<p>The oil market is arguably the most influential commodity market in the world, in that it has an effect on all economic variables in one way or another. Due to oil’s central role in the world economy, it is of the utmost importance that all parts of society strive to increase the understanding of how the market works. This study has analysed the efficiency of the oil market in the period 1986 to 2008, with the efficient market hypothesis as the theoretical framework. Data on the prices of spot and futures contracts on crude and heating oil has been collected from the New York Mercantile Exchange, and tested for cointegration, with the underlying assumption being that cointegration is a sign of weak form efficiency. The results implies that the spot and futures prices have not been cointegrated during the studied period, and thus we conclude that the oil market has not behaved in accordance with the weak form of the efficient market hypothesis.</p>

The oil market is arguably the most influential commodity market in the world, in that it has an effect on all economic variables in one way or another. Due to oil’s central role in the world economy, it is of the utmost importance that all parts of society strive to increase the understanding of how the market works. This study has analysed the efficiency of the oil market in the period 1986 to 2008, with the efficient market hypothesis as the theoretical framework. Data on the prices of spot and futures contracts on crude and heating oil has been collected from the New York Mercantile Exchange, and tested for cointegration, with the underlying assumption being that cointegration is a sign of weak form efficiency. The results implies that the spot and futures prices have not been cointegrated during the studied period, and thus we conclude that the oil market has not behaved in accordance with the weak form of the efficient market hypothesis.

This thesis is concerning the problematic of derivatives which can be applicable for commodity risk hedging. The futures contracts and options are utilized for hedging commodity risk on oil market. For purposes of this work is designed a trading strategy, which consists of exponential moving average and expiration cycle of the options. The strategy is tested on historical oil prices. Because the strategy shows promising outputs it was employed on setting options strategy as well. The hedging options strategy collar is tested on historical prices of oil. Testing on historical prices discovered that it is profitable for processor to hedge the oil price by futures contracts. For producer it is more profitable to hedge the price by employing standard collar strategy. On the other side the bear collar strategy generated quite unconvincing outputs for processor. When the out-the-money bear collar war modified into in-the-money bear collar the outputs were satisfactorily profitable.

The first chapter of this dissertation estimates the relative contributions of two major exchanges on crude oil futures to the price discovery process-- Chicago Mercantile Exchange (CME) and Intercontinental Exchange (ICE), using trade-by-trade data in 2008. The study also empirically analyzes the effects of trading characteristics on the information share of these two markets. Trading characteristics examined in the study include trading volume, trade size, and trading costs. On average, CME is characterized by greater volume and trade size but also slightly greater bid-ask spread. CME leads the process of price discovery and this leadership is caused by relative trade size and volatility before the financial crisis of 2008; however post-crisis period this leadership is caused by trading volume. Moreover, this study presents evidence that, in times of large uncertainty in the market, the market maker charges a greater bid-ask spread for the more informative market. The second chapter examines the influence of expected oil price volatility, the behavior of the Organization of Petroleum Exporting Countries (OPEC), and the US Dollar exchange rate volatility on the backwardation of crude oil futures during the period from January 1986 to December 2008. The results indicate that oil futures are strongly and weakly backwardated 57% and 69% of the time, respectively. The regression analysis of weak backwardation shows that oil volatility, OPEC overproduction (difference between quota and the actual production), and the volatility of the US Dollar against the Japanese Yen have a positive significant effect on oil backwardation, while OPEC production quota imposed on its members has a negative significant effect on oil backwardation. However the volatility of US Dollar against the British Pound has no significant effect on oil backwardation. The regression analysis of strong backwardation produces qualitatively the same results except that volatility has no effect. In a sub-period analysis, evidence also indicates that trading volume of oil funds and backwardation are negatively related, suggesting that oil funds increase the demand of futures relative to that of spot.

This thesis enhances rare literature focusing on modeling and forecasting of term structure of crude oil markets. Using dynamic Nelson-Siegel model, crude oil term structure is decomposed to three latent factors, which are further forecasted using both parametric and dynamic neural network approaches. In-sample fit using Nelson-Siegel model brings encouraging results and proves its applicability on crude oil futures prices. Forecasts obtained by focused time-delay neural network are in general more accurate than other benchmark models. Moreover, forecast error is decreasing with increasing time to maturity.

There is a lack of research in the area of hedging future contracts, especially in illiquid or very volatile market conditions. It is important to understand the volatility of the oil and currency markets because reduced fluctuations in these markets could lead to better hedging performance. This study compared different hedging methods by using a hedging error metric, supplementing the Receding Horizontal Control and Stochastic Programming (RHCSP) method by utilizing the London Interbank Offered Rate with the Levy process. The RHCSP hedging method was investigated to determine if improved hedging error was accomplished compared to the Black-Scholes, Leland, and Whalley and Wilmott methods when applied on simulated, oil, and currency futures markets. A modified RHCSP method was also investigated to determine if this method could significantly reduce hedging error under extreme market illiquidity conditions when applied on simulated, oil, and currency futures markets. This quantitative study used chaos theory and emergence for its theoretical foundation. An experimental research method was utilized for this study with a sample size of 506 hedging errors pertaining to historical and simulation data. The historical data were from January 1, 2005 through December 31, 2012. The modified RHCSP method was found to significantly reduce hedging error for the oil and currency market futures by the use of a 2-way ANOVA with a t test and post hoc Tukey test. This study promotes positive social change by identifying better risk controls for investment portfolios and illustrating how to benefit from high volatility in markets. Economists, professional investment managers, and independent investors could benefit from the findings of this study.

This thesis offers a political geography of unconventional energy development through a study of a particular fossil fuel resource called oil shale. Having long occupied a critical place in the politics and economy of certain states, most notably in Estonia, oil shale is now widely known as an ‘unconventional’ resource that is yet to become technically possible, commercially viable and socially acceptable to exploit. Following the movement through which oil shale becomes both unconventional and conventional, the thesis traces the resource through a series of geo-scientific, economic and political interventions. This study is based on analysis of technical literature and policy documents along with ethnographic fieldwork, interviews, and site visits conducted in Estonia, Colorado, Utah, Jordan, London and Brussels. Drawing together relational accounts of natural resources in political ecology and economic geography with insights from Science and Technology Studies, this project both contributes to critical research on the carbon economy and to recent debates on the concepts of materiality, anticipation, and marketization in social sciences. The thesis proposes a relational conceptualization of resource materiality, situating oil shale in multiple and conflicting forms which derive from geographically disparate practices in both resource assessment and technological development. The future of oil shale exploitation is not pre-determined by the process of global resource decline, nor is it precluded by international demands to move towards lower-carbon futures. Rather, it is determined through the conjunction of different future-oriented economic and political calculations that are entangled with resource materials and associated technological systems. Developing a non-essentialist account of markets as socio-technically distributed arrangements, the thesis argues that these rival calculations influence the design of market rules for both energy and emissions trading. The thesis concludes that what counts as ‘unconventional’ is not given, but continues to be both created and contested at the same time as it is ‘conventionalized’.

Paper [I] tests the success rate of trades and the returns of the Opening Range Breakout (ORB) strategy. A trader that trades on the ORB strategy seeks to identify large intraday price movements and trades only when the price moves beyond some predetermined threshold. We present an ORB strategy based on normally distributed returns to identify such days and find that our ORB trading strategy result in significantly higher returns than zero as well as an increased success rate in relation to a fair game. The characteristics of such an approach over conventional statistical tests is that it involves the joint distribution of low, high, open and close over a given time horizon. Paper [II] measures the returns of a popular day trading strategy, the Opening Range Breakout strategy (ORB), across volatility states. We calculate the average daily returns of the ORB strategy for each volatility state of the underlying asset when applied on long time series of crude oil and S&amp;P 500 futures contracts. We find an average difference in returns between the highest and the lowest volatility state of around 200 basis points per day for crude oil, and of around 150 basis points per day for the S&amp;P 500. This finding suggests that the success in day trading can depend to a large extent on the volatility of the underlying asset. Paper [III] performs empirical analysis on short-term and long-term Commodity Trading Advisor (CTA) strategies regarding their exposures to unanticipated risk shocks. Previous research documents that CTA strategies offer diversification opportunities during equity market crisis situations when evaluated as a group, but do not separate between short-term and long-term CTA strategies. When separating between short-term and long-term CTA strategies, this paper finds that only short-term CTA strategies provide a significant, and consistent, exposure to unanticipated risk shocks while long-term CTA strategies do not. For the purpose of diversifying a portfolio during equity market crisis situations, this result suggests that an investor should allocate to short-term CTA strategies rather than to long-term CTA strategies.