link Source: www.coursera.org
list 7 sequences
assignment Level : Introductory
label Finance
chat_bubble_outline Language : English
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Key Information

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verified_user Free certificate
timer 70 hours in total

About the content

This course is part one of a two-part introductory survey of graduate-level academic asset pricing. We will focus on building the intuition and deep understanding of how the theory works, how to use it, and how to connect it to empirical facts. This first part builds the basic theoretical and empirical tools around some classic facts. The second part delves more deeply into applications and empirical evaluation.

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Syllabus

Part 1 syllabus:
  • Week 1: Stochastic Calculus Introduction and Review. dz, dt and all that. 
  • Week 2: Introduction and Overview. Challenging Facts and Basic Consumption-Based Model. 
  • Week 3:
    • Classic issues in Finance
    • Equilibrium, Contingent Claims, Risk-Neutral Probabilities.
  • Week 4: State-Space Representation, Risk Sharing, Aggregation, Existence of a Discount Factor.
  • Week 5: Mean-Variance Frontier, Beta Representations, Conditioning Information. 
  • Week 6: Factor Pricing Models -- CAPM, ICAPM and APT. 
  • Week 7: Econometrics of Asset Pricing and GMM.  
  • Final Exam
Part 2 is a separate course, which may be taken separately from Part 1. Here is the syllabus to whet your appetite: 
  • Spring break (1 week)
  • Week 1: Factor pricing models in action
    • The Fama and French model
    • Fund and performance evaluation.
  • Week 2: Time series predictability, volatilty and bubbles.
  • Week 3: Equity premium, macroeconomics and asset pricing.
  • Week 4: Option Pricing.
  • Week 5: Term structure models and facts.
  • Week 6: Portfolio Theory.
  • Final Exam
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Instructors

  • John Cochrane - Booth School of Business
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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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