CORC  > 北京大学  > 信息科学技术学院
Emergent and spontaneous computation of factor relationships from a large factor set
Wang, Zitian ; Wang, Lili ; Tan, Shaohua
刊名journal of economic dynamics control
2008
关键词Asset pricing Financial factor analysis Bayesian Network Bayesian inference EXPECTED STOCK RETURNS MARKET EQUILIBRIUM DIVIDEND YIELDS COMMON-STOCKS ASSET PRICES CONSUMPTION RISK INFERENCE ANOMALIES
DOI10.1016/j.jedc.2008.04.005
英文摘要We propose a systematic factor analysis approach using the Bayesian Network (BN) framework by taking great advantage of the information conveyed in the large amount of financial data, as well as experts' personal insight and additional evidence. First, we build the BN for a large set of macroeconomic and firm-specific financial factors, describing factor interrelationships in the market. As a subgraph of the learned BN structure, a compact set of influential factors for return are extracted which jointly have high influence on the rate of return and low mutual redundancy among themselves. Then in the individual firm analysis, based on the general model of the market, additional information like human expert judgment can be incorporated in the model to conduct the specific and concrete individual firm study. Empirical results show the efficiency and flexibility of our method. (C) 2008 Elsevier B.V. All rights reserved.; Economics; SSCI; 7; ARTICLE; 12; 3939-3959; 32
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/153230]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Wang, Zitian,Wang, Lili,Tan, Shaohua. Emergent and spontaneous computation of factor relationships from a large factor set[J]. journal of economic dynamics control,2008.
APA Wang, Zitian,Wang, Lili,&Tan, Shaohua.(2008).Emergent and spontaneous computation of factor relationships from a large factor set.journal of economic dynamics control.
MLA Wang, Zitian,et al."Emergent and spontaneous computation of factor relationships from a large factor set".journal of economic dynamics control (2008).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace