DocumentCode :
574892
Title :
ACC 2012 tutorial session: An introduction to hedged-like stock trading from a control theoretic point of view
Author :
Primbs, James A. ; Barmish, B. Ross
Author_Institution :
Dept. of Manage. Sci. & Eng., Stanford Univ., Stanford, CA, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
4496
Lastpage :
4497
Abstract :
The topics in this tutorial relate to a new line of research involving the use of control-theoretic tools in stock trading. No significant knowledge of stock trading will be assumed. Our goal is to demonstrate how feedback-based methods can be used to protect an individual stock or portfolio using trading algorithms and diversification concepts. A major theme of the session will be to contrast the predictive models and associated methods of classical finance with new reactive approaches that emphasize the attractive properties of feedback control. In this vein, classical predictive theory including Markowitz portfolio optimization, Merton´s model and pairs trading will be presented alongside the newer feedback-centered paradigm that utilizes concepts such as idealized market models, Simultaneous Long-Short (SLS) strategies and market neutralization.
Keywords :
control theory; differential equations; feedback; optimisation; stochastic processes; stock markets; Markowitz portfolio optimization; Merton model; classical finance; classical predictive theory; control theory; diversification concept; feedback control; feedback-based method; feedback-centered paradigm; hedged-like stock trading; idealized market model; individual stock protection; market neutralization; pairs trading; portfolio protection; predictive model; reactive approach; simultaneous long-short strategy; stochastic differential equation; stock trading knowledge; trading algorithm; Data models; Feedback control; Investments; Optimization; Portfolios; Predictive models; Tutorials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315701
Filename :
6315701
Link To Document :
بازگشت