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Simulation and Hedging Oil Price with Geometric Brownian Motion and Single-Step Binomial Price Model

机译:几何布朗运动和单步二项式价格模型对油价进行模拟和对冲

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This paper [1] uses the Geometric Brownian Motion (GBM) to model the behaviour of crude oil price in a Monte Carlo simulation framework. The performance of the GBM method is compared with the na?ve strategy using different forecast evaluation techniques. The results from the forecasting accuracy statistics suggest that the GBM outperforms the na?ve model and can act as a proxy for modelling movement of oil prices. We also test the empirical viability of using a call option contract to hedge oil price declines. The results from the simulations reveal that the single-step binomial price model can be effective in hedging oil price volatility. The findings from this paper will be of interest to the government of Nigeria that views the price of oil as one of the key variables in the national budget. JEL Classification Numbers : E64; C22; Q30
机译:本文[1]使用几何布朗运动(GBM)在蒙特卡洛模拟框架中对原油价格行为进行建模。使用不同的预测评估技术,将GBM方法的性能与朴素策略进行比较。预测准确性统计数据的结果表明,GBM优于简单模型,可以作为模拟油价走势的代理。我们还测试了使用看涨期权合约对冲石油价格下跌的经验可行性。模拟结果表明,单步二项式价格模型可以有效地规避石油价格的波动。尼日利亚政府将石油的价格视为国家预算中的关键变量之一,因此该报告的研究结果将引起尼日利亚政府的关注。 JEL分类号:E64; C22; Q30

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