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Genetic algorithm estimation of interest rate term structure Author info | Abstract | Publisher info | Download info | Related research | Statistics Ricardo Gimeno () (Banco de España)
Juan M. Nave () (Universidad CEU Cardenal Herrera)
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The term structure of interest rates is an instrument that gives us the necessary information for valuing deterministic financial cash flows, measuring the economic market expectations and testing the effectiveness of monetary policy decisions. However, it is not directly observable and needs to be measured by smoothing data obtained from asset prices through statistical techniques. Adjusting parsimonious functional forms - as proposed by Nelson and Siegel (1987) and Svensson (1994) - is the most popular technique. This method is based on bond yields to maturity and the high degree of non linearity of the functions to be optimised make it very sensitive to the initial values employed. In this context, this paper proposes the use of genetic algorithms to find these values and reduce the risk of false convergence, showing that stable time series parameters are obtained without the need to impose any kind of restrictions.
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Paper provided by Banco de España in its series Banco de España Working Papers with number
0634.
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Length: 35 pages
Date of creation: Dec 2006Date of revision:
Handle: RePEc:bde:wpaper:0634Contact details of provider: Email: Web page: http://www.bde.es/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (María D. González. Electronic Dissemination of Information Unit. Research Department. Banco de España).
Keywords: forward and spot interest rates ; nelson and siegel model ; non-linear optimization ; numerical methods ; svensson model ; yield curve estimation ; Other versions of this item:
Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
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