Economics at your fingertips  

Modifying Hybrid Optimisation Algorithms to Construct Spot Term Structure of Interest Rates and Proposing a Standardised Assessment

Aryo Sasongko (), Cynthia Afriani Utama (), Buddi Wibowo () and Zaäfri Ananto Husodo ()
Additional contact information
Aryo Sasongko: Bank Indonesia
Cynthia Afriani Utama: Universitas Indonesia
Buddi Wibowo: Universitas Indonesia
Zaäfri Ananto Husodo: Universitas Indonesia

Computational Economics, 2019, vol. 54, issue 3, No 6, 957-1003

Abstract: Abstract Spot term structure is rarely available as its methodological procedures are complicated and therefore market participants substitute it with traditional term structure as an approximation. This paper proposes two hybrid optimisation algorithms consisting of traditional algorithms to reduce complex procedures. Estimated by any algorithm, curve model parameters are always prone to overshooting risks. We modify the algorithms to overcome the risks and use the algorithms to estimate on-the-run government bond data of Indonesian domestics, Yankees as well as the US Treasuries from 17th April 2013 to 29th October 2013. To confirm the validity of term structure measurement, we propose to standardize three Bolder and Stréliski criteria as there is no agreement for performance criteria. We modify goodness of fit and robustness indicators of the criteria to do reliable assessments. We have implemented the modified Bolder and Stréliski criteria to compare the performances of the algorithms and to distinguish liquid market data, the US Treasuries, from less liquid markets, Indonesian government bonds.

Keywords: Hybrid optimisation algorithms; Modified Bolder and Stréliski performance indicators; Monte Carlo method; Nelson Siegel extensions; Newton method; Term structure of interest rates (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-018-9848-z

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2020-04-23
Handle: RePEc:kap:compec:v:54:y:2019:i:3:d:10.1007_s10614-018-9848-z