Asset Pricing Model Learning Guide
This guide systematically outlines the theoretical framework and practical applications of asset pricing models, covering core assumptions, mathematical foundations, model construction, risk-return relationships, market efficiency, application cases, and theoretical evolution, constructing a knowledge framework from fundamentals to advanced levels.
Theoretical Foundation of the Asset Pricing Model
The Basic Framework and Core Assumptions of the Asset Pricing Model
- Basic Framework of Asset Pricing Models: Includes Asset Classification, Sources of Income, and Definition of Risk Factors
- Core Assumptions Analysis: Market Efficiency Assumption, No Arbitrage Principle, and the Positive Correlation Between Risk and Return
- Case Study Application: Decomposition Method of Risk Factors in CAPM Model
- Extended Thinking: Impact of Assumption Conditions on Model Results
Mathematical foundation and axiomatic system of Asset Pricing Theory
- Mathematical Axiomatic System: Expected Utility Theory, Risk-Neutral Assumption, Additivity of Utility Functions
- Linear Algebra Applications: Portfolio Covariance Matrix, Linear Combinations of Returns
- Foundations of Probability Theory: Mathematical Derivation of Conditional Expectation and Risk Premium
Asset Pricing Model Construction and Parameter Setting
Construction and Parameter Setting of Asset Pricing Models
- Model Construction Steps: Determine Asset Classes, Risk Factors, and Return Structure
- Parameter Setting Method: Beta Coefficient and Risk Premium Calculation in CAPM
- Parameter Sensitivity Analysis: Elasticity of Yield Volatility and Risk Premiums
- Empirical Case Study: Using the CAPM Model to Analyze Stock Excess Returns
Analysis of the Relationship Between Risk and Return in Asset Pricing Models
Asset Pricing Model's Market Efficiency and Practical Applications
Market Efficiency and Practical Application of Asset Pricing Models
- Three Forms of Market Efficiency: Strong Form, Weak Form, and Semistrong Form
- Challenges in Practical Application: Information Asymmetry, Transaction Costs, and Market Friction
- Model corrections in practice: introducing liquidity premium and transaction volume effect
- Cross-domain application: Extension of Asset Pricing Models to Derivative Pricing