About
My name is Twan Mulder, and I am 23 years old. I use machine learning and econometric techniques to tackle complex challenges in quantitative finance.
This includes problems in asset pricing, risk management, option pricing, and portfolio optimization.
However, my interests also extend beyond finance to applications in monetary economics, logistics, marketing, and healthcare.
Recently, I completed the MSc in Statistical Science at the University of Oxford.
I chose elective courses in advanced machine learning, graphical models, Bayesian statistics, and stochastic processes.
My dissertation––titled "The Mosaic of Predictability for Corporate Bonds"––investigated the heterogeneity in return predictability across individual corporate bonds,
and used machine learning to cluster bonds with similar levels of predictability. I conducted this research under the supervision of Mihai Cucuringu, Maria Grith, and Stefan Zohren.
Before that, I earned a double bachelor's degree in econometrics and economics from Erasmus University Rotterdam.
This is a competitive and small program, with only around 100 students admitted each year.
The program is part of the Econometric Institute in Rotterdam, which was founded by Jan Tinbergen––the first Nobel Prize winner in economics––and Henri Theil.
A famous alumnus is Guido Imbens, who won the Nobel Prize in economics in 2021. I graduated summa cum laude from both programs.
My thesis––titled "Spectral Factor Model for Corporate Bonds: Separating Signal from Noise"––introduced a new approach to factor modeling in the corporate bond market, under the supervision of Maria Grith.
This work has been presented at top conferences in the field of econometrics and finance, such as the main conference of the Society in Financial Econometrics (SoFiE) in 2025.
