Using the C++ programming language: Using a programming language is necessary when using a spreadsheet or other high-level tool is too slow or too cumbersome. Understanding a programming language also tends to demystify other computer applications and gives us a conceptual perspective that helps us to use spreadsheets and other applications more effectively. C++ is a powerful language that is available on almost all computers, and most of the commercial programs you buy have been written in C++ or its predecessor C. Having a course using C++ is a signal to potential employers that you are a "serious player."
At the frontier: In most earlier courses, we have focused on a consistent and coherent exposition of what we do know about finance. In this class, we will be pushing at the frontier of knowledge, and sometimes we will be doing our best to deal with questions that are only partially understood and for which completely satisfactory solutions do not yet exist. Many of the interesting computational questions in practice are in this category. Given that it is uneconomic to hire a team of five PhD's for six months every time we face a new financial instrument, it is important to be able to come up with a good valuation in short amount of time, even if that valuation is not exactly the same as what a more complete analysis would suggest.
Most of the problems in the course involve valuation, since valuation problems are important to all managers and we have excellent quantitative tools for handling them. Students should leave Washington University with a command of a powerful set of tools, and the ability to apply them to practical problems.
Prerequisites Options and Futures is the only formal prerequisite. Experience in an programming language (especially C or C++) would be useful, but not necessary. General mathematical sophistication is also useful. In general, students who have not studied options and futures previously should not take the course (yet), but it may be appropriate if you have a strong background in math and computers (check with me). It is intended that the course will be challenging, but useful to students with a wide variety of backgrounds. In particular, the final project will necessarily be customized to the individual's background and interests. Students with superior preparation will be given the opportunity for superior performance in optional parts of the homework and in the final project.
Organization of the course The first part of the course will consist of lectures and homework exercises on quantitative topics in finance. The class lectures will focus more on the finance than on the programming, and the homeworks will involve modification of working programs. The second part of the course will be devoted to discussion of specialized topics (largely in response to your interests) and the development of projects.
Course Requirements Grades in the course will based mainly on the midterm examination (40%) and the final project (45%). Homework will count for the remaining 15% of the grade. Understanding of the tools and concepts from the early lectures will be measured by the midterm examination. Class participation may change a grade near a cutoff. Understandably, job search or other obligations may occasionally conflict with class. It is your responsibility to find out from your classmates what you miss when you are absent.
Course Materials As a default, you should obtain the course materials from my teaching page on the WEB: http://dybfin.wustl.edu/teaching. The materials are still under revision; be sure to use reload on your browser to get the most current version. I also invite you to visit my home page and research page: http://dybfin.wustl.edu/. If your Web access is slow or you are tired of seeing my picture, disable ``Auto Load Images'' on your Web browser.
If access to the Web is not convenient for you, it is possible to purchase the deluxe service of delivery of hard copies of course materials, as available, to your mail file. You can purchase this option in Simon 5 (downstairs from the main level, where the packets are on sale).
Transparencies The lectures will be based on transparencies that are available on the Web. The text-only versions are less attractive visually but can be loaded much more quickly over the Web than the PostScript versions. You may want to print paper copy of the transparency before each class for cross-reference during class and for taking notes on.
Homework There are weekly homeworks in the first part of the course. They involve modifying existing C++ programs and answering thought questions. You are expected to prepare your own answer sheet to hand in, including your own answers to the thought questions (each of which should be answered in no more than two sentences of ordinary length). It is fine if you want to work in groups or receive help of any sort on the programming exercises. Of course, you should make sure of your own mastery of the concepts, or else you might develop a false sense of security about the midterm.
Readings The book assigned for the course is Success with C++, by Kris Jamsa, Boyd and Fraser, ISBN 0-7895-0088-4. This is a trade book that is an excellent introduction to programming in C++. You should plan to read about a chapter a week; additionally you will use it frequently for a reference. If you already have a book on C++ that you like, that would probably do as well.
I have assigned as an optional text the little reference book Dictionary of Mathematical Terms, by Douglas Downing, Barron's, ISBN 0-8120-2641-1. I assigned this because some students in the past have asked me for a good reference on exponential function and other terms for which they can use a review.
In addition to these two books, I expect that you may want to refer to the text you used in your options and futures class. If you have a strong background in differential equations, you may also want to have a look at a more advanced book such as The Mathematics of Financial Derivatives: a Student Introduction, by Wilmott, Howison, and Dewynne, Cambridge University Press, ISBN 0-521-49789-2. This takes an alternative approach to the one in this course by starting with a continuous-time model and using numerical methods to solve the valuation PDEs.
Teaching Assistance Greg Willard will assist in offering the course. He is a doctoral student who is working in the area of asset pricing, and he has also made himself an expert on C++ and its various implementations. Greg is very friendly and is an experienced teacher, and you will discover that we are fortunate to have his assistance. His office is Simon 287, his phone number is 935-7155, and his e-mail address is firstname.lastname@example.org. (Of course, you can also direct your questions to me; I recommend e-mail at email@example.com or though my home page as an effective way of tracking me down quickly.)
About you In addition to enrolling through the proper authorities, please send me an e-mail with the following information:
About me I was previously a tenured full professor at Yale, and I came to Wash U in 1988 in the hope of building a top finance group, which we have done. More information on me is in the chatty blurb at http://dybfin.wustl.edu/misc/about.html or in my vitae at http://dybfin.wustl.edu/misc/vitae.html. All of my Web pages can be accessed through my home page.
Feedback Since this is the first offering of the course, feedback is especially important. Written feedback by e-mail is especially useful.
Integrity Students are expected to conform to the Olin School's Code of Conduct.
Summary I invite you to join me in exploring some interesting and useful tools.