Masterarbeit, 2011
82 Seiten, Note: 8,0
1 Introduction
2 The Market for Crude Oil
2.1 Fundamentals of Physical Crude Oil Demand and Supply
2.2 Financial Markets for Crude Oil
2.2.1 Ways of Gaining Exposure
2.2.2 Participants in Financial Commodity Markets
3 Regulation and Commodity Derivatives Speculation
3.1 Current Commodity Futures and Derivatives Markets Regulatory Regime
3.2 Debate about Commodity Speculation and Proposed Regulatory Measures
4 Literature Review
4.1 Related Studies
4.2 Contributions of this Study
5 Data
5.1 CFTC Position Data
5.2 United States Oil Fund Position Data
5.3 Financial Markets Data
5.4 Physical Storage Data
5.5 Time Series Derived from the Raw Data
6 Methodology
6.1 Correlation
6.2 OLS Regression Model
6.3 Granger Causality
7 Results and Interpretation
7.1 Correlation Analysis
7.2 OLS Regression Analysis
7.2.1 Weekly Regression Analysis
7.2.2 Daily Regression Analysis
7.2.3 Validity of OLS Assumptions
7.3 Granger Causality Analysis
8 Conclusion
This thesis investigates the drivers of crude oil futures prices, specifically analyzing the extent to which price variations are caused by fundamental economic factors versus financial investment and speculation. The primary research question addresses whether crude oil price changes are driven by fundamentals, speculation, or both, particularly during the 2008 price run-up and subsequent bust.
4.2 Contributions of this Study
The aim of the present analysis is to answer the following research question and sub-questions:
Are crude oil price changes driven by fundamentals, speculation, or both?
Was this relationship different during and subsequent to the run-up and subsequent bust in oil prices?
What are the roles of passive investors such as index replicators and traditional speculators such as hedge funds?
Do commercial and non-commercial actors in crude oil futures markets trade fundamental information and on what time horizons how do they process this information.
Can a single large commodity fund move market prices?
Considering the outcomes, what are possible implications for regulation?
For this purpose, the analysis employs a comprehensive analytic procedure consisting of correlation measures, Ordinary Least Squares (OLS) regressions and Granger Causality tests.
1 Introduction: Provides an overview of oil price volatility and outlines the research objective regarding the drivers of these price changes.
2 The Market for Crude Oil: Explains the fundamentals of physical supply and demand, and details the financial market structure for crude oil.
3 Regulation and Commodity Derivatives Speculation: Discusses the current regulatory framework and proposals related to commodity market speculation.
4 Literature Review: Synthesizes existing academic debates and explains the unique contributions of this study.
5 Data: Details the sources of CFTC position data and other economic variables used in the analysis.
6 Methodology: Outlines the econometric approach, including correlation, OLS regression, and Granger Causality tests.
7 Results and Interpretation: Presents the findings from the statistical analyses and interprets their meaning regarding market drivers.
8 Conclusion: Summarizes the findings and discusses the implications of financial involvement for future regulation.
Crude Oil, Futures Markets, Speculation, Financial Investors, Fundamentals, CFTC, Price Discovery, Hedging, Commodity Derivatives, Market Volatility, Dodd-Frank, Index Replicators, Managed Money, OLS Regression, Granger Causality
The thesis examines the relationship between financial investment, speculation, and crude oil futures prices, aiming to identify whether market movements are driven by fundamental supply-demand factors or by speculative activity.
Key themes include the role of different trader categories in futures markets, the impact of the 2008 financial crisis on oil prices, the efficiency of commodity markets, and the effectiveness of proposed regulatory interventions.
The central question is: Are crude oil price changes driven by fundamentals, speculation, or both?
The study employs quantitative econometric methods, specifically correlation analysis, Ordinary Least Squares (OLS) regressions, and Granger Causality tests on disaggregated trader position data.
The main body covers market fundamentals, regulatory environments, a review of existing literature, a detailed explanation of the data collected, the chosen methodology, and an interpretation of regression and causality test results.
Keywords include Crude Oil, Speculation, Financial Investors, Fundamentals, CFTC, Price Discovery, and Commodity Derivatives.
The study uses daily holding and transaction data from the United States Oil Fund (USO) to analyze whether fund flows impact futures prices and to assess the fund's role as a proxy for institutional investment.
The research suggests that while non-commercial actors influence price discovery, strict position limits might be problematic; however, given the potential for sentiment-driven herd behavior, the findings support the need for effective regulatory oversight.
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