시계열 네트워크에 기반한 주가예측

다국어 초록 (Multilingual Abstract)

Time series analysis methods have been traditionally used in stock price prediction. However, most of the existing methods represent some methodological limitations in reflecting influence from external factors that affect the fluctuation of stock prices, such as oil prices, exchange rates, money interest rates, and the stock price indexes of other countries. To overcome the limitations, we propose a network based method incorporating the relations between the individual company stock prices and the external factors by using a graph-based semi-supervised learning algorithm. For verifying the significance of the proposed method, it was applied to the prediction problems of company stock prices listed in the KOSPI from January 2007 to August 2008.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 방법론
• 3. 실험
• 5. 결론
• 참고문헌

참고문헌 (Reference)

1 신현정, "Stock Price Forecasting using Semi-Supervised Learning" KORMS 110-116, 2010

2 Zhu, X., "Semi-Supervised Learning with Graphs" Carnegie Mellon University 2005

3 Belkin, M., "Regression and Regularization on Large, in COLT" 3120 : 624-638, 1986

4 Vuk, M, "ROC Curve, Lift Chart and Calibration Plot" 3 : 89-108, 2006

5 Shin, H., "Oil Price Prediction From Influence Propagation" 59-, 2009

6 Kanas, A., "Non-linear Forecasts of Stock Returns" 22 : 299-315, 2003

7 Zhou, D., "Learning with local and global consistency" 16 : 321-328, 2004

8 Shin, H., "Graph Sharpening" 37 : 7870-7879, 2010

9 Amilon, H., "GARCH estimation and discrete stock prices：an application to low-priced Australian stocks" 81 : 215-222, 2003

10 Liu, H.C., "Forecasting China Stock Markets Volatility via GARCH Models Under Skewed-GED Distribution" 5-15, 2009

11 Kim, K.-J., "Financial time series forecasting using support vector machines" 55 : 307-319, 2003

12 Chen, N.-F., "Economic Forces and the Stock Market" 59 : 383-403, 1986

13 Bekiros, S.D, "Direction- of-Change Forecasting Using a Volatility- Based Recurrent Neural Network" 27 : 407-417, 2008

14 Kim, K.-J., "Artificial neural networks with evolutionary instance selection for financial forecasting" 30 : 519-526, 2006

15 Tay, F.E.H, "Application of support vector machines in financial time series forecasting" 29 : 309-317, 2001

16 Yang, B., "An early warning system for loan risk assessment using artificial neural network" 14 : 303-306, 2001

17 Jeantheau, T., "A link between complete models with stochastic volatility and ARCH models" 8 : 111-131, 2004