Create Early-Warning Technologies for Bubble using Financial Big Data

Presto Researcher


Takayuki Mizuno

Research Organization of Information and Systems
Associate Professor

Research Outline

I analyze more than 100 million financial news that was aggregated from sources all over the world and asset price movements in major financial markets by applying techniques in physics, statistics, machine learning, NLP, macroeconomics. I develop “Bubble & Crisis Early Warning System” based on statistical laws of economic bubbles and crisis. I show pave the way for data-driven monetary policymaking.

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