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首页> 外文期刊>International Journal of Business and Management >Long-Dated Agricultural Futures Price Estimates Using the Seasonal Nelson-Siegel Model
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Long-Dated Agricultural Futures Price Estimates Using the Seasonal Nelson-Siegel Model

机译:使用季节性Nelson-Siegel模型进行的长期农业期货价格估计

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Over the counter (OTC) forward contracts are regularly traded by hedgers at maturities beyond the longest-dated futures contract. The presence of seasonality in agricultural commodities creates additional uncertainty for obtaining fair prices for OTC forward contract trades beyond the liquid futures strip. This paper employs an augmented Nelson-Siegel function to obtain seasonal agricultural commodity price estimates for OTC forward contracts beyond the longest available maturity of exchange traded futures contracts. A multifactor seasonal Nelson-Siegel model is chosen due to its internally consistent and parsimonious functional form. The Nelson-Siegel approach is used to model seasonally adjusted corn, cotton and sugar forward prices for OTC contracts out to five years maturity calibrated against shorter-dated futures contracts. Residual and contract liquidity testing indicates that the seasonal model provides efficient estimates of contract prices beyond the futures strip which allows agricultural commodity hedgers to obtain fair prices for OTC forward contracts.
机译:场外交易者(OTC)定期在远期期货合约之外的到期日对冲交易合约。农产品中存在季节性因素会给流动性期货带外的场外远期合约交易的公平价格带来额外的不确定性。本文采用了增强的Nelson-Siegel函数,以获取场外交易远期合约的季节性农产品价格估计值,该价格超出了交易所买卖期货合约的最长可用期限。由于其内部一致且简约的功能形式,因此选择了多因素季节性Nelson-Siegel模型。 Nelson-Siegel方法用于对经过短期调整的五年期到期的OTC合约的玉米,棉花和糖的远期价格进行建模,并根据较短的期货合约进行校准。剩余和合同流动性测试表明,季节性模型可以提供对期货价格以外期货价格的有效估计,这使农业商品避险者可以获得场外远期合约的公平价格。

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