實證證據顯示商品價格有均值回歸和跳躍的特性。由於一些商品期權收益涉及歷史商品價格的算術平均，因此我們求出算術亞式期權在均值回歸跳躍擴散過程下的分析解。比分析解是對資產價格最終值和實際平均值的聯合特徽函數進行快速傅立葉變換獲得。我們通過數值模擬研究來檢驗此建議方法的準確度和計算效率。 / Empirical evidence indicates that commodity prices are mean reverting and exhibit jumps. As some commodity option payoff involves the arithmetic average of historical commodity prices, we derive an analytical solution to arithmetic Asian options under a mean reverting jump diffusion process. The analytical solution is implemented with the fast Fourier transform based on the joint characteristic function of the terminal asset price and the realized average value. We also examine the accuracy and computational efficiency of the proposed method through numerical studies. / Detailed summary in vernacular field only. / Chung, Shing Fung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 40-42). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts also in Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Model with constant parameters --- p.5 / Chapter 2.1 --- Model specification --- p.6 / Chapter 2.2 --- Joint characteristic function --- p.8 / Chapter 3 --- Model with time-dependent parameters --- p.12 / Chapter 3.1 --- Model specification --- p.13 / Chapter 3.2 --- Joint characteristic function --- p.13 / Chapter 4 --- Fast Fourier transform on Asian option prices --- p.18 / Chapter 5 --- Numerical results --- p.20 / Chapter 5.1 --- Comparison of the analytical solution and Monte Carlo simulation . --- p.20 / Chapter 5.2 --- Price sensitivity and model parameters --- p.26 / Chapter 5.3 --- Price sensitivity and payoff structure --- p.26 / Chapter 6 --- Conclusion --- p.33 / Chapter A --- Normally distributed jump size --- p.34 / Bibliography --- p.40

This thesis examines the relationship between spot prices, futures prices, and ending stocks for storable commodities. We used Granger causality and DAGs to determine causal relationships and cointegration tests to determine long-run relationships. We use VAR/VECM and consider innovation accounting techniques to see how volatility in one market affects the price behavior and volatility in the other market. Results suggest that for agricultural commodities, innovations in futures price permanently increase the level of spot prices while accounting for much of spot price variance over time. For national oil, shocks to futures price decrease the level of spot price in the long run. In regional oil markets, there are transitory impulse responses. Futures price plays a small role in the volatility of spot prices for oil over time. Overall results are mixed, with oil suggesting futures markets may have a price stabilizing effect and agriculture commodities indicating spot price destabilization.

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