ANALISIS EFEK MUSIM HUJAN DAN KEMARAU TERHADAP HARGA BERAS

Kumara Jati
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引用次数: 3

Abstract

This study analyzes the effects of the rainy and dry seasons on rice prices. Autoregressive and Moving Average (ARMA) and Autoregressive Conditional Heteroskedasticity / Generalized Autoregressive Conditional Heteroskedasticity (ARCH / GARCH) with a dummy variable. We used daily data of the stock and the price of rice from January 29, 2014 until January 29, 2018. ARMA (0,1)-ARCH (1) model with dummy variable that is dry season is more influence conditional variance of rice price compared with rainy season dummy variable. Stakeholders need to pay more attention to fluctuations in rice prices, especially in the dry season because rice supply is relatively less and there is only puso harvest.
分析雨季和旱季对大米价格的影响
本研究分析了雨季和旱季对稻米价格的影响。自回归和移动平均(ARMA)和自回归条件异方差/广义自回归条件异方差(ARCH / GARCH)与虚拟变量。我们使用了2014年1月29日至2018年1月29日的每日大米库存和价格数据。与雨季虚拟变量相比,以旱季为虚拟变量的ARMA (0,1)-ARCH(1)模型对大米价格条件方差的影响更大。利益相关者需要更多地关注大米价格的波动,特别是在旱季,因为大米供应相对较少,只有收成不好。
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11
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10 weeks
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