Comprehensive study guide and lecture series on Financial Engineering.
Learn numerical techniques that use random numbers to generate virtual scenarios and calculate the value of complex derivatives that are difficult to solve with closed-form formulas.
Learn about Value at Risk (VaR), the standard risk management metric for financial institutions, including its calculation methods and limitations.
Understand the principles of bond pricing and Mean Reversion through the Vasicek and CIR models, which describe how interest rates change over time.
Based on Harry Markowitz's Modern Portfolio Theory (MPT), learn the principles of optimal asset allocation to maximize returns for a given risk level or minimize risk for a specific return target.
Beyond traditional quantitative strategies, you will learn the basic concepts of machine learning, which learns non-linear patterns through massive data, and practical use cases such as algorithmic...
We look back at cases where mathematical models distorted irrational madness or extreme crises in the real world, and look at the future of financial engineering that evolves along with new trends ...