Application of multi-agent games to the prediction of financial time-series
We report on a technique based on multi-agent games which has potential use in the prediction of future movements of financial time-series. A third-party game is trained on a black-box time-series, and is then run into the future to extract next-step and multi-step predictions. In addition to the possibility of identifying profit opportunities, the technique may prove useful in the development of improved risk management strategies.
Year of publication: |
2001-05
|
---|---|
Authors: | Johnson, N. F. ; Lamper, D. ; Jefferies, P. ; Hart, M. L. ; Howison, S. |
Institutions: | arXiv.org |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Anatomy of extreme events in a complex adaptive system
Jefferies, P., (2003)
-
From market games to real-world markets
Jefferies, P., (2001)
-
New measure of multifractality and its application in finances
Grech, Dariusz, (2013)
- More ...