Forecast of business performance using an agent-based model and its application to a decision tree Monte Carlo business valuation

Y. Ikeda, O. Kubo and Y. Kobayashi

Physica A: Statistical Mechanics and its Applications, 2004, vol. 344, issue 1, 87-94

Abstract: The stochastic-agent-on-tree method for business valuation is proposed by applying the game theory to the agent-based model. The proposed method is reduced to the real option valuation method using approximations. Demand forecasting and business valuation for computer-related industries are investigated as a case study.

Keywords: Particle dynamics; Decision theory and game theory; Stochastic analysis methods (Fokker–Planck; Monte Carlo methods; Classical statistical mechanics; Brownian motion (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437104009124
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:phsmap:v:344:y:2004:i:1:p:87-94

DOI: 10.1016/j.physa.2004.06.093

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().