scholarly journals European Option Based R&D Investment Decision Making under Uncertainties

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Qing Miao ◽  
Boyang Cao ◽  
Minghui Jiang

This paper establishes the payoff models of the European option for research and development (R&D) projects with two enterprises in a research joint venture (RJV). The models are used to assess the timing and payoffs of the R&D project investment under quantified uncertainties. After the option game, the two enterprises can make optimal investment decision for the R&D project investment in the RJV.

2011 ◽  
Vol 474-476 ◽  
pp. 1435-1439
Author(s):  
Sheng Li Chen ◽  
Xiao Dong Liu

We formulate the model of R&D investment scale adjustment of defense procurement by applying game theory and contest theory and study the equilibrium of manufacturers’ R&D investment decision-making in defense procurement. We explore mainly the influence of valuation of monopolistic contract and differences among manufacturers’ abilities on investment. The conclusion shows that manufacturers’ investment equilibrium of R&D projects is what the government expects under certain conditions, however, manufacturers’ abilities effect on the investment equilibrium and makes it deviate from the government expectation. Therefore, the government must keep practically manufacturers’ anticipation about the monopolistic contact being consistent with government’s and set basic admission criterion to enable manufactures’ ability well-matched to induce the manufacturers’ investment decisions to the investment equilibrium that it desired.


Author(s):  
Caichuan Wang ◽  
Jiajun Li

The decision on the investment project is to analyze the feasibility and rationality of the project plan from multiple angles. However, due to the limitations of the actual project investment decision-making, this paper proposes a group decision making method based multifunctional intuitively fuzzy VIKOR interval sets. Firstly, according to the established investment decision-making model, the first round of preliminary candidate project schemes is selected. According to the definition of interval intuitionistic fuzzy sets and the traditional VIKOR method, established the research method of this article, and the project investment decision-making model based on VIKOR interval intuitionistic fuzzy sets is established. Finally, the project schemes are sorted according to the closeness degree of schemes. The results show that when sorting each candidate by Qi value, A4 >  A3 >  A2 >  A1 can be obtained. Because Q4 = 0, Q3 = 0.31, the condition q3-q4 >  0.25 is satisfied. It is concluded that the method can not only meet the needs of actual decision-making, but also has strong operability and practicability. The research results have reference value and guiding significance for project investment decision-making, and can promote the sustainable development of the project.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lingyan Meng ◽  
Dishi Zhu

Stochasticity and ambiguity are two aspects of uncertainty in economic problems. In the case of investments in risky assets, this uncertainty is manifested in the uncertainty of future returns. On the contrary, the complexity of the economic phenomenon itself and the ambiguity inherent in human thinking and judgment are characterized by indistinct boundaries. For the same problem, research from different perspectives can often provide us with more comprehensive and systematic information. Currently, the expected value of return or the variance representing risk is still used as a rational investment criterion for both single-stage portfolios and multistage portfolios. However, in general, the greater the expected return of an investor, the greater the risk he should take. Different investors have different requirements for profitability, but regardless of their expected return, they always hope to find a set of portfolios that maximize the probability of achieving the expected rate of return. In this paper, after analyzing the development of portfolio investment theory research, we take fuzzy information processing as the entry point and systematically discuss the theory and methods of fuzzy modeling of portfolio investment decision-making from the perspective of fuzziness around the portfolio investment decision-making process. The results of the empirical analysis show that the existence of basis constraints affects investors’ investment strategies as well as their final returns, but there is a limit to the influence of basis constraints on portfolio performance, and investors can obtain optimal investment returns by selecting a reasonable number of securities to form a portfolio based on the characteristics of different securities.


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