DocumentCode :
3309139
Title :
Investment decision-making of the mining right values based on mean-reverting
Author :
Liu, Jianbing ; Liu, Liang ; Long, Mi
Author_Institution :
Coll. of Econ. & Manage., Jiangxi Univ. of Sci. & Technol., Ganzou, China
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
235
Lastpage :
239
Abstract :
It is the key to reasonable estimate the mining right value in the investment decision-making. Mean-reverting is used to simulate the fluctuant process of product price, normal distribution and stochastic process help to forecast the annual net income. Then, the cost of equity can be reckoned by CAPM (the capital asset pricing model), and considering the cost of credit subscribed capital, the dynamic risk cost of mineral projects also can be estimated by weighted average cost of capital model. At last, we can get the investment value appraisal model of mineral projects. The results accords with the practically fluctuant character of mining right value and investment risks, the value of mineral projects also accord with the practical operating situation, it can provide a scientific and important reference for the decision-maker of mining projects.
Keywords :
decision making; decision theory; forecasting theory; investment; minerals; mining industry; normal distribution; pricing; project management; stochastic processes; annual net income forecast; capital asset pricing model; capital model weighted average cost; investment decision-making; mean-reverting; mineral project; mining project; mining right value; normal distribution; product price fluctuant process; stochastic process; Appraisal; Costs; Decision making; Educational institutions; Gaussian distribution; Investments; Mineral resources; Predictive models; Pricing; Stochastic processes; Capital Asset Pricing Model; investment decision-making; mean-reverting; mining right value; weighted average cost of capital;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5234427
Filename :
5234427
Link To Document :
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