Taek Pae

Taek Pae

Lecturer of Finance and Director of Margolis Market Information Lab

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Contact

1029 B Business Instructional Facility

515 Gregory Dr

Champaign, IL 61820

217-244-1848

ypae@illinois.edu

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Listings

Educational Background

  • Ph.D., Quantitative Finance, Stuart School of Business, Illinois Institute of Technology, 2010
  • M.S.F., Investments, Stuart School of Business, Illinois Institute of Technology, 2009
  • M.A., Business, Korea Advanced Institute of Science and Technology, 2005
  • B.S., Physics, Pohang University of Science and Technology, 2003

Positions Held

  • Research Advisor, Meeder Investment Management, 2022-2024
  • Director of Margolis Market Information Lab, Finance, University of Illinois at Urbana-Champaign, 2022 to present
  • Lecturer of Finance, Finance, University of Illinois at Urbana-Champaign, 2022 to present
  • Director of Research, Meeder Investment Management, 2021-2022
  • Analyst, Allianz Global Investors, 2005-2007

Recent Publications

  • Choi, W., Pae, T., & Lee, N. (2025). How Does Political Risk Affect Cash Holdings in Fintech Firms? Applied Economics Letters, Taylor and Francis.  link >
  • Pae, T., & Choi, S. (2024). The Economic Costs of Delaying the Impeachment of South Korean President Yoon. The Diplomat, Diplomat Media Inc.
  • Atra, R., & Pae, T. (2023). Should Glidepaths be Gender Specific. Journal of Wealth Management.  link >
  • Pae, T., & Baek, S. (2022). Does leveraged stock buyback improve firms’ profitability? Applied Economics Letters, 29 (10), 939-946.  link >

Other Publications

Articles

  • Lee, N., Choi, W., & Pae, T. (2021). Market efficiency in foreign exchange market. Economics Letters, 205.  link >
  • Pae, T., & Atra, R. (2020). Rules of thumb versus industry glide paths: Some bootstrapping evidence. Journal of Investing, 29 (3), 23-37.  link >
  • Pae, T., & Sabbaghi, N. (2019). Strategies for choosing an uncertainty budget in log-robust portfolio management. International Journal of Financial Engineering, World Scientific, 6 (2).  link >
  • Pae, T., & Atra, R. (2018). HIFO by asset type. Journal of Wealth Management, 21 (1), 30-43.  link >
  • Pae, T., Bae, S., & Lee, N. (2018). Idiosyncratic volatility and cash flow volatility: New evidence from S&P 500. International Review of Financial Analysis, ScienceDirect, 56 127-135.  link >
  • Atra, R., & Pae, T. (2015). Volatility and HIFO accounting. Journal of Financial Planning.
  • Pae, T., & Sabbaghi, N. (2015). Equally weighted portfolios vs. value weighted portfolios: Reasons for differing betas Journal of Financial Stability.
  • Atra, R., & Pae, T. (2014). Likely Benefits from HIFO Accounting. Journal of Financial Planning.
  • Pae, T., & Sabbaghi, N. (2014). Log-robust portfolio management after transaction costs OR spectrum.

Honors and Awards

  • Best paper award, MBAA International, 2025

Grants

  • What Annuity Would You Like to Have Sir?, TIAA, 2024-2025

Service

  • Reviewer, Academy of Finance, 2024 to present
  • Board member, MBAA, Academy of Finance, 2024 to present
  • Director of Doctoral paper competition, Illinois Economics Association, 2023 to present

Current Courses

  • Introduction to Finance (FIN 500) Introduction to financial management and decision making. A customized course, designed to provide a survey of finance for graduate students who do not necessarily have previous training in the disciplines. Different sections of the course will cover different sets of topics.

  • Quantitative Finance (FIN 502) Quantitative methods used for financial decision making. Topics include elements of statistics, mathematics, and specific analytical tools used in the study and practice of finance.

  • Quantitative Finance II (FIN 503) This course covers topics in time series analysis with an emphasis on applications. It is intended to prepare MSF students for more advanced courses in finance. This course provides some basic knowledge of financial time series data. It also introduces models and methods widely used by academics and practitioners. The purpose of this course is to understand proper use and limitations of econometric methods in applied time series analysis.

  • Data Science & Python for Fin (FIN 558) Focuses on introducing Python for financial analysis. It provides a detailed understanding of Python basics. Students will apply Python in solving problems in corporate finance and performing investment analysis. Topics include capital budgeting decisions, equity valuation, risk and return, portfolio optimization, and technical trading strategies.

  • 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.

Contact

1029 B Business Instructional Facility

515 Gregory Dr

Champaign, IL 61820

217-244-1848

ypae@illinois.edu

Google Scholar

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