WWWTactical Global Asset Allocation: Campbell R. Harvey

Tactical Global Asset Allocation

Campbell R. Harvey, 
Fuqua School of Business, Duke University, Durham, NC
National Bureau of Economic Research, Cambridge, MA

Fall 2, 1995

Course Description

To deliver the theory and the quantitative tools that are necessary for global asset management. The focus of the course is on tactical rather than passive asset management. To this end, we develop the fundamental concepts of asset valuation in a world with time-varying risk and risk premiums. We also focus on the most recent advances quantitative forecasting methods.

A unique feature of this course is that students build their own asset management software. In addition, using some of the techniques in the course, they perform an out-of-sample asset allocation. The most recent data (from DATASTREAM) is used in this real time allocation.

Prerequisites

Prerequisites are Business 350 and at least one course in statistical analysis. A facility with matrix algebra, probability theory and statistics through linear regression is essential. Some differential calculus will be used. Students are not expected to be familiar with some of the advanced econometric techniques introduced in the course such as: generalized method of moments (GMM), generalized autoregressive conditional heteroskedasticity (GARCH), nonparametric density estimation, and entropy-based forecasting.

Problem Sets

The course material will be presented in lectures and problem sets. Five problem sets will are assigned during the semester. Groups of 5 people (or 4 if necessary) must be formed for the first four assignments. The fifth assignment must be completed individually. You must also turn in a sealed envelope with proportional contributions of the other group members (summing to 100%) for each of the assignments one through four - at the end of the semester. All problem sets will be graded. Problem sets should be sent to charvey@mail.duke.edu.

The first assignment is required for all groups. Each group will choose a lecture at the beginning of the term which they will become experts on. The group will prepare a WWW presentation of the main points of the lecture/discussion. I will have each of the lectures videotaped to provide reference material for the group. However, the group needs to prepare a presentation which is focussed on the potential impact of the lecture material on the practice of asset management. I have provided some basic material on HTML (language of the internet). It is probably best to prepare your work in word and use a Word2html converter. I also recommend the use of HotDog (do a WWW search) and download this WebEditing tool. Graphics need to be converted into GIF files. Every student in the course should have some knowledge of Web editing.

The goal of the Web exercise is to provide a resource which you, as students and graduates of my course, can use for a long time. Lecture notes have a tendancy to get out of date quickly. The BA453 homepage will be updated every time the course is taught. It is public domain so you can easily check in the future any new features in the course.

In the second assignment, you will design your own quadratic optimization package using SOLVER in EXCEL. I assume that you have done a similar exercise in your statistics course. So this is very simple exercise. This program will take as inputs the expected returns, standard deviations and correlations for five or six global equity markets. These markets can be countries (say, U.S., Japan, U.K., Germany, France, Mexico) or regions (say, U.S., Japan, Europe, other EAFE - Europe and Far East, Emerging Latin America, Emerging Asia , note the U.S. and Japan count as countries and regions!). You can use equities or bonds. The variance of the portfolio will be minimized for a target level of expected return. The program should also contain short-sale constraints and caps on the size of long positions. [This program must be clean enough that you would not be embarrassed to run it in front of a prospective employer.]

The third assignment involves forecasting monthly stock returns and foreign currency returns. Each student is in charge of a country. Data will be drawn down from on-line DATASTREAM. Each student should be familiar with using DATASTREAM. The DATASTREAM data for country returns will be supplemented by some Morgan Stanley Capital International (MSCI), International Finance Corporation (IFC) and J.P. Morgan data that I will provide. Part of the task will be to design a set of information variables that can be used to forecast the stock returns and currency returns.

The fourth assignment uses the data of the third assignment. The equity and currency models developed in assignment three are run out of sample on the last day of the month to get an out of sample forecast. For a given level of risk aversion (some tolerance for variance), students are asked to calculate the 'optimal' conditional portfolio weights for their international equity portfolio. This is tactical global asset allocation. In the second part of the assignment, currency portfolios are added to the allocation problem.

The fifith assignment (which is completed individually) draws together all of the main concepts covered in the course.

Outside Class Contact

The first line of contact is the bulletin board. Use the board! I monitor the board every day. In some circumstances, you may want to e-mail me at charvey@mail.duke.edu. If it is a class question, I reserve the right to post your e-mail and my response to the bulletin board.. If needed, call my secretary, Carol Bass 660-7775, to set up an office visit.

Grading

The grading approach in the course will be based on performance on the assignments. Each assignment performance will be judged acceptable or not acceptable. There is no midterm or final exam. All students must turn in assignment 5. If you just turn in assignments 1, 2 and 5 (with acceptables), you will score ``P". If you turn in assignments 1, 2, 3 and 5 (with acceptables), you will get ``HP." If you turn in all five assignments (with acceptables), you will get ``SP". This grading system basically allows you to select your grade in advance.

Hypertexts

Harvey, Campbell R. 1995, Tactical Global Asset Allocation [Some available in packet and some on INTERNET. Goal is to have everything on internet by 1996.]

Outline and Reading Assignments

Most of the required reading for Business 453 will come from journal articles and working papers which are found in the packet. The codes denote common links to my homepage biography which contains abstracts of the articles.

0. Pre-October 26
Overview.
Historical Returns. Visit Web Site.

1. October 26
Course introduction.
DATASTREAM/IBBOTSON/MSCI/IFC briefing.
Research Protocol for Asset Allocation.
The econometric tools of finance.
Readings:
I. Review of Statistics.
II. Review of Linear Regression.
Research Protocol from Web site.

2. October 30
Forecasting international asset returns.
Local versus global information.
Interpreting predictability.
Readings:
Harvey (P10), (P6),(P32)
Ferson and Harvey (P20)
Bekaert and Harvey (P33), (W14)
Harvey, Solnik and Zhou(W8)
Harvey(PM5)

3. November 2
Forecasting comovement and volatility.
GARCH models.
International volatility prediction.
Forecasting correlation.
Readings:
Erb, Harvey and Viskanta (P27), (P28)
Bekaert and Harvey (W14)
Harvey (P32)

4. November 6
Top-down asset management.
Mean-variance portfolio control.
Pitfalls and practice.
Readings:
Harvey (PM5)

5. November 9
International risk management.
Unconditional exposure.
Conditional exposure.
Readings:
III. Unconditional Factor Models.
IV. Conditional Factor Models.
Harvey (P32), (P33)
Ferson and Harvey (P24)
Ferson and Harvey (W14)
Erb, Harvey and Viskanta (W20)

6. November 13
Explaining average returns with risk.
Unconditional asset pricing theory.
Empirical tests.
Readings:
V. The Unconditional Capital Asset Pricing Model.
VI. The Capital Asset Pricing Model and Extensions.&
VII. Multifactor Pricing Theory.
Fama (1991).
Ferson and Harvey (P24)
Harvey and Zhou (P20)

7. November 16
Explaining predictability in returns with risk.
Conditional conditional asset pricing theory.
Empirical tests
Readings:
VIII. Conditional Asset Pricing.
Harvey (P10), (P32)
Ferson and Harvey (P21)
Bekaert and Harvey (P33)

8. November 20
Alternative views of asset pricing.
Fama and French (1992) controversy.
Readings:
Fama and French (1992,1993).
Ferson and Harvey (C1), (W7).

9. November 27
Bottom-up asset managmement.
BARRA and Quantec-like selection.
Readings:
Ferson and Harvey (C1), (W7).
Erb, Harvey and Viskanta (W20)

10. November 30
Performance evaluation.
Unconditional measures.
Performance metrics which incorporate trading strategies.
Readings:
Ferson and Schadt (1994).
Graham and Harvey (W11)
Bansal and Harvey (W19)

11. December 4
Dynamic hedging.
Dynamic hedge ratios.
Nonparametric analysis
Readings:
Harvey (W13)

12. December 8
AI forecasting.
Neural nets, genetic algorithms, and entropy-based forecasting.
Readings:
Glodjo and Harvey (1994).

Articles and Books

Bansal, Ravi and Campbell R. Harvey, 1994, "Performance Evaluation in the Presense of Trading Strategies," Working paper, Fuqua School of Business [to be distributed in class]. (W19)

Bekaert, Geert and Campbell R. Harvey, 1995a, "Time-Varying Conditional World Market Integration," Journal of Finance 1995, 403-444. (P33)

Bekaert, Geert and Campbell R. Harvey, 1995b, "Emerging Equity Market Volatility," Working paper, Fuqua School of Business. (W14)

Erb, Claude, Campbell R. Harvey and Tadas Viskanta, 1994a, "Forecasting International Equity Correlations," Financial Analysts Journal November/December 32-45. (P27)

Erb, Claude, Campbell R. Harvey and Tadas Viskanta, 1994b, "National Risk and Global Fixed Income Allocation," Journal of Fixed Income September, 17-26. (P23)

Erb, Claude, Campbell R. Harvey and Tadas Viskanta, 1995a, "Country Credit Risk and Global Portfolio Selection," Journal of Portfolio Management Winter 74-83. (P26)

Erb, Claude, Campbell R. Harvey and Tadas Viskanta, 1995b, "Do World Markets Still Serve as a Hedge?" Journal of Investing (forthcoming). (P28)

Erb, Claude, Campbell R. Harvey and Tadas Viskanta, 1995c, "Expected Returns and Volatility in 135 Countries," Working paper, Fuqua School of Business. (W20)

Fama, Eugene F., 1991, "Efficient Capital Markets: II," Journal of Finance 46: 1575-1617.

Fama, Eugene F. and Kenneth R. French, 1992, "The Cross-Section of Expected Stock Returns" Journal of Finance 47, 427-465.

Fama, Eugene F. and Kenneth R. French, 1993, "Common Risk Factors in the Returns on Stocks and Bonds," Journal of Financial Economics 33, 3-56.

Ferson, Wayne E. and Campbell R. Harvey, 1993, "The Risk and Predictability of International Equity Returns," Review of Financial Studies 6: 527-566. (P21)

Ferson, Wayne E. and Campbell R. Harvey, 1994a, "Sources of Risk and Expected Returns in Global Equity Returns," Journal of Banking and Finance 775-803. (P24)

Ferson, Wayne E. and Campbell R. Harvey, 1994b, An Exploratory Investigation of the Fundamental Determinants of National Equity Market Returns, with Wayne Ferson, in Jeffrey Frankel, Editor, The Internationalization of Equity Markets, (Chicago: University of Chicago Press) 59-138. (C1)

Ferson, Wayne E. and Campbell R. Harvey, 1995, `Country Risk in Asset Pricing Tests," Working paper, Fuqua School of Business. (W7)

Ferson, Wayne E. and Rudi Schadt, 1994, "Measuring Fund Strategy and Performance in Changing Economic Conditions," Working paper, University of Washington, Seattle.

Glodjo, Arman and Campbell R. Harvey, 1994, "Forecasting Foreign Exchange Market Returns via Entropy Based Coding: The Framework," Working paper, Fuqua School of Business. (W13)

Graham, John and Campbell R. Harvey, 1995, "Market Timing Ability and Volatility Implied in Investment Newsletters' Asset Allocation Recommendations," Working paper, Fuqua School of Business. (W11)

Harvey, Campbell R., 1991a, "The Term Structure and World Economic Growth," Journal of Fixed Income, 4-17. (P6)

Harvey, Campbell R., 1991b, "The World Price of Covariance Risk," Journal of Finance 46, 111-157. (W10)

Harvey, Campbell R., 1991c, "The Specification of Conditional Expectations," Working paper, Fuqua School of Business. (W6)

Harvey, Campbell R., 1995a, "Predictable Risk and Returns in Emerging Markets," Review of Financial Studies 773-816. (P32)

Harvey, Campbell R., 1995b, "The Cross-Section of Volatility and Autocorrelation in Emerging Markets" Finanzmarkt und Portfolio Management 12-34. (P29)

Harvey, Campbell R., 1995c, "The Risk Exposure of Emerging Equity Markets," World Bank Economic Review19-50. (P30)

Harvey, Campbell R. and Akhtar Siddique, 1995, "Conditional Skewness in Asset Pricing Tests," Working paper, Duke University.

Harvey, Campbell R., Bruno Solnik and Guofu Zhou, 1994, "What Determines Expected International Asset Returns," Working paper, Fuqua School of Business. (W8)

Harvey, Campbell R., and Guofu Zhou, 1993, "International Asset Pricing with Alternative Distributional Specifications," Journal of Empirical Finance 1: 107-131. (P20)

Professional Presentations

Harvey, Campbell R., P1995, "Active Asset Allocation in Emerging and Developed Markets." (PM5)


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