WebCab Options for .NET

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App specs:

License

PAID

Version

WebCab Options for .NET 3.1

LatestUpdate

Last updated

OS

Windows All

Language

EN

The WebCab Options for .NET include components and XML Web service for pricing option and futures contracts using Monte Carlo and Finite Difference techniques. General MC pricing framework: wide range of contracts, price, interest and vol models. Prices European, Asian, American, Lookback, Bermuda and Binary Options using Analytic, Monte Carlo and Finite Difference inaccordance with a number of vol, price, volatility and rate models.

ADO Mediator - The ADO Mediator assists the .NET developer in writing DBMS enabled applications by transparently combining the financial and mathematical functionality of our .NET components with the ADO.NET Database Connectivity model.

ASP.NET Web Application Examples - We provide an ASP.NET Web Application example which enables you to quickly test the functionality within this .NET Service.

ASP.NET Examples with Synthetic ADO.NET - we use a ASP.NET service to perform component calculations on SQL database columns from a remote DBMS. We apply a component's function to certain rows from the database and list the output in HTML format.

This is a powerful feature since it allows you to perform calculations in a DBMS manner without having to code the C#to SQL database transaction yourself as it is all done by the ASP within the .NET Framework managed server side environment.

Price a broad range of option and futures contracts using a range of price/vol/interest rate models. Includes in addition to the general pricing framework a detailed Black-Scholes-Merton Model API (including Greeks and implied volatility) for European, Asian, American, Lookback, Bermuda and

Binary Options using Analytic, Monte Carlo and Finite Difference techniques. We also offer a flexible implementation of a binomial and trinomial trees based pricing engine for the evaluation of employee options in accordance within the Enhanced FASB 123 model and a module allowing the evaluation of the Value-at-Risk (VaR) of an investment portfolio in accordance with the Linear model.

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