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Library Entry
Generating Realistic Stock Market Data for Deeper Financial Research

A U-M team led by Michael Wellman, Professor of Computer Science and Engineering generate an approach to create realistic and high-fidelity stock market data to enable broader study of financial markets. February 17, 2020. #5-15-mins #Engineering #web-article #MichiganEngineerNewsCenter #Business #Economics #Finance #StockMarket #MichaelWellman ​​​​​​​​​


Library Entry
Predicting the Next Stock Market ‘Flash Crash'

U-M Industrial and Operations Engineering Professor Romesh Saigal et al. analyze the May 2010 crash to generate an intelligence system that will consider data to warn investors about disturbances in the market to take preventative measures. May 8, 2019. #5-15mins ​ #web-article #DepartmentofIndustrialandOperationsEngineering #Business #Career #Economics #Engineering #DataScience #investment #StockMarket #RomeshSaigal #AbdullahAlShelahi