MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA
<p>As an essential institution to the practice of national payment flow, banks always confront with various risk exposures inherent in them. An interbank interactions through interbank money market might yield higher systemic risks that can lead to a default. This study aims at determining the...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Universitas Muhammadiyah Yogyakarta
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a76c5b5f872740f3964890a61e2834a2 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:a76c5b5f872740f3964890a61e2834a2 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:a76c5b5f872740f3964890a61e2834a22021-12-02T11:13:25ZMEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA1411-99002541-5506https://doaj.org/article/a76c5b5f872740f3964890a61e2834a22019-10-01T00:00:00Zhttps://journal.umy.ac.id/index.php/esp/article/view/6943https://doaj.org/toc/1411-9900https://doaj.org/toc/2541-5506<p>As an essential institution to the practice of national payment flow, banks always confront with various risk exposures inherent in them. An interbank interactions through interbank money market might yield higher systemic risks that can lead to a default. This study aims at determining the contagion effects towards Indonesian banks. This study used 18 bank samples who provided annual reports from 2007 to 2016. The measurement of the systemic risks was performed by using financial contagion risk index and was tested using Vector Autoregression method. Results show that there was a one-way causality pattern between banks as the research samples, covering BCA with Bank Mayapada, Bank Maybank, Bank Mega, and Bank Resona Perdania and also Bank CIMB Niaga with BCA, BRI, BNI, BTN, Commonwealth Bank, J-Trust Bank, Bank KEB Hana, Bank Mega, and Bank Permata. Meanwhile, two-way causality occurs between Bank BCA and Bank Mandiri and vice versa. In addition, the impact of the risk pressure of a bank is not always positive, however, it is also negative in some cases, which means that the bank can take advantage of the shocked conditions experienced by other banks</p>Musdholifah MusdholifahUlil HartonoYulita WulandariUniversitas Muhammadiyah Yogyakartaarticlecontagionsystemic riskinterbank marketbanking institutionshockEconomic theory. DemographyHB1-3840ENJurnal Ekonomi & Studi Pembangunan, Vol 20, Iss 2, Pp 207-220 (2019) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
contagion systemic risk interbank market banking institution shock Economic theory. Demography HB1-3840 |
spellingShingle |
contagion systemic risk interbank market banking institution shock Economic theory. Demography HB1-3840 Musdholifah Musdholifah Ulil Hartono Yulita Wulandari MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA |
description |
<p>As an essential institution to the practice of national payment flow, banks always confront with various risk exposures inherent in them. An interbank interactions through interbank money market might yield higher systemic risks that can lead to a default. This study aims at determining the contagion effects towards Indonesian banks. This study used 18 bank samples who provided annual reports from 2007 to 2016. The measurement of the systemic risks was performed by using financial contagion risk index and was tested using Vector Autoregression method. Results show that there was a one-way causality pattern between banks as the research samples, covering BCA with Bank Mayapada, Bank Maybank, Bank Mega, and Bank Resona Perdania and also Bank CIMB Niaga with BCA, BRI, BNI, BTN, Commonwealth Bank, J-Trust Bank, Bank KEB Hana, Bank Mega, and Bank Permata. Meanwhile, two-way causality occurs between Bank BCA and Bank Mandiri and vice versa. In addition, the impact of the risk pressure of a bank is not always positive, however, it is also negative in some cases, which means that the bank can take advantage of the shocked conditions experienced by other banks</p> |
format |
article |
author |
Musdholifah Musdholifah Ulil Hartono Yulita Wulandari |
author_facet |
Musdholifah Musdholifah Ulil Hartono Yulita Wulandari |
author_sort |
Musdholifah Musdholifah |
title |
MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA |
title_short |
MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA |
title_full |
MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA |
title_fullStr |
MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA |
title_full_unstemmed |
MEASURING CONTAGION RISK ON BANKING SYSTEM IN THE DIGITAL ERA |
title_sort |
measuring contagion risk on banking system in the digital era |
publisher |
Universitas Muhammadiyah Yogyakarta |
publishDate |
2019 |
url |
https://doaj.org/article/a76c5b5f872740f3964890a61e2834a2 |
work_keys_str_mv |
AT musdholifahmusdholifah measuringcontagionriskonbankingsysteminthedigitalera AT ulilhartono measuringcontagionriskonbankingsysteminthedigitalera AT yulitawulandari measuringcontagionriskonbankingsysteminthedigitalera |
_version_ |
1718396126013423616 |