Name: Application of the apv in the Financial Evaluation of a Company in Inovar Auto: Checking the Economic Viability of Projects in the Automotive Industry in the Current Brazilian Industrial Context (en Inglés)
Price: 146802.00 COP
Availability: InStock
Author: Fernando Luz Dos Santos
ISBN: 9786208620844

portada Application of the apv in the Financial Evaluation of a Company in Inovar Auto: Checking the Economic Viability of Projects in the Automotive Industry in the Current Brazilian Industrial Context (en Inglés)

Application of the apv in the Financial Evaluation of a Company in Inovar Auto: Checking the Economic Viability of Projects in the Automotive Industry in the Current Brazilian Industrial Context (en Inglés)

Formato

Libro Físico

Editorial

Our Knowledge Publishing

Autor

Fernando Luz Dos Santos

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9786208620844

Application of the apv in the Financial Evaluation of a Company in Inovar Auto: Checking the Economic Viability of Projects in the Automotive Industry in the Current Brazilian Industrial Context (en Inglés)

Fernando Luz Dos Santos (Autor) · Our Knowledge Publishing · Tapa Blanda

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Reseña del libro "Application of the apv in the Financial Evaluation of a Company in Inovar Auto: Checking the Economic Viability of Projects in the Automotive Industry in the Current Brazilian Industrial Context (en Inglés)"

The automotive sector is important in Brazil's industrial landscape, as it involves a significant chain of suppliers, distributors, workshops, advertising agencies and insurers in the domestic market, as well as being one of the five largest in the world, generating jobs and bringing development to the country. In this context, this study uses the Adjusted Present Value (APV) method to analyse the cash flow of an automotive company that has recently set up in Brazil and wants to take advantage of the government incentives proposed by the Inovar-Auto programme. The work carried out evaluates the automaker's current cash flow in a stochastic way by modelling variables such as price, demand and interest rate using probability distributions and with the help of the Crystal Ball software, a Microsoft Excel add-in, generating different scenarios using Monte Carlo simulation.