Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Government Bond Yield Volatility and It's Determinants: The Case of Indonesia Government Bond

Authors: Harjum Muharam;

Government Bond Yield Volatility and It's Determinants: The Case of Indonesia Government Bond

Abstract

This research is conducted from gaps of research findings regarding factors influencing government bond yield. The aim of this research is to develop a model of government bond yield determinants and to test hypothesis about the effect of inflation, foreign reserves, local interest rate, stock market return, exchange rate, foreign interest rate, world oil prices, real sector performance, and conditional variances on government bond yield. Time series process and multifactor models are employed. The model combines two approaches called Multifactor EGARCH-M Model. The population is Indonesian government bond, denominating in IDR and has a fixed coupon rate. The sample selected is five years tenor bond. The findings are: (1) Indonesia’s government bond yield has volatility clustering as measured by GARCH process; (2) based on adjusted R2, logL, Akaike Information Criterion (AIC) and Schwarz Criterion (SC), Multifactor EGARCH-M Model is the best model among six models developed; (3) as a proxy of market risk and default risk, GARCH-M has the biggest effect on its yield followed by non gold reserve; (4) the other variables having influences on government bond yields are: local interest rate, stock market return, exchange rate, foreign interest of rate, and world oil price. Inflation and real sector performance have no effect on government bond yields.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!