The Omniscience Model: Equation Selection
Jeffry Haber
Abstract
We are living at the intersection of massive computing power and the nearly unlimited flow of financial
information. Stock market returns are based on the change in price from one period to another. The business
plan of nearly all equity funds is based on having high conviction regarding whether holdings will go up (those
that hold long) or down (those that short). While the business plan is based on conviction, success is based on
being correct. Statistical tools and theories are available to help understand relationships, such as correlation, as
well as explain divergent behavior, such as mean reversion. Other fields such as physics and biology utilize
models that could be relevant to prediction of future events. This paper takes the formulae from the various fields
and sorts them to determine which may be useful in the prediction of stock prices versus those that are descriptive
and evaluative.
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