FRM Part 1 - Book 2 - Quantitative Analysis

About this course

In this detailed course, Prof. James Forjan, PhD, with his wealth of experience spanning over 25 years in teaching business at the college level, offers an in-depth summary of each chapter from the "Quantitative Analysis" book. This course is specifically tailored for candidates preparing for the FRM Part 1 exam, ensuring they grasp all the essential quantitative concepts needed for success in financial risk management.Starting with the 'Fundamentals of Probability', the course builds a solid foundation, essential for understanding more complex statistical concepts. It then progresses to 'Random Variables', exploring their nature and significance in quantitative analysis. This is followed by a thorough discussion on 'Common Univariate Random Variables' and 'Multivariate Random Variables', crucial for comprehending the dynamics of risk factors in finance.The course also covers 'Sample Moments', providing insights into how sample data can be used to infer population characteristics. 'Hypothesis Testing' is another critical chapter, teaching students to test assumptions and theories in a rigorous, statistical manner. Then, it delves into 'Linear Regression', a fundamental tool in financial modeling, followed by 'Regression with Multiple Explanatory Variables', which helps in understanding the relationships between various financial variables.'Regression Diagnostics' is included to ensure students can assess the validity and reliability of their regression models. The course also addresses time series analysis with chapters on 'Stationary Time Series' and 'Nonstationary Time Series', both of which are pivotal in financial data analysis, particularly in modeling and forecasting financial time series data.Additionally, the course covers 'Measuring Return, Volatility, and Correlation', essential for risk and portfolio management. Lastly, it includes advanced topics like 'Simulation and Bootstrapping', providing students with modern techniques used in risk modeling and decision-making under