EconPapers    
Economics at your fingertips  
 

Financial signal processing: a self calibrating model

Robert J. Elliott, William C. Hunter and Barbara M. Jamieson

No WP-00-21, Working Paper Series from Federal Reserve Bank of Chicago

Abstract: Previous work on multifactor term structure models has proposed that the short rate process is a function of some unobserved diffusion process. We consider a model in which the short rate process is a function of a Markov chain which represents the 'state of the world'. This enables us to obtain explicit expressions for the prices of zero-coupon bonds and other securities. Discretizing our model allows the use of signal processing techniques from Hidden Markov Models. This means we can estimate not only the unobserved Markov chain but also the parameters of the model, so the model is self-calibrating. The estimation procedure is tested on a selection of U.S. Treasury bills and bonds.

Keywords: Bonds (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.chicagofed.org/digital_assets/publicati ... s/2000/wp2000_21.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fip:fedhwp:wp-00-21

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Working Paper Series from Federal Reserve Bank of Chicago Contact information at EDIRC.
Bibliographic data for series maintained by Lauren Wiese ().

 
Page updated 2025-04-17
Handle: RePEc:fip:fedhwp:wp-00-21