scholarly journals Games Theory and Real Options: A model to asses strategies, agreements and penalties

2021 ◽  
Vol 7 (2) ◽  
pp. 18-37
Author(s):  
Gastón Milanesi

In competitive environments, the design and election of strategies demand to consider three potential sources of uncertainty: risks derived from self-actions, risks emerged from states of nature and risks derived from competitors´ decisions. For that, a numerical model that considers the competitors´ actions is required, for value strategies, join venture design and penalty quantification. The paper proposes a simple numerical model of Game Theory and Real Options with multiples source of risk. The first part exposes the mathematical basis of the model. Its functioning is illustrated with the cases valuation related to strategies without collaborative agreement. Next, the cooperation strategy and default monetary penalties are valued. Finally, the main conclusions are exposed.

2007 ◽  
Vol 7 (11) ◽  
pp. 1511-1515 ◽  
Author(s):  
Nader Shariatmad ◽  
Mohammad Reza Sabour ◽  
Hamidreza Kamalan ◽  
Arash Mansouri ◽  
Mostafa Abolfazlza

2014 ◽  
Vol 2 (6) ◽  
pp. 261-268
Author(s):  
Андрей Гусев ◽  
Andrey Gusev ◽  
Денис Нарулин ◽  
Denis Narulin

Investment in mining projects involves significant costs, long period of time, consistent type of investment decisions and complex mosaic of the many unforeseen factors affecting the cost of the project. Real options valuation (ROV) is one of the modern methods of assessment that helps in adaptation and revision of mining projects under uncertainty. Application of the method is technically demanding and requires a certain knowledge of the mining industry, and also has three main barriers: the problem of marketing, analysis and consequences. The mathematical basis of this method is a valuation model based on option pricing model, invented by Black — Scholes. List of alternatives and opportunities in project phases discussed in the article demonstrates perfect suitability of the mining industry for practicing different types of real options.


1997 ◽  
Author(s):  
Marco Capacci ◽  
Marco Minucci ◽  
Alberto Severi ◽  
Marco Capacci ◽  
Marco Minucci ◽  
...  

2021 ◽  
Vol 247 ◽  
pp. 04016
Author(s):  
Jan Dufek ◽  
Ignas Mickus

We show here that computing efficiency of Monte Carlo burnup simulations depends on chosen values of certain free parameters, such as the length of the time steps and the number of neutron histories simulated at each Monte Carlo criticality run. The efficiency can thus be improved by optimising these parameters. We have set up a simple numerical model that made it possible for us to test a large number of combinations of the free parameters, and suggest a way to optimise their selection.


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