Efficient Markets vs. Excess Volatility - Financial Markets
Offered By: Yale University via YouTube
Course Description
Overview
Explore key theories in finance related to stock price analysis and prediction in this lecture from Yale University's Financial Markets course. Delve into the efficient markets hypothesis, which posits that stock prices reflect all available information, and the random walk theory, which suggests that price changes stem from unanticipated new information. Examine statistical tools used to test these hypotheses and predict future stock prices. Discover how efficient markets theory is a partial truth, as beating the market is difficult but not impossible. Learn about varying degrees of market efficiency, the case of First Federal Financial, and challenges in forecasting the market. Gain insights into information access, auto-regressive models, and the complexities of financial markets in this comprehensive exploration of stock price dynamics.
Syllabus
- Chapter 1. Last Thoughts on Insurance and Catastrophe Bonds
.
- Chapter 2. Information Access and the Efficient Markets Hypothesis
.
- Chapter 3. Varying Degrees of Efficient Markets and No Dividends: The Case of First Federal Financial
.
- Chapter 4. The Random Walk Theory
.
- Chapter 5. The First Order Auto-regressive Model
.
- Chapter 6. Challenges in Forecasting the Market
.
Taught by
YaleCourses
Tags
Related Courses
Introduction to Operations ManagementWharton School of the University of Pennsylvania via Coursera Computational Molecular Evolution
Technical University of Denmark (DTU) via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
The Chinese University of Hong Kong via Coursera Fundamentals of Clinical Trials
Harvard University via edX Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax