These components encapsulate financial and accounting business knowledge ready to integrate into your applications. They cover specialized financial calculation engines for derivatives, insurance and loans as well as accountancy and tax.

ASP.Net Financial Components by SpreadsheetGear LLC

SpreadsheetGear for .NET 2007 V3.1

SpreadsheetGear for .NET 2007 is a royalty free Microsoft Excel compatible spreadsheet component built by industry veterans for ASP.NET and Microsoft .NET Windows Forms applications, featuring the fastest and most complete Excel compatible calculation engine, easy to use ASP.NET Excel Report generation and rich Windows Forms controls. Create, read, modify, view, edit, format, calculate, print and write Excel workbooks without Excel - Download the free SpreadsheetGear for .NET Evaluation Now.

ASP.Net Financial Components by Pagos, Inc.

Pagos Spreadsheet Component (PSC) for .NET V4.5

Convert your spreadsheet applications into enterprise solutions. Using Pagos Spreadsheet Component you can connect existing Excel spreadsheets into your Web-based application. Pagos Spreadsheet Component interprets the formulas and data in Excel by turning them into high performance calculations engines. As a result you don’t have to understand and rewrite complex calculations or business logic already built into your Excel files.

ASP.Net Financial Components by WebCab Components

WebCab Bonds .NET V2.0

Model the pricing and risk analytics of interest rate cash and derivative products. We cover the fundamental theory of bonds including: Treasury bonds, Yield/Pricing, Zero Curve, Forward rates/FRAs, Duration and Convexity. We also cover the topics of Fixed-Interest bonds and interest based calculations.

WebCab Bonds for Delphi V2.0

General Interest derivatives pricing framework: set contract and vol/price/interest models and run MC. Allows the pricing and risk analytics of interest rate cash and derivative products. We also cover the fundamental theory of bonds including: Treasury bonds, Yield/Pricing, Zero Curve, Forward rates/FRAs, Duration and Convexity. We also cover the topics of Fixed-Interest bonds.

WebCab Options and Futures for .NET V3.1

Offers quantitative and risk management techniques for a wide range of option and futures contracts. We apply the Black-Scholes-Merton Options pricing model to European, Asian, American, Lookback, Bermuda and Binary Options using Analytic, Monte Carlo and Finite Difference techniques. Models of implied and historical volatility along with futures account management and market risk monitoring are also included.

WebCab Options and Futures for Delphi V3.1

Price 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.

WebCab Portfolio for .NET V5.0

Apply the Markowitz and Capital Asset Pricing Model (CAPM) to analyze the construct the optimal portfolio with/without asset weight constraints w.r.t. the Markowitz Theory by giving the risk, return or investors utility function; or with respect to CAPM by given the risk, return or Market Portfolio weighting. Also includes Performance Evaluation, extensive auxiliary classes/methods including equation solve and interpolation procedures, analysis of Efficient Frontier, Market Portfolio and CML.

WebCab Portfolio for Delphi V5.0

Delphi add-in Component and XML Web service implementation offering the application of the Markowitz Theory and Capital Asset Pricing Model (CAPM) to analyze and construct the optimal portfolio with/without asset weight constraints. Also includes Performance Evaluation, interpolation procedures, analysis of Efficient Frontier, Market Portfolio and CML.

WebCab Technical Analysis for .NET (Community Edit

This .NET Component provides a collection of technical indicators which can be used in the construction of technical trading systems. Moreover, by using these methods with our JDBC mediator you will be able to iteratively apply these indicators to historical data stored within a DBMS.