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Description
The Large-Scale Optimizer™ is a collaborative creation by Michael Best, who is a Professor Emeritus in the Department of Combinatorics and Optimization at the University of Waterloo, and Jivendra Kale, the President of Financiometrics Inc. This remarkable quadratic optimizer is designed for the swift construction of long-only, long-short, and market-neutral portfolios that can encompass thousands of assets, allowing for effective risk management in relation to a standard or benchmark portfolio. Additionally, it serves as a tool for asset allocation that employs Markowitz mean-variance analysis principles. This version of the Large-Scale Optimizer™ is an unrestricted edition that can be acquired either as an application or as a subroutine library that can be integrated into your software. Utilizing an advanced active set method, which has been further refined through the implementation of penalty function techniques, the Large-Scale Optimizer™ achieves significant speed enhancements to ensure the attainment of a true global optimal solution for extensive, real-world portfolio optimization challenges, even when variable transaction costs are present. This unique capability makes it an essential tool for financial analysts and portfolio managers seeking to optimize their investment strategies efficiently.
Description
PSS has released an innovative software package known as PSS Release 2.0: Digital Portfolio Theory, which stands at the forefront of portfolio selection technology. This cutting-edge software empowers investors to effectively navigate market timing and achieve optimal diversification by leveraging digital signal processing techniques in conjunction with the foundational principles of Modern Portfolio Theory. By integrating the mathematics of digital signal processing within financial network theory, PSS introduces a groundbreaking methodology for managing risk and selecting portfolios. Furthermore, by incorporating a time dimension into risk assessment, the software allows for the inclusion of memory within investment models. Users of the PSS package can identify optimally diversified investment portfolios while accounting for various types of risks, including systematic, unsystematic, calendar, and non-calendar risks. Beyond being the most advanced large-scale portfolio optimization tool available, PSS also facilitates fundamental analysis, though it refrains from engaging in any form of technical analysis or forecasting. This unique combination of features positions PSS as a pivotal resource for investors seeking to enhance their portfolio strategies.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Financiometrics
Website
www.financiometrics.com
Vendor Details
Company Name
PSS
Country
United States
Website
www.portfolionetworks.com
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation