> > Portfolio v4.2 J2SE Edition

> > Apply 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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> > Equities, Interest and Real Estate v2.6 J2SE Edition

> > Non-stochastic methods are used to evaluate and analyze investments of equity, interest and real estate type. In particular, methods are developed for calculating the accumulated value, present value and yield of an interest bearing investment. For equity and real estate investments we cover models of discounted future cash flows and investment ratio comparison methods including the topics of dividends (real and prospective), yield gap, PE ratio, stock splits, rental yield and rental growth.

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> > Options and Futures v2.5 J2SE Edition

> > 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.

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> > Bonds J2SE Edition
> > | 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.
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> > Technical Analysis J2SE Edition
> > | Provides a collection of technical indicators which can be used in the construction of technical trading systems. Moreover, by using these methods with our DataBase mediator technology you will be able to iteratively apply these indicators to historical data stored within a DBMS.
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