Information Technology Reference
In-Depth Information
Applying the predictor to the intraday financial time series allows to effectively
perform for one step where the correctness reaches 70% of properly recognized
signs. The best strategy in the case of Polish stocks is a mean-reverting one.
Only slightly worse predictions are attained by autoregressive systems. Unfor-
tunately, these encouraging results are mostly useless, for building a profitable
investing system. We explained that successful acting requires statistically sig-
nificant forecasts for more than only one step forward.
References
1. Box, G., Jenkins, G.M., Reinsel, G.: Time Series Analysis: Forecasting & Control,
3rd edn. Prentice Hall (1994)
2. Challet, D., Marsili, M.: Phase transition and symmetry breaking in the minority
game. Physical Review E 60, 6271-6274 (1999)
3. Challet, D., Marsili, M.: Relevance of memory in minority games. Physical Review
E 62, 1862-1868 (2000)
4. Challet, D., Marsili, M., Zhang, Y.C.: Modeling market mechanism with minority
game. Physica A 276, 284-315 (2000)
5. Challet, D., Zhang, Y.C.: Emergence of cooperation and organization in an evolu-
tionary game. Physica A 246, 407-418 (1997)
6. Challet, D., Zhang, Y.C.: On the minority game: Analytical and numerical studies.
Physica A 256, 514-532 (1998)
7. Chen, F., Gou, C., Guo, X., Gao, J.: Prediction of stock markets by the evolutionary
mix-game model. Physica A 387, 3594-3604 (2008)
8. Gou, C.: Predictability of Shanghai Stock Market by agent-based mix-game model.
In: Proceeding of IEEE ICNN&B 2005, pp. 1651-1655 (2005)
9. Gou, C.: Dynamic behaviors of mix-game models and its application. Chinese
Physics 15, 1239 (2006)
10. Jefferies, P., Hart, M.L., Hui, P.M., Johnson, N.F.: From market games to real-
world markets. The European Physical Journal B 20, 493-501 (2001)
11. Johnson, N.F., Lamper, D., Jefferies, P., Hart, M.L., Howison, S.: Application of
multi-agent games to the prediction of financial time series. Physica A 299, 222-227
(2001)
12. Krause, A.: Evaluating the performance of adapting trading strategies with differ-
ent memory lengths. In: Corchado, E., Yin, H. (eds.) IDEAL 2009. LNCS, vol. 5788,
pp. 711-718. Springer, Heidelberg (2009)
13. Lillo, F., Farmer, J.D.: The long memory of the e cient market. Studies in Non-
linear Dynamics & Econometrics 8, 1-33 (2004)
14. Wawrzyniak, K., Wislicki, W.: Multi-market minority game: breaking the symme-
try of choice. Advances in Complex Systems 12, 423-437 (2009)
15. Wawrzyniak, K., Wislicki, W.: Phenomenology of minority games in e cient
regime. Advances in Complex Systems 12, 619-639 (2009)
16. Wawrzyniak, K., Wislicki, W.: Mesoscopic approach to minority games in herd
regime. Physica A 391, 2056-2082 (2012)
Search WWH ::




Custom Search