Research Projects

Entrant Type and Incumbent Network Upgrades

Yong Paek, Yongjoon Park, Ellie Price, Ethan Robertson, and Paroma Sanyal · Prepared for TPRC 2026 · Work in progress

Whether the type of broadband entrant affects an incumbent cable operator's decision to undertake a discrete network upgrade. Using eight semiannual vintages of the FCC's Broadband Data Collection (June 2022–December 2025), we estimate fixed-effects and event-study models of symmetric-gigabit cable deployment, testing whether incumbent upgrade responses differ between fiber and fixed-wireless entrants. The observational design does not establish that entry causes upgrading.

Land Finance in China

A comprehensive analysis of how the Chinese land finance system shapes the real estate market and potential future changes. This research project examines the intricate relationship between local government financing, land sales, and real estate development in China.

Macro Sensitivity Analysis

Fama-MacBeth two-pass regression estimating the sensitivity of 316 U.S. financial and banking firms to macroeconomic factors. Implemented in R.

Data Analytics Projects

Bayern Munich Managerial Regimes

Bai-Perron structural break tests applied to FC Bayern Munich match data to identify regime changes across managerial tenures. Write-up in progress.

Applying the Elo System to Soccer

Development of a predictive model that achieves 88% accuracy in forecasting match outcomes using the Elo rating system. This project demonstrates expertise in sports analytics and predictive modeling.

Algorithmic Trading Strategy

Development and optimization of the Donchian Channel Breakout Trading Strategy for the Ethereum Market (ETHUSDT).

Monte Carlo Simulation of the 2024/25 UCL Knockout Stage

Forecasting UEFA Champions League outcomes and developing an optimal betting strategy through Monte Carlo simulation and Elo ratings.

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