2007
DOI: 10.1080/00137910701503944
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Stochastic Oil Price Models: Comparison and Impact

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Cited by 32 publications
(18 citation statements)
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“…In the past, numerous empirical tests have been conducted to validate the suitability of the mean reversion process for modelling the oil price as well as to compare it to other stochastic processes (see e.g. Pindyck and Rubinfeld, 1991;Bessembinder et al, 1995;Pilipovic, 1998;Pindyck, 1999;Al-Harthy, 2007). The results point to the fact that the mean reversion process is well suited for this purpose, and certainly is better than the random walk process.…”
Section: Modelling Interdependencies Commodities and The Emissions Almentioning
confidence: 92%
“…In the past, numerous empirical tests have been conducted to validate the suitability of the mean reversion process for modelling the oil price as well as to compare it to other stochastic processes (see e.g. Pindyck and Rubinfeld, 1991;Bessembinder et al, 1995;Pilipovic, 1998;Pindyck, 1999;Al-Harthy, 2007). The results point to the fact that the mean reversion process is well suited for this purpose, and certainly is better than the random walk process.…”
Section: Modelling Interdependencies Commodities and The Emissions Almentioning
confidence: 92%
“…, 9]. It should be emphasized that, according to Sira [33], the uncertain production levels and the oil prices account for 80% of the NPV's volatility in a typical petroleum project (for literature on forecasting petroleum prices, see [1]). We use Monte Carlo simulation to model the uncertainties, considering a variance reduction technique known as common random numbers [cf., 20] to ensure that the same realizations for the key underlying random variable, namely the WTI price, were used to calculate the NPV for all projects.…”
Section: Data and Detailed Modelmentioning
confidence: 99%
“…GBM assumes that price changes from one time to the next are independent of each other and that at any point in time, the probability distribution for price is log-normal with its variance increasing as time passes (Al-Harthy, 2007;Begg and Smit, 2007).…”
Section: Theoretical Background 21 Stochastic Approaches To Predictmentioning
confidence: 99%
“…The distribution of P -could be obtain from various projections (EIA, 2012) while η assumes between 0.09 and 0.25 from the literatures (Al-Harthy, 2007;Begg and Smit, 2007). In the case of MRJ, it is necessary to set the jump size (dq) and the jump Figure 1.…”
Section: Market Uncertainty: the Estimation Of Oil Prices Using Stochmentioning
confidence: 99%
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