If you got Pennington to find any valuable info when you asked him to develop quantitative analogies between forest life cycles and those of corporations to find some profitable trades you could certainly do the same in finding some numerical formula that could identify trade opportunities by analyzing baseball.
Each team– a stock, the aggregate teams– the market, each player– a corporate division, each salary– an investment made in the division and the company, each relevant performance statistic– a relevant performance statistic. Identify the right decision mix that makes teams perform better over time and improve over time and analyze similarities in companies doing the same.
The greatest liability is also the greatest asset– human decision and performance permeate the game of baseball from start to finish and one could question whether it’s possible to find a truly consistent system as a result. I would argue that this complexity makes it a perfect analogy to market/company performance. It moves based on imbedded and sometimes unexplainable intellect and experience of its participants. The chaotic human decision making process is pervasive in both.