DocumentCode
2457086
Title
On stock market trading and portfolio optimization: A control systems perspective (T-2)
Author
Primbs, James A. ; Barmish, B. Ross ; Miller, Daniel E. ; Yamada, Yuji
Author_Institution
Stanford University, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
25
Lastpage
25
Abstract
The purpose of this one-day workshop is to explain how control theoretic tools and associated mathematical concepts can be used in stock and option trading. While introducing the requisite mathematical tools, the speakers will also provide a number of case studies to demonstrate application of various trading algorithms, portfolio balancing techniques and the use of both technical and fundamental analysis. The topic of back-testing of candidate trading strategies will also be discussed and we will describe and demonstrate various simulation codes. Finally, the workshop will include formulation of a number of new and exciting research problems for the control field. A number of trading concepts will be explained in the context of a basic feedback loop with the control corresponding to modulation of the amount invested as a function of time. A state space setting will be used and both stochastic and deterministic models will be considered. We will pose new research problems that are aimed at both certification of robust performance and portfolio optimization.
Keywords
Algorithm design and analysis; Control systems; Feedback loop; Mathematical model; Portfolios; Predictive control; Predictive models; State-space methods; Stochastic processes; Stock markets;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO, USA
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5159780
Filename
5159780
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