A Revised Hedging Model of the Risk Premium in the Commodities Futures Markets PDF Download
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Author: Stacie Ellen Beck
Publisher:
ISBN:
Category :
Languages : en
Pages : 388
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Author: Stacie Ellen Beck
Publisher:
ISBN:
Category :
Languages : en
Pages : 388
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Book Description
Author: Mr.Manmohan S. Kumar
Publisher: International Monetary Fund
ISBN: 145194196X
Category : Business & Economics
Languages : en
Pages : 32
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Book Description
This paper undertakes an econometric investigation into the presence of risk premium in commodity futures markets. The statistical tests are derived from a formal model of asset pricing and are applied to futures prices in a variety of commodity markets. The results suggest that for several commodities there is evidence of a time varying risk premium, particularly in futures contracts maturing six months ahead. The implications of the study for the efficiency of the futures markets and the costs of using these markets for hedging are also noted.
Author: Slobodan Jovanovic
Publisher: Harriman House Limited
ISBN: 0857193295
Category : Business & Economics
Languages : en
Pages : 454
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Book Description
This book is an invaluable resource of hedging case studies and examples, explaining with clarity and coherence how various instruments - such as futures and options - are used in different market scenarios to contain, control and eliminate price risk exposure. Its core objective is to elucidate hedging transactions and provide a systematic, comprehensive view on hedge performance. When it comes to hedge strategies specifically, great effort has been employed to create new instruments and concepts that will prove to be superior to classic methods and interpretations. The concept of hedge patterns - introduced here - proves it is possible to tabulate a hedging strategy and interpret its use with diagrams, so each example is shown visually with the result of radical clarity. A compelling visual pattern is also attached to each case study to give you the ability to compare different solutions and apply a best-fit hedging strategy in real-world situations. A diverse range of hedging transactions showing the ultimate payoff profiles and performance metrics are included. These have been designed to achieve the ultimate goal - to convey the necessary skills to allow business and risk management teams to develop proper hedging mechanisms and apply them in practice.
Author: Patrick Cusatis
Publisher: McGraw Hill Professional
ISBN: 9780071454537
Category : Business & Economics
Languages : en
Pages : 396
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Book Description
Books on complex hedging instruments are often more confusing than the instruments themselves. Hedging Instruments & Risk Management brings clarity to the topic, giving money managers the straightforward knowledge they need to employ hedging tools and techniques in four key markets—equity, currency, fixed income, and mortgage. Using real-world data and examples, this high-level book shows practitioners how to develop a common set of mathematical and statistical tools for hedging in various markets and then outlines several hedging strategies with the historical performance of each.
Author: Graciela Kaminsky
Publisher:
ISBN:
Category :
Languages : en
Pages : 32
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Book Description
This paper undertakes an econometric investigation into the presence of risk premium in commodity futures markets. The statistical tests are derived from a formal model of asset pricing and are applied to futures prices in a variety of commodity markets. The results suggest that for several commodities there is evidence of a time varying risk premium, particularly in futures contracts maturing six months ahead. The implications of the study for the efficiency of the futures markets and the costs of using these markets for hedging are also noted.
Author: Devraj Basu
Publisher:
ISBN:
Category :
Languages : en
Pages : 37
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Book Description
We construct long-short factor mimicking portfolios that capture the hedging pressure risk premium of commodity futures. We consider single sorts based on the open interests of either hedgers or speculators, as well as double sorts based on both positions. The long-short hedging pressure portfolios are priced cross-sectionally and offer Sharpe ratios that systematically exceed those of long-only benchmarks. Further tests show that the hedging pressure risk premiums rise with the volatility of commodity futures markets and that the predictive power of hedging pressure over cross-sectional commodity futures returns is different from the previously documented forecasting power of past returns and the slope of the term structure.
Author: David A. Hirshleifer
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper examines the determinants of commodity futures hedging and of risk premia arising from covariation of the futures price with stock market returns, and with the revenues of producers. Owing to supply shocks that stochastically redistribute real wealth (surplus) between producers and consumers, and to limited participation in the futures market, the total risk premium in the model is not proportional to the contract's covariance with aggregate consumption. Stock market variability interacts with the incentive to hedge, causing the producer hedging component of the risk premium to increase (decrease) with income elasticity, for a normal (inferior) good. Production costs that depend on output raise the premium. We argue that output and demand shocks will typically be positively correlated, raising the premium. High supply elasticity reduces the absolute hedging premium by reducing the variability of spot price and revenue.
Author: Nemanja [Verfasser] Bacinac
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Commodity futures, as derived instruments from the larger commodity asset class, are playing a very important role in todays globalised economy, with their main task - insuring companies future values of their inputs and/or outputs. From mid-2000s investments in various commodity futures have grown significantly, along with the inherent commodity prices. A great deal of individuals as well as institutional investors have embraced this type of alternative investment instruments for their presupposed equity-like returns, risk premiums, diversification and positive inflation correlation benefits. A commodity futures investor can consistently earn his risk premium in this specific market only if the commodity futures prices are on average determined at a lower level than the expected future spot prices of underlying commodities. Models presented in this paper are in favour of the view that commodity futures investors can be, depending on a time-frame, looking forward to positive risk premiums in commodity futures markets.*****Commodity futures, as derived instruments from the larger commodity asset class, are playing a very important role in todays globalised economy, with their main task - insuring companies future values of their inputs and/or outputs. From mid-2000s investments in various commodity futures have grown significantly, along with the inherent commodity prices. A great deal of individuals as well as institutional investors have embraced this type of alternative investment instruments for their presupposed equity-like returns, risk premiums, diversification and positive inflation correlation benefits. A commodity futures investor can consistently earn his risk premium in this specific market only if the commodity futures prices are on average determined at a lower level than the expected future spot prices of underlying commodities. Models presented in this paper are in favour of the view that commodity futures investors can be, depending on a time-frame, looking forward to positive risk premiums in commodity futures markets.
Author: Shi Wei
Publisher:
ISBN: 9780549126591
Category :
Languages : en
Pages : 114
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Book Description
This dissertation consists of three papers on risk management with empirical applications for commodity markets. The first two papers analyze selective hedging, where risk managers have views on future market conditions and sometimes hedge selectively based on these views. I develop two Bayesian optimal hedging models based on the Bayesian portfolio optimization framework. The Bayesian approach is chosen because it jointly considers subjective views and parameter estimation risk. The first paper considers only subjective views and estimation risk regarding the expectation vector of asset returns, while the second paper extends the framework to the covariance matrix of asset returns. Numerical examples in these studies show that subjective views can have a substantial impact on risk managers' hedging decisions and that the impact is most evident when the hedger speculates on market price direction and/or is pessimistic about the effectiveness of hedging, i.e., a breakdown in the correlation among different markets. Overall, the Bayesian optimal hedging models not only help explain the large cross-sectional and time-series variation in hedging positions often observed in practice, but also provide risk managers with a theoretically intuitive yet quantitatively rigorous tool to blend their views on market conditions with a "market-wide" or "firm-wide" consensus in determining optimal hedging positions. The third paper estimates the cost (i.e., risk premium) of pre-harvest forward contracting for wheat in Illinois and Kansas. Given the similarities between forward and futures markets, regression models used for testing the risk premium hypothesis in futures markets are applied to forward markets. Cost is estimated for both unconditional and conditional levels. The empirical results show that the average cost of forward contracting is higher than that of futures hedging in both states and cost varies systematically in relation to the level and volatility of forward prices.
Author: Hui Jiang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
