Interest-Rate Risk and the Term Structure of Interest Rates

1965 ◽  
Vol 73 (4) ◽  
pp. 344-351 ◽  
Author(s):  
James Van Horne
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Term Structure ◽  
Interest Rate Risk ◽  
Rate Risk

scholarly journals Measuring Interest Rate Risk with Embedded Option Using HPL-MC Method in Fuzzy and Stochastic Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Enlin Tang ◽  
Wei Du
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Term Structure ◽  
Interest Rate Risk ◽  
Extended Model ◽  
Term Structure Model ◽  
Continuous Innovation ◽  
Liability Management ◽  
Rate Risk ◽  
Embedded Options

Under the condition of continuous innovation of financial derivatives and marketization of interest rate, interest rates fluctuate more frequently and fiercely, and the measurement of interest rate risk also attracts more attention. Under the premise that the fluctuation of interest rate follows fuzzy stochastic process, based on the option characteristics of financial instruments with embedded option, this paper takes effective duration and effective convexity as tools to measure interest rate risk when embedded options exist, tries to choose CIR extended model as term structure model, and uses the Monte Carlo method for hybrid low deviation sequences (HPL-MC) to analyze the prepayment characteristics of MBS, a representative financial instrument with embedded options, when interest rates fluctuate; on this basis, the effectiveness of effective duration management of interest rate risk is demonstrated with asset liability management cases of commercial banks.

Convexity Analysis of Option Embedded Bonds

2004 ◽  
Vol 12 (1) ◽  
pp. 23-49
Author(s):  
Seung Hyeon O
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Term Structure ◽  
Factor Model ◽  
Real Term ◽  
Interest Rate Risk ◽  
Vector Model ◽  
Convexity Property ◽  
Rate Risk ◽  
Bond Portfolio

Interest rate risk hedge strategies usually assume that term structure of interest rates in moving under a specific way. If a real term structure is moving differently from the assumed term structure movement, the interest rate risk hedge strategies assuming the special term structure movement may incur unexpected large loss for a bond portfolio manager. Hence an interest rate risk hedge strategy which could be effective under various types of term structure movements has been strongly needed by bond portfolio managers. Duration vector strategies have been developed to satisfy this practical need. To allow various types of term structure movements, duration vector strategies assume multi-factor models for the term structure movement. When a duration vector strategy is considered as a generalization of a duration strategy which is a single factor model for the term structure movement, there will be a generalized concept which measures convexity of a bond under the duration vector model. This study identifies the convexity property of an option embedded bond portfolio under ‘key rate duration model‘ which is a kind of duration vector model suggested by Ho (1992).

scholarly journals Who Bears Interest Rate Risk?

2018 ◽  
Vol 32 (8) ◽  
pp. 2921-2954 ◽  
Author(s):  
Peter Hoffmann ◽  
Sam Langfield ◽  
Federico Pierobon ◽  
Guillaume Vuillemey
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Banking Sector ◽  
Balance Sheet ◽  
Interest Rate Risk ◽  
Cross Sectional ◽  
Net Worth ◽  
Loan Rate ◽  
Rate Risk ◽  
European Banking

Abstract We study the allocation of interest rate risk within the European banking sector using novel data. Banks’ exposure to interest rate risk is small on aggregate, but heterogeneous in the cross-section. Contrary to conventional wisdom, net worth is increasing in interest rates for approximately half of the institutions in our sample. Cross-sectional variation in banks’ exposures is driven by cross-country differences in loan-rate fixation conventions for mortgages. Banks use derivatives to partially hedge on-balance-sheet exposures. Residual exposures imply that changes in interest rates have redistributive effects within the banking sector. Received October 31, 2017; editorial decision August 30, 2018 by Editor Philip Strahan. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

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