What is Emperos?
Emperos is a lightning-fast, revolutionary analytical platform that enables users to filter securities based on a wide range of criteria, perform complex statistical analysis, conduct detailed and meaningful peer comparisons, and identify manipulative accounting practices. By providing a collection of widely-used mathematical and computational algorithms optimized for large data sets as well as providing exceptional extensibility support, Emperos has raised the bar on our research capability to unprecedented new levels of performance and flexibility. What Emperos Does
- Imports data from Thomson Reuters, Bloomberg, and other specialist data providers.
- Allows users to filter data based on a sizeable set of criteria and interactively explore results in real time.
- Analyzes income statements, balance sheets, cash flow statements, and stock quotes to determine the following ratios:
- Return and profitability.
- Dividend and market value.
- Asset management.
- Turnover, solvency, and liquidity.
- Provides support for deep and extensive sequencing of large data sets for comparable company analysis.
- Determines the financial strength, bankruptcy probability, and earnings manipulation of companies by calculating the following scores:
- Altman Z
- Beneish M
- Runs sophisticated What-Ifs and comprehensive multi-scenario analysis.
What Emperos Doesn’t Do
Emperos is limited to analyzing tangible data, whereas intangibles such as management efficiency, intellectual capital, brand equity, R&D efforts, etc also affect shareholder value to a substantial degree.
Why is Emperos Needed?
In the demanding knowledge environment of today, wealth management firms must be able to quickly capitalize on the massive amounts of internal and external streaming data in real time to ensure maximum return with minimized risk. Furthermore, increasingly complex valuation methodologies necessitate the consideration of multiple perspectives in analyzing a company. These factors demand tools that continuously evaluate and track movement of all market variables for each security; and run queries against both real-time market data and large historical data repositories.