Emergent and spontaneous computation of factor relationships from a large factor set
Zitian Wang,
Lili Wang and
Shaohua Tan
Journal of Economic Dynamics and Control, 2008, vol. 32, issue 12, 3939-3959
Abstract:
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.
Keywords: Asset; pricing; Financial; factor; analysis; Bayesian; Network; Bayesian; inference (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165-1889(08)00074-2
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:32:y:2008:i:12:p:3939-3959
Access Statistics for this article
Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok
More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().