CALIBRATING THE NELSON-SIEGEL MODEL CLASSES AND THEIR ESTIMATION USING HYBRID-GENETIC ALGORITHM APPROACH: CASE STUDY OF INDONESIAN GOVERNMENT BONDS

Muslim, Muslim and Rosadi, Dedi and Gunardi, Gunardi and Abdurakhman, Abdurakhman (2019) CALIBRATING THE NELSON-SIEGEL MODEL CLASSES AND THEIR ESTIMATION USING HYBRID-GENETIC ALGORITHM APPROACH: CASE STUDY OF INDONESIAN GOVERNMENT BONDS. Journal of Theoretical and Applied Information Technology, 97 (2). pp. 409-422. ISSN 1817-3195

	Text Makalah_CALIBRATING THE NELSON-SIEGEL MODEL CLASSES AND THEIR ESTIMATION USING HYBRID-GENETIC ALGORITHM APPROACH_ CASE STUDY OF INDONESIAN GOVERNMENT BONDS.pdf Download (445kB)
	Text Penilaian Peer Reviews_CALIBRATING THE NELSON-SIEGEL MODEL CLASSES AND THEIR ESTIMATION USING HYBRID-GENETIC ALGORITHM APPROACH_ CASE STUDY OF INDONESIAN GOVERNMENT BONDS.pdf Download (1MB)
	Text Turnitin_CALIBRATING THE NELSON-SIEGEL MODEL CLASSES AND THEIR ESTIMATION USING HYBRID-GENETIC ALGORITHM APPROACH_ CASE STUDY OF INDONESIAN GOVERNMENT BONDS.pdf Download (3MB)

Abstract

In this paper, we consider the problem of modelling the yield curve using Nelson-Siegel model classes. Nelson-Siegel model classes discussed here are NS model, BL model, NSS model, RF model, and our proposed NSSE models. NSSE model is a model which extends the standard NS model as Nelson-Siegel model class by adding some linear and non-linear parameters in which form the fourth hump of the model class. The purpose of adding the hump is to accommodate the possibility of having the following cases: the first, the condition when the short term and the medium term yields are higher than the long term yield. The second, the condition when the upper-value short term yields are higher than both the short term yields on average and the long term yields. The third, the case when the upper-value medium term yields are higher than both the medium term yields on average and the long term yields. These considered cases make the yield curve more likely to have minimum locals and therefore, the Nelson-Siegel model classes become more difficult to be estimated. To overcome this problem, in this paper we estimate the model using the hybrid-genetic algorithm approach and compare it with the standard estimation based on NLS method. We provide an empirical study using Indonesian Government-Bond Yield Curve (IGYC) data, and found that the best model for IGYC is 6-factors model.

Type:	Article
Subjects:	Q Science > QA Mathematics
Depositing User:	MUSLIM
Date Deposited:	25 Jun 2020 05:16
Last Modified:	25 Jun 2020 05:16
URI:	https://repository.unja.ac.id/id/eprint/12268

Actions (login required)

View Item