Alfred West Jr. Learning Lab
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OTIS includes a set of analytic tools that students can use to evaluate their own performance and to compare it to the S&P 500 benchmark and to the performance of their fellow students. The analytic toolset includes information on alpha (daily and over time), standard deviation, variance, returns on portfolio, returns for S&P 500, and historical investment returns. This robust set of analytic tools is one of the real advantages of the application.

otis analytics page

Students can also assign equities to a sector and generate an attribution analysis — a breakdown of returns and performance from each sector. They can also profile their sector-weighting — the distribution of equities chosen in the various sectors.

The calculation of variance of alpha is one of the primary scoring systems of the exercise. The goal is to outperform the S&P 500 on a consistent basis. In order to track their performance, students use the information ratio, which measures the alpha (return) against the benchmark.

Most of these calculations are transparent to the student; processes and procedures are constantly running in the background and are displayed when students request a given analytic. Displayed in the form of graphs and sets of data, these visuals help students better comprehend their performance day-to-day. To verify the calculations made by the program, students can download the data to a spreadsheet.

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