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Volumn , Issue , 2009, Pages 1366-1371

A new approach of stock price trend prediction based on logistic regression model

Author keywords

Logistics regression model; Regression coefficients; Stock price trend prediction

Indexed keywords

ANN PREDICTION; FINANCIAL DATA; INDEX VARIABLES; INTEGRATED DATA; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; LONG TERM; NEW APPROACHES; PREDICTION ACCURACY; PRIVATE INVESTORS; REGRESSION COEFFICIENTS; RESEARCH DATABASE; STOCK PRICE; STOCK PRICE PREDICTION; STOCK PRICE TREND PREDICTION; STOCK TRADING; STUDY CASE;

EID: 70449553552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NISS.2009.267     Document Type: Conference Paper
Times cited : (33)

References (10)
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    • Yun, Z.1    Xingyu, W.2
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    • Le liHua, Wen Rongsheng, Zhu hui. Stock Market Forecast Based on RBF Neural Network and MATLAB Realization [J]. SCI-TECH Information Development & Economy, 2008, 18(30), pp. 151-152.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.