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耶鲁大学经济系讲座教授John Geanakoplos公开课Financial Theory

(2012-02-04 10:32:15)
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讲课人:Professor John Geanakoplos

John Geanakoplos is James Tobin Professor of Economics at Yale University. He received his Ph.D. in Economics from Harvard University in 1980. He has been Director of the Cowles Foundation for Research in Economics, co-Director of Hellenic Studies Program at Yale, chairman of the science steering committee at the Santa Fe Institute and Managing Director of Fixed Income Research at Kidder, Peabody & Co. Prizes he received include the Samuelson Prize (1999), and the Bodossaki Prize in economics (1994). He is a member of the American Academy of Arts and Sciences (since 1999) and was visiting professor at MSRI in the UC Berkeley, Churchill College, Cambridge, the University of Pennsylvania, Harvard, Stanford, and MIT. He was one of the founding partners of Ellington Capital Management, where he remains a partner. One of his current research topics is the leverage cycle

 

课程内容

 

This course attempts to explain the role and the importance of the financial system in the global economy. Rather than separating off the financial world from the rest of the economy, financial equilibrium is studied as an extension of economic equilibrium. The course also gives a picture of the kind of thinking and analysis done by hedge funds.

 

该课程分为26讲

 

1. Why Finance?
2. Utilities, Endowments, and Equilibrium
3. Computing Equilibrium
4. Efficiency, Assets, and Time
5. Present Value Prices and the Real Rate of Interest
6. Irving Fisher's Impatience Theory of Interest
7. Shakespeare's Merchant of Venice, Collateral. Present Value and the Vocabulary of Finance
8. How a Long-Lived Institution Figures an Annual Budget. Yield
9. Yield Curve Arbitrage
10. Dynamic Present Value
11. Social Security
12. Overlapping Generations Models of the Economy
13. Demography and Asset Pricing: Will the Stock Market Decline when the Baby Boomers Retire?
14. Quantifying Uncertainty and Risk
15. Uncertainty and the Rational Expectations Hypothesis, with Applications to Predicting Stock Prices...
16. Backward Induction and Optimal Stopping Times
17. Callable Bonds and the Mortgage Prepayment Option
18. Modeling Mortgage Prepayments and Valuing Mortgages
19. History of the Mortgage Market: A Personal Narrative
20. Dynamic Hedging
21. Dynamic Hedging and Average Life
22. Risk Aversion and the Capital Asset Pricing Theorem
23. The Mutual Fund Theorem and Covariance Pricing Theorems
24. Risk, Return, and Social Security
25. The Leverage Cycle and the Subprime Mortgage Crisis
26. The Leverage Cycle and Crashes

Requirements:

Math in the course
Finance is a quantitative subject that can only be understood by solving concrete problems. But it uses mostly elementary mathematics. You need to be good at arithmetic (the distributive law is the basis for double entry bookkeeping), and be able to solve two or three simultaneous linear equations (x + y =10; x – y = 4. Solve for x and y). You must also be able to differentiate three elementary functions: dxn/dx =nxn-1; d ln x/dx = 1/x; deax/dx= aeax. The functions “log” and its inverse “exponential base e” are so important to finance because of continuous compounding of interest. Though they may be the most important functions in all of mathematics, they were discovered by bankers. You will also be taught how to use Excel.

 

Course reading
The textbook readings are meant to clarify or elaborate material presented in class, or to give you an idea of alternative presentations of the same material. For example, we might discuss bonds, how they pay, and how to value them. The readings might cover the specifics of particular bond markets (local, state, different countries), how they are taxed etc. There is no official textbook. In the past I have used Corporate Finance, by former Yale professor Steve Ross and two co-authors, and two others, by Sharpe and Merton, both Nobel Prize winners in economics (for contributions to financial economics). Their books were regarded as insufficiently quantitative, but might be useful to browse in. Another very good book is by Luenberger, but it is a little too advanced for this course. I have listed a dozen or so good alternatives and supplements, to give you an idea of where you could read more if you become interested. None of these is required. You should be able to follow the course simply by attending the lectures, reading the web notes, and doing the problem sets.

Grading:

Problem sets: 20%
Midterm exam 1: 20%
Midterm exam 2: 20%
Final Exam: 40%

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