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Adebun Adebun
Program Studi Statistika, Universitas Sebelas Maret
Humanities Economics, Econometrics & Finance Social Sciences

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Pemodelan Deteksi Dini Krisis Mata Uang Berdasarkan Indiktor Nilai Tukar Nominal Adebun Adebun; Sugiyanto Sugiyanto; Isnandar Slamet
Majalah Ilmiah Bijak Vol 16, No 2: September 2019
Publisher : Institut Ilmu Sosial dan Manajemen STIAMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.134 KB) | DOI: 10.31334/bijak.v16i2.512

Abstract

The financial crisis by definition is a situation where several financial assets lose most of their nominal value. The financial crisis experienced by Indonesia in 1997 had a severe impact on the Indonesian economy, so a model was needed to detect this crisis. The financial crisis can be detected using the nominal exchange rate indicator. This study aims to determine the appropriate combination of volatility models and the Markov switching model as a model for detecting financial crises in Indonesia based on nominal exchange rate indicators. The nominal exchange rate indicator taken from 1990 to 2018 is used to build a model for early detection of the financial crisis in Indonesia. The results showed that the combined exponential generalized autoregressive conditional heteroscedasticity and Markov regime switching, MRS-EGARCH (3,1,1) volatility models were both used to detect financial crises in Indonesia based on nominal exchange rate indicators
Co-Authors Isnandar Slamet Sugiyanto Sugiyanto