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Master's Dissertation
DOI
https://doi.org/10.11606/D.92.2003.tde-22022022-094841
Document
Author
Full name
André Trindade Secron
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2003
Supervisor
Committee
Schirmer, Pedro Paulo Serpa (President)
Faria, Edson de
Prado, Renata Grunberg Almeida
Title in Portuguese
Modelagem de risco de pré-pagamento para ativos de crédito imobiliário brasileiro
Keywords in Portuguese
Administração de risco
Crédito imobiliário
Finanças
Abstract in Portuguese
O mercado brasileiro é cheio de imperfeições, que não criam espaço para incentivos financeiros para os mutuários pagarem antecipadamente. Além disso, empréstimos de longo prazo não estão disponíveis no mercado, exceto para algumas originações de hipotecas. Estes são tratados com taxas subsidiadas administradas que provam manter as taxas de pré-pagamento baixas. No entanto, fluxos de caixa inesperados são observados no sistema financeiro e são impulsionados por alguns motivos, além dos financeiramente ótimos. Este trabalho visa estudar as razões por trás dos reembolsos antecipados e modernizá-los de alguma forma. Isso fornecerá um instrumento único para hedge e precificação desses instrumentos financeiros e, esperançosamente, se os mercados convergirem para spreads reduzidos e custos de transação mais baixos, este estudo será uma referência para modelagem futura de pré-pagamento
Title in English
Prepayment risk modeling for Brazilian real estate credit assets
Keywords in English
Finance
Real Estate Credit
Risk Management
Abstract in English
The Brazilian market is full of imperfections, which create no room for financial incentives for borrowers to prepay. Moreover, long term loans are unavailable in the market, except for some mortgage originations. These are dealt with administered subsided rates that prove to hold down prepayment rates. However, unexpected cash flows are observed in the financial system and are driven for some reasons, other than financially optimal ones. This paper aims into studying the reasons behind early repays and to modern them somehow. This will provide an unique instrument for hedging and pricing these financial instruments, and hopefully, if markets converge to reduced spreads and lower costs of transaction, this study will be a reference for future prepayment modeling
 
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Publishing Date
2022-02-22
 
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