1,253 research outputs found

    New types of non-trade related participation in commodity futures markets

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    This paper explores the growing involvement of new types of non- commodity-sector-related players in commodity futures markets. This includes a discussion on the role of managed funds, the impact of the use of commodity warrants, and the direct involvement of banks. The impact of this new form of "speculation" on the price formation process on commodity futures markets is then examined, and conclusions are drawn as to the use of these markets by commodity sector actors.commodity futures market, futures, options, speculation, market efficiency

    The Impact of Backwardation on Hedgers' Demand for Currency Futures Contracts: Theory versus Empirical Evidence

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    This study compares the relation between backwardation and optimal hedging demand as suggested by economic theory to empirical findings concerning the impact of weak and strong backwardation on hedgers' trading volume in six long and short currency futures contracts. First, the optimal hedging demand of a representative importer, with and without hedging costs, is derived. Then hedgers' position data from the Commitments of Traders (COT) report are regressed on weak and strong backwardation. The empirical results offer little support for the hypotheses suggested by economic theory.Backwardation, hedging, currency futures

    Statistical properties of derivatives: a journey in term structures.

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    This article presents an empirical study of thirteen derivative markets for commodity and financial assets. This paper goes beyond statistical analysis by including the maturity as a variable for futures contracts’s daily returns, from 1998 to 2010 and for delivery dates up to 120 months. We observe that the mean and variance of the commodities follow a scaling behavior in the maturity dimension with an exponent characteristic of the Samuelson effect. The comparison of the tails of the probability distribution according to the expiration dates shows that there is a segmentation in the fat tails exponent term structure above the Lévy stable region. Finally, we compute the average tail exponent for each maturity and we observe two regimes of extreme events for derivative markets, reminding of a phase diagram with a sharp transition at the 18th delivery month.Derivatives; Econophysics; Tail exponents; Term structures;

    Assessing the factors behind oil price changes

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    The rapid rise in the price of crude oil between 2004 and the summer of 2006 are the subject of debate. This paper investigates the factors that might have contributed to the oil price increase in addition to demand and supply for crude oil, by expanding a model for crude oil prices to include refinery utilization rates, a non-linear effect of OPEC capacity utilization, and conditions in futures markets as explanatory variables. Together, these factors allow the model to perform well relative to forecasts implied by the far month contracts on the New York Mercantile Exchange and are able to account for much of the rise in crude oil prices between 2004 and 2006. JEL Classification: C53, Q41Oil prices, OPEC, Refinery industry

    A profit model for spread trading with an application to energy futures

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    This paper proposes a profit model for spread trading by focusing on the stochastic movement of the price spread and its first hitting time probability density. The model is general in that it can be used for any financial instrument. The advantage of the model is that the profit from the trades can be easily calculated if the first hitting time probability density of the stochastic process is given. We then modify the profit model for a particular market, the energy futures market. It is shown that energy futures spreads are modeled by using a meanreverting process. Since the first hitting time probability density of a mean-reverting process is approximately known, the profit model for energy futures price spreads is given in a computable way by using the parameters of the process. Finally, we provide empirical evidence for spread trades of energy futures by employing historical prices of energy futures (WTI crude oil, heating oil, and natural gas futures) traded on the New York Mercantile Exchange. The results suggest that natural gas futures trading may be more profitable than WTI crude oil and heating oil due to its high volatility in addition to its long-term mean reversion, which offers supportive evidence of the model prediction. --futures spread trading,energy futures markets,mean-reverting process,first hitting,time probability density,profit model,WTI crude oil,heating oil,natural gas

    Holding a commodity futures index fund in a globally diversified portfolio: A placebo effect?

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    An increasing number of investors are including futures-based commodity index funds in their portfolios. The argument is that these funds increase diversification, enhance returns and serve as an inflation hedge. Much of the recent literature served to reinforce these ideas. We update the literature by examining recent data on returns and volatility. We further extend the literature by comparing the efficient frontiers of globally diversified stock and bond portfolios with and without the inclusion of futures index funds. We find little difference between the portfolios. Additionally, the returns from such funds do not appear significantly different than zero. They also lag the returns on spot commodities which have lagged inflation over the long haul.Commodity futures index fund, stationary bootstrap, efficient portfolio frontier

    Modelling and measuring price discovery in commodity markets

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    In this paper we present an equilibrium model of commodity spot (St) and future (Ft) prices, with finite elasticity of arbitrage services and convenience yields. By explicitly incorporating and modeling endogenously the convenience yield, our theoretical model is able to capture the existence of backwardation or contango in the long-run spot-future equilibrium relationship, (St-ß2Ft ). When the slope of the cointegrating vector ß2>1 (ß2
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