• OpVision is an advanced multi-platform tool that can be used by financial institutions, utility companies and other large and medium-sized firms for the analysis and quantification of operational risk.
• By implementing an advanced approach that is fully compliant with Basel II, OpVision promotes the intelligent extraction, integration and exploitation of information on operational losses from different sources, including internal and external loss data, scenarios and risk control factors.
• Java Swing (JFC) application client for optimal user interaction, developed entirely in Java using a client-server 3-tier architecture, consistent with the J2EE (Java Enterprise Edition) standard.
• For more information visit the official OpVision website www.opvision.es.

• Providing different alternatives for a client investment portfolio is a complex matter that a manager has to face daily. Doing it right in an ever more competitive environment is a must.
• e-Portfolio is designed to help in this task by:
  
  • Suggesting optimal portfolios according to the client's profile.
  • Flexibly incorporating restrictions on the component assets of the portfolio to account for the required diversification.
  • Incorporating manager's views.
  • Performing analysis of portfolios.
  • Generating reports on those portfolios.
• Web application developed in Java using a client-server 3-tier architecture, consistent with the J2EE (Java Enterprise Edition) standard.

• e-Portfolio Analysis is a complementary product to the e-Portfolio optimization tool. Allowing the user a more detailed analysis of an investment portfolio by storing all the historical compositions and operations of the portfolio.
• A detailed analysis of a portfolio is a must for a portfolio manager. e-Portfolio Analysis also allows the user to comply with regulatory risk control measures and procedures.
• e-Portfolio Analysis is designed to help in this task by providing:
  
  • Analysis of a portfolios
  • Market risk measures (VaR)
  • Performance attribution of an investment portfolio
  • Value at Risk back testing
  • Stress testing
  • Generating reports of all types of analysis.
• Web application developed in Java using a client-server 3-tier architecture, consistent with the J2EE (Java Enterprise Edition) standard.

• Perfroms the calculation, at different leves of aggregation, of the portfolio risk measures (economic capital, expected loss, ...).
• Allows the optimization of the portfolio using the maximization of economic profit subjet to given restrictions.
• e-Portfolio Analysis is designed to help in this task by providing:
  
  • Analysis of a portfolios
  • Market risk measures (VaR)
  • Performance attribution of an investment portfolio
  • Value at Risk back testing
  • Stress testing
  • Generating reports of all types of analysis.
• Web application developed in Java using a client-server 3-tier architecture, consistent with the J2EE (Java Enterprise Edition) standard.

• QRR-Rating is a rating tool based on the estimation of the probability of default of a given counterparty, with a methodological framework based on models both recognized and widely used in the industry.
• It allows the creation and management of rating models, spanning different methodologies for the different risk segments and the availability of historical data of default:
  
  • SMEs (Small and Medium Enterprises): Use of statistical models for the rating of small and medium enterprises, with a statistically significant probability of default and for which ample historical default information exists.
  • Corporations & Financial Institutions: Use of Merton structural model combined with credit derivatives (CDSs) information for the rating of Large Corporations and Financial Institutions, where the information on historical defaults is relatively scarce.
  • Sovereigns: Use of CDS information for the rating of Sovereign Countries, where the probability of default is also very low.
• QRR-Rating is a web application developed entirely in Java using a client-server 3-tier architecture, consistent with the J2EE (Java Enterprise Edition) standard.

Matrisk

• Matrisk is a simple market risk tool which computes several risk measures:
  
  • Normal VaR and Conditional VaR.
  • VaR through mixtures of normals.
  • VaR using Extreme Value Theory.
  • Regret values for all VaR methodologies
• Risk measures are calculated with different time horizons (1, 5 and 10 days).
• It has an Excel interface with a computational engine written in Java.