Abstract
<span class="fontstyle0">Statistical data show that housing finance has been in wide demand as an option for the purchase of real estate and that the level of default and the number of properties auctioned have also increased significantly in recent years.. These data show that the decision to purchase the financed home is not always carried out in an organized way, impacting on high costs and the difficulty in meeting financial commitments made by the borrower. In this context, the objective of this research is to develop a simulation tool, using Monte Carlo simulation techniques, to help consumers make decisions regarding long-term financing in the acquisition of properties. A large number of simulations, using a real-case study, were carried out to verify the validity of the proposed model, allowing the evaluation the behavior of debt costs. The results obtained in this research indicate that the cost of debt can be reduced by more than 40% if the requester chooses to postpone the financing for a few years in order to obtain a greater financial amount to be given as input, reducing the outstanding balance and the financing period.</span><br /><br />
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Revista Principia - Divulgação Científica e Tecnológica do IFPB
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
