Research field: Financial Mathematics, Probability and Statistics
Professor: Doobae Jun
Rearch description:
My research revolves around the intersection of mathematical modeling, finance, and data analytics. I explore various aspects of financial mathematics, with a primary focus on derivatives pricing and risk management. This involves developing and refining mathematical models to estimate the fair value of financial instruments such as stocks, options, and real estate derivatives.
I investigate the intricacies of option pricing models, including Black-Scholes, binomial models, and more advanced approaches like stochastic volatility models. In addition to pricing, I also delve into risk assessment and hedging strategies to help financial institutions and investors mitigate potential losses.
My work goes beyond traditional asset classes and extends to real estate derivatives, where I apply mathematical techniques to evaluate and manage the risk associated with real estate investments and derivative contracts tied to property values.
Furthermore, I leverage cutting-edge data analysis techniques, machine learning, and statistical methods to enhance the precision and predictive power of these models in dynamic financial markets. My research aims to contribute to the development of robust pricing models, risk assessment tools, and strategies for both academics and practitioners in the field of financial mathematics.