Despite the growing share of renewable energy sources, most of the world energy supply is still based on hydrocarbons and the vast majority of world transport is fuelled by oil products. Thus, the profitability of many companies may depend on the effective management of oil price risk. In this article, we analysed the effectiveness of artificial neural networks in hedging against the risk of WTI crude oil prices increase. This was reformulated from a regressive problem to a classification problem. The effectiveness of our approach, using artificial neural networks to classify observations, was verified for over ten years of WTI futures quotes, starting from 2009. The data analysis presented in this paper confirmed that the buyer of a call option was more often likely to incur a loss as a result of its purchase than make a profit after the final payoff from the call option. The results of the conducted research confirm that neural networks can be an effective form of protection against the risk of price fluctuations. The effectiveness of a network’s operation depends on the choice of assessment indicators, but analyses show that the networks which, for the indicator that was selected, gave the best results for the training set, also resulted in positive rates of return for the test set. Significantly, we also showed interdependence between seemingly unrelated indicators: percentage of the best possible results achieved in the analysed period of time by the proposed method and percentage of all available call options that were purchased based on the results from the networks that were used.

Crude Oil Option Market Parameters and Their Impact on the Cost of Hedging by Long Strap Strategy

Oil price changes significantly influence proper functioning of the entire world economy, which entails the risk of losses. One of the possible ways to reduce this risk is to use some dedicated risk management tools, such as options contracts. In this paper we investigate the possibility of using multilayer perceptron neural networks to provide signals of long positions to take in the European call options. The experiments conducted on the West Texas Intermediate (WTI) oil prices (2630 observations coming from 16 June 2009 until 14 February 2020) allowed the selection of the network parameters, such as the activation function or the network error measure, giving the highest return on options contracts. Despite the fact that about 2/3 call options produced losses, the buying signals provided by the network for the test set allowed it to reach a positive return value. This indicates that neural networks can be a useful tool supporting the process of managing the risk of changes in oil prices using option contracts.

The contemporary refining sector has to contend with many types of risks, among which price risk is considered to be the foremost. Moreover, refineries define it as a commodity risk and identify it with both opportunities and threats carried by changes in prices of crude oil and products of refining. In this paper, we present selected methods that may protect enterprises in the refinery sector from the consequences of rapid fluctuations in oil prices. The focus is mostly on the opportunities offered by commodity options. Skillful combination of the above-mentioned derivatives in optional strategies enables hedging of the purchase prices of raw materials within fixed price ranges. In order to examine the effectiveness of using these strategies, the parameters of the commodity options from the New York Mercantile Exchange are utilized. The analysis of the West Texas Intermediate (WTI) crude oil prices covers the period from June 2014 to March 2018. Three different strategies from the vertical spread group have been taken into consideration, namely, short butterfly spread, long strip, and long strap. European call and put options with different strike prices have been used in the construction of these strategies. The comparison of the results achieved in the research indicates that there is an answer to the question of strategies that ought to be used at various levels of oil price changes. Moreover, the empirical results reveal that during rapid fluctuations in crude oil price (5%, the strategies turned out to be an ineffective protection. The best results with rapid fluctuations in oil prices were obtained in the long strip strategy. Additionally, increasing the exercise price of options used in this strategy improved the mean for the final results. The higher exercise prices of the options also resulted in greater sensitivity of the effectiveness of the long strip strategy on the level of changes in oil prices. For the strategy variant with the At The Money (ATM)+10% options, the Pearson’s correlation coefficient between the final result and the WTI oil prices in the analyzed period amounted to –0.91. For variants with the ATM+5% and ATM options, the value of this coefficient was –0.85 and –0.71, respectively. It is also worth noting that the consequence of increasing strike price in the long strip strategy was higher standard deviations for the final results. The empirical results might be useful information for oil refineries. It can help refineries to create a more successful price risk management policy, which may thus protect the companies from the negative consequences of unfavorable crude oil price movements.

This paper aims to analyze the impact of implied volatility on the costs, break-even points (BEPs), and the final results of the vertical spread option strategies (vertical spreads). We considered two main groups of vertical spreads: with limited and unlimited profits. The strategy with limited profits was divided into net credit spread and net debit spread. The analysis takes into account West Texas Intermediate (WTI) crude oil options listed on New York Mercantile Exchange (NYMEX) from 17 November 2008 to 15 April 2020. Our findings suggest that the unlimited vertical spreads were executed with profits less frequently than the limited vertical spreads in each of the considered categories of implied volatility. Nonetheless, the advantage of unlimited strategies was observed for substantial oil price movements (above 10%) when the rates of return on these strategies were higher than for limited strategies. With small price movements (lower than 5%), the net credit spread strategies were by far the best choice and generated profits in the widest price ranges in each category of implied volatility. This study bridges the gap between option strategies trading, implied volatility and WTI crude oil market. The obtained results may be a source of information in hedging against oil price fluctuations.