg, Strata, Global AI Conference, YPO, NYU and EMEX. He also runs among the largest econophysics research collaborations in the world (FTERC), bringing students, researchers and professors from top universities around the world to generate research at the intersection of physics, mathematics and quantitative finance. Today he is widely regarded as a trailblazer in quantum and econophysics-inspired approaches to asset and risk management and among the promising emerging quant fund managers.