Abstract
The paper presents a concept of immune paradigm application to monitoring of company environment. Short-time prediction of stock rates is used as a basic tool to vigil relevant events, viewed as switching between “healthy” and “ill” behavior of the monitored quotations. Two predictive formulas are applied alternatively to recognize the behavior kind. “Illness” detection rules are proposed, based on the prediction efficiency evaluated in moving windows. Parameters of the predictors are modified according to the immune paradigm.
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References
1. Asokan M.V., Chenouri S. et al. (2001) ARCH and GARCH Models. University of Waterloo
2. Augustynek A., Duda J.T. et al. (2003) Matematyczne prognozowanie cen miedzina gieldzie LME. Kwartalnik Automatyka, 4, AGH-UST Univ.Press, Krakow
3. Box G.E.P., Jenkins G.M. (1976) Time Series Analysis. Holden-Day, San Francisco
4. Duda J.T., Augustynek A. (2004) On Possibilities of Improvement of Short-Term Predictions of Stock Indices with Regression Models. [In:] Company Management in Conditions of European Integration, Part 2. AGH-UST Univ. Press, Krakow
5. Hofmeyr S.A., Forrest S. (1999) Immunity by Design: An Artificial Immune System. Proc. of Genetic and Evolutionary Computation Conf., San Francisco
6. Holt C.C. (1957) Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages. Carnegie Institute Of Technology. Pittsburgh, Pennsylvania
7. Manczak K., Nachorski M. (1981) Komputerowa identy.kacja obiektow dynamicznych. PWN, Warsaw
8. Pelech T., Duda J.T. (2005) Application of Immune Paradigm to Monitoring of Stock Market Indices. [In:] Problems of Mechanical Engineering and Robotics. AGH-UST Univ.Press, Krakow
9. Pelech T., Duda J.T. (2005) Immune Algorithm of Stock Rates Parallel Monitoring. [In:] Information Systems and Computational Methods in Management. AGH-UST Univ. Press, Krakow
10. Timmis J., Knight T. et al. (2004) An Overview of Artificial Immune Systems. [In:] Computation in Cells and Tissues: Perspectives and Tools for Thought. Springer.
11. Wierzchon S.T. (s2001) Sztuczne systemy immunologiczne. Teoria i zastosowania. Wyd.
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Pelech, T., Duda, J.T. (2006). Event Detection in Financial Time Series by Immune-Based Approach. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_38
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DOI: https://doi.org/10.1007/3-540-33521-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33520-7
Online ISBN: 978-3-540-33521-4
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