1.1 Diffusions & Diffusion Models
1.2 Ito's Lemma
1.3 Q&A with Aaron & Kaylea Ito's Lemma & Stochastic Calculus
1.4 Q&A with Aaron Variances
1.5 Solving Stochastic Differential Equations
2a.1 Equity Premium and Risk
2a.2 Time Varying Risk Premium
2a.3 The Cross Section of Stock Returns
2a.4 Facts Summary
2b.1 A Preview of Asset Pricing Theory
2b.2 Understanding P E(Mx)
3.1 Overview
3.10 Q&A with Ben_ Where is the Hyperbola
3.11 Random Walks & Time-Varying Risk Premiums
3.12 General Equilibrium and Causality
3.13 Summary
3.2 Meet the Players, part 1
3.3 Q&A with Ben_ Stocks That Don't Pay Dividends
3.4 Meet the Players, part 2
3.5 Risk Free Rate and Macroeconomics
3.6 Q&A with Ben_ What about Reality
3.7 Consumption and Risk Premiums
3.8 Risk Premiums & Betas
3.9 Mean Variance Frontier and Roll Theorem
4a.1 States & Complete Markets
4a.2 Q&A with Ben_ Does S have to be finite
4a.3 Discount Factor in Complete Markets
4a.4 Risk Neutral Probabilities in Complete Markets
4a.5 Q&A with Aaron_ Uniqueness
4a.6 Investors in Complete Markets
4a.7 Risk Sharing in Complete Markets
4a.8 State Space Geometry
4a.9 Complete Markets Summary
4b.1 Discount Factor in Incomplete Markets
4b.2 Theorem 1_ What It Does and Does Not Say
4b.3 Positive M & Arbitrage
4b.4 Theorem 2_ What It Does and Does Not Say
4b.5 Formulas for X
5a.1 Classic Approach
5a.2 State-Space [Hansen-Richard] Approach
5a.3 Comparing Frontiers
5a.4 Q&A with Aaron
5a.5 Q&A with Ben
5a.6 Q&A with Aaron, again
5a.7 Q&A with Jung Ho
5a.8 Roll Theorem
5b.1 Summary and Implications
5b.2 History and Representation
5b.3 Fishing
5b.4 Mimicking Portfolio Theorem & Fishing
5c.1 Conditioning Down
5c.2 Instruments & Managed Portfolios
5c.3 Q&A with Jung Ho
5c.4 Conditional & Unconditional Models
5c.5 Q&A with Ben
6.1 Introduction _ Overview
6.10 Intertemporal Example
6.11 Q&A with Aaron
6.12 Multifactor Models – U’ Intuition, Macro, Mimicking Portfolios
6.13 Comments
6.14 APT (Arbitrage Pricing Theory)
6.15 APT vs Equilibrium Models (CAPM)
6.2 CAPM _ Simple 2-Period Quadratic
6.3 Q&A with Aaron
6.4 CAPM_ Derivation with Log Utility or IID Consumption Growth
6.5 Q&A with Alex
6.6 ICAPM _ State Variables
6.7 Q&A with Alex
6.8 Multifactor Models - Outside Income
6.9 Multifactor Models - Portfolio Intuition
7.1 Standard Error of the Mean
7.2 GMM Estimation
7.3 GMM Distribution
7.4 Efficient GMM
7.5 GMM Does OLS
7.6 Choosing a W Matrix
7.7 S Matrix Dangers
7.8 S Matrix Dangers, Part 2
8.1 The Fama_French 3-Factor Model
8.2 The Fama_French Model
8.3 Using the 3-Factor Model
8.4 Momentum & Reversal
8.5 What is the Fama_French 3-Factor Model
8.6 Carhart 1
8.7 Carhart 2
8.8 Fama and French
8.9 Berk and Green
9.1 Motivation & Outline
9.2 Time-Series and GRS
9.3 Cross-Sectional Regressions
9.4 Comments
9.5 Fama-MacBeth Regressions
9.6 GMM SDF Tests
9.7 Comments 2
9.8 Testing One Model vs Another
10.1 Introduction_ Three facts
10.10 Pervasive Predictability - Preview
10.2 One-Period Identities
10.3 Campbell-Shiller Present Value Formula
10.4 Volatility
10.5 Vector Autoregression
10.6 Volatility and the VAR
10.7 Impulse-Response Function
10.8 Univariate vs Multivariate Responses
10.9 More Variables
11.1 Equity Premium Puzzles
11.2 Equity Premium Puzzles_ Comments
11.3 Habits
11.4 Habits Discussion
11.5 Recursive Utility
11.6 Idiosyncratic Risk
11.7 Heterogeneous Risk Aversion
11.8 Production
11.9 Alternative approaches_ An overview
12.1 Intro and Payoffs
12.2 Arbitrage Bounds
12.3 Black-Scholes
12.4 Other Methods
12.5 Spanning, State Prices, and Current Models
12.6 Date, Smile, Models
13.1 Introduction
13.10 Comments on Single-Factor Vasicek
13.11 Continuous-Time Term Structure
13.12 Continuous-Time Discussion
13.2 Definitions
13.3 Expectation Hypothesis
13.4 Risk Premium Introduction
13.5 Facts - Fama_Bliss
13.6a Statistical Factor Models
13.6b Statistical Factor Models in the Data
13.7 Term Structure Model w_ Expectations Hypothesis
13.8 Discrete-Time Vasicek
13.9 Other Approaches
14.1 Classic Approach
14.2 Mean-Variance
14.3 Merton
14.4 Merton Examples
14.5 Summary