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Equity Modules

 

The equities section of the Virtual Classroom page covers both modern portfolio theory, and intrinsic value analysis for working with equity markets. 

The equity modules are designed to work with Excel as the data source using available data bases or the web as a source of historical price or return data.  

 

Portfolio Theory (Markowitz, CAPM and Factor Models)
The set of modules provided here start with an analysis of portfolio statistics (returns and volatility).  The Portfolio Returns and Efficient Portfolios takes users from portfolio statistics to Markowitz diversification, the Capital Asset Pricing Problem as well as the Single Index Model for building mean-variance efficient portfolios.  A powerful additional feature is that the module permits both the dynamic behavior of risk and return to be analyzed visually and extensive back testing analysis can be performed.  Students can either download their own historical price data directly from the web or the instructor can provide a specific data set in the form of an Excel spreadsheet.

To see online lessons using this module click on Efficient Portfolios.

A second module, the Factor Module, takes the user beyond Marokowitz/option modules to a multi-factor approach to forming a portfolio.  You can design and test your own factors or automatically download factor data.  For example, this module lets users explore questions such as whether the Fama and French factor data can improve either risk and or return behavior (as examined from backtesting experiments).   An online lesson takes the user step by step through this type of exercise using the Factor Module.

To see a comprehensive lesson built around this module click on Factor.

 

Intrinsic Value/ Expected Return Module
The Free Cash Flow and Valuation module lets users apply either a constant or a two stage abnormal growth model to assess the intrinsic value of a stock from the projected free cash flow.  In addition, given the spot price of the stock the calculator can compute expected return from a stock using fundamentals as opposed to past return data. 

To see some lessons on this module click on Intrinsic Value.

 

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