Xing Gao

Xing Gao

Teaching Assistant Professor of Finance

  • Email

Contact

109 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

hgao12@illinois.edu

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Listings

Educational Background

  • Ph.D., Economics, Financial Economics, University of Illinois at Urbana-Champaign, 2019
  • M.S., Statistics - Data Science, University of Illinois at Urbana-Champaign, 2018
  • B.A., High Honors, Economics, University of Texas at Austin, 2013
  • B.A., Mathematics, University of Texas at Austin, 2013

Positions Held

  • Adjunct Teaching Assistant Professor, University of Illinois at Urbana-Champaign, 2019 to present

Current Courses

  • Big Data Analytics in Finance (FIN 510) Recent trends in "big data" present both enormous challenges and opportunities for businesses. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in the context of financial and economic analysis. Covered tools include data visualization, machine learning, regression analysis, randomized trials, A/B testing, and quasi-experiments. Students will apply these tools using R programming within the Amazon Web Services cloud computing environment.

  • Big Data Analytics in Finance (FIN 550) Recent trends in "big data" present both enormous challenges and opportunities for businesses. This course introduces concepts and techniques of data analytics and shows how they can be used for making predictions, and to distinguish between correlation and causation, in the context of financial and economic analysis. Covered tools include data visualization, machine learning, regression analysis, randomized trials, A/B testing, and quasi-experiments. Students will apply these tools using R programming within the Amazon Web Services cloud computing environment.

  • Financial Data Mgt. & Analysis (FIN 557) Proper data handling and management is essential to the success of data analysis. The primary goal of this course is to learn principles and practices of data management with an emphasis on working with financial databases. Students will gain practical skills in data storage, data preparation, and data extractions that eventually lead to data analysis. Data management procedures including SQL queries, and data analysis techniques using large-scale statistical software are presented.

  • Adv. Data Sci & Python for Fin (FIN 559) Provides an advanced understanding of Python and data analytics tools to solve problems in finance. Students will analyze data and solve real-world problems such as investigating market responses to earnings announcements, comparing value and growth investing, forecasting stock prices, predicting bankruptcy, and estimating house prices.

  • Data Science & Python for Fin (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.

  • Adv. Data Sci & Python for Fin (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.

  • Financial Data Mgt. & Analysis (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.

Contact

109 Wohlers Hall

1206 S Sixth St

Champaign, IL 61820

hgao12@illinois.edu

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