周教授CFA金融课程：2019 CFA Level II Quantitative Methods for Valuation 

STUDY SESSION 3 Quantitative Methods for Valuation

This study session opens with coverage on how financial technology (fintech) is affecting areas within the investment industry, such as investment analysis, auto- mated advice, and risk management. Correlation analysis, linear regression with one and multiple independent variables, and time-series analysis as tools for identifying relationships among variables are then introduced. The fundamental elements of all three are presented beginning with correlation analysis. Regression, using one or more (independent) variables to explain or predict the value of another (dependent) vari- able, is explored next. Common machine learning techniques and their applications are explored. Time-series analysis, in which the dependent variable’s past values are included as independent variables, follows. The session concludes with coverage of probability-based techniques for assessing risk, with a focus on simulation models.

READING ASSIGNMENTS

Reading 6 Fintech in Investment Management

Reading 7 Correlation and Regression

Reading 8 Multiple Regression and Issues in Regression Analysis 

Reading 9 Time-Series Analysis

Reading 10 Excerpt from “Probabilistic Approaches: Scenario Analysis, Decision Trees, and Simulations”

Exam Weight: 5-10%

Quantitative Methods 定量分析