Game 16 Lombard Street - Cash flow case study and quiz

2018 ◽  
pp. 74-78
Keyword(s):  
Cash Flow ◽  
Flow Case

scholarly journals AN INVESTIGATION ON THE IMPROVEMENT OF CONSTRUCTION EXPENDITURE FORECASTING

2013 ◽  
Vol 19 (5) ◽  
pp. 759-711 ◽  
Author(s):  
Andrew Ross ◽  
Katie Dalton ◽  
Begum Sertyesilisik
Keyword(s):  
Cash Flow ◽  
Construction Projects ◽  
Case Study Research ◽  
Research Strategy ◽  
Flow Models ◽  
Improved Model ◽  
Work Affect ◽  
Cash Flow Forecast ◽  
Parameter Values

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.

scholarly journals ANALISIS KINERJA DAN STRATEGI PENGEMBANGAN USAHA PADA ROSE FLORIST DI BANDAR LAMPUNG

2021 ◽  
Vol 9 (3) ◽  
pp. 381
Author(s):  
Wenni Mey Kardepa Sembiring ◽  
Wuryaningsih Dwi Sayekti ◽  
Dame Trully Gultom
Keyword(s):  
Data Analysis ◽  
Development Strategy ◽  
Cash Flow ◽  
Business Development ◽  
Business Owner ◽  
Case Study Method ◽  
Industry Performance ◽  
The Rose ◽  
Second Period

This study aims to analyze the existing performance of the Rose Florist agro-industry and formulate the business development strategy. This research uses a case study method with three respondents consisting of business owner, an employee of the business, and an UMKM officer. Data collection was carried out in April-May 2020. Data analysis uses cash flow and SWOT. The results showed that the Rose Florist Agroindustry has a good financial performance. There was an increase in cash of 9,538,729.17 from the cash flow statement, from the first period of IDR 153,249,128.57 to the second period of IDR 162,787,857.74. The development strategies that can be used in the development of the Rose Florist Agroindustry are to make quality flower arrangements, to add business signposts in business locations, and to train the workers on good management and better skills. Keywords: agro-industry, performance, Rose Florist, strategy

Measuring Wildfire Impacts: Method and Case Study

1987 ◽  
Vol 11 (3) ◽  
pp. 143-147
Author(s):  
W. L. Mills ◽  
S. D. Shnitzler ◽  
R. S. Meldahl
Keyword(s):  
Economic Impact ◽  
Cash Flow ◽  
Flow Model ◽  
Growth And Yield ◽  
Timber Production ◽  
Discounted Cash Flow ◽  
The Impact ◽  
Data Requirements

Abstract A discounted cash flow model called the Impact Appraisal Model (IAM) computes the economic impact due to a change in timber production caused by a wildfire. Data requirements for the IAM can be obtained using standard inventory procedures to estimate the pre- and post-fire stand conditionsneeded to initiate a growth and yield simulator. The model is demonstrated using five loblolly plantations that burned in 1980 and 1981. South. J. Appl. For. 11(3):143-147.

Methodologies and Techniques for Determining the Value of an Aircraft

2020 ◽  
pp. 036119812095841
Author(s):  
Bijan Vasigh ◽  
Farshid Azadian ◽  
Kamran Moghaddam
Keyword(s):  
Cash Flow ◽  
Flow Analysis ◽  
Operating Costs ◽  
Asset Valuation ◽  
Discounted Cash Flow ◽  
Valuation Model ◽  
Exogenous Factors ◽  
New Generation ◽  
Operating Revenue

Aircraft valuation and the estimation of an accurate aircraft price is undoubtedly a challenging task that has significant consequences for airlines. This paper presents an asset valuation model to show how a series of endogenous as well as exogenous factors can influence the value of an aircraft. Specifically, a discounted cash flow methodology is used to forecast the valuation of an old or new generation aircraft. Both total operating revenue and aircraft operating costs are taken into account to devise a reliable pre-tax profit measurement that is used as the basis of the discounted cash flow analysis. A sensitivity analysis based on Monte Carlo simulation is utilized to identify which factors have a more significant influence on the suggested aircraft value. Therefore, it addresses how value fluctuates in response to economic fluctuations. Indeed, the calculated value of an aircraft highly depends on the underlying assumptions used. The calculated value is compared with available data in a case study for verification.

scholarly journals CASH FLOW FORECASTING WITH RISK CONSIDERATION USING BAYESIAN BELIEF NETWORKS (BBNS)

2017 ◽  
Vol 23 (8) ◽  
pp. 1045-1059 ◽  
Author(s):  
Mostafa KHANZADI ◽  
Ehsan ESHTEHARDIAN ◽  
Mahdiyar MOKHLESPOUR ESFAHANI
Keyword(s):  
Risk Factors ◽  
Cash Flow ◽  
Construction Projects ◽  
Bayesian Belief Networks ◽  
Influence Diagrams ◽  
Belief Networks ◽  
Cash Flow Management ◽  
Construction Companies ◽  
Cash Flow Forecasting

Cash-flow management is very important for contractors given that inadequate cash resources typically are the main causes for bankruptcy of construction companies. In comparison to most other industries, the construction industry is severely plagued by risk, and the success of construction projects usually depends on valuating all risks. However, conventional methods suggested by extant research on cash flow forecasting do not consider comprehensive identifica­tion of risk factors, interactions between the factors, and simultaneous occurrences of the factors. This study introduced a simple and appropriate probabilistic cash flow forecasting model using Bayesian Belief Networks (BBNs) to avoid bankruptcy of contractors by considering influence diagrams and risk factors that affect a project. Workability and reli­ability of the proposed approach was tested on an important building construction project in Iran as a real case study, and the results indicated that the model performed well.

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