- I'm not a mathematican, but an engineer. Still think there is a little flaw in the formula. Is "nAB" really the number of countries (dim(v))? If so, I might not understand the formula fully. I guess it should be the average of something.
- I've now finished the article about how to use Encog. Try it with some example data and let me know what you think about.
I wrote the article about the HSDI on the german wikipedia and drew the according map. Not sure how i get this data into the wikirating database.
As for the GPI/ISEW: there are currently only 9 countries having a ISEW rating (Austria, Chile, Germany, Italy, Netherlands, and Sweden); only (USA, Australia) two having a GPI rating - the data is available from the FOE homepage. I don't think that that is enough, but it should be considered in the future when more data is available.
I also thought on tweaking your formula a bit. According to The Wisdom of Crowds from James Surowiecki, the data from the user ratings should be more precise. So we might be able to train a neural network that optimizes the weights on the social-economic indicators, so that we get more matching results for the "SWI 2.0". We can use the Encog-Framework for doing so, but we need to bring the data in a fitting .csv-format. one column for every indicator and one column that represents the polling results.
Thanks "DORIAN ", I have no interest in changing the system to anyone, just trying to work with any comments. All this is like a hobby for me, while I work, I always record for others to follow me and have more options to express themselves online, and discover new systems and friends. Best Regards- Daniel - Argentina http://notebook24hs.blogspot.com
I hope that this commitment is freee, which is not conditioned by any of the rating agencies that exist and of course if this is true, that the project work to see if once and for all cease to be in the hands of regular small group of speculators.
Good luck jgarciaa
Note: sorry for my english, I hope to improve it.
Kudos. This is a brilliant project. I've been pushing for something like this in financial blogs for a while now. some kind of intrade predictive market to replace the asymmetric info credit agency ratings with an open and more granular notation. I think your model is a great start and your crowd-sourced version is an elegant solution. kudos!
questions: are you not afraid speculators will game the ratings by flooding them? the math question should be non-machine-readable image fonts at least. But I would strongly suggest factoring-in a predictive market like intrade. that way people put their money where their mouth is.
you are going to clean up the otc markets forever.