scholarly journals Just-in-Time system in terms of real options

Competitio ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Andrea Rozsa

The value creation process in a company and the competitive position are critically influenced by corporate resource allocation and proper valuation of investment alternatives. After the Second World War, capital budgeting and strategic planning emerged as two complementary but different systems for resource allocation. The real options approach developed in the ’80s may provide a useful tool for making a connection between capital budgeting and strategic management. Real options are implicit managerial and operating flexibilities embedded in many non-financial assets and liabilities. In a wider sense: “A real option is the investment in physical assets, human competence, and organisational capabilities that provide the opportunity to respond to future contingent events” (Kogut-Kulatilaka, 2001). This paper shows that Just-in-Time (JIT) system as management philosophy can be regarded as a knowledge-based or capability-based implicit strategy rather than a simple, easy-toimitate best practice approach. Moreover, implementation of JIT can be considered as a strategic investment. The presentation focuses on how the relation among strategic investments, developed technological systems and corporate strategy can be expressed through the real options view.

2014 ◽  
pp. 125-132
Author(s):  
Edina Kulcsár

The valuation of company is very important because provides information about the current value/situation of company, and through this, provide the opportunity of choosing the best company’s growth alternatives. The future strategic decisions are characterized by lack of knowledge, information, so all measures of company’s growth are closely linked with uncertainty and risk. The company’s valuation process is also related with uncertainty and risk. The risk may result both from the assessed assets and the technique used. In literature, we could find three approaches for risk management: capital budgeting based method, methods based on portfolio analysis and real options approach of risk management. Among them, the real options based methods is the most revolutionary approach for risk management. The advantages of the method, consists in the fact, that the process of establishing strategic decisions integrates the possibility of reversibility, delay and rejections, which isn’t it possible at two previous methods. The method also takes into account the total risk of company, so both the company-specific and systematic risk. In this study, I have used one of the best-known real option based method, the Black-Scholes model, for determining the option’s value. Determination of option value is based on the data of enterprise, which was tested Monte Carlo simulation. One of the basic assumptions of the Black-Scholes model is that the value of option is influenced by several factors. The sensitivity of option’s value could be carried out with so-called “Greeks”.. In the study the sensitivity analysis, was carried out with indicators Delta (Δ), Gamma (Γ) and Vega (ν). The real options based risk management determinations were performed in the R-statistics software system, and the used modules are 'fPortofio' and 'mc2d'. By using of real options method, I have calculated the average value of company capital equal with 38.79 million. By using simulation was carried out 1000 runs. The results of this show a relatively low standard deviation, small interquartile range and normal distribution. In the calculation of indicator Delta, could be concluded the value of company moves in 0.831 proportion to the price of options, the standard deviations of index is low, so the real option based method could be used with success in company’s value estimation. The Gamma index shows the enterprise value is sensitive just for large changes. The result of Vega reflects the value of option, so the company’s value volatility, which is small in this case, but this means a volatility of value. In summary, we can conclude that the call options pricing model, well suited for the determination of company’s value.


2013 ◽  
Vol 734-737 ◽  
pp. 1617-1620
Author(s):  
Wei Jin

Developing the waterway infrastructure construction can improve the efficiency of energy utilization, reduce the energy consumption intensity and carbon dioxide emissions. Till the year 2020, China plan to complete 19,000 kilometers high grade channel. Construction of water infrastructure construction requires a large capital investment. However, the main financial source of funding the construction of transportation infrastructure at present in China is special financial allocation of the government. The unitary financing structure as well as the funding pressure has leaded to some serious financing problems. This paper applied the real options theory to the waterway infrastructure construction financing, analyzed the limitations of the NPV method and the advantages of real option method in investment decision of waterway infrastructure construction, and took an example to show its feasibility.


2020 ◽  
Vol 8 (10) ◽  
pp. 811
Author(s):  
Eunice O. Olaniyi ◽  
Gunnar Prause

This study considers incentive provisions for investment decisions related to waste heat recovery system (WHRS) installations on ships to reduce CO2 emissions and improve ships’ engine efficiency. The economic assessment of WHRS installations in the shipping sector is not widely covered in the literature. A reason for this might be that the conventional financial evaluation of sensitive choices is commonly done through capital budgeting methods, which are not flexible enough to integrate future changes in fuel prices and long-term aspects of other costs. Thus, this work evaluates the WHRS investment using the classical budgeting instruments as well as the real-options approach (a more sophisticated approach) to accommodate the presumed expected future changes in the volatile maritime markets. Following the methodology of triangulation, three case studies of ships with varying operational conditions empirically validate the result to depict the practical use of the real-options evaluation method in investment assessment. The capital budgeting analysis reveals that the investment in maritime WHRS technology is only economically favorable under certain frame conditions projected in the work that shows a more realistic assessment of the project.


Author(s):  
Miguel Jiménez-Gomez ◽  
Natalia Acevedo-Prins

<p>The objective of this study is to assess tax incentives in Colombia to foster investment in wind parks. Fiscal incentives seek to diversify energy consumption with non-conventional renewable energy sources, since power is mostly generated by hydraulic force and since its price is impacted during dry seasons. The price of energy is modeled according to a regression toward the mean. This stochastic process was chosen because during droughts in Colombia there are price increases, which then return to their average value. This is an upward and downward spike behavior, as well as a regression toward the mean. Given price uncertainty and its impact on cashflow, wind parks were valued with real options to flatten the reversal for five years. The real option of flattening as an American call option was considered. Results show that, according to traditional valuation methods, wind parks in Colombia are not profitable even with tax incentives. However, according to the real options method, tax incentives do make these projects economically viable.</p>


Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4181
Author(s):  
Antonio Di Bari

Solar energy investment represents currently a valid reason to support sustainable economic development. In fact, over the last few years, governments have applied different measures to incentivize private consumers and firms to use renewable energies. Photovoltaic (PV) projects are characterized by uncertainty due to meteorological conditions, the unpredictable behavior of government, and managerial flexibility. Since the Net Present Value (NPV) approach is not able to capture these uncertain factors, it was replaced with the Real Options Approach (ROA). The latter method manages to embed flexibility in PV investment using binomial trees. This paper valuates PV investment in all regional areas in Italy using an integrated approach between the discounted cash flows method and real option value, called Expanded Net Present Value (ENPV). We fit the probability of tax benefits into a binomial lattice model after analyzing the geographical position and weather conditions of all regional capitals of Italy. The results show that the cities with high irradiance/temperature have positive NPV and high investment values. On the other hand, while most cities have negative NPV, the inclusion of the flexibility in investment decisions gives additional value to the project, making the ENPV positive and implying an attractive investment opportunity with the possibility of delaying the project. We also propose a sensitivity analysis that shows how the real option value changes when incentive policies of the government become more attractive. This paper contributes to the existing literature in the way of considering financial, meteorological/geographical, and political factors to valuate PV investment.


Author(s):  
Mark Jeffery ◽  
Chris Rzymski ◽  
Sandeep Shah ◽  
Robert J. Sweeney

Technology projects are inherently risky; research shows that large IT projects succeed as originally planned only 28 percent of the time. Building flexibility, or real options, into a project can help manage this risk. Furthermore, the management flexibility of options has value, as the downside risk is reduced and the upside is increased. The case is based upon real options analysis for an enterprise data warehouse (EDW) and analytic customer relationship management (CRM) program at a major U.S. firm. The firm has been disguised as Global Airlines for confidentiality reasons. The data mart consolidation or EDW marginally meets the hurdle rate for the firm as analyzed using a traditional net present value (NPV) analysis. However, different tactical deployment strategies help mitigate the risk of the project by building options into the project, and the traditional NPV is expanded by the real option value. Students analyze the different deployment strategies using a binomial model compound option Excel macro, and calculate the volatility using Monte Carlo analysis in Excel. A step-by-step tutorial is provided to teach students how to accomplish the real options analysis for a simplified project, and this tutorial is easily generalized by students to the case scenario. In addition to the tactical options, the case also has the strategic growth option of analytic CRM. Students must therefore analyze both the tactical and strategic growth options and make a management recommendation on funding the project and also recommend an optimal deployment strategy to manage the project risk.The case teaches real options for technology projects. Students learn how to calculate real option values, where the key input of volatility is obtained by Monte Carlo analysis in Excel. Students also learn that the real option value is “real,” resulting from active management mitigating the risk of the project and improving the upside. Most important, students understand the difference between tactical vs. strategic growth options and the important management issues to consider.


2014 ◽  
Vol 926-930 ◽  
pp. 4073-4076 ◽  
Author(s):  
Yong Gang Xue ◽  
Ming Li Zhang

The methodology is proposed to value a project based on real options model firstly. Then the BOPM is used to value a project and the empirical results are compared with the results which are based on NPV approach. The results favor the application of the real option theory and show that the option value have important role on investment decision. The results show that the real option approach is more rational than the traditional NPV approach in valuing project because the uncertainty is considered in real option approach. The uncertainty with respect to project return has a substantial effect on investment decision, which is only explained by the option theory.


2017 ◽  
Vol 43 (8) ◽  
pp. 2588-2608 ◽  
Author(s):  
Michael J. Leiblein ◽  
John S. Chen ◽  
Hart E. Posen

This paper develops a realistic real option theory of resource allocation decisions in strategic factor markets. Competitive advantage in factor markets is underpinned by market failures that allow firms to acquire assets at less than their value in use. We recognize that market failure may result from uncertainty regarding the current and/or future value of an asset, which map, respectively, to uncertainty as modeled in the feedback learning and real options literatures. The realistic real option framework we develop grafts insights from the strategic factor market, feedback learning, and real option valuation literatures. We argue that competitive advantage may emerge not only from luck, or ex ante differences in information or complementary assets, but also because firms differ in a specific type of learning ability—the ability to integrate new information to exercise a contingent claim on an asset in a factor market. We dimensionalize these differences in terms of information processing and belief updating, argue that these differences lead to different resource allocation decisions, and suggest how these decisions may generate competitive advantage.


2021 ◽  
Vol 8 (2) ◽  
pp. 43-76
Author(s):  
A. Gulabyan

The goal of this paper is to analyse and systematise the possible approaches to real options valuation, especially when considering the practical aspects of their application in real-life valuation problems. Therefore, the paper sets the following tasks: To outline the concept of fair value and analyse the traditional approaches to its calculation in the context of asset valuation To define the real-option approach to fair value estimation and analyse its theoretical background To determine the role of the real options approach in the traditional system of valuation techniques To analyse the practical aspects of their application in valuation problems considering the corresponding examples To provide the real-life example of this technique applied in current market conditions using the recent data. The object of this research is the option pricing models, and the subject is their application in estimation of real options embedded in corporate valuations, particularly considering the side.


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