Journal article

ZÁMEČNÍKOVÁ Eva and KRESLÍKOVÁ Jitka. Time Series Prediction Based on Event Driven Business Process Management. International Journal of Computational Engineering Research (IJCER). Ghaziabad, Uttar Pradesh: International Journal of Computational Engineering research, 2014, vol. 4, no. 4, pp. 1-6. ISSN 2250-3005.
Publication language:english
Original title:Time Series Prediction Based on Event Driven Business Process Management
Title (cs):Predikce časových řad s využitím BPM
Pages:1-6
Place:IN
Year:2014
Journal:International Journal of Computational Engineering Research (IJCER), Vol. 4, No. 4, Ghaziabad, Uttar Pradesh, IN
ISSN:2250-3005
Keywords
Business Rules, Complex Event Processing, Event-Driven Architecture, Financial Markets, High Frequency Data, Prediction, Trading
Annotation
In this paper I would like to focus on time series prediction for building trading systems based on unification of the seemingly antagonistic concepts of Complex Events Processing (CEP) and discrete, legacy business logic. In the realm of the high frequency market-making trading systems, the incoming stream of data from multiple asset sources and venues shall be processed primarily by a real-time CEP engine till the point when the statistical characteristics of the continuous results cross into the "fat-tail" distribution region, when a set of stringent risk-management business rules kick in.
BibTeX:
@ARTICLE{
   author = {Eva Z{\'{a}}me{\v{c}}n{\'{i}}kov{\'{a}} and Jitka
	Kresl{\'{i}}kov{\'{a}}},
   title = {Time Series Prediction Based on Event Driven
	Business Process Management},
   pages = {1--6},
   journal = {International Journal of Computational Engineering Research
	(IJCER)},
   volume = {4},
   number = {4},
   year = {2014},
   ISSN = {2250-3005},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10599}
}

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