scholarly journals Valuating hydrocarbon pipeline facility service beyond 20–25 year economic life: Accounting for residual value

2021 ◽  
Vol 40 (2) ◽  
pp. 222-228
Author(s):  
C.E. Alaneme ◽  
S.N. Al-Lajam ◽  
A.A. Al-Jaafari ◽  
S.B. Al-Otaibi

The 20–25 years economic life for hydrocarbon pipelines in the investment decision model is at wide variance with historical statistical records of more than 90-percent world-wide. Opinions diverge, from service type to the product quality, and materials resilience as basis for this premise. While, financial experts consider time to fully depreciate a capital investment, irrespective of the rate of returns, engineers consider operational availability and reliability duration. The risk is that actual residue values of pipelines worldwide are erroneously omitted in every project’s economics Cash-flow computation, thus eroding the investment decision quality. Statistics showed that more than 60-percent of pipelines worldwide have already exceeded the 25 years economic life, while more than 40-percent have operated more than 30-years and above. This theoretical appraisal identified a gap in the economic model in handling multi-criteria risk management uncertainties like hedging, weighting, etc., and highlighted the exigency to craft and assign numeric residue values for pipelines in the investment Cash-flow models.

Author(s):  
Kenneth M. Eades ◽  
Lucas Doe

This case asks the student to decide whether Aurora Textile Company can create value by upgrading its spinning machine to produce higher-quality yarn that sells for a higher margin. Cost information allows the student to produce cash-flow projections for both the existing spinning machine and the new machine. The cash flows have many different cost components, including depreciation, the number of days of cotton inventory, and the liability costs associated with returns from retailers. The cost of capital is specified in order to simplify the analysis. The analysis has added complexity, however, owing to the troubled financial condition of both the company and the U.S. textile industry, which is in decline as manufacturers migrate to Asia to benefit from lower manufacturing costs. This begs the question whether management should invest in a declining business or harvest the company by paying out all profits as a dividend to the owners. The case is suitable for students just beginning to learn finance principles, but is also rich enough to use with experienced students and executives. The primary learning points are as follows: The basics of incremental-cash-flow analysis: identifying the cash flows relevant to a capital-investment decision The construction of a side-by-side discounted-cash-flow analysis for a replacement decision How to adapt the NPV decision rule to a troubled or dying industry The effect of financial distress on the NPV calculation The importance of sensitivity analysis to a capital-investment decision


1981 ◽  
Vol 8 (2) ◽  
pp. 37-50 ◽  
Author(s):  
J. R. Edwards ◽  
Alison Warman

In 1889 the Shelton Iron, Steel and Coal Company Limited was incorporated to take over the assets and business activities of two existing companies. To guide the contracting parties in negotiating a price to be paid for the properties belonging to the Shelton Collieries and Ironworks an independent valuation was arranged by Deloitte, Dever, Griffiths & Co., later appointed auditors of the new company. The article comprises an appraisal of the valuation exercise, which is an early example of the use of a discounted cash flow technique to provide relevant information for a capital investment decision.


2019 ◽  
Vol 34 (3) ◽  
pp. 1-29
Author(s):  
John L. Abernathy ◽  
Brooke Beyer ◽  
Jimmy F. Downes ◽  
Eric T. Rapley

ABSTRACT We examine the effect of high-quality information technology (IT) on management's capital investment decisions. Evaluating capital investment decisions with contemporary investment efficiency and long-term measures of investment effectiveness, we document a positive relation between high-quality IT and capital investment decision quality. In particular, we find high-quality IT is associated with more optimal levels of investment as well as fewer future fixed asset write-downs. We also disaggregate investment efficiency and find the relation with IT quality holds for investment decisions related to capital expenditures and acquisitions, but not research and development expenditures. Overall, our results suggest managers equipped with better internal information from higher-quality IT are able to make superior capital investment decisions. Our study contributes to the literature by providing evidence of a significant determinant of capital investment decision quality and documenting a specific mechanism that mediates the indirect effect of IT quality on future performance. JEL Classifications: D83; E22; G31; M15; M41. Data Availability: We thank InformationWeek for providing annual rankings that were previously published. All other data are publicly available from regulatory filings; we obtained data from the Compustat, Execucomp, and I/B/E/S databases.


Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1106
Author(s):  
Jaewon Jung

Though the importance of organizational behavior and human decision processes within firms for the firm performance has largely been recognized in the business and management literature, much less attention has been devoted to studying such implications in the international trade context. This paper develops a general-equilibrium trade model in which heterogeneous workers make an investment decision in acquiring advanced managerial skills and choose their optimal effort level based on their comparative advantage. In doing so, we show how globalization-induced human capital accumulation within firms leads to sustainable economic growth. We also show that workers’ organizational belief and CEO’s managerial vision may be an important element for the human capital formation within firms and for the performance of firms in a global economy.


2010 ◽  
Vol 39 ◽  
pp. 568-574
Author(s):  
Jun Fei Chen ◽  
Jian Qiao Lin

As a new economical development mode, “low-carbon economic” is attracting more and more attention all over the world. In this paper, associating with the development background of the low-carbon industry, we applied the uncertainty set pair analysis (SPA) into the investment decision-making of the listed company, and established the investment decision model based on the uncertainty SPA. As a case, we made investment decision analysis to 12 typical low-carbon industrial listed companies selected. The results show that it is effective and applicable, and the research is helpful for the investors conducting decision-making.


2013 ◽  
Vol 19 (5) ◽  
pp. 759-711 ◽  
Author(s):  
Andrew Ross ◽  
Katie Dalton ◽  
Begum Sertyesilisik

This study aims to determine the accuracy of the cash flow models and to investigate if these models could be more accurate if they accounted for the potentially influential variables specific to individual construction projects. An analytical case study research strategy has been implemented in collecting data for the construction projects. The data collected has been tested against recognised models. Statistical analyses have been carried out on the data for the specified variables, culminating in the potential proposal of an improved model with respect to these identified variables. The results revealed that the independent variables (type of construction, procurement route and type of work) affect the cash flow forecast. The findings suggested that a model could be more accurate with the input of more job-specific variables and that Hudson's DHSS model is best suited to a construction project procured traditionally. Adopting the ‘trial and error’ approach, Hudson's DHSS model has been recognised as an accurate model that could be adapted slightly, through changing the parameter values. The clients and the contractors are the main beneficiaries approached for this study.


Author(s):  
Siti Aisyah Tri Rahayu

The purpose of this study are: First, to analyze is there any significant influence among debt ratio, internal capital, cash flow, inflation expectations and the expectations of rupiah exchange rate against the decisions of businessmen in the real sector to invest or not to invest; Second, to analyze the impact of the variables perception mortgage interest rates, perceptions of bank regulation, internal capital and cash flow on debt ratio of the real sector (leverage). Investment decision model is estimated using logit models. The results of regression estimates the overall good for business and risk analysis for financial risk shows that almost all explanatory variables in the equation are statistically significant. There are three variables have a positive influence on the investment decisions taken by the businesses i.e. the debt ratio, cash flow and exchange rate expectations.


2018 ◽  
Vol 7 (4.33) ◽  
pp. 71
Author(s):  
Siti Salihah Shaffie ◽  
Saiful Hafizah Jaaman ◽  
Daud Mohamad

Highway developments are the backbone for the society and economic growth. It is part of the capital investment in infrastructure developments that require high spending, long term commitment and prognosticated with numbers of risks. This is because the investment is associated with uncertainty and vagueness due to long term duration of construction and operation of the project. Hence, the valuation of the investment requires accommodated model to present more accurate estimation of the project. This study proposed to evaluate fuzzy present value of a highway project with anticipated risk assessment in its valuation using fuzzy present value. The risk assessment is part of the estimation of fuzzy cash flow to represent better present value of the project. The results show an estimated value comprise with risk assessment of macroeconomic factor to portray better estimation that can assist decision maker to make decision towards the project.   


Sign in / Sign up

Export Citation Format

Share Document