The Volatility of ASIAN Stock Exchange Post Monetary Crisis: Utilizing ARCH Family Model

A. Juliana, Roni Padliansyah, Riska Yulianti, Nurul Hidayat
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Abstract

. This study examines heteroscedasticity in the index data of 5 countries, including Malaysia, China, Indonesia, Singapore and Japan. The study also determines the level of volatility that can describe future returns and risks that affect investment behavior. Additionally, this research analyzes whether post-crisis economic growth can affect a countries volatility level. The ARCH model will describe volatility in 5 indexes, while the Symmetric and Asymmetric GARCH methods capture negative shocks affecting the level of volatility. The results showed significant ARCH and GARCH effects, such that market fluctuations or the level of volatility that occurs after a crisis is quite large and shocks have an influence. However, the GARCH-M model (1.1) for the four sample countries did not establish any significant risk premium. Different events cause significant risk premiums are in Singapore. Asymmetric modeling in both EGARCH (1.1) and TGARCH (1.1) models showed insignificant results in all 5 sample countries. This implies that negative shocks do not affect investors' responses than positive ones, which influences the market's volatility level. The study modeled volatility in 4 Asian countries and Indonesia using the ARCH family approach to increase the robustness of capturing ASIAN stock exchanges' uncertainty.
金融危机后亚洲证券市场波动:基于ARCH族模型
. 本研究检验了马来西亚、中国、印度尼西亚、新加坡和日本5个国家的指数数据的异方差。该研究还确定了波动性的水平,波动性可以描述影响投资行为的未来回报和风险。此外,本研究还分析了危机后经济增长是否会影响一个国家的波动水平。ARCH模型将用5个指标描述波动率,而对称和非对称GARCH方法捕捉影响波动率水平的负面冲击。结果显示出显著的ARCH和GARCH效应,即危机发生后的市场波动或波动水平相当大,冲击有影响。然而,四个样本国家的GARCH-M模型(1.1)没有建立任何显著的风险溢价。不同的事件导致新加坡的风险溢价较高。EGARCH(1.1)和TGARCH(1.1)模型的不对称建模在所有5个样本国家都显示不显著的结果。这意味着负面冲击不会影响投资者的反应,而正面冲击会影响市场的波动水平。本研究使用ARCH家族方法对4个亚洲国家和印度尼西亚的波动率进行建模,以增加捕获亚洲证券交易所不确定性的稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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