Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Advance Journal of Food Science and Technology


Based on Markov Chain of Agricultural Enterprise Risk Investment Profit Forecast Economic Model

Ouyang Bin
Department of Higher Vocational and Technical Education, Xijing College, Xi’an City, P.R. China
Advance Journal of Food Science and Technology  2014  1:26-28
http://dx.doi.org/10.19026/ajfst.6.3025  |  © The Author(s) 2014
Received: July 25, 2013  |  Accepted: October 19, 2013  |  Published: January 10, 2014

Abstract

The Markov chain empirical prediction results of economic models based on agricultural enterprises, so as to avoid investment risks. Venture capital investment as a new investment tool, its earnings forecast method is better than the traditional finance investment prediction, which is more complex, more professional. This study constructs a risk investment based on Markov chain prediction of economic model, the fitting matrix method to estimate one-step transfer probability matrix. Finally taking Shaanxi Huasheng Group's actual earnings data as an example, a calculating example is given, which shows the effectiveness of the method. This study presents the economic model for the development of the venture capital industry has certain positive role.

Keywords:

Fitting, forecasting, Markov chain, venture capital,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved