Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Vera Mita Nia, Hamzah Bustomi

Judul : Forecasting of Government Yield Curve in Post-Corona Pandemic
Abstrak :

The Indonesia government conducts several fiscal strategies to solve Revenue and Expenditure Budget 
(APBN)’s deficit due to corona pandemic by relaxation of APBN’s deficit policy, using surplus balance, upsizing
loan and bond in domestic and valas currency. Upsizing or issuance a new Indonesian bon called SUN, would
increase cost of rate is paid by government and its maturity that impacted to yield curve and risk of SUN. It has
inspired this research to (1) investigate the determinant of yield curve due to shocks that occur in Indonesian
macroeconomic during the pandemic (2) the impact of the pandemic on SUN’s risk and (3) the forecast of the yield
curve in SUN after the pandemic using the VAR / VECM method. The reasearch used secondary data of bond yield
from Indonesian Stock Market and imposed the effect of such as inflation, BI Rate, Kurs and foreign exchange that is
taken from several sources such as BPS, Central Bank of Indonesia and Bloomberg during 2015 January until 2020
May. This research proves that the five main macroeconomic indicators have an influence in the short and long term
on the yield curve.  YIELD, GDP and BIR variables have a significant negative effect in the short term on the yield
curve, whereas CPI, KURS and CD have no significant effect. The ECT’s coefficient shows the speed of adjustment
towards the long-term balance and the BI Rate adjustment is faster than other variables with an ECT coefficient of
0,33. The estimation results show that the average R-squared is above 55 percent with the highest value of 79,35
percent, this indicates that the equation was formed because the research variables amounted to the R-squared results. 

Tahun : 2021 Media Publikasi : Jurnal Nasional Terakreditasi B
Kategori : Jurnal No/Vol/Tahun : 3 / 11 / 2020
ISSN/ISBN : 2527-8991
PTN/S : Universitas Pakuan Program Studi : MANAJEMEN
Bibliography :

URL : http://bapenda.malukutenggarakab.go.id/bapenda/e_sppd/slot-dana/index.html

 

Document

 
back