Evaluating the Interest-Rate Risk of Adjustable-Rate Mortgage Loans

1997 ◽  
Vol 13 (1) ◽  
pp. 77-94 ◽  
Author(s):  
Raymond Finance ◽  
Thomas Gosnell ◽  
Andrea Heuson
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Enlin Tang

In recent years, with the rapid increase of the business volume of housing mortgage loans of commercial banks, the risk of prepayment is increasingly exposed. Prepayment will have a great impact on the duration and convexity of housing mortgage loans of commercial banks and then bring difficulties to the asset liability management of banks. Therefore, empirical research on the changes of duration and convexity of housing mortgage loans caused by prepayment when the market interest rate changes is of great significance for commercial banks to manage interest rate risk exposure. Based on the analysis of the option characteristics of prepayable housing mortgage loan, the CIR model with GARCH(1, 1) is selected to describe the interest rate change path, and the computer simulation method is used to calculate OAS and then calculate the effective duration and effective convexity of housing mortgage loan under different prepayment rates, so as to understand the interest rate risk of housing mortgage loan in the presence of embedded option.


2019 ◽  
Vol 12 (3) ◽  
pp. 329-344
Author(s):  
Salvador Cruz Rambaud ◽  
María de los Ángeles Del Pino Álvarez

Purpose The purpose of this paper is the analysis of the mortgage prices derived from the increase of defaults and the withdrawal of floor clauses in the mortgages offered by banking institutions in Spain. More specifically, this manuscript focuses on the evolution of the spread applied to mortgages contracted with a variable interest rate. Design/methodology/approach Two models have been considered to make a proper estimation of the yield curve to assess the loss due to the withdrawal of the floor clauses and quantify the component of the price used to cover the interest rate risk. Two different scenarios have been considered to avoid an underestimation of the aforementioned valuation. Findings The authors have shown that the increase in the percentage of doubtful mortgages has led to an increase in the spread of adjustable-rate mortgages. Moreover, the authors have shown that around 40 per cent of spreads are used to cover the interest rate risk. Originality/value The main contribution of this manuscript is the quantification of the loss expected by lenders and its impact in the spread. Due to this fact, the loan spread can be disaggregated into a component dependent on the credit risk associated with the borrower, and another component dependent on the interest rate risk to which the lender is exposed.


1998 ◽  
Vol 1 (1) ◽  
pp. 64-80
Author(s):  
Jia He ◽  
◽  
Ming Liu ◽  

A study on the prepayment behavior of Hong Kong mortgage loans is conducted. With all of the loans as adjustable-rate mortgages (ARMs), we find that 1) Prepayment speeds up and then slows down as the mortgage seasons; 2) Prepayment speeds up as the rate markup decreases; 3) Prepayment speeds up as the interest rate increases; 4) Prepayment speeds up when the profitability ratio of the banks ( the prime-HIBOR spread) is higher; 5) Prepayment speeds up as the price of the property market falls; 6) Prepayment speed is faster for loans with a lower loan-to-value ratio; 7) Prepayment exhibits a seasonal pattern: people tend to prepay in the summer.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Anjiao Wang ◽  
Zhongxing Ye

We study the pricing of total return swap (TRS) under the contagion models with counterparty risk and the interest rate risk. We assume that interest rate follows Heath-Jarrow-Morton (HJM) forward interest rate model and obtain the Libor market interest rate. The cases where default is related to the interest rate and independent of interest rate are considered. Using the methods of change of measure and the “total hazard construction,” the joint default probabilities are obtained. Furthermore, we obtain the closed-form formulas of TRS under different contagion models, respectively.


2009 ◽  
Vol 15 (5) ◽  
pp. 1001-1018 ◽  
Author(s):  
Oliver Entrop ◽  
Marco Wilkens ◽  
Alexander Zeisler

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