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Hedging strategies and price risk: An empirical analysis.

机译:套期保值策略和价格风险:实证分析。

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摘要

This dissertation focused on the use of futures contracts as a hedge against price risk and is motivated by two key questions. First, will daily corn (soybean) futures prices consistently yield higher/lower prices than daily cash spot prices, after adjusting for an arbitrage bound? Second, does a hedge ratio exist that minimizes price risk for corn (soybean) producers?; Data consisted of daily futures prices and daily cash spot prices for corn (September/December) and soybean (November/January) contracts for the period 1970 through 2000. These two commodities have the largest futures trading and highest production volume of all agricultural commodities.; Two primary data analysis techniques were applied. First, price differences were analyzed using a timing model, adjusted for an arbitrage bound. The results from the timing model do not support the null hypothesis that “a time frame does not exist in which daily corn (soybean) futures prices are consistently higher/lower than the related daily cash spot price, after adjusting for an arbitrage bound.” In fact, the results suggest that futures prices more often fall “below” the arbitrage lower bound limit than they do within or above the bound.; Second, the data was analyzed using a mean-variance framework and a logarithmic utility function to determine hedge ratios for corn (soybeans). The calculated hedge ratios do not support the null hypothesis that “a partial hedge will not consistently allow a producer to receive a higher average price than a full hedge of expected corn (soybeans) yield.” Specifically, the results for both corn contracts and the November soybean contract suggest that producers should hedge less than 100% of expected output while the results from the January soybean contract suggest that producers should hedge more than 100% of their expected output.
机译:本文着眼于利用期货合约对冲价格风险,并受到两个关键问题的推动。首先,经过套利调整后,每日玉米(大豆)期货价格会比每日现货现货价格持续产生更高/更低的价格吗?第二,是否存在将玉米(大豆)生产商的价格风险降至最低的对冲比率?数据包括1970年至2000年期间的每日期货价格和玉米(9月/ 12月)和大豆(11月/ 1月)合约的每日现货现货价格。这两种商品的期货交易量最大,而所有农产品的产量最高。 ;应用了两种主要的数据分析技术。首先,使用时间模型分析价格差异,并针对套利限制进行调整。时间模型的结果不支持零假设:“不存在一个时间框架,在调整套利限制后,每日玉米(大豆)期货价格始终高于/低于相关的每日现货现货价格。”实际上,结果表明,期货价格比其在边界内或边界内的价格更经常落在“套利下限”之下。其次,使用均值方差框架和对数效用函数对数据进行分析,以确定玉米(大豆)的对冲比率。计算得出的套期保值比率不支持零假设:“部分套期保值将无法始终使生产者获得比预期玉米(大豆)单产的全部套期价格更高的平均价格。”具体而言,玉米合约和11月大豆合约的结果都表明,生产者应对冲低于预期产量的100%,而1月大豆合约的结果表明,生产者应对冲其预期产量的100%以上。

著录项

  • 作者

    Hunter, Debra R.;

  • 作者单位

    Louisiana Tech University.;

  • 授予单位 Louisiana Tech University.;
  • 学科 Business Administration Accounting.; Economics Finance.; Economics Agricultural.
  • 学位 D.B.A.
  • 年度 2004
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 财务管理、经济核算;财政、金融;农业经济;
  • 关键词

  • 入库时间 2022-08-17 11:44:21

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