首页> 外文期刊>Mysore journal of agricultural sciences >Volatility Analysis of Sunflower and Groundnut Price and Arrivals at Challakere and Sira Market
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Volatility Analysis of Sunflower and Groundnut Price and Arrivals at Challakere and Sira Market

机译:Challakere和Sira市场的向日葵和花生价格及到货价格的波动性分析

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摘要

Issue of prices volatility has assumed critical importance today in the context of agricultural trade liberalization. Volatility in prices and arrivals of groundnut and sunflower crops from Challakere and Sira markets is modeled in the present stdy using ARCH model. This technique initially develops models for the variance of prices and arrivals. Later, these variances are used in obtaining the actual prices and arrivals. Lagrange - Multiplier (LM) test indicates the presence of ARCH effect in all series except for Sunflower arrivals in both Challakere and Sira markets. High value ofR^ and low value of AIC has shown that ARCH (1) model was adequate in modeling all the series. Residuals obtained from these models are tested for ARCH effects using 2,LM test. The result shows that there was no residual ARCH effect. Thus, ARCH (1) model is known to best fit it is further used in forecasting the monthly average prices and arrivals of groundnut and sunflower at Challakere and Sira markets, for the year2014.
机译:在农业贸易自由化的今天,价格波动问题已成为至关重要的问题。在当前的研究中,使用ARCH模型对来自Challakere和Sira市场的花生和葵花籽价格和到货价格的波动进行了建模。这项技术最初为价格和到达的差异开发模型。后来,这些差异用于获取实际价格和到达。拉格朗日乘数(LM)测试表明,除了向日葵在Challakere和Sira市场上市外,所有系列中都存在ARCH效应。高R值和低AIC值表明ARCH(1)模型足以对所有系列进行建模。使用2,LM测试,测试从这些模型获得的残差的ARCH效应。结果表明没有残留的ARCH效应。因此,已知ARCH(1)模型最适合该模型,该模型还用于预测2014年Challakere和Sira市场的花生和向日葵的月平均价格和到货量。

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