Computer prediction of cotton and sporting goods prices in e-commerce environment based on ARIMA model

In the current society, e-commerce is enjoying extremely rapid development, with a goal of helping enterprises smooth their production process, management process and trade process. China has always been the center of world's garment industry, especially in the production sector of sportswear, in which it has become the world's sportswear production outsourcing center and an important market. In this paper, time series analysis method is used to analyze the weekly data of settlement price of common cotton price (unit: yuan/ton) from March 3rd, 2003 to May 7th, 2012 in China. ARIMA (2,1,3) model is established to fit and predict the future price of Chinese sportswear. The fitting results show that the prediction effect of the model is quite impressive, that in a short run, the settlement price of ordinary blended Cotton price will continue to rise. This result can provide certain reference for enterprises closely related to sportswear production enterprises, to seek profits and avoid disadvantages, and grasp the initiative of economic decision-making to win profits for enterprises.

To Assess the Association between Exchange Rate, Commodity Prices and Cryptocurrency in Indonesia

The paper aimed to assess the association among exchange rate, commodity prices and crypto currency in Indonesia. This study is quantitative in which the data has been gathered from the Investing.com from 2016 to 2020. The variables which were considered in the study include exchange rate, gold prices, cotton prices, oil prices, Bitcoin and Ethereum. In terms of the analysis, the vector autoregression and granger causality test has been adopted.The results of this study identified that there is no effect of exchange rate, oil price, cotton price and gold price on Bitcoin. On the other hand, there is only significant effect of gold prices on Ethereum. The results of this study are restricted to Indonesian context and the data has been considered from 2016 to 2019 due to the lack of data on crypto currency.

Dynamic Optimization of Nitrogen in Plateau Cotton Yield Functions with Nitrogen Carryover Considerations

This study utilizes a dynamic programming decision model, considering an intertemporal nitrogen carryover function, combined with both linear stochastic and deterministic plateau response functions to evaluate optimal nitrogen fertilizer decision rules and net present values (NPVs) in Texas High Plains cotton production. Nitrogen recommendations and NPVs are influenced by response function choice and nitrogen-to-cotton price ratios. Results indicate the stochastic plateau function better describes the data; the optimum nitrogen recommendation is to apply approximately 40 lb. of nitrogen for each bale of cotton production when considering nitrogen carryover information.

Nominal-Time Analysis of Cotton Prices in China Impacts the Use of Granger Causality in Vector Error Correction Model

The paper aims consists of modelling the cotton price index in China to determine the dependency of the previous increase in cotton prices on stocks and imports of cotton in the internal market during the sample period from 1991 to 2014. The paper opted for an empirical study using the time-series Vector Error Correction Model (VECM) framework. The paper provides empirical insights about the innovation of cotton price in domestic market of the China. It suggests that there are bidirectional relationships among the price and the stock in a system. It suggests also that cotton imports serve a significant role in the price index of current trends relative to future stocks. Thus, we concluded that the previous high cotton prices in China were attributed to the previous need to increase cotton stocks but not directly via the import of cotton; however, the latter may have a significant role in the future.

Cotton and fiber quality in function of picker harvest speed

ABSTRACT Cotton price is determined by the quality of the fiber, which can be damaged at the time of harvest, in addition to quantitative losses of non-harvested plume. Therefore, this study aimed to analyse soil and plant losses, and the quality of cotton fiber in relation to five harvest speeds (5, 6, 7, 8, and 9 km h-1) in the spindle system (picker). The experiment was conducted in Lucas do Rio Verde, Mato Grosso, Brazil. A randomized complete block design was used on plots of 0.9 ha, with 20 plot, five speeds, and four blocks. The results showed that the studied speeds did not significantly influence losses on the soil and plant, or the quality of the cotton fiber; therefore, the highest speed may be recommended.

Inputs Prices Shocks and Economic Growth: Comparative Analysis of the Effects of Oil and Cotton Prices Shocks in Burkina Faso

<p><em>This paper analyzes the effects of oil and cotton price shocks on Burkina Faso economic growth using a multivariate VAR model estimation. We have distinguished between the linear and nonlinear specification of oil and cotton price shocks in our study. For the nonlinear specification, we make the difference between prices increase and price decreases. We find</em><em> </em><em>that oil price shocks do not affect Burkina Faso’s real GDP in both linear and nonlinear specification. However, we do find that cotton price shocks in linear and nonlinear model, Granger cause real GDP and final consumption. In addition, the study has shown that both positive and negative cotton price shocks affect positively the real GDP.</em><em></em></p>