Using the Public Information and the Logistic Regression model to Predict the Changes of Taiwan Stock Market Index
碩士 === 國立成功大學 === 財務金融研究所 === 93 === The study is to use the daily public information provided by mass media and to apply logistic regression to forecast the changes of Taiwan stock market index. The sample period covers form January 1, 1999 to December 31, 2004. Empirical results indicate that: (1...
Main Authors: | Yi-Ching Li, 李怡青 |
---|---|
Other Authors: | Chun-Nan Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2005
|
Online Access: | http://ndltd.ncl.edu.tw/handle/63232058487691200244 |
Similar Items
-
Using the Public Information and the Logistic Regression model to Predict the Reversals of Taiwan Stock Market Index
by: Jhen-Jhong Yang, et al.
Published: (2005) -
Taiwan''s stock market performanceprediction analysis of:To Logistic Regression, for example
by: Shih-chi Tsai, et al.
Published: (2013) -
Correlation Analysis of Stocks and PMI Index Based on Logistic Regression Model
by: Qiong Kang
Published: (2021-01-01) -
The predictability of stock index futures markets in Taiwan
by: Luo, Wu-chang
Published: (2005) -
Using Artificial Intelligence In Prediction Of Taiwan Stock Markets
by: Hsieh, Ching-Hao, et al.
Published: (1997)