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Business Spreadsheets
The Portfolio Optimization model calculates the optimal capital weightings for a basket of financial investments that gives the highest return for the least risk. The unique design of the model enables it to be applied to either financial instrument or business portfolios. The ability to apply optimization analysis to a portfolio of businesses represents an excellent framework for driving capital allocation, investment, and divestment decisions. The key features of the Portfolio Optimization model include: Ease and flexibility of input, with embedded help prompts; Ability to specify the number of units held in each product or business; Specify minimum and maximum constraints for the optimised portfolio; Unique `Maintain Current Return Level` option to ensure that return is not deteriorated at the expense of risk; and Intuitive graphical result display with Monte Carlo simulation, including probability analysis on specified `Target` return level.
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WebCab Components
Apply the Markowitz Theory and Capital Asset Pricing Model (CAPM) to analyze and construct the optimal portfolio with/without asset weight constraints with respect to 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.
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WebCab Components
Apply the Markowitz Theory and Capital Asset Pricing Model (CAPM) to analyze and construct the optimal portfolio with/without asset weight constraints with respect to 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.
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WebCab Components
.NET, COM and XML Web service implementation of Markowitz Theory and Capital Asset Pricing Model (CAPM) to analyze and construct the optimal portfolio with/without asset weight constraints with respect to 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.
Utility Functionality included:
Interpolation - Cubic spline and general polynomial interpolation procedures to assist in the study of the Efficient Frontier
SolveFrontier - Solve the Efficient Frontier with respect to the risk, return, or the investors utility function.
MaxRange - Maximum range of the constrained Efficient Frontier
AssetParameters - Evaluation of the covariance matrix, expected return, volatility, portfolio risk/variance.
Performance Evaluation - Offers a number of procedures for accessing the return and risk adjusted return (Treynors Measure, Sharpes Ratio).
This product also has the following technology aspects:
3-in-1: .NET, COM, and XML Web services - Three DLLs, Three API Docs, Three Sets of Client Example all in 1 product. Offering a 1st class .NET, COM, and XML Web service product implementation.
Extensive Client Examples - Multiple client examples including .NET (C#, VB.NET, C++.NET), COM and XML Web services (C#, VB.NET)
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.
Compatible Containers - Visual Studio 6, Visual Studio .NET, Borland`s C++ Builder, Borland Delphi 3 - 2005, Office 97/2000/XP/2003
ASP.NET Web Application Examples
ASP.NET Examples with Synthetic ADO.NET
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AdvMathAppl
Smart Investor`s Calculator (SIC) allows users to find optimal investment portfolios through solving allocation problems with the selected criterion and restrictions on shares of investment in each instrument\group. In other words, SIC helps investors to find investment portfolios that, maximize returns and limit risks.
A user may choose to maximize a pre-tax or post-tax rate of return on a portfolio, subject to restrictions, which reduce the risks. The user may edit, add and navigate the investment data.
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