I have been playing a quantitative investing game (instructions here) that is actually quite interesting, teams have some time to decide their next moves. It requires all kind of knowledge such as spreadsheet -programming, residual -analysis, portfolion -management, allocation, XYZ -- variables and in the end the challenge is to develop the politics that maximize the utility in the game (and the utility functions change unexpectedly in the game) -- a real dynamic programming problem at the best. I feel it is quite fun and useful way to practice quantitative skills (besides extremely fast programming during sprints and good preparation drives analysis skills such as R and statistics/over-fitting/etc, besides a lot of fun-hectic time in a group).
Can you come up with more
"research labs"(aka games) like that perhaps more realistic with historical data?
They do not need to be like the above, they could be on a more specific segment such as speculation with inverse yield curve with historical-data-approximated values or anything like that, ideas?
I am thinking that there may be some sort of competitions in real-life on this kind of issues, are there? Experience?
I find this kind of games/challenges could be quite driving agent to teach and learn different kind of usually-low-profile quantitative issues, very well monopoly works but it is a bit too static to learn quantitative skills to analyze and synthesize information.
P.s. I am now not looking for mock
investing or financial games but games where you get a massive amount of data and you have some goal like in the example game, actually the massive amount of data is not essential -- just on some challenging quantitative issue.