PSS Portfolio Selection Systems Presents |
![]() Risk S&P 500 |
PSS |
|
ONLINE
|
Web Site! |
PSS publishes a state of the art portfolio selection software
package PSS
Release 2.0: Digital Portfolio Theory. PSS gives the
investor the ability to efficiently achieve market timing and optimal
diversification by applying digital signal processing to the classical
Modern Portfolio Theory portfolio selection problem. The application of
the mathematics of digital signal processing to financial network theory
has resulted in a revolutionary new approach to risk management and portfolio
selection. The addition of a time dimension to risk, allows memory to
be included in the investment model. The PSS software package enables
the user to find optimal diversified portfolios of investments based on
systematic, unsystematic, calendar and non-calendar risk. Not only is
PSS the most sophisticated large scale portfolio optimization software
but it also performs fundamental analysis as well. The software does not
do any form of technical analysis or forecasting. The software package
utilizes digital signal processing technology to measure the risk of calendar
and long memory effects. Calendar and non-calendar risk are used to solve
the Digital Portfolio Theory model. The Digital Portfolio Theory
model is presented in the PSS
User's Guide. The PSS
Release 2.0 software package makes the benefit of this new
theory available to the average investor.
Also available from PSS is the textbook, Portfolio Management, by the same author as the software package. The book gives an in depth treatment of the theoretical model used in the software package. It presents the theoretical transformation of financial theory using signal processing to describe risk. The stochastic generalized portfolio network model derived in the book creates a unified field of financial risk management and portfolio optimization. A complete derivation of Digital Portfolio Theory is available in the book Portfolio Management published by McGraw-Hill in 1992. |
Now
Available!
|
|