Using Quantile Neural Networks to Estimate the Distribution of Enterprise Values for Construction Enterprise
學年 105
學期 2
發表日期 2017-07-04
作品名稱 Using Quantile Neural Networks to Estimate the Distribution of Enterprise Values for Construction Enterprise
作品名稱(其他語言)
著者 I-Cheng Yeh; Yi-Cheng Liu
作品所屬單位
出版者
會議名稱 International Conference on Business and Information (BAI 2017)
會議地點 International Conference Center Hiroshima, Hiroshima, Japan
摘要 In the cases of corporate investment, financing, or transactions, the probability density function of enterprise values may be more useful. This paper proposes a novel method of employing prediction results of the quantile neural networks to build probability density functions with which we may effectively assess enterprise values. Empirical evidence reveals that the estimated cumulative lognormal distribution curves of the Price-to-Book value ratio (PBR) and the data are well-matched. Thus, the corporate market value is also a lognormal distribution. PBR distributions of construction industries are more skewed to the left, implying that enterprise values of construction industries are lower than those of other industries with the same stockholder equity.
關鍵字 Quantile regression analysis;neural network;construction enterprise;enterprise value
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20170704~20170706
通訊作者
國別 JPN
公開徵稿
出版型式
出處 International Conference on Business and Information (BAI 2017)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115094 )