Arbeitspapier
Multivariate Estimation of Exponential Affine Models of the Term Structure of Interest Rates
In this paper I consider the estimation of multi-factor exponential affine models of the term structure of interest rates. I start with a survey of the empirical work on the term structure in continuous time, showing that in most cases the implementation of the models has not fully exploited the theoretical restrictions. I also show that these works have almost always focused on "generalizations" of the theoretical model based on the inclusion of measurement errors in bills and bonds prices. I then suggest two approaches to statistical inference: the first is based on the Kalman filter, while the second follows the indirect inference approach. I also briefly discuss the relative properties of the two estimators, and I conclude with a small Monte Carlo experiment for a one-factor Cox-Ingersoll-Ross model, whose results are rather encouraging.
- Language
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                Englisch
 
- Bibliographic citation
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                Series: Quaderni - Working Paper DSE ; No. 238
 
- Classification
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                Wirtschaft
 
- Event
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                Geistige Schöpfung
 
- (who)
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                Pastorello, Sergio
 
- Event
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                Veröffentlichung
 
- (who)
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                Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
 
- (where)
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                Bologna
 
- (when)
- 
                1995
 
- DOI
- 
                
                    
                        doi:10.6092/unibo/amsacta/5075
- Handle
- Last update
- 
                
                    
                        10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Pastorello, Sergio
- Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
Time of origin
- 1995
 
             
        
    