Phd thesis on commodity derivatives

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From: Jaz S.
Category: thesis grade
Added: 15.05.2021
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On pricing of futures contracts and derivatives in the WTI crude oil market

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Modeling, Valuation and Risk Management of Commodity Derivatives - Innovations Report

Akpak Aygul, Melek An examination of commodity derivative markets: efficiency, volatility and diversification benefits. PhD thesis, University of Essex. This thesis comprises three papers which all examine commodity derivative markets and have a particular focus on commodity futures markets. The first paper examines market efficiency in metal, agricultural, financial and energy futures markets across different maturities. In the long-run, we found all markets to be efficient. And in the short-run, inefficiencies are found in the metal and energy future markets but not in the agricultural and financial markets. These findings indicate that the structure of markets and the forecast horizon are important factors to consider when assessing market efficiency.
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Global Research Summer Associate Program

PhD thesis, University of Glasgow. Ever since a stochastic process for valuing futures contracts was first introduced by Black in , a large number of people have been drawn to this developing domain of quantitative finance. To be more specific, at the end of the last century, Schwartz built a factor model system, step by step, with different co-workers.
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Market risk is a risk of adverse changes in prices or rates, such as interest rates, foreign exchange rates, stock prices, and commodity and energy prices. Credit risk is a risk of default on a financial obligation, such as a bond, loan, or lease. Aspects of financial risk management include measuring the risk of a financial transaction transaction risk or of a large investment portfolio portfolio risk , an entire financial institution enterprise risk , or a network of financial institutions systemic risk , exploring ways to reduce risk, and determining an adequate capital reserve against potential losses. Risk management requires good models of extreme financial events and the capacity to compute the risk of a large portfolio in a timely manner. Linetsky is working on mathematical modeling of credit risk in several settings.
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