covid - 19大流行早期疫情的价格波动分析:以哥伦塔洛省葱市场为例

Yuliana Bakari
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摘要

2020年初的2019冠状病毒病大流行导致大葱等农产品价格出现不可预测的波动。本研究的目的是分析2019冠状病毒病大流行期间哥伦塔洛省青葱价格波动行为和价格波动激增以及2020年大流行的影响。本研究使用了国家食品战略信息中心2018年1月至2020年12月的每周价格时间序列数据。采用自回归条件异方差和广义自回归条件异方差(ARCH / GARCH)模型对价格波动进行数据分析。结果表明,大葱价格行为每年都是随机波动的,不可预测性更强,在2020年以后波动显著。ARCH / GARCH模型证明,2020年2019冠状病毒病大流行引发了不可预测的价格波动,导致哥伦塔洛省青葱商品价格波动。
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PRICE VOLATILITY ANALYZE IN EARLY PANDEMIC COVID 19 OUTBREAKS: CASE STUDY IN GORONTALO PROVINCE SHALLOT MARKET
The Covid-19 pandemic in early 2020 led to unpredictable price fluctuation in agricultural commodities such as Shallots. The purpose of this research was to analyze the price fluctuation behavior of shallots in Gorontalo Province during the Covid-19 Pandemic and the price volatility surge as well as the effect of the pandemic during 2020. This study used data from The National Food Strategy Information Center in the form of weekly price in time-series from January 2018 to December 2020. The data analysis on price volatility was conducted using the Auto-Regressive Conditional Heteroscedastic and Generalized Auto-Regressive Conditional Heteroscedastic (ARCH / GARCH) Models. The results show that shallot price behavior randomly fluctuates every year, is more unpredictable, and has significant fluctuation over 2020. The ARCH / GARCH models prove that Pandemic Covid-19 in 2020 triggered the unpredictable price fluctuation and led to price volatility of shallots commodity in Gorontalo Province.
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