
Early Detection of South Korean Financial Crisis using MS-GARCH Based on Term of Trade Indicator
Author(s) -
Husna Afanyn Khoirunissa,
Sugiyanto Sugiyanto,
Sri Subanti
Publication year - 2021
Publication title -
indonesian journal of applied statistics
Language(s) - English
Resource type - Journals
ISSN - 2621-086X
DOI - 10.13057/ijas.v4i2.49169
Subject(s) - financial crisis , autoregressive conditional heteroskedasticity , heteroscedasticity , economics , currency , volatility (finance) , currency crisis , monetary economics , financial economics , econometrics , macroeconomics
A bstract . The 1997 Asian financial crisis, which occurred until 1998, had a significant impact on the economies of Asian countries, including South Korea. The crisis brought down the South Korean currency quickly and sent the economy into sudden decline. Because the impact of the financial crisis was severe and sudden, South Korean requires a system which able to sight crisis signals, therefore that, the crisis will be fended off. One in all the indicators that can detect the financial crisis signals is that the term of trade indicator which has high fluctuation and change in the exchange rate regime. The mixture of Markov Switching and volatility models, Generalized Autoregressive Conditional Heteroscedasticity (GARCH), or MS-GARCH could explain the crisis. The MS-GARCH model was built using data from the South Korean term of trade indicator during January 1990 until March 2020. The findings obtained in this research can be inferred that the best model of the term of trade is MS-GARCH (2,1,1). Term of trade indicator on that model could explain the Asian monetary crisis in 1997 and also the global monetary crisis in 2008. The smoothed probability of term of trade indicators predicts in April till December 2020 period, there will be no signs of the monetary crisis in South Korea. Keywords : financial crisis, MS-GARCH, South Korea, term of trade indicator