Exploration Risk

Author(s):  
Donald Singer ◽  
W. David Menzie

It is commonly said that mineral exploration is a risky business, but what does that really mean? Although exploration can be financially rewarding, there is a high probability that a single venture will be a failure. Risk is defined as chance of failure or loss and its adverse consequence (i.e., failure or loss). Risk differs from uncertainty in that uncertainty simply means lack of knowledge of the outcome or result, whereas risk involves a loss. Thus, one could be uncertain of an outcome, but not necessarily be at risk of losing something. In risk analysis, two quantities are estimated: the magnitude (severity) of the possible adverse consequence(s), and the likelihood (probability) of occurrence of each consequence. Procedures of risk analysis are well established, if not simple, and are applied in both business and engineering (Aven, 2003; Bárdossy and Fodor, 2004; Davis and Samis, 2006). Mineral exploration is an economic activity involving risk and uncertainty, so risk also must be defined in an economic context in which the extent of the loss is defined. Successful mineral exploration strategy requires identification of some of the risk sources and consideration of them in the decision-making process so that controllable risk can be reduced. It is not uncommon to see recommendations that exploration firms should accept all projects with positive expected monetary values—that is, projects that have a positive economic value after being multiplied by the probability of deposit discovery and subtraction of exploration costs. Clearly, this strategy would be unwise for a firm with limited resources if the chance of failure were significant. Both expected monetary values and the probabilities of various outcomes such as economic failure should be considered in the decision-making process. Because economic return, when measured by net present value, is closely related to the size of mineral deposits, and because deposit sizes can be represented by highly skewed frequency distributions, achieving expected monetary or higher values tends to be a low-probability outcome. This and the typical rareness of mineral deposits are the fundamental reasons for the high risk in mineral exploration.

1999 ◽  
Vol 26 (1) ◽  
pp. 13-25 ◽  
Author(s):  
Aminah Fayek ◽  
Indrani Ghoshal ◽  
Simaan AbouRizk

This paper presents the findings of a survey of the bidding practices of Canadian civil engineering construction contractors. The results of the survey provide insight into the most important factors that contractors consider in making four bid decisions: the decision to bid, the risk allowance, the opportunity allowance, and the markup-size decision. The survey methodology is described to illustrate its effectiveness. Common practices in assessing risks and opportunities, the competition, and markup are discussed. A major conclusion of this paper is that the decision-making process used in bidding is largely subjective and based on experienced judgement. The assessment of the competition is done on an informal basis in most cases, with little use of historical competitor data. Risk and opportunity assessment is subjective and largely based on experience. Although the markup-size decision is critical to the success of a company in achieving its objectives and realizing a profit, markup setting is usually based on experience, with little or no formal methods of analysis.Key words: bidding, markup, risk analysis, surveys, tendering.


2020 ◽  
Vol 18 (3) ◽  
pp. 211-217
Author(s):  
I. Kancheva

Purpose: Children play a significant role as active participants in different markets through their own spending power. They are also able to exert considerable influence – explicit or implicit - over other family members’ consumer behavior. The combination of various spatial, structural, financial and practical aspects place the purchase of a real estate among the most complex for the family. The objective of the present paper is to reveal the degree and form of children’s influence throughout family real estate purchase decision-making process. Methods: This paper represents the results of an empirical study focused on parental perceptions of children’s influence in a family real estate purchase. Data were gathered using a convenience sample of 286 respondents – 156 men and 130 women from different Bulgarian families. Frequency distributions, analysis of variance, paired samples and independent samples t-test were applied for the aims of the analysis. Results: Children are found to exert moderate indirect influence throughout the family real estate purchase. They are most influential in the final phase of the real estate purchase decision-making process. Although high influence scores are detected in some attributive decisions, children are found least influential over choices related to technical and financial aspects of the purchase.


2014 ◽  
Vol 899 ◽  
pp. 568-571 ◽  
Author(s):  
Karel Kubečka ◽  
Pavel Vlček ◽  
Darja Kubečková ◽  
Daniel Pieszka

The paper reflects the possibility of utilization of methods and proceedings used in risk assessment for area different from nowadays usage. Risk determination is customary for large and significant constructions within the feasibility study. Used procedures and methods can be applied very well in some cases of experts and authorized proceedings, such as setting the sequence of buildings acceptable for reconstruction of objects in defined group, or setting the coefficient for specification of claim amount arisen in the construction in the case of time-independent price.


2019 ◽  
Vol 21 (2) ◽  
pp. 95-112
Author(s):  
Cencheng Zhao ◽  
Eunhwa Yang ◽  
Yiqian Nie ◽  
Justin D. Russo

Purpose This paper aims to provide organizations with a new tool to make decisions related to a facility (building) selection process. Traditionally, value engineering (VE) applies the Value = Function/Cost formula to evaluate the worth of a product. In this paper, the VE-based facility-selection approach is proposed, where the cost of a facility is expressed in net present value (NPV) as it contains the net expense of purchasing or leasing a building as well as the time value of money. Also, a method of quantifying functions and involved risks of different facility choices is proposed. Design/methodology/approach The framework of the VE-based facility-selection process is broken down into three steps: preparation, calculation/analysis and assessment. In the latter part of this paper, the authors share a sample analysis by illustrating the analysis and decision-making process when three hypothetical facility-selection options are available. Findings The sample analysis indicates that companies can get the lowest cost and risk while improving their functions to achieve the highest value by using the modified VE formula to drive an optimal option for company’s business expansion and facility-selection process. Originality/value This paper provides organizations with a strategic system and process to select proper facilities or buildings for business expansion. The VE approach suggested in this study can allow facility/real estate portfolio decision-makers to analyze financial and functional aspects of the facility at the same time and obtain the value coefficient when they choose a new facility from different options. Finally, they can select the best option, which has the highest value coefficient, given financial and functional considerations.


2017 ◽  
pp. 22-27 ◽  
Author(s):  
O. Kukhotskyi ◽  
O. Dybach ◽  
T. Iešmantas

Uncertainties are very important in risk analysis and should be considered in the decision-making process. This paper proposes the methodology for estimation of PSA uncertainties in risk-informed decision-making. The methodology allows solving the complex task of identifying the sources of uncertainties, assessing their range, and providing an approach for consideration of PSA results with uncertainties in combination with other factors underlying risk-informed decision-making. The levels of uncertainties are proposed to be classified using the variation factor. The authors applied the developed methodology to assess alternatives of post-Fukushima safety measures.


2020 ◽  
Author(s):  
Esra Tepeli

Infrastructure construction projects are complex with a very long life-cycle, a complex organizational plan, a complex resource management, technical complexities, contractual complexities and macro-environmental factors. The complexity of an infrastructure project leads to the existence of interdependent risks, which are hard to anticipate and control. As the investment is major for these types of projects, the risks and opportunities are critical to the project success or failure, the risk factors need to be identified and analyzed before any decision-making process. While upfront planning is important, not all events and scenarios can be foreseen as the project can take several years to complete and may involve many companies and stakeholders. In this planning stage of the project, a robust risk analysis method is indispensable for identifying and analyzing the major risk and opportunity factors. In this paper, a formalized multi-criteria decision-making process is developed based on a strategic risk analysis in a complex environment: (1) in a very early stage and at a strategic level, (2) before the contracting phase in order to develop a risk allocation plan and negotiate it with the project owner.


2014 ◽  
Vol 651-653 ◽  
pp. 1249-1254 ◽  
Author(s):  
Vincenzo del Giudice ◽  
Alfredo Passeri ◽  
Francesca Torrieri ◽  
Pierfrancesco de Paola

The present paper aims at testing new techniques of Quantitative Risk Analysis (QRA), based on a Monte Carlo Simulation (MCS), to Cost-Benefit evaluation of transportation projects. Cost-Benefit analysis have been widely used for the evaluation of projects, especially in the phase of "feasibility study" in order to support decision makers in the choice between design alternatives compared to financial and socio economic performance indicators.However, the empirical experience has shown that investment appraisal can be affected by many elements of risk, due to system’s uncertainty and the multiplicity of interests involved [1,2] especially in a field such as the construction of a new road that will affect a community [3].Actually, the input and output variables of the model, can not always be determined with certainty by the analyst, but are influenced by elements of uncertainty due to numerous biases that "normally" connote a decision-making process in which multiple variables contribute to the formulation of the choice.QRA and MCS aims at quantify the uncertainty embedded in the appraisal model through a probabilistic approach, effectively accounts for every possible value that each variable within the model can take by use of various Probability Distribution Function (PDF). The resulting point estimate is then transformed into an interval estimate illustrated in terms of PDF.The proposed approach will be tested on an interesting case study regarding the economic evaluation of a new connection road in the Latium region of Italy. The results obtained shown that QRA and MCS can helps decision makers in taking more transparent and responsible behaviors in the decision making process.


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