| TEAM
SYSTEMS offers a powerful
software suite designed to support quantitative equity research and
production. We call it QuantVision®. QuantVision was designed
as an "open" valuation tool set for those equity managers who prefer
to build, backtest and implement their own proprietary investment strategies.
The QuantVision 2.0 Platform
Building and testing returns-based strategies has
historically not been very easy. Until now. One might say that it
involves at least six steps, all of which fall under the QuantVision
suite of applications:
1. Data integration/customization. Your
choice of data sources is an important part of the process. Why should a
software provider make this decision for you? We believe you should have a
choice, so we provide tools that help you to build a custom database without
having to write software code. We can also package the system with
fundamental company data and historic earnings estimate data.
2. Factor definition. An investment
strategy will have its own proprietary characteristics or "factors"
that you believe may predict excess returns. These factors are often based
on complex computations that you design from scratch. It helps to have
access to a sophisticated computation "engine" that eases the
definition process, and offers a library of mathematical functions. Data
standardization, outlier handling, IF logic and data aggregation are a small
sampling of QuantVision's computational power. You may
download a list of QuantVision's math/statistical
functions in Adobe's pdf format.
3. Statistical research/analysis.
Stock factors need to be tested, tweaked, and tested some more.
Statistical testing can show the predictive power of an idea and help you to
solidify a strategy. QuantVision's statistical module will guide
you through this testing, from computing the level of correlation among your
factors to regressing your own definition of return against selected
factors. You may export results to any package.
4. Model construction. When
constructing a multi-factor valuation model, assigning levels of importance to
your selected factors is critical. You may have your own way of estimating
factor weights, or you may require a little help in forecasting them. QuantVision
was designed to facilitate custom model-building so you can rank stocks by "alphas" or composite
scores designed by you.
5. Portfolio simulations. Statistical
testing can show you the theoretical predictive power of an idea, but sometimes
an idea fails in the face of reality. Perhaps it results in unacceptable
turnover, or produces too few candidates. QuantVision's portfolio
simulator will help you "backtest" your strategies in the real world,
and show you the value added by your proprietary alphas, screens and trading
strategies (including trading commissions and market impact assumptions).
6. Production. Once you have tested a
strategy and are satisfied, you can put it into production with the same set of
tools. QuantVision's open, non-black box design combined with your
insights lets you model the world the way you see it, not the way someone else
says you should. If you control each step in the process, won't you have more
confidence in the results?
We offer a trial usage period for interested
parties. Contact us for details.
For more information, click
here to download a product training piece (20 pages) with examples and screen
shots. And, click here to download a
general introduction (8 pages) to equity modeling and backtesting.
Click here for
a list of all available TEAM
SYSTEMS documents. All documents are in 
Adobe
pdf format.
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