My story

My background in business, while providing a strong foundation in finance and economics, presented a unique challenge when I began my PhD. The sophisticated statistical theories underpinning financial econometrics proved to be a steep learning curve, even more so coming from an undergraduate program that didn't emphasize the deeper mathematical underpinnings. I vividly recall the initial struggle to master these concepts. It demanded a significant investment of time and effort. In fact, I dedicated a substantial portion of my early PhD years to immersing myself in lecture notes, textbooks, and research papers. I also actively sought out additional coursework, both on campus and online, to solidify my understanding. This wasn't simply about memorizing formulas; it was about developing a deep, intuitive grasp of the underlying mathematical principles, particularly in areas like mathematical analysis and linear algebra, which are often less emphasized in business-focused curricula. It was a demanding, sometimes frustrating, but ultimately rewarding process. Now, as a fourth-year PhD candidate, I can confidently say that I've made significant progress in mastering these statistical foundations, equipping me to tackle the complex challenges of my research.


Useful Books

Useful Lectures

Useful Lecture Notes