Wednesday, May 6, 2020

Management of Capital Budgeting Techniques †MyAssignmenthelp.com

Question: Discuss about the Management of Capital Budgeting Techniques. Answer: Introduction Decisions of capital budgeting have a significant role in the financial decision-making process. Business profitability totally depends on the investments made for long term. These investments are completed by assessing the capital budgeting proposal. Thus, this process requires special attention and care. Relation Between Management Decision Making And Capital Budgeting Techniques Engaging huge amounts in capital budgeting: Decisions of capital budgeting require adequate amount of capital structure. Further, this highlights the necessary need of appropriate, sensible and attentive decisions; however improper decisions will not only lead to losses but also take the firm away from profits (Chen, Weikart Williams, 2014). Permanent decision-making in Capital budgeting: Mostly, decisions of capital budgeting are on permanent basis, it is because it is hard to search for a market for such type of assets. The only option would be to scrap the capital assets acquired and bear huge losses. Hazards and insecurity in capital budgeting: Decision of capital budgeting is engaged in high level of uncertainties. Investment is both present as well as future (Zhang, Huang Zhang, 2015). As they say, future is full of uncertainties and risks. The longer the project will be the higher risks and uncertainties will be. The estimates regarding profits, income and costs might not appear as true. National significance: Choosing or selecting any of the projects will lead to employment opportunities, high per capital income, economic development. These are said to be a common influence of project made by entity (Chittenden Derregia, 2015). Sensitivity Analysis This analysis assists business entities in estimating the outcomes of the project of the statement and assumptions are irrelevant. Sensitivity analysis engages in altering the assumptions to watch the effects on thefinance of project. In such a way, it organizes the manager of business, if the project is not able to meet desired results, in order to evaluate properly before making investments (Jain, Singh Yadav, 2013). Calculation Coming to the calculations of capital budgeting, sensitivity analysis modifies one estimate at one time, to check the results of change. For instance, a business entity desires to generate $500, $1,000 and $1,000 in its initial project for 3 years. If the business initial investment is $2,500, then it will regain its expenses in 3 years. Conversely, the project might do more well as expected, earning $2,000 annually in the 2nd and 3rd year. Hence the break-even point will be achieved by the business in two years (Kerler III, Fleming Allport, 2014). Scenario Analysis Scenario analysis is a method of analyzing and assessing decisions by optional likely outcomes. This analysis is specially designed and intended to keep an eye on results of an action under a range of factors. Scenario analysis takes sensitivity analysis to another level, instead of just taking a look at NPV sensitivity analysis to alterations in the variable presumptions, scenario analysis also evaluates the probability distribution of such variables (Borgonovo Plischke, 2016). Scenario analysis begins its work with base case scenario construction. As other scenarios are said to be the best or worst-case scenario. Possibilities are allotted to scenarios and calculated to reach at desired value. Sometimes individuals are not sure about more than one of the assumptions. They would be willing to expand sensitivity analysis to comprise changing various variables simultaneously; this is known as scenario analysis. Yet again, which assumptions to select for change, in what quantity to change, all such decisions depend on the details of problem. One aspect to consider is to notice what happens at the last stage. The best case is said to be when everything runs higher than it was thought to be (Graham Sathye, 2017). This all sounds good, but possibly more significant to consider is the worst case, when everything runs worse than it was thought to be. Hence, it is essential to assess how much problem the business will face, if everything does not follow the path th at company wants. Determination of probability distribution of an investment is corresponding to determination of inherent risk in that investment. By making comparison between the expected risk and anticipated return and overlaying that with the risk tolerance of an investor, better decision making is possible regarding whether or not to invest in the proposed business venture. Scenario analysis could be used in several ways (Zhang, Huang Zhang, 2015). The most common way is to undertake multi-factor assessment (frameworks comprising of multiple variables) in the below mentioned way: Developing a definite number of scenarios Determine the high/low spread Create intermediate situations Random factor assessment Monte Carlo evaluation Several to infinite number of situations Break Even Analysis Break even analysis is a helpful and valuable tool to examine the connection between fixed costs and variable cost. Break-even point is said to be when the investment made has a positive impact and this can be identified graphically or with the help of simple math. Break even analysis calculates the total amount of productivity at a particular price, essential to all the costs incurred (Bierman Jr Smidt, 2014). Break-even analysis is useful in both cost accounting as well as capital budgeting, for assessing the projects and product category on the basis of their relationship with quantity and profitability. In short, this tool is usually used to identify the volume by which the cost of firm will be equal to its revenue, thus the net income gained is zero, or the firm is at the point of break even. Break-even analysis pushes small scale business owners to study volumes and classify the cost of business in the groups of fixed and variable. The most crucial aspect is to consider what step will take company to break-even point (Chen, Weikart Williams, 2014). Accurate incorporating and deep analysis of break-even must be regular course of a business and financial planning, as it will keep the entity aware how they are actually doing. Identifying the needs of business will also help in developing cash inflows and outflows and break-even point. Formula for calculating break-even analysis is as below: BEQ FC / (P-VC) Where BEQ Break-evenquantity FC = Total fixed costs P =Average price per unit, and VC = Variable costs per unit. Fixed costs are inclusive of leases on equipment, rent, insurance, managerial salaries, interest on loans, and these costs do not vary as per sales volume. On the other hand, variable costs are inclusive of raw materials, delivery expenses, direct labor, sales charges these costs are fluctuating with sales level (Zhang, Huang Zhang, 2015). Contribution margin is a key driver of break-even analysis that can be stated as price of good or service (P) and deduct variable cost (VC) per unit sold. The concept of contribution margin concept is stuck withinmarginal analysis; its aim is the additional cost and revenue which will be spent on every additional unit (Kerler III, Fleming Allport, 2014). Simulation Techniques In modern times, simulation is widely used; mostly people have their own point of view for this term. Basically, the term simulate refers to capturing the essence, with no reality attaining. For the purpose of management, simulation classically includes developing business approach or model and further implementing experiments by making use of the model to estimate the behavior of the system under the management policies. There is continuous use of financial models; the significance of modeling is not very surprising here. While discussing about simulation, proper attention must be given to modeling as simulation models contain highly complexity (Dellavigna Pollet, 2013). Another role of simulation is to assist in the designing of projects and the selection between variable resource commitment in project options. For instance, company will be able to determine various decisions variables while designing a project like the pricing strategies or analysing quantity for new commodity. If the link between decision variable levels and the projected cash flow will be identified, then the experiments of simulation can be further used to help in the designing process and in the project evaluation as well (Abor, 2017). In the simulation model intended for capital budgeting, the investment project will be taken into consideration as a system under study. Further, the business desires to imitate all inputs and outputs, expenditure and receipts that are connected with the incremental cash flow regarding the project. These all are characterized via set of equations or the relationship among decision variables, in a separate multiyear symbol model (Tangedahl Manuel, 2014). It can change the general Net Present Value calculation as of each alternative via altering NPV input by the likely possibility, which might be expert estimation or objective data further stimulate it. The ladder of simulation model is the element of risk analysis procedure, which the computer assumes. When all the assumption or estimates are done, inclusive of correlation condition, the last part to consider is the repeated processing of model, until sufficient outcomes are assembled in order to form a representative sample signifying infinite number of possible combinations (Li, Peng Li, 2015). All through the model of simulation, the risk variable values are chosen randomly in the particular ranges as per the correlation conditions and the establish probability distributions. Various set-ups of Net Present Value output are recorded under this software. Moreover, the output described is not a single value but a possibility distribution of each probable desired outcome. The outcome provides an overall portfolio of risk or return while representing all the potential results that can lead from decisions (Burns Walker, 2015). Conclusion Hence, it can be concluded that capital budgeting is the process of assessing the feasibility of long-range investments with the purpose of assigning financial resources to fruitful investments. The evaluation methods used in capital budgeting typically pay attention to the cost of investment pertaining to the advantages they yield during their economic life. Indeed, it is one of the most crucial decision, a management has to take, as it enables the analysis and selection of the most feasible investment. It offers the absolute decision criteria to either accept or reject any proposal for investment. Sensitivity analysis, scenario analysis, break even analysis and simulation techniques are some of the techniques in capital budgeting that facilitate effective decision making. The key to decision making is the assessment of available alternatives and choosing the most viable from the options. The techniques mentioned above provide a quantitative evaluation which entails predicting futur e performance for making long term investment decisions. References Abor, J. Y. (2017). Evaluating Capital Investment Decisions: Capital Budgeting. InEntrepreneurialFinance for MSMEs(pp. 293-320). Springer International Publishing. Bierman Jr, H., Smidt, S. (2014).Advanced capital budgeting: Refinements in the economic analysis of investment projects. Routledge. Chen, G. G., Weikart, L. A., Williams, D. W. (2014).Budget tools: Financial methods in the public sector. CQ Press. Borgonovo, E., Plischke, E. (2016). Sensitivity analysis: a review of recent advances.European Journal of Operational Research,248(3), 869-887. Burns, R., Walker, J. (2015). Capital budgeting surveys: the future is now. Chittenden, F., Derregia, M. (2015). Uncertainty, irreversibility and the use of rules of thumbin capital budgeting.The British Accounting Review,47(3), 225-236. Dellavigna, S., Pollet, J. M. (2013). Capital budgeting versus market timing: An evaluation using demographics.The Journal of Finance,68(1), 237-270. Gornik-Tomaszewski, S. (2014). Capital Budgeting Simulation Using Excel: Enhancing the Discussion of Risk in Managerial Accounting Classes.Management Accounting Quarterly,15(4). Graham, P. J., Sathye, M. (2017). Does National Culture Impact Capital Budgeting Systems?.AustralasianAccounting Business Finance Journal,11(2). Jain, P. K., Singh, S., Yadav, S. S. (2013). Capital Budgeting Decisions. InFinancial Management Practices(pp. 37-76). Springer India. Kerler III, W. A., Fleming, A. S., Allport, C. D. (2014). How framed information and justification impact capital budgeting decisions. InAdvances in Management Accounting(pp. 181-210). Emerald Group Publishing Limited. Li, H., Peng, J., Li, S. (2015). Uncertain programming models for capital budgeting subject to experts' estimations.Journal of Intelligent Fuzzy Systems,28(2), 725-736. Tangedahl, L., Manuel, T. A. (2014). An international capital budgeting experiential exercise.Developments in Business Simulation and Experiential Learning,31. Zhang, Q., Huang, X., Zhang, C. (2015). A mean-risk index model for uncertain capital budgeting.Journal of the Operational Research Society,66(5), 761-770.

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