Real time decision support system for portfolio management

We describe our real time decision support system; a system that supports information gathering and managing of an investment portfolio. Our system uses the Object Oriented Bayesian Knowledge Base (OOBKB) design to create a decision model at the most suitable level of detail to guide the information gathering activities, and to produce investment recommendation within a reasonable time. To determine the suitable level of detail we define and use the notion of urgency, or the value of time. Using it, our system can trade off the quality of support the model provides versus the cost of using the model at a particular level of detail. The decision models our system uses are implemented as influence diagrams. Using a suitable influence diagram, our system computes the value of consulting the various information sources available oh the web, uses web agents to fetch the most valuable information, and evaluates the influence diagram producing the buy, sell and hold recommendations.

[1]  Finn Verner Jensen,et al.  Myopic Value of Information in Influence Diagrams , 1997, UAI.

[2]  Erik Ordentlich,et al.  Universal portfolios with side information , 1996, IEEE Trans. Inf. Theory.

[3]  Nils J. Nilsson,et al.  Artificial Intelligence , 1974, IFIP Congress.

[4]  Shlomo Zilberstein.  Intelligent Information Gathering Using Decision Models , 1996 .

[5]  Eric Horvitz,et al.  Display of Information for Time-Critical Decision Making , 1995, UAI.

[6]  R. M. Oliver,et al.  Influence diagrams, belief nets and decision analysis , 1992 .

[7]  Piotr J. Gmytrasiewicz,et al.  Time sensitive sequential myopic information gathering , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[8]  Edmund H. Durfee,et al.  Elements of a Utilitarian Theory of Knowledge and Action , 1993, IJCAI.

[9]  P. Samuelson.  LIFETIME PORTFOLIO SELECTION BY DYNAMIC STOCHASTIC PROGRAMMING , 1969 .

[10]  Finn Verner Jensen,et al.  DrHugin A system for value of information in Bayesian networks , 1994 .

[11]  T. Andersen.  THE ECONOMETRICS OF FINANCIAL MARKETS , 1998, Econometric Theory.

[12]  大西 仁,et al.  Pearl, J. (1988, second printing 1991). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann. , 1994 .

[13]  Avi Pfeffer,et al.  Object-Oriented Bayesian Networks , 1997, UAI.

[14]  A. Hasman,et al.  Probabilistic reasoning in intelligent systems: Networks of plausible inference , 1991 .

[15]  M. Lynn.  Hawaii International Conference on System Sciences , 1996 .

[16]  Katia Sycara,et al.  Intelligent agents in portfolio management , 1998 .

[17]  Ronald A. Howard,et al.  Information Value Theory , 1966, IEEE Trans. Syst. Sci. Cybern..

[18]  Ronald A. Howard,et al.  Readings on the Principles and Applications of Decision Analysis , 1989 .

[19]  Henk Sol,et al.  Proceedings of the 54th Hawaii International Conference on System Sciences , 1997, HICSS 2015.

[20]  Jayant Kalagnanam,et al.  A comparison of decision alaysis and expert rules for sequential diagnosis , 2013, UAI.

[21]  T. Cover.  Universal Portfolios , 1996 .

[22]  T. Cover,et al.  Asymptotic optimality and asymptotic equipartition properties of log-optimum investment , 1988 .

[23]  Piotr J. Gmytrasiewicz,et al.  Learning models of other agents using influence diagrams , 1999 .

[24]  Thomas D. Berry,et al.  Public Information Arrival , 1994 .

[25]  Thomas M. Cover,et al.  Empirical Bayes stock market portfolios , 1986 .

[26]  G. Gorry,et al.  Experience with a model of sequential diagnosis. , 2011, Computers and biomedical research, an international journal.

[27]  L. Ederington,et al.  How Markets Process Information: News Releases and Volatility , 1993 .

[28]  Eric Horvitz,et al.  An Approximate Nonmyopic Computation for Value of Information , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[30]  Ross D. Shachter.  Evaluating Influence Diagrams , 1986, Oper. Res..