Profit Forecast Model Using Monte Carlo Simulation in Excel

Profit forecast is very important for any company. The purpose of this study is to provide a method to estimate the profit and the probability of obtaining the expected profit. Monte Carlo methods are stochastic techniques–meaning they are based on the use of random numbers and probability statistic...

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Main Authors: Petru BALOGH, Pompiliu GOLEA, Valentin INCEU
Format: Article
Language:English
Published: Romanian National Institute of Statistics 2014-01-01
Series:Revista Română de Statistică
Subjects:
Online Access:http://www.revistadestatistica.ro/wp-content/uploads/2014/04/RRS_12_2013_A3_en.pdf
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author Petru BALOGH
Pompiliu GOLEA
Valentin INCEU
author_facet Petru BALOGH
Pompiliu GOLEA
Valentin INCEU
author_sort Petru BALOGH
collection DOAJ
description Profit forecast is very important for any company. The purpose of this study is to provide a method to estimate the profit and the probability of obtaining the expected profit. Monte Carlo methods are stochastic techniques–meaning they are based on the use of random numbers and probability statistics to investigate problems. Monte Carlo simulation furnishes the decision-maker with a range of possible outcomes and the probabilities they will occur for any choice of action. Our example of Monte Carlo simulation in Excel will be a simplified profit forecast model. Each step of the analysis will be described in detail. The input data for the case presented: the number of leads per month, the percentage of leads that result in sales, , the cost of a single lead, the profit per sale and fixed cost, allow obtaining profit and associated probabilities of achieving.
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spelling doaj.art-7413c5e738d44671b15d5b2fd25e32782022-12-22T01:24:07ZengRomanian National Institute of StatisticsRevista Română de Statistică1018-046X1844-76942014-01-0161123340Profit Forecast Model Using Monte Carlo Simulation in ExcelPetru BALOGH0Pompiliu GOLEA1Valentin INCEU 2„Dimitrie Cantemir” Christian University„Dimitrie Cantemir” Christian University„Dimitrie Cantemir” Christian UniversityProfit forecast is very important for any company. The purpose of this study is to provide a method to estimate the profit and the probability of obtaining the expected profit. Monte Carlo methods are stochastic techniques–meaning they are based on the use of random numbers and probability statistics to investigate problems. Monte Carlo simulation furnishes the decision-maker with a range of possible outcomes and the probabilities they will occur for any choice of action. Our example of Monte Carlo simulation in Excel will be a simplified profit forecast model. Each step of the analysis will be described in detail. The input data for the case presented: the number of leads per month, the percentage of leads that result in sales, , the cost of a single lead, the profit per sale and fixed cost, allow obtaining profit and associated probabilities of achieving.http://www.revistadestatistica.ro/wp-content/uploads/2014/04/RRS_12_2013_A3_en.pdfMonte Carlo simulationProbabilitiesProfit forecast
spellingShingle Petru BALOGH
Pompiliu GOLEA
Valentin INCEU
Profit Forecast Model Using Monte Carlo Simulation in Excel
Revista Română de Statistică
Monte Carlo simulation
Probabilities
Profit forecast
title Profit Forecast Model Using Monte Carlo Simulation in Excel
title_full Profit Forecast Model Using Monte Carlo Simulation in Excel
title_fullStr Profit Forecast Model Using Monte Carlo Simulation in Excel
title_full_unstemmed Profit Forecast Model Using Monte Carlo Simulation in Excel
title_short Profit Forecast Model Using Monte Carlo Simulation in Excel
title_sort profit forecast model using monte carlo simulation in excel
topic Monte Carlo simulation
Probabilities
Profit forecast
url http://www.revistadestatistica.ro/wp-content/uploads/2014/04/RRS_12_2013_A3_en.pdf
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