원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
The International Journal of Advanced Smart Convergence
Volume 7 Number 2
2018.06
pp.86-94
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This study focuses on presenting the IT program module provided by real - time forecasting and database of the voluntary disclosure quality measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. This study suggests a model of the algorithm that the quality of real - time voluntary disclosure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine.
목차
Abstract
1. Introduction
2. Prior Researches and The Purpose of This Paper
3. The Definition of Zhang’s Qualitative Measure
3.1 The Disclosure Window
3.2 Estimation of the Zhang’s Qualitative Measure
4. Automatic Estimation and Real-time Disclosure By Programming Technology
5. Conclusion
References
1. Introduction
2. Prior Researches and The Purpose of This Paper
3. The Definition of Zhang’s Qualitative Measure
3.1 The Disclosure Window
3.2 Estimation of the Zhang’s Qualitative Measure
4. Automatic Estimation and Real-time Disclosure By Programming Technology
5. Conclusion
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보