Early warning to banking crises in the dual financial system in Indonesia: The Markov switching approach

Irfan Nurfalah, Aam Slamet Rusydiana, Nisful Laila, Eko Fajar Cahyono

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

This research aims at detecting early indicators that cause conventional banking and Islamic banking crises, identifying the longest crisis period for both types of banks, and comparing the stability between the two kinds of banks. The method used is the Markov Switching Vector Autoregressive (MS-VAR) approach. This study uses secondary data obtained from official sources and in monthly form from January 2004 to March 2017. The results show that Islamic banking is more stable against internal and external shocks than conventional banking. Z-score for Islamic banking is higher (11,933) than the Z-score for conventional banking (11,679). The longest crisis period for conventional banking was around April 2013-March 2017 while for Islamic banking was around January 2008-October 2008.

Original languageEnglish
Pages (from-to)133-156
Number of pages24
JournalJournal of King Abdulaziz University, Islamic Economics
Volume31
Issue number2
DOIs
Publication statusPublished - Jul 2018

Keywords

  • Banking crises
  • Early warning
  • Markov switching approach

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