Taek Pae
Lecturer of Finance and Director of Margolis Market Information Lab
Contact
1029 B Business Instructional Facility
515 Gregory Dr
Champaign, IL 61820
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
- 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
- Research Advisor, Meeder Investment Management, 2022 to present
- Director of Research, Meeder Investment Management, 2021-2022
- Analyst, Allianz Global Investors, 2005-2007
Recent Publications
- 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 >
- 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 >
Other Publications
Articles
- 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.
Current Courses
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Investment & Portfolio Mngt (FIN 411) Current theories of portfolio management are covered in considerable detail to provide a conceptual framework for the evaluation of investment strategies. Applications and implementation are covered in depth, including performance evaluation and international diversification.
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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.
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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. 2 graduate hours. No professional credit. Credit is not given for FIN 503 and FIN 580: Section QM2, (68387). 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.
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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.
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Data Science & Python for Fin. (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.
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Adv. Data Sci & Python for Fin (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.
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Data Science & Python for Fin (FIN 580) Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites.
Contact
1029 B Business Instructional Facility
515 Gregory Dr
Champaign, IL 61820