Chapter 2: Quantitative Methods

In this section

• Rates and Returns
  Rates and Returns: Explains The Many Faces of an Interest Rate and Nominal Interest Rates and Their Decomposition with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Time Value of Money in Finance
  Time Value of Money in Finance: Explains Conceptual Overview and Basic TVM Formulas with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Statistical Measures of Asset Returns
  Statistical Measures of Asset Returns: Explains Measures of Central Tendency and Arithmetic Mean with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Probability Trees and Conditional Expectations
  Probability Trees and Conditional Expectations: Explains Why Probability Trees Matter and Fundamentals of Probability and the Vocabulary We Use with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Portfolio Mathematics
  Portfolio Mathematics: Explains Why Portfolio Mathematics Matters and Calculating the Portfolio’s Expected Return with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Simulation Methods
  Simulation Methods: Explains Normal vs. Lognormal Distributions in Finance and Monte Carlo Simulation Overview with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Estimation and Inference
  Estimation and Inference: Explains Understanding Sampling Methods and Simple Random Sampling with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Hypothesis Testing
  Hypothesis Testing: Explains Hypothesis Testing Mastery: Sample Exam Questions and A p-value is best described as: with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Parametric and Non-Parametric Tests of Independence
  Parametric and Non-Parametric Tests of Independence: Explains Parametric vs Non-Parametric Tests and Testing Correlation with T-Tests (Parametric) with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Simple Linear Regression
  Simple Linear Regression: Explains The Simple Linear Regression Model and Ordinary Least Squares (OLS) Estimation with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
• Introduction to Big Data Techniques
  Introduction to Big Data Techniques: Explains Big Data and Why It Matters and Fintech and the Data Revolution with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.