Application of Optimized Combination Method to Financial Risk Forecasting for Listed Companies
Shuang Zhang, Qing-he Hu
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.71How to use a DOI?
- financial risk; forecasting; combination forecast model; ant colony algorithm
- In a market economy, the competition among enterprises is becoming fiercer. Examples of declaring bankruptcy have become common. Financial risk is predictable, so it is of great practical significance for listed enterprises and the stakeholders to establish an effective financial risk forecasting model. The paper establishes a combination forecast model optimized with ant colony algorithm, to overcome the limitations of single model forecast, based on listed enterprises situation and characters and knowledge of economy management and accounting. It solves the problem of determining weight, and screens out better single forecast model. In this way, forecast content are more comprehensive.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shuang Zhang AU - Qing-he Hu PY - 2012/11 DA - 2012/11 TI - Application of Optimized Combination Method to Financial Risk Forecasting for Listed Companies BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 268 EP - 271 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.71 DO - https://doi.org/10.2991/citcs.2012.71 ID - Zhang2012/11 ER -