Title :
Financial forecasting of chinese listed companies based on OR-CBR in the principle of K-nearest neighbors
Author :
Yuan, Xiu-e ; Zou, Yu
Author_Institution :
Dept. of Bus. Adm., North China Electr. Power Univ., Baoding, China
Abstract :
Financial distress is the most synthetic form of business crisis and financial distress prediction (FDP) has been a widely and continually studied topic in the field of corporate finance. This paper attempts to put forward OR-CBR in K-nearest neighbors model, which can be the implementation of corresponding algorithm.
Keywords :
case-based reasoning; financial management; learning (artificial intelligence); pattern classification; Chinese listed companies; case-based reasoning; corporate finance; financial distress prediction; financial forecasting; k-nearest neighbors; outranking relations; Companies; Euclidean distance; Finance; Forward contracts; Nearest neighbor searches; Neural networks; Power generation economics; Predictive models; Rough sets; Support vector machines; Case-based reasoning; Chinese listed companies; Financial forecasting; K-nearest neighbor principle; Outranking relations;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451720
